Sample records for rapid e-learning simulation

  1. Rapid E-Learning Simulation Training and User Response

    ERIC Educational Resources Information Center

    Rackler, Angeline

    2011-01-01

    A new trend in e-learning development is to have subject matter experts use rapid development tools to create training simulations. This type of training is called rapid e-learning simulation training. Though companies are using rapid development tools to create training quickly and cost effectively, there is little empirical research to indicate…

  2. e-Learning in nursing education--Challenges and opportunities.

    PubMed

    Kokol, Peter; Blazun, Helena; Micetić-Turk, Dusanka; Abbott, Patricia A

    2006-01-01

    Quick changes on the field of informational communication technologies forces educational and other institutions to think about different ways of teaching and learning in both formal and informal environments. It addition it is well known that due to fast advancement of science and technology the knowledge gained in schools is getting out-of-date rapidly, so life long learning is becoming an essential alternative. As a consequence we are facing a rapid development and use of new educational approaches such as e-learning, simulations, virtual reality, etc. They brought a revolution to learning and instruction. But in general the empirical results of e-learning studies are somewhat disappointing. They cannot prove the superiority of e-learning processes over traditional learning in general, neither in specific areas like nursing. In our international study we proved that e-Learning can have many benefits and that it can enhance learning experience in nursing education, but it has to be provided in correct manner.

  3. The future of e-learning in healthcare professional education: some possible directions. Commentary.

    PubMed

    Walsh, Kieran

    2014-01-01

    E-learning in healthcare professional education still seems like it is a new innovation but the reality is that e-learning has been around for as long as the internet has been around. This is approximately twenty years and so it is probably appropriate to now take stock and consider what the future of e-learning in healthcare professional education might be. One likely occurrence is that there will be more formats, more interactive technology, and sometimes game-based learning. Another future of healthcare professional education will likely be in simulation. Like other forms of technology outside of medicine, the cost of e-learning in healthcare professional education will fall rapidly. E-learning will also become more adaptive in the future and so will deliver educational content based on learners' exact needs. The future of e-learning will also be mobile. Increasingly in the future e-learning will be blended with face to face education.

  4. [The advantages of implementing an e-learning platform for laparoscopic liver surgery].

    PubMed

    Furcea, L; Graur, F; Scurtu, L; Plitea, N; Pîslă, D; Vaida, C; Deteşan, O; Szilaghy, A; Neagoş, H; Mureşan, A; Vlad, L

    2011-01-01

    The rapid expansion of laparoscopic surgery has led to the development of training methods for acquiring technical skills. The importance and complexity of laparoscopic liver surgery are arguments for developing a new integrated system of teaching, learning and evaluation, based on modern educational principles, on flexibility allowing wide accessibility among surgeons. This paper presents the development of e-learning platform designed for training in laparoscopic liver surgery and pre-planning of the operation in a virtual environment. E-learning platform makes it possible to simulate laparoscopic liver surgery remotely via internet connection. The addressability of this e-learning platform is large, being represented by young surgeons who are mainly preoccupied by laparoscopic liver surgery, as well as experienced surgeons interested in obtaining a competence in the hepatic minimally invasive surgery.

  5. Lessons Learned in Developing and Validating Models of Visual Search and Target Acquisition

    DTIC Science & Technology

    2000-03-01

    n al th at d istin gu ish es th e center t x u e t a s t o h t m g t o c r w t e f c lirregularity. texture transition that might occur with a...shown in Figure 5, and it allows the model to simulate the blue squares, and red squares). Neisser and others have performance of experienced human...Processes that Affect STA features support pop-out. For example, Neisser found that after extensive training, observers can learn to rapidly pick Another

  6. Rapid e-Learning Tools Selection Process for Cognitive and Psychomotor Learning Objectives

    ERIC Educational Resources Information Center

    Ku, David Tawei; Huang, Yung-Hsin

    2012-01-01

    This study developed a decision making process for the selection of rapid e-learning tools that could match different learning domains. With the development of the Internet, the speed of information updates has become faster than ever. E-learning has rapidly become the mainstream for corporate training and academic instruction. In order to reduce…

  7. Investigating Agricultural Instructors' Attitudes toward E-Learning in Iran

    ERIC Educational Resources Information Center

    Mohammadi, Davoud; Hosseini, Seyed Mahmoud; Fami, Hossein Shabanali

    2011-01-01

    With the rapid changes in all types of learning and teaching environments, there is a need to implement electronic learning (e-learning) to train students with new technologies. However the trend of using e-learning as learning and/or teaching tool is now rapidly expanding into education. Although e-learning environments are popular, there is…

  8. Modular Rapid E-Learning Framework (MORELF) in Desktop Virtualization Environment: An Effective Hybrid Implementation in Nurse Education

    ERIC Educational Resources Information Center

    Parlakkilic, Alattin

    2015-01-01

    Generally it is not easy for an instructor to prepare and deliver electronic courses via e-learning. Therefore it is necessary to work and develop an easy system. In this context module technology was used to for provide modularity in conducting educational development of e-learning course. Then, rapid e-learning was used for more quick and easy…

  9. Performance & Emotion--A Study on Adaptive E-Learning Based on Visual/Verbal Learning Styles

    ERIC Educational Resources Information Center

    Beckmann, Jennifer; Bertel, Sven; Zander, Steffi

    2015-01-01

    Adaptive e-Learning systems are able to adjust to a user's learning needs, usually by user modeling or tracking progress. Such learner-adaptive behavior has rapidly become a hot topic for e-Learning, furthered in part by the recent rapid increase in the use of MOOCs (Massive Open Online Courses). A lack of general, individual, and situational data…

  10. Exploring Simulation Utilization and Simulation Evaluation Practices and Approaches in Undergraduate Nursing Education

    ERIC Educational Resources Information Center

    Zitzelsberger, Hilde; Coffey, Sue; Graham, Leslie; Papaconstantinou, Efrosini; Anyinam, Charles

    2017-01-01

    Simulation-based learning (SBL) is rapidly becoming one of the most significant teaching-learning-evaluation strategies available in undergraduate nursing education. While there is indication within the literature and anecdotally about the benefits of simulation, abundant and strong evidence that supports the effectiveness of simulation for…

  11. Health Worker Focused Distributed Simulation for Improving Capability of Health Systems in Liberia.

    PubMed

    Gale, Thomas C E; Chatterjee, Arunangsu; Mellor, Nicholas E; Allan, Richard J

    2016-04-01

    The main goal of this study was to produce an adaptable learning platform using virtual learning and distributed simulation, which can be used to train health care workers, across a wide geographical area, key safety messages regarding infection prevention control (IPC). A situationally responsive agile methodology, Scrum, was used to develop a distributed simulation module using short 1-week iterations and continuous synchronous plus asynchronous communication including end users and IPC experts. The module contained content related to standard IPC precautions (including handwashing techniques) and was structured into 3 distinct sections related to donning, doffing, and hazard perception training. Using Scrum methodology, we were able to link concepts applied to best practices in simulation-based medical education (deliberate practice, continuous feedback, self-assessment, and exposure to uncommon events), pedagogic principles related to adult learning (clear goals, contextual awareness, motivational features), and key learning outcomes regarding IPC, as a rapid response initiative to the Ebola outbreak in West Africa. Gamification approach has been used to map learning mechanics to enhance user engagement. The developed IPC module demonstrates how high-frequency, low-fidelity simulations can be rapidly designed using scrum-based agile methodology. Analytics incorporated into the tool can help demonstrate improved confidence and competence of health care workers who are treating patients within an Ebola virus disease outbreak region. These concepts could be used in a range of evolving disasters where rapid development and communication of key learning messages are required.

  12. Mechanisms of Hierarchical Reinforcement Learning in Corticostriatal Circuits 1: Computational Analysis

    PubMed Central

    Badre, David

    2012-01-01

    Growing evidence suggests that the prefrontal cortex (PFC) is organized hierarchically, with more anterior regions having increasingly abstract representations. How does this organization support hierarchical cognitive control and the rapid discovery of abstract action rules? We present computational models at different levels of description. A neural circuit model simulates interacting corticostriatal circuits organized hierarchically. In each circuit, the basal ganglia gate frontal actions, with some striatal units gating the inputs to PFC and others gating the outputs to influence response selection. Learning at all of these levels is accomplished via dopaminergic reward prediction error signals in each corticostriatal circuit. This functionality allows the system to exhibit conditional if–then hypothesis testing and to learn rapidly in environments with hierarchical structure. We also develop a hybrid Bayesian-reinforcement learning mixture of experts (MoE) model, which can estimate the most likely hypothesis state of individual participants based on their observed sequence of choices and rewards. This model yields accurate probabilistic estimates about which hypotheses are attended by manipulating attentional states in the generative neural model and recovering them with the MoE model. This 2-pronged modeling approach leads to multiple quantitative predictions that are tested with functional magnetic resonance imaging in the companion paper. PMID:21693490

  13. Incorporating Social Oriented Agent and Interactive Simulation in E-learning: Impact on Learning, Perceptions, Experiences to Non-Native English Students

    ERIC Educational Resources Information Center

    Ballera, Melvin; Elssaedi, Mosbah Mohamed

    2012-01-01

    There is an unrealized potential in the use of socially-oriented pedagogical agent and interactive simulation in e-learning system. In this paper, we investigate the impact of having a socially oriented tutor agent and the incorporation of interactive simulation in e-learning into student performances, perceptions and experiences for non-native…

  14. Striving for Better Medical Education: the Simulation Approach.

    PubMed

    Sakakushev, Boris E; Marinov, Blagoi I; Stefanova, Penka P; Kostianev, Stefan St; Georgiou, Evangelos K

    2017-06-01

    Medical simulation is a rapidly expanding area within medical education due to advances in technology, significant reduction in training hours and increased procedural complexity. Simulation training aims to enhance patient safety through improved technical competency and eliminating human factors in a risk free environment. It is particularly applicable to a practical, procedure-orientated specialties. Simulation can be useful for novice trainees, experienced clinicians (e.g. for revalidation) and team building. It has become a cornerstone in the delivery of medical education, being a paradigm shift in how doctors are educated and trained. Simulation must take a proactive position in the development of metric-based simulation curriculum, adoption of proficiency benchmarking definitions, and should not depend on the simulation platforms used. Conversely, ingraining of poor practice may occur in the absence of adequate supervision, and equipment malfunction during the simulation can break the immersion and disrupt any learning that has occurred. Despite the presence of high technology, there is a substantial learning curve for both learners and facilitators. The technology of simulation continues to advance, offering devices capable of improved fidelity in virtual reality simulation, more sophisticated procedural practice and advanced patient simulators. Simulation-based training has also brought about paradigm shifts in the medical and surgical education arenas and ensured that the scope and impact of simulation will continue to broaden.

  15. Fast Learning for Immersive Engagement in Energy Simulations

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Bush, Brian W; Bugbee, Bruce; Gruchalla, Kenny M

    The fast computation which is critical for immersive engagement with and learning from energy simulations would be furthered by developing a general method for creating rapidly computed simplified versions of NREL's computation-intensive energy simulations. Created using machine learning techniques, these 'reduced form' simulations can provide statistically sound estimates of the results of the full simulations at a fraction of the computational cost with response times - typically less than one minute of wall-clock time - suitable for real-time human-in-the-loop design and analysis. Additionally, uncertainty quantification techniques can document the accuracy of the approximate models and their domain of validity. Approximationmore » methods are applicable to a wide range of computational models, including supply-chain models, electric power grid simulations, and building models. These reduced-form representations cannot replace or re-implement existing simulations, but instead supplement them by enabling rapid scenario design and quality assurance for large sets of simulations. We present an overview of the framework and methods we have implemented for developing these reduced-form representations.« less

  16. How copying affects the amount, evenness and persistence of cultural knowledge: insights from the social learning strategies tournament

    PubMed Central

    Rendell, L.; Boyd, R.; Enquist, M.; Feldman, M. W.; Fogarty, L.; Laland, K. N.

    2011-01-01

    Darwinian processes should favour those individuals that deploy the most effective strategies for acquiring information about their environment. We organized a computer-based tournament to investigate which learning strategies would perform well in a changing environment. The most successful strategies relied almost exclusively on social learning (here, learning a behaviour performed by another individual) rather than asocial learning, even when environments were changing rapidly; moreover, successful strategies focused learning effort on periods of environmental change. Here, we use data from tournament simulations to examine how these strategies might affect cultural evolution, as reflected in the amount of culture (i.e. number of cultural traits) in the population, the distribution of cultural traits across individuals, and their persistence through time. We found that high levels of social learning are associated with a larger amount of more persistent knowledge, but a smaller amount of less persistent expressed behaviour, as well as more uneven distributions of behaviour, as individuals concentrated on exploiting a smaller subset of behaviour patterns. Increased rates of environmental change generated increases in the amount and evenness of behaviour. These observations suggest that copying confers on cultural populations an adaptive plasticity, allowing them to respond to changing environments rapidly by drawing on a wider knowledge base. PMID:21357234

  17. How copying affects the amount, evenness and persistence of cultural knowledge: insights from the social learning strategies tournament.

    PubMed

    Rendell, L; Boyd, R; Enquist, M; Feldman, M W; Fogarty, L; Laland, K N

    2011-04-12

    Darwinian processes should favour those individuals that deploy the most effective strategies for acquiring information about their environment. We organized a computer-based tournament to investigate which learning strategies would perform well in a changing environment. The most successful strategies relied almost exclusively on social learning (here, learning a behaviour performed by another individual) rather than asocial learning, even when environments were changing rapidly; moreover, successful strategies focused learning effort on periods of environmental change. Here, we use data from tournament simulations to examine how these strategies might affect cultural evolution, as reflected in the amount of culture (i.e. number of cultural traits) in the population, the distribution of cultural traits across individuals, and their persistence through time. We found that high levels of social learning are associated with a larger amount of more persistent knowledge, but a smaller amount of less persistent expressed behaviour, as well as more uneven distributions of behaviour, as individuals concentrated on exploiting a smaller subset of behaviour patterns. Increased rates of environmental change generated increases in the amount and evenness of behaviour. These observations suggest that copying confers on cultural populations an adaptive plasticity, allowing them to respond to changing environments rapidly by drawing on a wider knowledge base.

  18. An Instructional and Collaborative Learning System with Content Recommendation

    ERIC Educational Resources Information Center

    Zheng, Xiang-wei; Ma, Hong-wei; Li, Yan

    2013-01-01

    With the rapid development of Internet, e-learning has become a new teaching and learning mode. However, lots of e-learning systems deployed on Internet are just electronic learning materials with very limited interactivity and diagnostic capability. This paper presents an integrated e-learning environment named iCLSR. Firstly, iCLSR provides an…

  19. Corporate E-Learning: How Three Healthcare Companies Implement and Measure the Effectiveness of E-Learning

    ERIC Educational Resources Information Center

    Hodges, Allison

    2009-01-01

    Technological advancements such as the growth of the Internet provide opportunities for learning that are hard to resist. As technology continues to change at a rapid pace, e-learning has become an important priority of corporate education. E-learning is evolving as a way to train and enhance employee value by combining different learning styles…

  20. Navigating the e-Learning Terrain: Aligning Technology, Pedagogy and Context

    ERIC Educational Resources Information Center

    Mentis, Mandia

    2008-01-01

    Over the last ten years e-learning has rapidly emerged as a potentially effective mode of higher education, but it is still unclear what factors are important in the design of an effective e-learning course. e-Learning has been described as being a "disruptive technology" that changes how learning is approached in higher education…

  1. Comparing Learning Outcomes of Video-Based E-Learning with Face-to-Face Lectures of Agricultural Engineering Courses in Korean Agricultural High Schools

    ERIC Educational Resources Information Center

    Park, Sung Youl; Kim, Soo-Wook; Cha, Seung-Bong; Nam, Min-Woo

    2014-01-01

    This study investigated the effectiveness of e-learning by comparing the learning outcomes in conventional face-to-face lectures and e-learning methods. Two video-based e-learning contents were developed based on the rapid prototyping model and loaded onto the learning management system (LMS), which was available at http://www.greenehrd.com.…

  2. eLearning techniques supporting problem based learning in clinical simulation.

    PubMed

    Docherty, Charles; Hoy, Derek; Topp, Helena; Trinder, Kathryn

    2005-08-01

    This paper details the results of the first phase of a project using eLearning to support students' learning within a simulated environment. The locus was a purpose built clinical simulation laboratory (CSL) where the School's philosophy of problem based learning (PBL) was challenged through lecturers using traditional teaching methods. a student-centred, problem based approach to the acquisition of clinical skills that used high quality learning objects embedded within web pages, substituting for lecturers providing instruction and demonstration. This encouraged student nurses to explore, analyse and make decisions within the safety of a clinical simulation. Learning was facilitated through network communications and reflection on video performances of self and others. Evaluations were positive, students demonstrating increased satisfaction with PBL, improved performance in exams, and increased self-efficacy in the performance of nursing activities. These results indicate that eLearning techniques can help students acquire clinical skills in the safety of a simulated environment within the context of a problem based learning curriculum.

  3. Pupil Science Learning in Resource-Based e-Learning Environments

    ERIC Educational Resources Information Center

    So, Wing-mui Winnie; Ching, Ngai-ying Fiona

    2011-01-01

    With the rapid expansion of broadband Internet connection and availability of high performance yet low priced computers, many countries around the world are advocating the adoption of e-learning, the use of computer technology to improve learning and teaching. The trend of e-learning has urged many teachers to incorporate online resources in their…

  4. Developing Guidelines for Evaluating the Adaptation of Accessible Web-Based Learning Materials

    ERIC Educational Resources Information Center

    Radovan, Marko; Perdih, Mojca

    2016-01-01

    E-learning is a rapidly developing form of education. One of the key characteristics of e-learning is flexibility, which enables easier access to knowledge for everyone. Information and communications technology (ICT), which is e-learning's main component, enables alternative means of accessing the web-based learning materials that comprise the…

  5. Wiki-Based Rapid Prototyping for Teaching-Material Design in E-Learning Grids

    ERIC Educational Resources Information Center

    Shih, Wen-Chung; Tseng, Shian-Shyong; Yang, Chao-Tung

    2008-01-01

    Grid computing environments with abundant resources can support innovative e-Learning applications, and are promising platforms for e-Learning. To support individualized and adaptive learning, teachers are encouraged to develop various teaching materials according to different requirements. However, traditional methodologies for designing teaching…

  6. The State of Simulations: Soft-Skill Simulations Emerge as a Powerful New Form of E-Learning.

    ERIC Educational Resources Information Center

    Aldrich, Clark

    2001-01-01

    Presents responses of leaders from six simulation companies about challenges and opportunities of soft-skills simulations in e-learning. Discussion includes: evaluation metrics; role of subject matter experts in developing simulations; video versus computer graphics; technology needed to run simulations; technology breakthroughs; pricing;…

  7. CaseWorld™: Interactive, media rich, multidisciplinary case based learning.

    PubMed

    Gillham, David; Tucker, Katie; Parker, Steve; Wright, Victoria; Kargillis, Christina

    2015-11-01

    Nurse educators are challenged to keep up with highly specialised clinical practice, emerging research evidence, regulation requirements and rapidly changing information technology while teaching very large numbers of diverse students in a resource constrained environment. This complex setting provides the context for the CaseWorld project, which aims to simulate those aspects of clinical practice that can be represented by e-learning. This paper describes the development, implementation and evaluation of CaseWorld, a simulated learning environment that supports case based learning. CaseWorld provides nursing students with the opportunity to view unfolding authentic cases presented in a rich multimedia context. The first round of comprehensive summative evaluation of CaseWorld is discussed in the context of earlier formative evaluation, reference group input and strategies for integration of CaseWorld with subject content. This discussion highlights the unique approach taken in this project that involved simultaneous prototype development and large scale implementation, thereby necessitating strong emphasis on staff development, uptake and engagement. The lessons learned provide an interesting basis for further discussion of broad content sharing across disciplines and universities, and the contribution that local innovations can make to global education advancement. Crown Copyright © 2015. Published by Elsevier Ltd. All rights reserved.

  8. Event-Driven Random Back-Propagation: Enabling Neuromorphic Deep Learning Machines

    PubMed Central

    Neftci, Emre O.; Augustine, Charles; Paul, Somnath; Detorakis, Georgios

    2017-01-01

    An ongoing challenge in neuromorphic computing is to devise general and computationally efficient models of inference and learning which are compatible with the spatial and temporal constraints of the brain. One increasingly popular and successful approach is to take inspiration from inference and learning algorithms used in deep neural networks. However, the workhorse of deep learning, the gradient descent Gradient Back Propagation (BP) rule, often relies on the immediate availability of network-wide information stored with high-precision memory during learning, and precise operations that are difficult to realize in neuromorphic hardware. Remarkably, recent work showed that exact backpropagated gradients are not essential for learning deep representations. Building on these results, we demonstrate an event-driven random BP (eRBP) rule that uses an error-modulated synaptic plasticity for learning deep representations. Using a two-compartment Leaky Integrate & Fire (I&F) neuron, the rule requires only one addition and two comparisons for each synaptic weight, making it very suitable for implementation in digital or mixed-signal neuromorphic hardware. Our results show that using eRBP, deep representations are rapidly learned, achieving classification accuracies on permutation invariant datasets comparable to those obtained in artificial neural network simulations on GPUs, while being robust to neural and synaptic state quantizations during learning. PMID:28680387

  9. Event-Driven Random Back-Propagation: Enabling Neuromorphic Deep Learning Machines.

    PubMed

    Neftci, Emre O; Augustine, Charles; Paul, Somnath; Detorakis, Georgios

    2017-01-01

    An ongoing challenge in neuromorphic computing is to devise general and computationally efficient models of inference and learning which are compatible with the spatial and temporal constraints of the brain. One increasingly popular and successful approach is to take inspiration from inference and learning algorithms used in deep neural networks. However, the workhorse of deep learning, the gradient descent Gradient Back Propagation (BP) rule, often relies on the immediate availability of network-wide information stored with high-precision memory during learning, and precise operations that are difficult to realize in neuromorphic hardware. Remarkably, recent work showed that exact backpropagated gradients are not essential for learning deep representations. Building on these results, we demonstrate an event-driven random BP (eRBP) rule that uses an error-modulated synaptic plasticity for learning deep representations. Using a two-compartment Leaky Integrate & Fire (I&F) neuron, the rule requires only one addition and two comparisons for each synaptic weight, making it very suitable for implementation in digital or mixed-signal neuromorphic hardware. Our results show that using eRBP, deep representations are rapidly learned, achieving classification accuracies on permutation invariant datasets comparable to those obtained in artificial neural network simulations on GPUs, while being robust to neural and synaptic state quantizations during learning.

  10. Developing a Tool to Measure the Impact of E-Learning on the Teachers of Higher Education

    ERIC Educational Resources Information Center

    Kumar, M. Rajesh; Kumar, R. Krishna

    2008-01-01

    The trend of using e-learning as a teaching tool is now rapidly expanding into education. Although e-learning environments are becoming popular there is minimal research on the impact of e-learning on the teachers. The purpose of this study is to develop a tool to measure the impact of e-learning on the teachers' of higher education in the Indian…

  11. Faculty Experiences, Perceptions, and the Factors That Influence the Use of E-Learning Technologies in the Classroom

    ERIC Educational Resources Information Center

    Burgos, Rosalina

    2014-01-01

    The rapid growth of e-learning technologies in higher education challenges university faculty to make their teaching relevant in these new contexts. As e-learning technologies are widely available, faculty members integrated them to their teaching repertoire. Several researchers discussed the impact of e-learning technologies on teaching and…

  12. Using numeric simulation in an online e-learning environment to teach functional physiological contexts.

    PubMed

    Christ, Andreas; Thews, Oliver

    2016-04-01

    Mathematical models are suitable to simulate complex biological processes by a set of non-linear differential equations. These simulation models can be used as an e-learning tool in medical education. However, in many cases these mathematical systems have to be treated numerically which is computationally intensive. The aim of the study was to develop a system for numerical simulation to be used in an online e-learning environment. In the software system the simulation is located on the server as a CGI application. The user (student) selects the boundary conditions for the simulation (e.g., properties of a simulated patient) on the browser. With these parameters the simulation on the server is started and the simulation result is re-transferred to the browser. With this system two examples of e-learning units were realized. The first one uses a multi-compartment model of the glucose-insulin control loop for the simulation of the plasma glucose level after a simulated meal or during diabetes (including treatment by subcutaneous insulin application). The second one simulates the ion transport leading to the resting and action potential in nerves. The student can vary parameters systematically to explore the biological behavior of the system. The described system is able to simulate complex biological processes and offers the possibility to use these models in an online e-learning environment. As far as the underlying principles can be described mathematically, this type of system can be applied to a broad spectrum of biomedical or natural scientific topics. Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.

  13. Validation and learning in the Procedicus KSA virtual reality surgical simulator.

    PubMed

    Ström, P; Kjellin, A; Hedman, L; Johnson, E; Wredmark, T; Felländer-Tsai, L

    2003-02-01

    Advanced simulator training within medicine is a rapidly growing field. Virtual reality simulators are being introduced as cost-saving educational tools, which also lead to increased patient safety. Fifteen medical students were included in the study. For 10 medical students performance was monitored, before and after 1 h of training, in two endoscopic simulators (the Procedicus KSA with haptic feedback and anatomical graphics and the established MIST simulator without this haptic feedback and graphics). Five medical students performed 50 tests in the Procedicus KSA in order to analyze learning curves. One of these five medical students performed multiple training sessions during 2 weeks and performed more than 300 tests. There was a significant improvement after 1 h of training regarding time, movement economy, and total score. The results in the two simulators were highly correlated. Our results show that the use of surgical simulators as a pedagogical tool in medical student training is encouraging. It shows rapid learning curves and our suggestion is to introduce endoscopic simulator training in undergraduate medical education during the course in surgery when motivation is high and before the development of "negative stereotypes" and incorrect practices.

  14. Engaging Workers in Simulation-Based E-Learning

    ERIC Educational Resources Information Center

    Slotte, Virpi; Herbert, Anne

    2008-01-01

    Purpose: The purpose of this paper is to evaluate learners' attitudes to the use of simulation-based e-learning as part of workplace learning when socially situated interaction and blended learning are specifically included in the instructional design. Design/methodology/approach: Responses to a survey questionnaire of 298 sales personnel were…

  15. Integrating Training Simulations and e-Learning Systems: The SimSCORM Platform (Integratie van Training Simulaties en e-Learning Systemen: Het SimSCORM Platform)

    DTIC Science & Technology

    2008-07-01

    SimSCORM Opdrachtnummer Trainingsconcepten voor Defensie Datum Programmanummer Projectnummer juli 2008 V406 032.13224 Auteur (s) ir H.L.H. de Penning...simulators can provide learners with powerful and realistic learning environments: whereas e-learning systems provide them with interactive, mostly theory ...practice and theory , in both learning and evaluation, is becoming increasingly important. From a learner’s point of view, a powerful learning environment

  16. Integration and Implementation of Web Simulators in Experimental e-Learning: An Application for Capacity Auctions

    ERIC Educational Resources Information Center

    Otamendi, Francisco Javier; Doncel, Luis Miguel

    2013-01-01

    Experimental teaching in general, and simulation in particular, have primarily been used in lecture rooms but in the future must also be adapted to e-learning. The integration of web simulators into virtual learning environments, coupled with specific supporting video documentation and the use of videoconference tools, results in robust…

  17. Promoting Effective E-Learning Practices through the Constructivist Pedagogy

    ERIC Educational Resources Information Center

    Keengwe, Jared; Onchwari, Grace; Agamba, Joachim

    2014-01-01

    Although rapid advances in technology has allowed for the growth of collaborative e-learning experiences unconstrained by time and space, technology has not been heavily infused in the activities of teaching and learning. This article examines the theory of constructivism as well as the design of e-learning activities using constructivist…

  18. Teaching Business Simulation Games: Comparing Achievements Frontal Teaching vs. eLearning

    NASA Astrophysics Data System (ADS)

    Bregman, David; Keinan, Gila; Korman, Arik; Raanan, Yossi

    This paper addresses the issue of comparing results achieved by students taught the same course but in two drastically different - a regular, frontal method and an eLearning method. The subject taught required intensive communications among the students, thus making the eLearning students, a priori, less likely to do well in it. The research, comparing the achievements of students in a business simulation game over three semesters, shows that the use of eLearning method did not result in any differences in performance, grades or cooperation, thus strengthening the case for using eLearning in this type of course.

  19. Enhancing SCORM Metadata for Assessment Authoring in E-Learning

    ERIC Educational Resources Information Center

    Chang, Wen-Chih; Hsu, Hui-Huang; Smith, Timothy K.; Wang, Chun-Chia

    2004-01-01

    With the rapid development of distance learning and the XML technology, metadata play an important role in e-Learning. Nowadays, many distance learning standards, such as SCORM, AICC CMI, IEEE LTSC LOM and IMS, use metadata to tag learning materials. However, most metadata models are used to define learning materials and test problems. Few…

  20. Learning Path Recommendation Based on Modified Variable Length Genetic Algorithm

    ERIC Educational Resources Information Center

    Dwivedi, Pragya; Kant, Vibhor; Bharadwaj, Kamal K.

    2018-01-01

    With the rapid advancement of information and communication technologies, e-learning has gained a considerable attention in recent years. Many researchers have attempted to develop various e-learning systems with personalized learning mechanisms for assisting learners so that they can learn more efficiently. In this context, curriculum sequencing…

  1. Rapid E-learning Development Strategies and a Multimedia Project Design Model

    ERIC Educational Resources Information Center

    Sözcü, Ömer Faruk; Ipek, Ismail

    2014-01-01

    The purpose of the study is to discuss e-learning design strategies which can be used for multimedia projects as a design model. Recent advances in instructional technologies have been found to be very important in the design of training courses by using rapid instructional design (ID) approaches. The approaches were developed to use in training…

  2. Critical success factors for implementing healthcare e-Learning.

    PubMed

    Lee, Te-Shu; Kuo, Mu-Hsing; Borycki, Elizabeth M; Yunyong, David

    2011-01-01

    The use of e-Learning in educational institutes has rapidly increased along with the development of information and communication technology (ICT). In healthcare, more medical educators are using e-Learning to support their curriculum design, delivery and evaluation. However, no systematic work exists on characterizing a collective set of Critical Success Factors (CSFs) for implementing e-Learning in the healthcare education institutions. The aim of this paper is to study the CSFs of implementing healthcare e-Learning.

  3. Challenges Affecting Adoption of E-Learning in Public Universities in Kenya

    ERIC Educational Resources Information Center

    Mutisya, Dorothy N.; Makokha, George L.

    2016-01-01

    Public universities in Kenya are, today, turning to the use of e-learning in an attempt to cope with the rapidly increasing demand for university education. This research was conducted between February 2012 and February 2014 to determine the challenges affecting the adoption of e-learning in these institutions of higher learning. Data were…

  4. E-Learning in Australia and Korea: Learning from Practice

    ERIC Educational Resources Information Center

    Misko, Josie; Choi, Jihee; Hong, Sun Yee; Lee, In Sook

    2004-01-01

    This project investigates the uptake of e-learning in two countries (Australia and Korea) which have experienced a rapid expansion of the use of information technology in education and training. A key finding is that although e-learning can increase flexibility and cost efficiencies in the delivery of training, it cannot on its own guarantee…

  5. The Design of Instructional Multimedia in E-Learning: A Media Richness Theory-Based Approach

    ERIC Educational Resources Information Center

    Sun, Pei-Chen; Cheng, Hsing Kenny

    2007-01-01

    The rapid development of computer and Internet technologies has made e-Learning become an important learning method. There has been a considerable increase in the needs for multimedia instructional material in e-Learning recently as such content has been shown to attract a learner's attention and interests. The multimedia content alone, however,…

  6. Self-Selection of Vocabulary in Reading Instruction

    ERIC Educational Resources Information Center

    Peterson, Candida C.

    1974-01-01

    The child's process of learning to read was simulated by teaching adults to associate Chinese characters with spoken words. When the students chose words to be learned, learning was more rapid than when words were selected by the examiner from a basal reader. (Author/JA)

  7. E-Learning in Higher Education--Opportunities & Challenges for Dubai

    ERIC Educational Resources Information Center

    Gokah, Theophilus K.; Gupta, Namrata; Ndiweni, Esinath

    2015-01-01

    E-Learning is becoming a popular delivery method across various universities and colleges in Dubai as the region is experiencing a rapid growth of e-Learning in higher education. Adequate infrastructure, changes in demographic profile, globalization, government initiatives, outsourcing and increasing demand for IT knowledge based jobs are the…

  8. Lessons Learned from Implementing E-Learning for the Education of Health Professionals in Resource-Constrained Countries

    ERIC Educational Resources Information Center

    Gupta, Manu; Marsden, Sophie; Oluka, Tony; Sharma, Reetu; Lucas, Henry

    2017-01-01

    The growing global demand for tertiary education has led to the increased use of e-learning approaches around the world. Demand has increased most rapidly in low and middle income countries (LMICs), which account for half of the students currently enrolled in higher educational institutions (HEIs). But the implementation of e-learning programmes…

  9. Efficient E-Learning by Dint of Cognitive Abilities

    ERIC Educational Resources Information Center

    Asaph, Amudha; Raja, B. William Dharma

    2016-01-01

    The purpose of this article is to portray the effective ways of utilizing cognitive abilities for efficient e-learning. In the present scenario, globalization and advancements in technology have driven changes in the sphere of social, technological, economic environment and political landscapes at a rapid rate. E-learning is, one among the new…

  10. Mixed Skies Ahead: What Happened to E-Learning and Why

    ERIC Educational Resources Information Center

    Change, 2004

    2004-01-01

    The most recent educational innovation to capture widespread attention derives from the linking of rapidly maturing informational technologies to the renewed interest in how, when, and why people learn. Technically defined as electronically mediated instruction, but dubbed "e-learning" to mark its place within the larger e-commerce revolution,…

  11. Integrated Modeling, Mapping, and Simulation (IMMS) framework for planning exercises.

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Friedman-Hill, Ernest J.; Plantenga, Todd D.

    2010-06-01

    The Integrated Modeling, Mapping, and Simulation (IMMS) program is designing and prototyping a simulation and collaboration environment for linking together existing and future modeling and simulation tools to enable analysts, emergency planners, and incident managers to more effectively, economically, and rapidly prepare, analyze, train, and respond to real or potential incidents. When complete, the IMMS program will demonstrate an integrated modeling and simulation capability that supports emergency managers and responders with (1) conducting 'what-if' analyses and exercises to address preparedness, analysis, training, operations, and lessons learned, and (2) effectively, economically, and rapidly verifying response tactics, plans and procedures.

  12. Optimisation of GaN LEDs and the reduction of efficiency droop using active machine learning

    DOE PAGES

    Rouet-Leduc, Bertrand; Barros, Kipton Marcos; Lookman, Turab; ...

    2016-04-26

    A fundamental challenge in the design of LEDs is to maximise electro-luminescence efficiency at high current densities. We simulate GaN-based LED structures that delay the onset of efficiency droop by spreading carrier concentrations evenly across the active region. Statistical analysis and machine learning effectively guide the selection of the next LED structure to be examined based upon its expected efficiency as well as model uncertainty. This active learning strategy rapidly constructs a model that predicts Poisson-Schrödinger simulations of devices, and that simultaneously produces structures with higher simulated efficiencies.

  13. E-Learning, Engineering, and Learners of African Descent: A Needs Analysis

    ERIC Educational Resources Information Center

    Eugene, Wanda; Clark, Kevin

    2012-01-01

    The rapid growth and short history of e-Learning technologies and the desire to see these technologies integrated into the learning process have caused a lack of specific guidance and firm foundation of principles on which to base instructional choices. Lessons cultivated in the Learning Sciences about the cultural influences of learning provide a…

  14. E-Learning Futures? Speculations for a Time Yet to Come

    ERIC Educational Resources Information Center

    Hedberg, John G.

    2006-01-01

    This paper examines some of the ways in which e-learning has failed to live up to its early promise and suggests how this situation might be remedied. Two of the main challenges for the future of e-learning are explored: the ever shifting nature of the e-landscape, characterized by its rapidly changing technologies, software and marketing…

  15. A Fuzzy Logic-Based Quality Function Deployment for Selection of E-Learning Provider

    ERIC Educational Resources Information Center

    Kazancoglu, Yigit; Aksoy, Murat

    2011-01-01

    According to the Internet World Stats (2010), the growth rate of internet usage in the world is 444.8 % from 2000 to 2010. Since the number of internet users is rapidly increasing with each passed year, e-learning is often identified with web-based learning. The institutions, which deliver e-learning service via the use of computer and internet,…

  16. Electronic patient-reported data capture as a foundation of rapid learning cancer care.

    PubMed

    Abernethy, Amy P; Ahmad, Asif; Zafar, S Yousuf; Wheeler, Jane L; Reese, Jennifer Barsky; Lyerly, H Kim

    2010-06-01

    "Rapid learning healthcare" presents a new infrastructure to support comparative effectiveness research. By leveraging heterogeneous datasets (eg, clinical, administrative, genomic, registry, and research), health information technology, and sophisticated iterative analyses, rapid learning healthcare provides a real-time framework in which clinical studies can evaluate the relative impact of therapeutic approaches on a diverse array of measures. This article describes an effort, at 1 academic medical center, to demonstrate what rapid learning healthcare might look like in operation. The article describes the process of developing and testing the components of this new model of integrated clinical/research function, with the pilot site being an academic oncology clinic and with electronic patient-reported outcomes (ePROs) being the foundational dataset. Steps included: feasibility study of the ePRO system; validation study of ePRO collection across 3 cancers; linking ePRO and other datasets; implementation; stakeholder alignment and buy in, and; demonstration through use cases. Two use cases are presented; participants were metastatic breast cancer (n = 65) and gastrointestinal cancer (n = 113) patients at 2 academic medical centers. (1) Patient-reported symptom data were collected with tablet computers; patients with breast and gastrointestinal cancer indicated high levels of sexual distress, which prompted multidisciplinary response, design of an intervention, and successful application for funding to study the intervention's impact. (2) The system evaluated the longitudinal impact of a psychosocial care program provided to patients with breast cancer. Participants used tablet computers to complete PRO surveys; data indicated significant impact on psychosocial outcomes, notably distress and despair, despite advanced disease. Results return to the clinic, allowing iterative update and evaluation. An ePRO-based rapid learning cancer clinic is feasible, providing real-time research-quality data to support comparative effectiveness research.

  17. Crisis checklists for in-hospital emergencies: expert consensus, simulation testing and recommendations for a template determined by a multi-institutional and multi-disciplinary learning collaborative.

    PubMed

    Subbe, Christian P; Kellett, John; Barach, Paul; Chaloner, Catriona; Cleaver, Hayley; Cooksley, Tim; Korsten, Erik; Croke, Eilish; Davis, Elinor; De Bie, Ashley Jr; Durham, Lesley; Hancock, Chris; Hartin, Jilian; Savijn, Tracy; Welch, John

    2017-05-08

    'Failure to rescue' of hospitalized patients with deteriorating physiology on general wards is caused by a complex array of organisational, technical and cultural failures including a lack of standardized team and individual expected responses and actions. The aim of this study using a learning collaborative method was to develop consensus recomendations on the utility and effectiveness of checklists as training and operational tools to assist in improving the skills of general ward staff on the effective rescue of patients with abnormal physiology. A scoping study of the literature was followed by a multi-institutional and multi-disciplinary international learning collaborative. We sought to achieve a consensus on procedures and clinical simulation technology to determine the requirements, develop and test a safe using a checklist template that is rapidly accessible to assist in emergency management of common events for general ward use. Safety considerations about deteriorating patients were agreed upon and summarized. A consensus was achieved among an international group of experts on currently available checklist formats performing poorly in simulation testing as first responders in general ward clinical crises. The Crisis Checklist Collaborative ratified a consensus template for a general ward checklist that provides a list of issues for first responders to address (i.e. 'Check In'), a list of prompts regarding common omissions (i.e. 'Stop & Think'), and, a list of items required for the safe "handover" of patients that remain on the general ward (i.e. 'Check Out'). Simulation usability assessment of the template demonstrated feasibility for clinical management of deteriorating patients. Emergency checklists custom-designed for general ward patients have the potential to guide the treatment speed and reliability of responses for emergency management of patients with abnormal physiology while minimizing the risk of adverse events. Interventional trials are needed.

  18. Learning to speciate: The biased learning of mate preferences promotes adaptive radiation

    PubMed Central

    Gilman, R. Tucker; Kozak, Genevieve M.

    2015-01-01

    Bursts of rapid repeated speciation called adaptive radiations have generated much of Earth's biodiversity and fascinated biologists since Darwin, but we still do not know why some lineages radiate and others do not. Understanding what causes assortative mating to evolve rapidly and repeatedly in the same lineage is key to understanding adaptive radiation. Many species that have undergone adaptive radiations exhibit mate preference learning, where individuals acquire mate preferences by observing the phenotypes of other members of their populations. Mate preference learning can be biased if individuals also learn phenotypes to avoid in mates, and shift their preferences away from these avoided phenotypes. We used individual‐based computational simulations to study whether biased and unbiased mate preference learning promotes ecological speciation and adaptive radiation. We found that ecological speciation can be rapid and repeated when mate preferences are biased, but is inhibited when mate preferences are learned without bias. Our results suggest that biased mate preference learning may play an important role in generating animal biodiversity through adaptive radiation. PMID:26459795

  19. Earth System Modeling 2.0: A Blueprint for Models That Learn From Observations and Targeted High-Resolution Simulations

    NASA Astrophysics Data System (ADS)

    Schneider, Tapio; Lan, Shiwei; Stuart, Andrew; Teixeira, João.

    2017-12-01

    Climate projections continue to be marred by large uncertainties, which originate in processes that need to be parameterized, such as clouds, convection, and ecosystems. But rapid progress is now within reach. New computational tools and methods from data assimilation and machine learning make it possible to integrate global observations and local high-resolution simulations in an Earth system model (ESM) that systematically learns from both and quantifies uncertainties. Here we propose a blueprint for such an ESM. We outline how parameterization schemes can learn from global observations and targeted high-resolution simulations, for example, of clouds and convection, through matching low-order statistics between ESMs, observations, and high-resolution simulations. We illustrate learning algorithms for ESMs with a simple dynamical system that shares characteristics of the climate system; and we discuss the opportunities the proposed framework presents and the challenges that remain to realize it.

  20. A Systematic Review Approach to Technologies Used for Learning and Education

    ERIC Educational Resources Information Center

    Purarjomandlangrudi, Afrooz; Chen, David; Nguyen, Anne

    2015-01-01

    E-learning is implementation of technologies in learning process and is growing at a very rapid pace. E-learning technology has matured noticeably and the majority of organisations are taking advantage of it in their educational systems. However, there is a lack of methodical and consistent paradigm of these technologies in literature. The purpose…

  1. Guiding Students to the Right Questions: Adaptive Navigation Support in an E-Learning System for Java Programming

    ERIC Educational Resources Information Center

    Hsiao, I.-H.; Sosnovsky, S.; Brusilovsky, P.

    2010-01-01

    Rapid growth of the volume of interactive questions available to the students of modern E-Learning courses placed the problem of personalized guidance on the agenda of E-Learning researchers. Without proper guidance, students frequently select too simple or too complicated problems and ended either bored or discouraged. This paper explores a…

  2. The Current Status and Future Prospects of Corporate e-Learning in Korea

    ERIC Educational Resources Information Center

    Lim, Cheolil

    2007-01-01

    Corporate e-Learning in Korea has grown rapidly over the previous six years (2000-2005). This study argues that the main cause of this heightened interest in corporate e-Learning in Korea was not that companies needed to provide high-quality training programs through the Internet, but rather that the government took initiative to transform the…

  3. Virtual reality simulation: using three-dimensional technology to teach nursing students.

    PubMed

    Jenson, Carole E; Forsyth, Diane McNally

    2012-06-01

    The use of computerized technology is rapidly growing in the classroom and in healthcare. An emerging computer technology strategy for nursing education is the use of virtual reality simulation. This computer-based three-dimensional educational tool simulates real-life patient experiences in a risk-free environment, allows for repeated practice sessions, requires clinical decision making, exposes students to diverse patient conditions, provides immediate feedback, and is portable. The purpose of this article was to review the importance of virtual reality simulation as a computerized teaching strategy. In addition, a project to explore readiness of nursing faculty at one major Midwestern university for the use of virtual reality simulation as a computerized teaching strategy is described where faculty thought virtual reality simulation would increase students' knowledge of an intravenous line insertion procedure. Faculty who practiced intravenous catheter insertion via virtual reality simulation expressed a wide range of learning experiences from using virtual reality simulation that is congruent with the literature regarding the barriers to student learning. Innovative teaching strategies, such as virtual reality simulation, address barriers of increasing patient acuity, high student-to-faculty ratio, patient safety concerns from faculty, and student anxiety and can offer rapid feedback to students.

  4. Training monitoring skills in helicopter pilots.

    PubMed

    Potter, Brian A; Blickensderfer, Elizabeth L; Boquet, Albert J

    2014-05-01

    Prior research has indicated that ineffective pilot monitoring has been associated with aircraft accidents. Despite this finding, empirical research concerning pilot monitoring skill training programs is nearly nonexistent. E-learning may prove to be an effective method to foster nontechnical flight skills, including monitoring. This study examined the effect of using e-learning to enhance helicopter aircrew monitoring skill performance. The design was a posttest only field study. Forty-four helicopter pilots completed either an e-learning training module or a control activity and then flew two scenarios in a high-fidelity flight simulator. Learner reactions and knowledge gained were assessed immediately following the e-learning module. Two observer raters assessed behaviors and performance outcomes using recordings of the simulation flights. Subjects who completed the e-learning training module scored almost twice as high as did the control group on the administered knowledge test (experimental group, mean = 92.8%; control group, mean = 47.7%) and demonstrated up to 150% more monitoring behaviors during the simulated flights than the control subjects. In addition, the participating pilots rated the course highly. The results supported the hypothesis that a relatively inexpensive and brief training course implemented through e-learning can foster monitoring skill development among helicopter pilots.

  5. Investigating the Structural Relationships among Organisational Support, Learning Flow, Learners' Satisfaction and Learning Transfer in Corporate E-Learning

    ERIC Educational Resources Information Center

    Joo, Young Ju; Lim, Kyu Yon; Park, Su Yeong

    2011-01-01

    E-learning in corporate training has been growing rapidly because of the pursuit of time and budget efficiency in course development and delivery. However, according to previous studies, efficiency does not always guarantee training effectiveness, which is the major concern of human resource development. It is therefore necessary to identify the…

  6. Effects of Digital Teaching on the Thinking Styles and the Transfer of Learning of the Students in Department of Interior Design

    ERIC Educational Resources Information Center

    Liu, Kuang Sheng; Hsueh, Sung-Lin

    2016-01-01

    Along with the constant advance of information technology and the rapid development of the Internet, the diverse functions and characteristics of e-learning break through lots of limitations in traditional instruction. Properly integrating e-learning design with Internet activities could enhance students' learning effect, and applying digital…

  7. Delay Assessment Framework for Automated Question-Answering System: An Approach for eLearning Paradigm

    ERIC Educational Resources Information Center

    Iqbal, Muhammad Munwar; Saleem, Yasir

    2017-01-01

    Adoption of Electronic Learning (eLearning) for the dissemination of higher education is rapidly increasing day by day. A large number of universities offering hundreds of course and a large number of the students are taking advantage from this type of learning paradigm. The purpose of this study is to investigate the delay factor in answering the…

  8. BlueSky Cloud Framework: An E-Learning Framework Embracing Cloud Computing

    NASA Astrophysics Data System (ADS)

    Dong, Bo; Zheng, Qinghua; Qiao, Mu; Shu, Jian; Yang, Jie

    Currently, E-Learning has grown into a widely accepted way of learning. With the huge growth of users, services, education contents and resources, E-Learning systems are facing challenges of optimizing resource allocations, dealing with dynamic concurrency demands, handling rapid storage growth requirements and cost controlling. In this paper, an E-Learning framework based on cloud computing is presented, namely BlueSky cloud framework. Particularly, the architecture and core components of BlueSky cloud framework are introduced. In BlueSky cloud framework, physical machines are virtualized, and allocated on demand for E-Learning systems. Moreover, BlueSky cloud framework combines with traditional middleware functions (such as load balancing and data caching) to serve for E-Learning systems as a general architecture. It delivers reliable, scalable and cost-efficient services to E-Learning systems, and E-Learning organizations can establish systems through these services in a simple way. BlueSky cloud framework solves the challenges faced by E-Learning, and improves the performance, availability and scalability of E-Learning systems.

  9. Addressing the Context of E-Learning: Using Transactional Distance Theory to Inform Design

    ERIC Educational Resources Information Center

    Benson, Robyn; Samarawickrema, Gayani

    2009-01-01

    The rapidly expanding range of options available for innovative e-learning approaches based on emerging technologies has given renewed importance to teaching and learning issues that have long been familiar to distance educators. These issues arise from the separation between learners, and between teacher and learners, which occurs when learning…

  10. A Practical Ontology Query Expansion Algorithm for Semantic-Aware Learning Objects Retrieval

    ERIC Educational Resources Information Center

    Lee, Ming-Che; Tsai, Kun Hua; Wang, Tzone I.

    2008-01-01

    Following the rapid development of Internet, particularly web page interaction technology, distant e-learning has become increasingly realistic and popular. To solve the problems associated with sharing and reusing teaching materials in different e-learning systems, several standard formats, including SCORM, IMS, LOM, and AICC, etc., recently have…

  11. Smart Learning Adoption in Employees and HRD Managers

    ERIC Educational Resources Information Center

    Lee, Junghwan; Zo, Hangjung; Lee, Hwansoo

    2014-01-01

    The innovation of online technologies and the rapid diffusion of smart devices are changing workplace learning environment. Smart learning, as emerging learning paradigm, enables employees' learning to take place anywhere and anytime. Workplace learning studies, however, have focused on traditional e-learning environment, and they have failed…

  12. The Future of e-Learning in Medical Education: Current Trend and Future Opportunity

    PubMed Central

    2006-01-01

    A wide range of e-learning modalities are widely integrated in medical education. However, some of the key questions related to the role of e-learning remain unanswered, such as (1) what is an effective approach to integrating technology into pre-clinical vs. clinical training?; (2) what evidence exists regarding the type and format of e-learning technology suitable for medical specialties and clinical settings?; (3) which design features are known to be effective in designing on-line patient simulation cases, tutorials, or clinical exams?; and (4) what guidelines exist for determining an appropriate blend of instructional strategies, including on-line learning, face-to-face instruction, and performance-based skill practices? Based on the existing literature and a variety of e-learning examples of synchronous learning tools and simulation technology, this paper addresses the following three questions: (1) what is the current trend of e-learning in medical education?; (2) what do we know about the effective use of e-learning?; and (3) what is the role of e-learning in facilitating newly emerging competency-based training? As e-learning continues to be widely integrated in training future physicians, it is critical that our efforts in conducting evaluative studies should target specific e-learning features that can best mediate intended learning goals and objectives. Without an evolving knowledge base on how best to design e-learning applications, the gap between what we know about technology use and how we deploy e-learning in training settings will continue to widen. PMID:19223995

  13. Self-learning Monte Carlo method

    DOE PAGES

    Liu, Junwei; Qi, Yang; Meng, Zi Yang; ...

    2017-01-04

    Monte Carlo simulation is an unbiased numerical tool for studying classical and quantum many-body systems. One of its bottlenecks is the lack of a general and efficient update algorithm for large size systems close to the phase transition, for which local updates perform badly. In this Rapid Communication, we propose a general-purpose Monte Carlo method, dubbed self-learning Monte Carlo (SLMC), in which an efficient update algorithm is first learned from the training data generated in trial simulations and then used to speed up the actual simulation. Lastly, we demonstrate the efficiency of SLMC in a spin model at the phasemore » transition point, achieving a 10–20 times speedup.« less

  14. e-Learning development in medical physics and engineering

    PubMed Central

    Tabakov, S

    2008-01-01

    Medical Physics and Engineering was among the first professions to develop and apply e-Learning (e-L). The profession provides excellent background for application of simulations and other e-L materials. The paper describes several layers for e-L development: Programming specific simulations; Building e-L modules; Development of e-L web-based programmes. The paper shows examples from these layers and outlines their specificities. At the end, the newest e-L development (project EMITEL) is briefly introduced and the necessity of a regularly updated list of e-L activities is emphasised. PMID:21614312

  15. Student Learning Opportunities in Traditional and Computer-Mediated Internships

    ERIC Educational Resources Information Center

    Bayerlein, Leopold; Jeske, Debora

    2018-01-01

    Purpose: The purpose of this paper is to provide a student learning outcome focussed assessment of the benefits and limitations of traditional internships, e-internships, and simulated internships to evaluate the potential of computer-mediated internships (CMIs) (e-internships and simulated internships) within higher education from a student…

  16. Evolution from Collaborative Learning to Symbiotic E-Learning: Creation of New E-Learning Environment for Knowledge Society

    ERIC Educational Resources Information Center

    Songhao, He; Saito, Kenji; Maeda, Takashi; Kubo, Takara

    2011-01-01

    For people who live in the knowledge society which has rapidly been changing, learning in the widest sense becomes indispensable in all phases of working, living and playing. The construction of an environment, to meet the demands of people who need to acquire new knowledge and skills as the need arises, and enlighten each other regularly, is…

  17. E-Learning System for Learning Virtual Circuit Making with a Microcontroller and Programming to Control a Robot

    ERIC Educational Resources Information Center

    Takemura, Atsushi

    2015-01-01

    This paper proposes a novel e-Learning system for learning electronic circuit making and programming a microcontroller to control a robot. The proposed e-Learning system comprises a virtual-circuit-making function for the construction of circuits with a versatile, Arduino microcontroller and an educational system that can simulate behaviors of…

  18. Game-Enhanced Simulation as an Approach to Experiential Learning in Business English

    ERIC Educational Resources Information Center

    Punyalert, Sansanee

    2017-01-01

    This dissertation aims to integrate various learning approaches, i.e., multiple literacies, experiential learning, game-enhanced learning, and global simulation, into an extracurricular module, in which it remodels traditional ways of teaching input, specifically, the lexical- and grammatical-only approaches of business English at a private…

  19. A Rapid Auto-Indexing Technology for Designing Readable E-Learning Content

    ERIC Educational Resources Information Center

    Yu, Pao-Ta; Liao, Yuan-Hsun; Su, Ming-Hsiang; Cheng, Po-Jen; Pai, Chun-Hsuan

    2012-01-01

    A rapid scene indexing method is proposed to improve retrieval performance for students accessing instructional videos. This indexing method is applied to anchor suitable indices to the instructional video so that students can obtain several small lesson units to gain learning mastery. The method also regulates online course progress. These…

  20. Effective e-learning in surgical education: the core values underpinning effective e-learning environments and how these may be enhanced for future surgical education.

    PubMed

    Bamford, R; Coulston, J

    2016-01-01

    e-learning is a valuable tool that has a number of advantages for Surgical Oncology training and education. The rapidly evolving nature of, and limited clinical exposure to oncological practice creates challenges for surgical trainees to stay up to date and engaged. Online learning can be accessed anywhere at any time and allows trainees to develop, apply and be assessed on their learning. To be effective, it must be educationally sound and embrace technology to enhance learners' experience.

  1. Effect of Multimedia Assisted 7e Learning Model Applications on Academic Achievement and Retention in Students

    ERIC Educational Resources Information Center

    Sarac, Hakan; Tarhan, Devrim

    2017-01-01

    In the rapidly developing age of technology, the contribution of using multimedia-supported instructional materials in the field of teaching technologies to science education has been increasing steadily. The purpose of this research is to compare the multimedia learning instructional materials prepared according to the 7E learning model and the…

  2. Assessing the Attention Levels of Students by Using a Novel Attention Aware System Based on Brainwave Signals

    ERIC Educational Resources Information Center

    Chen, Chih-Ming; Wang, Jung-Ying; Yu, Chih-Ming

    2017-01-01

    Rapid progress in information and communication technologies (ICTs) has fueled the popularity of e-learning. However, an e-learning environment is limited in that online instructors cannot monitor immediately whether students remain focus during online autonomous learning. Therefore, this study tries to develop a novel attention aware system (AAS)…

  3. High School Students in the New Learning Environment: A Profile of Distance E-Learners

    ERIC Educational Resources Information Center

    Kirby, Dale; Sharpe, Dennis

    2010-01-01

    The relative ubiquity of computer access and the rapid development of information and communication technology have profoundly impacted teaching and learning at a distance. Relatively little is currently known about the characteristics of those students who participate in distance e-learning courses at the secondary school level. In an effort to…

  4. MEAT: An Authoring Tool for Generating Adaptable Learning Resources

    ERIC Educational Resources Information Center

    Kuo, Yen-Hung; Huang, Yueh-Min

    2009-01-01

    Mobile learning (m-learning) is a new trend in the e-learning field. The learning services in m-learning environments are supported by fundamental functions, especially the content and assessment services, which need an authoring tool to rapidly generate adaptable learning resources. To fulfill the imperious demand, this study proposes an…

  5. Virtual Labs in proteomics: new E-learning tools.

    PubMed

    Ray, Sandipan; Koshy, Nicole Rachel; Reddy, Panga Jaipal; Srivastava, Sanjeeva

    2012-05-17

    Web-based educational resources have gained enormous popularity recently and are increasingly becoming a part of modern educational systems. Virtual Labs are E-learning platforms where learners can gain the experience of practical experimentation without any direct physical involvement on real bench work. They use computerized simulations, models, videos, animations and other instructional technologies to create interactive content. Proteomics being one of the most rapidly growing fields of the biological sciences is now an important part of college and university curriculums. Consequently, many E-learning programs have started incorporating the theoretical and practical aspects of different proteomic techniques as an element of their course work in the form of Video Lectures and Virtual Labs. To this end, recently we have developed a Virtual Proteomics Lab at the Indian Institute of Technology Bombay, which demonstrates different proteomics techniques, including basic and advanced gel and MS-based protein separation and identification techniques, bioinformatics tools and molecular docking methods, and their applications in different biological samples. This Tutorial will discuss the prominent Virtual Labs featuring proteomics content, including the Virtual Proteomics Lab of IIT-Bombay, and E-resources available for proteomics study that are striving to make proteomic techniques and concepts available and accessible to the student and research community. This Tutorial is part of the International Proteomics Tutorial Programme (IPTP 14). Details can be found at: http://www.proteomicstutorials.org/. Copyright © 2012 Elsevier B.V. All rights reserved.

  6. Students' performance in phonological awareness, rapid naming, reading, and writing.

    PubMed

    Capellini, Simone Aparecida; Lanza, Simone Cristina

    2010-01-01

    phonological awareness, rapid naming, reading and writing in students with learning difficulties of a municipal public school. to characterize and compare the performance of students from public schools with and without learning difficulties in phonological awareness, rapid naming, reading and writing. participants were 60 students from the 2nd to the 4th grades of municipal public schools divided into 6 groups. Each group was composed by 10 students, being 3 groups of students without learning difficulties and 3 groups with students with learning difficulties. As testing procedure phonological awareness, rapid automatized naming, oral reading and writing under dictation assessments were used. the results highlighted the better performance of students with no learning difficulties. Students with learning difficulties presented a higher ratios considering time/speed in rapid naming tasks and, consequently, lower production in activities of phonological awareness and reading and writing, when compared to students without learning difficulties. students with learning difficulties presented deficits when considering the relationship between naming and automatization skills, and among lexical access, visual discrimination, stimulus frequency use and competition in using less time for code naming, i.e. necessary for the phoneme-grapheme conversion process required in the reading and writing alphabetic system like the Portuguese language.

  7. Delivery of Learning Knowledge Objects Using Fuzzy Clustering

    ERIC Educational Resources Information Center

    Sabitha, A. Sai; Mehrotra, Deepti; Bansal, Abhay

    2016-01-01

    e-Learning industry is rapidly changing and the current learning trends are based on personalized, social and mobile learning, content reusability, cloud-based and talent management. The learning systems have attained a significant growth catering to the needs of a wide range of learners, having different approaches and styles of learning. Objects…

  8. Creating Interactive E-Books through Learning by Design: The Impacts of Guided Peer-Feedback on Students' Learning Achievements and Project Outcomes in Science Courses

    ERIC Educational Resources Information Center

    Hwang, Gwo-Jen; Tu, Nien-Ting; Wang, Xiao-Ming

    2018-01-01

    With the rapid progress of technology, the popularity of tablet computers and the development of e-book applications have brought the use of e-books as a learning tool under the spotlight. In the meantime, the aim of school education lies not only in providing students with knowledge but also in encouraging them to construct knowledge actively.…

  9. Discovering charge density functionals and structure-property relationships with PROPhet: A general framework for coupling machine learning and first-principles methods

    DOE PAGES

    Kolb, Brian; Lentz, Levi C.; Kolpak, Alexie M.

    2017-04-26

    Modern ab initio methods have rapidly increased our understanding of solid state materials properties, chemical reactions, and the quantum interactions between atoms. However, poor scaling often renders direct ab initio calculations intractable for large or complex systems. There are two obvious avenues through which to remedy this problem: (i) develop new, less expensive methods to calculate system properties, or (ii) make existing methods faster. This paper describes an open source framework designed to pursue both of these avenues. PROPhet (short for PROPerty Prophet) utilizes machine learning techniques to find complex, non-linear mappings between sets of material or system properties. Themore » result is a single code capable of learning analytical potentials, non-linear density functionals, and other structure-property or property-property relationships. These capabilities enable highly accurate mesoscopic simulations, facilitate computation of expensive properties, and enable the development of predictive models for systematic materials design and optimization. Here, this work explores the coupling of machine learning to ab initio methods through means both familiar (e.g., the creation of various potentials and energy functionals) and less familiar (e.g., the creation of density functionals for arbitrary properties), serving both to demonstrate PROPhet’s ability to create exciting post-processing analysis tools and to open the door to improving ab initio methods themselves with these powerful machine learning techniques.« less

  10. Discovering charge density functionals and structure-property relationships with PROPhet: A general framework for coupling machine learning and first-principles methods

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Kolb, Brian; Lentz, Levi C.; Kolpak, Alexie M.

    Modern ab initio methods have rapidly increased our understanding of solid state materials properties, chemical reactions, and the quantum interactions between atoms. However, poor scaling often renders direct ab initio calculations intractable for large or complex systems. There are two obvious avenues through which to remedy this problem: (i) develop new, less expensive methods to calculate system properties, or (ii) make existing methods faster. This paper describes an open source framework designed to pursue both of these avenues. PROPhet (short for PROPerty Prophet) utilizes machine learning techniques to find complex, non-linear mappings between sets of material or system properties. Themore » result is a single code capable of learning analytical potentials, non-linear density functionals, and other structure-property or property-property relationships. These capabilities enable highly accurate mesoscopic simulations, facilitate computation of expensive properties, and enable the development of predictive models for systematic materials design and optimization. Here, this work explores the coupling of machine learning to ab initio methods through means both familiar (e.g., the creation of various potentials and energy functionals) and less familiar (e.g., the creation of density functionals for arbitrary properties), serving both to demonstrate PROPhet’s ability to create exciting post-processing analysis tools and to open the door to improving ab initio methods themselves with these powerful machine learning techniques.« less

  11. Does a University Teacher Need to Change e-Learning Beliefs and Practices When Using a Social Networking Site? A Longitudinal Case Study

    ERIC Educational Resources Information Center

    Scott, Karen M.

    2013-01-01

    While much of the e-learning development at universities in the past 15 years has been on institutionally supported Learning Management Systems (LMSs), alternative educational technologies are being taken up following the rapid growth in emerging technologies, including social networking sites (SNSs). While teachers may choose educational…

  12. Exploring International Investment through a Classroom Portfolio Simulation Project

    ERIC Educational Resources Information Center

    Chen, Xiaoying; Yur-Austin, Jasmine

    2013-01-01

    A rapid integration of financial markets has prevailed during the last three decades. Investors are able to diversify investment beyond national markets to mitigate return volatility of a "pure domestic portfolio." This article discusses a simulation project through which students learn the role of international investment by managing…

  13. Design and Performance Frameworks for Constructing Problem-Solving Simulations

    ERIC Educational Resources Information Center

    Stevens, Rons; Palacio-Cayetano, Joycelin

    2003-01-01

    Rapid advancements in hardware, software, and connectivity are helping to shorten the times needed to develop computer simulations for science education. These advancements, however, have not been accompanied by corresponding theories of how best to design and use these technologies for teaching, learning, and testing. Such design frameworks…

  14. Models to teach lung sonopathology and ultrasound-guided thoracentesis.

    PubMed

    Wojtczak, Jacek A

    2014-12-01

    Lung sonography allows rapid diagnosis of lung emergencies such as pulmonary edema, hemothorax or pneumothorax. The ability to timely diagnose an intraoperative pneumothorax is an important skill for the anesthesiologist. However, lung ultrasound exams require an interpretation of not only real images but also complex acoustic artifacts such as A-lines and B-lines. Therefore, appropriate training to gain proficiency is important. Simulated environment using ultrasound phantom models allows controlled, supervised learning. We have developed hybrid models that combine dry or wet polyurethane foams, porcine rib cages and human hand simulating a rib cage. These models simulate fairly accurately pulmonary sonopathology and allow supervised teaching of lung sonography with the immediate feedback. In-vitro models can also facilitate learning of procedural skills, improving transducer and needle positioning and movement, rapid recognition of thoracic anatomy and hand - eye coordination skills. We described a new model to teach an ultrasound guided thoracentesis. This model consists of the experimenter's hand placed on top of the water-filled container with a wet foam. Metacarpal bones of the human hand simulate a rib cage and a wet foam simulates a diseased lung immersed in the pleural fluid. Positive fluid flow offers users feedback when a simulated pleural effusion is accurately assessed.

  15. e-Learning in Advanced Life Support-What factors influence assessment outcome?

    PubMed

    Thorne, C J; Lockey, A S; Kimani, P K; Bullock, I; Hampshire, S; Begum-Ali, S; Perkins, G D

    2017-05-01

    To establish variables which are associated with favourable Advanced Life Support (ALS) course assessment outcomes, maximising learning effect. Between 1 January 2013 and 30 June 2014, 8218 individuals participated in a Resuscitation Council (UK) e-learning Advanced Life Support (e-ALS) course. Participants completed 5-8h of online e-learning prior to attending a one day face-to-face course. e-Learning access data were collected through the Learning Management System (LMS). All participants were assessed by a multiple choice questionnaire (MCQ) before and after the face-to-face aspect alongside a practical cardiac arrest simulation (CAS-Test). Participant demographics and assessment outcomes were analysed. The mean post e-learning MCQ score was 83.7 (SD 7.3) and the mean post-course MCQ score was 87.7 (SD 7.9). The first attempt CAS-Test pass rate was 84.6% and overall pass rate 96.6%. Participants with previous ALS experience, ILS experience, or who were a core member of the resuscitation team performed better in the post-course MCQ, CAS-Test and overall assessment. Median time spent on the e-learning was 5.2h (IQR 3.7-7.1). There was a large range in the degree of access to e-learning content. Increased time spent accessing e-learning had no effect on the overall result (OR 0.98, P=0.367) on simulated learning outcome. Clinical experience through membership of cardiac arrest teams and previous ILS or ALS training were independent predictors of performance on the ALS course whilst time spent accessing e-learning materials did not affect course outcomes. This supports the blended approach to e-ALS which allows participants to tailor their e-learning experience to their specific needs. Copyright © 2017 Elsevier B.V. All rights reserved.

  16. Effective e-learning in surgical education: the core values underpinning effective e-learning environments and how these may be enhanced for future surgical education

    PubMed Central

    Bamford, R; Coulston, J

    2016-01-01

    e-learning is a valuable tool that has a number of advantages for Surgical Oncology training and education. The rapidly evolving nature of, and limited clinical exposure to oncological practice creates challenges for surgical trainees to stay up to date and engaged. Online learning can be accessed anywhere at any time and allows trainees to develop, apply and be assessed on their learning. To be effective, it must be educationally sound and embrace technology to enhance learners’ experience. PMID:26913075

  17. Problem-Based Learning in Instrumentation: Synergism of Real and Virtual Modular Acquisition Chains

    ERIC Educational Resources Information Center

    Nonclercq, A.; Biest, A. V.; De Cuyper, K.; Leroy, E.; Martinez, D. L.; Robert, F.

    2010-01-01

    As part of an instrumentation course, a problem-based learning framework was selected for laboratory instruction. Two acquisition chains were designed to help students carry out realistic instrumentation problems. The first tool is a virtual (simulated) modular acquisition chain that allows rapid overall understanding of the main problems in…

  18. Inquiry Style Interactive Virtual Experiments: A Case on Circular Motion

    ERIC Educational Resources Information Center

    Zhou, Shaona; Han, Jing; Pelz, Nathaniel; Wang, Xiaojun; Peng, Liangyu; Xiao, Hua; Bao, Lei

    2011-01-01

    Interest in computer-based learning, especially in the use of virtual reality simulations is increasing rapidly. While there are good reasons to believe that technologies have the potential to improve teaching and learning, how to utilize the technology effectively in teaching specific content difficulties is challenging. To help students develop…

  19. An implementation science perspective on psychological science and cancer: what is known and opportunities for research, policy, and practice.

    PubMed

    Rabin, Borsika; Glasgow, Russell E

    2015-01-01

    We discuss the role of implementation science in cancer and summarize the need for this perspective. Following a summary of key implementation science principles and lessons learned, we review the literature on implementation of cancer prevention and control activities across the continuum from prevention to palliative care. We identified 10 unique relevant reviews, four of which were specific to cancer. Multicomponent implementation strategies were found to be superior to single-component interventions, but it was not possible to draw conclusions about specific strategies or the range of conditions across which strategies were effective. Particular gaps identified include the need for more studies of health policies and reports of cost, cost-effectiveness, and resources required. Following this review, we summarize the types of evidence needed to make research findings more actionable and discuss emerging implementation science opportunities for psychological research on cancer prevention and control. These include innovative study designs (i.e., rapid learning designs, simulation modeling, comparative effectiveness, pragmatic studies, mixed-methods research) and measurement science (i.e., development of context-relevant measures; practical, longitudinal measures to gauge improvement; cost-effectiveness data; and harmonized patient report data). We conclude by identifying a few grand challenges for psychologists that if successfully addressed would accelerate integration of evidence into cancer practice and policy more consistently and rapidly. PsycINFO Database Record (c) 2015 APA, all rights reserved.

  20. Training on N.O.T.E.S.: from history we learn.

    PubMed

    Al-Akash, M; Boyle, E; Tanner, W A

    2009-06-01

    Surgical errors occurring early in the learning curve of laparoscopic surgery providers delayed the uptake and progress of minimally invasive surgery (MIS) for years. This taught us a valuable lesson; innovations in surgical techniques should not be rapidly implemented until all aspects including applicability, feasibility and safety have been fully tested. In 2005, the Natural Orifice Surgery Consortium for Assessment and Research (NOSCAR) published a white paper highlighting the barriers to NOTES development and identifying key elements for its progress. One of these elements is the training of future providers. Proficiency-based, virtual reality simulation will offer a feasible alternative to animal testing once the safety and efficacy parameters of NOTES are established. Recent advances in imaging including computed tomography (CT) scanning, magnetic resonance imaging (MRI) scanning, and ultrasound (US) scanning can offer improved image registration and real-time tracking. Combining these advanced imaging technologies with the newly designed virtual reality simulators will result in a fully comprehensive simulation curriculum which will offer a unique facility for future NOTES providers to train anytime, anywhere, and as much as they need to in order to achieve the pre-set proficiency levels for a variety of NOTES procedures. Furthermore they will incorporate patient-specific anatomical models obtained from patient imaging and uploaded onto the simulator to ensure face reliability and validity assurance. Training in a clean, safe environment with proximate feedback and performance analysis will help accelerate the learning curve and therefore improve patients' safety and outcomes in order to maximize the benefits of innovative access procedures such as NOTES.

  1. Towards identifying nurse educator competencies required for simulation-based learning: A systemised rapid review and synthesis.

    PubMed

    Topping, Anne; Bøje, Rikke Buus; Rekola, Leena; Hartvigsen, Tina; Prescott, Stephen; Bland, Andrew; Hope, Angela; Haho, Paivi; Hannula, Leena

    2015-11-01

    This paper presents the results of a systemised rapid review and synthesis of the literature undertaken to identify competencies required by nurse educators to facilitate simulation-based learning (SBL). An international collaboration undertook a protocol-based search, retrieval and critical review. Web of Science, PubMed, CINAHL Plus, PsycInfo, ERIC, the Cochrane Library and Science Direct. The search was limited to articles published in English, 2002-2012. The search terms used: nurse*, learn*, facilitator, simula*, lecturer, competence, skill*, qualificat*, educator, health care, "patient simulation", "nursing education" and "faculty". The search yielded 2156 "hits", following a review of the abstracts, 72 full-text articles were extracted. These were screened against predetermined inclusion/exclusion criteria and nine articles were retained. Following critical appraisal, the articles were analyzed using an inductive approach to extract statements for categorization and synthesis as competency statements. This review confirmed that there was a modest amount of empirical evidence on which to base a competency framework. Those papers that provided descriptions of educator preparation identified simulation-based workshops, or experiential training, as the most common approaches for enhancing skills. SBL was not associated with any one theoretical perspective. Delivery of SBL appeared to demand competencies associated with planning and designing simulations, facilitating learning in "safe" environments, expert nursing knowledge based on credible clinical realism, reference to evidence-based knowledge and demonstration of professional values and identity. This review derived a preliminary competency framework. This needs further development as a model for educators delivering SBL as part of nursing curricula. Copyright © 2015. Published by Elsevier Ltd.

  2. E-Learning and Virtual Science Centers

    ERIC Educational Resources Information Center

    Hin, Leo Tan Wee, Ed.; Subramaniam, R., Ed.

    2005-01-01

    "E-Learning and Virtual Science Centers" addresses an aspect of Web-based education that has not attracted sufficient attention in the international research literature--that of virtual science centers, the cyberspace annex of traditional science centers. It is the first book to be published on the rapidly advancing field of science education.…

  3. Simulation-based medical education in pediatrics.

    PubMed

    Lopreiato, Joseph O; Sawyer, Taylor

    2015-01-01

    The use of simulation-based medical education (SBME) in pediatrics has grown rapidly over the past 2 decades and is expected to continue to grow. Similar to other instructional formats used in medical education, SBME is an instructional methodology that facilitates learning. Successful use of SBME in pediatrics requires attention to basic educational principles, including the incorporation of clear learning objectives. To facilitate learning during simulation the psychological safety of the participants must be ensured, and when done correctly, SBME is a powerful tool to enhance patient safety in pediatrics. Here we provide an overview of SBME in pediatrics and review key topics in the field. We first review the tools of the trade and examine various types of simulators used in pediatric SBME, including human patient simulators, task trainers, standardized patients, and virtual reality simulation. Then we explore several uses of simulation that have been shown to lead to effective learning, including curriculum integration, feedback and debriefing, deliberate practice, mastery learning, and range of difficulty and clinical variation. Examples of how these practices have been successfully used in pediatrics are provided. Finally, we discuss the future of pediatric SBME. As a community, pediatric simulation educators and researchers have been a leading force in the advancement of simulation in medicine. As the use of SBME in pediatrics expands, we hope this perspective will serve as a guide for those interested in improving the state of pediatric SBME. Published by Elsevier Inc.

  4. Use of a Simulation Game in Delivering Blended Lifelong Learning in the Construction Industry--Opportunities and Challenges

    ERIC Educational Resources Information Center

    Wall, John; Ahmed, Vian

    2008-01-01

    Continuing professional development (CPD) and life-long learning are vital to both individual and organisational success. For higher education, the intensive resource requirements requisite in the development of e-learning content and the challenges in accommodating different learning styles, developing an e-learning program can be a resource…

  5. Taking a fresh look at the skull base in otorhinolaryngology with web-based simulation: Student's Interactive Skull-Base Trainer (SISTer).

    PubMed

    von Sass, Peter Freiherr; Scheckenbach, Kathrin; Wagenmann, Martin; Klenzner, Thomas; Schipper, Joerg; Chaker, Adam

    2015-02-01

    The increasing amount of medical knowledge and necessity for time-effective teaching and learning have given rise to emerging online, or e-learning, applications. The base of the skull is a challenging anatomic area in the otorhinolaryngology (ORL) department-for both students and lecturers. Technology-enhanced learning might be an expedient approach to benefit both learners and lecturers. To investigate and create for advanced medical students a self-assessed adaptive e-learning application for the skull base within our curriculum of otolaryngology at the University Medical Center of Heinrich Heine University, Düsseldorf, Germany. Pilot approach with prospective evaluation of a newly implemented web-based e-learning simulation. The e-learning application (Student's Interactive Skull-Base Trainer) was made accessible as an elective course to a total of 269 enrolled medical students during the first 2 semesters after web launch. Spatiotemporal independent e-learning application for the skull base. Self-assessed evaluation with focus on general acceptance and personal value as well as usage data analysis. The application was well accepted by the learners. More than 80% of the participating students found the application to be a beneficial tool for enhancing their analytical and clinical problem-solving skills. Although the general matter of the skull base seemed to be of lesser interest, the concept of anchored instructions with the use of high-end, interactive, multimedia-based content was considered to be particularly suitable for this challenging topic. Most of the students would have appreciated an extension of optional e-learning modules. With this pilot approach we were able to implement a useful and now well-accepted tool for blended learning. We showed that it is possible to raise interest even in this very specialized subspecialty of ORL with overall individual learning benefit for the students. There is a demand for more e-learning and web-based simulation to support the existing curricula in a hybrid, blended way.

  6. Assessing the Effectiveness of a Computer Simulation for Teaching Ecological Experimental Design

    ERIC Educational Resources Information Center

    Stafford, Richard; Goodenough, Anne E.; Davies, Mark S.

    2010-01-01

    Designing manipulative ecological experiments is a complex and time-consuming process that is problematic to teach in traditional undergraduate classes. This study investigates the effectiveness of using a computer simulation--the Virtual Rocky Shore (VRS)--to facilitate rapid, student-centred learning of experimental design. We gave a series of…

  7. An Active Reading Intervention for the Electronic Career Development Course (eCDC) Program

    ERIC Educational Resources Information Center

    Isreal, Kenith R.

    2013-01-01

    Electronic books have rapidly moved through the entertainment community and are rapidly making their way into the academic environment. Public and private schools, libraries and training organizations use eBooks for research and instruction. This study sought to enhance the learning habits of students taking self-paced correspondence courses…

  8. Evolving fuzzy rules for relaxed-criteria negotiation.

    PubMed

    Sim, Kwang Mong

    2008-12-01

    In the literature on automated negotiation, very few negotiation agents are designed with the flexibility to slightly relax their negotiation criteria to reach a consensus more rapidly and with more certainty. Furthermore, these relaxed-criteria negotiation agents were not equipped with the ability to enhance their performance by learning and evolving their relaxed-criteria negotiation rules. The impetus of this work is designing market-driven negotiation agents (MDAs) that not only have the flexibility of relaxing bargaining criteria using fuzzy rules, but can also evolve their structures by learning new relaxed-criteria fuzzy rules to improve their negotiation outcomes as they participate in negotiations in more e-markets. To this end, an evolutionary algorithm for adapting and evolving relaxed-criteria fuzzy rules was developed. Implementing the idea in a testbed, two kinds of experiments for evaluating and comparing EvEMDAs (MDAs with relaxed-criteria rules that are evolved using the evolutionary algorithm) and EMDAs (MDAs with relaxed-criteria rules that are manually constructed) were carried out through stochastic simulations. Empirical results show that: 1) EvEMDAs generally outperformed EMDAs in different types of e-markets and 2) the negotiation outcomes of EvEMDAs generally improved as they negotiated in more e-markets.

  9. Computer-based simulation training to improve learning outcomes in mannequin-based simulation exercises.

    PubMed

    Curtin, Lindsay B; Finn, Laura A; Czosnowski, Quinn A; Whitman, Craig B; Cawley, Michael J

    2011-08-10

    To assess the impact of computer-based simulation on the achievement of student learning outcomes during mannequin-based simulation. Participants were randomly assigned to rapid response teams of 5-6 students and then teams were randomly assigned to either a group that completed either computer-based or mannequin-based simulation cases first. In both simulations, students used their critical thinking skills and selected interventions independent of facilitator input. A predetermined rubric was used to record and assess students' performance in the mannequin-based simulations. Feedback and student performance scores were generated by the software in the computer-based simulations. More of the teams in the group that completed the computer-based simulation before completing the mannequin-based simulation achieved the primary outcome for the exercise, which was survival of the simulated patient (41.2% vs. 5.6%). The majority of students (>90%) recommended the continuation of simulation exercises in the course. Students in both groups felt the computer-based simulation should be completed prior to the mannequin-based simulation. The use of computer-based simulation prior to mannequin-based simulation improved the achievement of learning goals and outcomes. In addition to improving participants' skills, completing the computer-based simulation first may improve participants' confidence during the more real-life setting achieved in the mannequin-based simulation.

  10. Lifelong Learning for Clinical Practice: How to Leverage Technology for Telebehavioral Health Care and Digital Continuing Medical Education.

    PubMed

    Hilty, Donald M; Turvey, Carolyn; Hwang, Tiffany

    2018-03-12

    Psychiatric practice continues to evolve and play an important role in patients' lives, the field of medicine, and health care delivery. Clinicians must learn a variety of clinical care systems and lifelong learning (LLL) is crucial to apply knowledge, develop skills, and adjust attitudes. Technology is rapidly becoming a key player-in delivery, lifelong learning, and education/training. The evidence base for telepsychiatry/telemental health via videoconferencing has been growing for three decades, but a greater array of technologies have emerged in the last decade (e.g., social media/networking, text, apps). Clinicians are combining telepsychiatry and these technologies frequently and they need to reflect on, learn more about, and develop skills for these technologies. The digital age has solidified the role of technology in continuing medical education and day-to-day practice. Other fields of medicine are also adapting to the digital age, as are graduate and undergraduate medical education and many allied mental health organizations. In the future, there will be more online training, simulation, and/or interactive electronic examinations, perhaps on a monthly cycle rather than a quasi-annual or 10-year cycle of recertification.

  11. University 2.0: A View from Singapore

    ERIC Educational Resources Information Center

    Tan, Daniel; Lee, Chye Seng; Chan, Lay Kock; Lu, Adrian Din How

    2009-01-01

    This article highlights the processes and best practices adopted by Nanyang Technological University (NTU) in Singapore in implementing their mission-critical e-learning services for a population of 28,000 students and 1,100 faculty members. The various phases of this rapid growth in e-learning from the initial genesis in achieving mass buy-in by…

  12. Distance Learning and Cloud Computing: "Just Another Buzzword or a Major E-Learning Breakthrough?"

    ERIC Educational Resources Information Center

    Romiszowski, Alexander J.

    2012-01-01

    "Cloud computing is a model for the enabling of ubiquitous, convenient, and on-demand network access to a shared pool of configurable computing resources (e.g., networks, servers, storage, applications, and other services) that can be rapidly provisioned and released with minimal management effort or service provider interaction." This…

  13. Bringing Academics on Board: Encouraging Institution-Wide Diffusion of e-Learning Environments

    ERIC Educational Resources Information Center

    Birch, Dawn; Burnett, Bruce

    2009-01-01

    Rapid advances in educational and information communications technology (ICT) have encouraged some educators to move beyond traditional face to face and distance education correspondence modes toward a rich, technology mediated e-learning environment. Ready access to multimedia at the desktop has provided the opportunity for educators to develop…

  14. Learning Strategies and Motivational Factors Predicting Information Literacy Self-Efficacy of E-Learners

    ERIC Educational Resources Information Center

    Kilic-Cakmak, Ebru

    2010-01-01

    Rapid increase in information sources in different formats, developments in technology and need for lifelong learning have drawn increased attention to needs for information literacy. Although information literacy is significant for students of all educational levels, it has become even more significant for e-learners. Therefore, this study…

  15. Instructional Design Issues Facing E-Learning: East Meets West.

    ERIC Educational Resources Information Center

    Tsai, Ping-Yeh; Rendon, Betty; Cornell, Richard

    The rapid emergence of e-learning in business and industry has been accompanied by a number of problems when instructional design concerns are incorporated into the overall curriculum development. This paper examines two companies in two distinct geographical extremes of Shin-Ju, Taiwan and Central Florida to see if, when comparisons are made,…

  16. E-Learning as a new tool in bioinformatics teaching

    PubMed Central

    Saravanan, Vijayakumar; Shanmughavel, Piramanayagam

    2007-01-01

    In recent years, virtual learning is growing rapidly. Universities, colleges, and secondary schools are now delivering training and education over the internet. Beside this, resources available over the WWW are huge and understanding the various techniques employed in the field of Bioinformatics is increasingly complex for students during implementation. Here, we discuss its importance in developing and delivering an educational system in Bioinformatics based on e-learning environment. PMID:18292800

  17. Learning Design Implementation for Distance e-Learning: Blending Rapid e-Learning Techniques with Activity-Based Pedagogies to Design and Implement a Socio-Constructivist Environment

    ERIC Educational Resources Information Center

    Santally, Mohammad Issack; Rajabalee, Yousra; Cooshna-Naik, Dorothy

    2012-01-01

    This paper discusses how modern technologies are changing the teacher-student-content relationships from the conception to the delivery of so-called "distance" education courses. The concept of Distance Education has greatly evolved in the digital era of 21st Century. With the widespread use and access to the Internet, exponential growth…

  18. Time Advice and Learning Questions in Computer Simulations

    ERIC Educational Resources Information Center

    Rey, Gunter Daniel

    2011-01-01

    Students (N = 101) used an introductory text and a computer simulation to learn fundamental concepts about statistical analyses (e.g., analysis of variance, regression analysis and General Linear Model). Each learner was randomly assigned to one cell of a 2 (with or without time advice) x 3 (with learning questions and corrective feedback, with…

  19. e-Learning initiatives to support prescribing

    PubMed Central

    Maxwell, Simon; Mucklow, John

    2012-01-01

    Preparing medical students to prescribe is a major challenge of undergraduate education. They must develop an understanding of clinical pharmacology and acquire knowledge about drugs and therapeutics, as well as the skills to prescribe for individual patients in the face of multiple variables. The task of delivering the learning required to achieve these attributes relies upon limited numbers of teachers, who have increasingly busy clinical commitments. There is evidence that training is currently insufficient to meet the demands of the workplace. e-Learning provides an opportunity to improve the learning experience. The advantages for teachers are improved distribution of learning content, ease of update, standardization and tracking of learner activities. The advantages for learners are ease of access, greater interactivity and individual choice concerning the pace and mix of learning. Important disadvantages are the considerable resource required to develop e-Learning projects and difficulties in simulating some aspects of the real world prescribing experience. Pre-requisites for developing an e-Learning programme to support prescribing include academic expertise, institutional support, learning technology services and an effective virtual learning environment. e-Learning content might range from complex interactive learning sessions through to static web pages with links. It is now possible to simulate and provide feedback on prescribing decisions and this will improve with advances in virtual reality. Other content might include a student formulary, self-assessment exercises (e.g. calculations), a glossary and an on-line library. There is some evidence for the effectiveness of e-Learning but better research is required into its potential impact on prescribing. PMID:22509885

  20. e-Learning initiatives to support prescribing.

    PubMed

    Maxwell, Simon; Mucklow, John

    2012-10-01

    Preparing medical students to prescribe is a major challenge of undergraduate education. They must develop an understanding of clinical pharmacology and acquire knowledge about drugs and therapeutics, as well as the skills to prescribe for individual patients in the face of multiple variables. The task of delivering the learning required to achieve these attributes relies upon limited numbers of teachers, who have increasingly busy clinical commitments. There is evidence that training is currently insufficient to meet the demands of the workplace. e-Learning provides an opportunity to improve the learning experience. The advantages for teachers are improved distribution of learning content, ease of update, standardization and tracking of learner activities. The advantages for learners are ease of access, greater interactivity and individual choice concerning the pace and mix of learning. Important disadvantages are the considerable resource required to develop e-Learning projects and difficulties in simulating some aspects of the real world prescribing experience. Pre-requisites for developing an e-Learning programme to support prescribing include academic expertise, institutional support, learning technology services and an effective virtual learning environment. e-Learning content might range from complex interactive learning sessions through to static web pages with links. It is now possible to simulate and provide feedback on prescribing decisions and this will improve with advances in virtual reality. Other content might include a student formulary, self-assessment exercises (e.g. calculations), a glossary and an on-line library. There is some evidence for the effectiveness of e-Learning but better research is required into its potential impact on prescribing. © 2012 The Authors. British Journal of Clinical Pharmacology © 2012 The British Pharmacological Society.

  1. The effect of pre-course e-learning prior to advanced life support training: a randomised controlled trial.

    PubMed

    Perkins, Gavin D; Fullerton, James N; Davis-Gomez, Nicole; Davies, Robin P; Baldock, Catherine; Stevens, Harry; Bullock, Ian; Lockey, Andrew S

    2010-07-01

    The role of e-learning in contemporary healthcare education is quickly developing. The aim of this study was to examine the relationship between the use of an e-learning simulation programme (Microsim, Laerdal, UK) prior to attending an Advanced Life Support (ALS) course and the subsequent relationship to candidate performance. An open label, multi-centre randomised controlled study was conducted. The control group received a course manual and pre-course MCQ four weeks prior to the face to face course. The intervention group in addition received the Microsim programme on a CD. The primary outcome was performance during a simulated cardiac arrest at the end of the course. Secondary outcomes were performance during multiple choice exams, resuscitation skills assessments and feedback to Microsim programme. 572 participants were randomised (287 Microsim, 285 control). There were no significant differences in the primary outcome (performance during a standard cardiac arrest simulation) or secondary outcomes. User evaluations were favorable. 79% would recommend it to colleagues. 9% stated Microsim could replace the entire ALS course, 25% parts. Over 70% of participants' perceived that Microsim improved their understanding of the key learning domains of the ALS course. Distributing Microsim to healthcare providers prior to attending an ALS courses did not improve either cognitive or psychomotor skills performance during cardiac arrest simulation testing. The challenge that lies ahead is to identify the optimal way to use e-learning as part of a blended approach to learning for this type of training programme.

  2. eLearning in the Cloud

    ERIC Educational Resources Information Center

    Sclater, Niall

    2010-01-01

    Elearning has grown rapidly in importance for institutions and has been largely facilitated through the "walled garden" of the virtual learning environment. Meanwhile many students are creating their own personal learning environments by combining the various Web 2.0 services they find most useful. Cloud computing offers new…

  3. A Hybrid Approach to Develop an Analytical Model for Enhancing the Service Quality of E-Learning

    ERIC Educational Resources Information Center

    Wu, Hung-Yi; Lin, Hsin-Yu

    2012-01-01

    The digital content industry is flourishing as a result of the rapid development of technology and the widespread use of computer networks. As has been reported, the market size of the global e-learning (i.e., distance education and telelearning) will reach USD 49.6 billion in 2014. However, to retain and/or increase the market share associated…

  4. Survey of Learning Experiences and Influence of Learning Style Preferences on User Intentions Regarding MOOCs

    ERIC Educational Resources Information Center

    Chang, Ray I.; Hung, Yu Hsin; Lin, Chun Fu

    2015-01-01

    With the rapid development of web techniques, information and communication technology is being increasingly used in curricula, and learning portfolios can be automatically retrieved and maintained as learners interact through e-learning platforms. Further, massive open online courses (MOOCs), which apply such technology to provide open access to…

  5. Multimedia Learning: Cognitive Individual Differences and Display Design Techniques Predict Transfer Learning with Multimedia Learning Modules

    ERIC Educational Resources Information Center

    Austin, Katherine A.

    2009-01-01

    In the wake of the information explosion and rapidly progressing technology [Mayer, R. E. (2001). "Multimedia learning". Cambridge: University Press] formulated a theory that focused on human cognition, rather than technology capacity and features. By measuring the effect of cognitive individual differences and display design manipulations on…

  6. A Framework for Identifying and Analyzing Major Issues in Implementing Big Data and Data Analytics in E-Learning: Introduction to Special Issue on Big Data and Data Analytics

    ERIC Educational Resources Information Center

    Corbeil, Maria Elena; Corbeil, Joseph Rene; Khan, Badrul H.

    2017-01-01

    Due to rapid advancements in our ability to collect, process, and analyze massive amounts of data, it is now possible for educational institutions to gain new insights into how people learn (Kumar, 2013). E-learning has become an important part of education, and this form of learning is especially suited to the use of big data and data analysis,…

  7. Online Stereo 3D Simulation in Studying the Spherical Pendulum in Conservative Force Field

    ERIC Educational Resources Information Center

    Zabunov, Svetoslav S.

    2013-01-01

    The current paper aims at presenting a modern e-learning method and tool that is utilized in teaching physics in the universities. An online stereo 3D simulation is used for e-learning mechanics and specifically the teaching of spherical pendulum as part of the General Physics course for students in the universities. This approach was realized on…

  8. The antecedents of e-learning outcome: an examination of system quality, technology readiness, and learning behavior.

    PubMed

    Ho, Li-An

    2009-01-01

    The rapid advancement of Internet and computer technology has not only influenced the way we live, but also the way we learn. Due to the implementation of e-learning in urban junior high schools in Taiwan, it has become essential to find out how external and internal factors affect junior high school students' online learning behavior, which consequently affects their learning outcome. The present study aims to propose a conceptual structural equation model to investigate the relationships among e-Learning system quality (eLSQ), technology readiness (TR), learning behavior (LB), and learning outcome (LO), and to demonstrate the direct and indirect effect of eLSQ and TR on LO from the perspectives of LB. Data collected from 10 urban junior high schools in Taiwan (N = 376) were analyzed using structural equation modeling. Results reveal that both eLSQ and TR have a direct and significant impact on LB. However, eLSQ and TR influence LO indirectly through LB. In addition, LB has a direct and positive significant influence on LO. Managerial implications are proposed and research limitations are discussed.

  9. Probabilities and Predictions: Modeling the Development of Scientific Problem-Solving Skills

    ERIC Educational Resources Information Center

    Stevens, Ron; Johnson, David F.; Soller, Amy

    2005-01-01

    The IMMEX (Interactive Multi-Media Exercises) Web-based problem set platform enables the online delivery of complex, multimedia simulations, the rapid collection of student performance data, and has already been used in several genetic simulations. The next step is the use of these data to understand and improve student learning in a formative…

  10. Preparation for Lifelong Learning Using ePortfolios

    ERIC Educational Resources Information Center

    Heinrich, E.; Bhattacharya, M.; Rayudu, R.

    2007-01-01

    Rapid technological change, increasing globalization and a changing world of employment with multiple roles during one's professional life are necessitating a change from knowledge to learning societies. Full participation requires lifelong learning skills, meaning the ability to solve problems, work both independently and in a team, communicate…

  11. Mobile Collector for Field Trips

    ERIC Educational Resources Information Center

    Kravcik, Milos; Kaibel, Andreas; Specht, Marcus; Terrenghi, Lucia

    2004-01-01

    Current e-Learning is based on learning management systems that provide certain standard services--course authoring and delivery, tutoring, administration and collaboration facilities. Rapid development of mobile technologies opens a new area of m-Learning to enhance the current educational opportunities. Field trips are a relevant part of the…

  12. Platform-Independent Authoring and Production of Rapid E-Learning Content

    ERIC Educational Resources Information Center

    Gutbrod, Martin; Werner, Christian; Fischer, Stefan

    2006-01-01

    One of today's major problems in the field of e-learning is that the creation of high-quality content is still rather time consuming and expensive. In the past, many efforts have been made to produce educational content on the fly, but the results were mainly static blocks of recorded lecture lacking sophisticated navigation facilities. Facing…

  13. Issues and Challenges in Open and Distance e-Learning: Perspectives from the Philippines

    ERIC Educational Resources Information Center

    Arinto, Patricia Brazil

    2016-01-01

    Rapid advances in information and communications technology in the digital age have brought about significant changes in the practice of distance education (DE) worldwide. DE practitioners in the Philippines' open university have coined the term "open and distance e-learning" (ODeL) to refer to the new forms of DE, which are…

  14. Learning to Question: The Roles of Multiple Hypotheses, Successive Approximations, Balloons and Toilet Paper in University Science Programs of Southwestern Amazonia

    ERIC Educational Resources Information Center

    Brown, I. Foster

    2008-01-01

    Learning to question is essential for determining pathways of conservation and development in southwestern Amazonia during a time of rapid global environmental change. Teaching such an approach in graduate science programs in regional universities can be done using play-acting and simulation exercises. Multiple working hypotheses help students…

  15. Development of a virtual lab for practical eLearning in eHealth.

    PubMed

    Herzog, Juliane; Forjan, Mathias; Sauermann, Stefan; Mense, Alexander; Urbauer, Philipp

    2015-01-01

    In recent years an ongoing development in educational offers for professionals working in the field of eHealth has been observed. This education is increasingly offered in the form of eLearning courses. Furthermore, it can be seen that simulations are a valuable part to support the knowledge transfer. Based on the knowledge profiles defined for eHealth courses a virtual lab should be developed. For this purpose, a subset of skills and a use case is determined. After searching and evaluating appropriate simulating and testing tools six tools were chosen to implement the use case practically. Within an UML use case diagram the interaction between the tools and the user is represented. Initially tests have shown good results of the tools' feasibility. After an extensive testing phase the tools should be integrated in the eHealth eLearning courses.

  16. Emotion Recognition and Communication for Reducing Second-Language Speaking Anxiety in a Web-Based One-to-One Synchronous Learning Environment

    ERIC Educational Resources Information Center

    Chen, Chih-Ming; Lee, Tai-Hung

    2011-01-01

    e-Learning is becoming an increasingly popular educational paradigm because of the rapid growth of the Internet. Recent studies have argued that affective modelling (ie, considering a learner's emotional or motivational state) should also be considered while designing learning activities. Many studies indicated that various learning emotions…

  17. Students' Framing of Language Learning Practices in Social Networking Sites

    ERIC Educational Resources Information Center

    Lantz-Andersson, Annika; Vigmo, Sylvi; Bowen, Rhonwen

    2012-01-01

    The amount of time that people, especially young people, spend on communicative activities in social media is rapidly increasing. We are facing new arenas with great potential for learning in general and for language learning in particular, but their impact on learning is not yet acknowledged as such in educational practice (e.g., Conole, 2010;…

  18. How the Young Generation Uses Digital Textbooks via Mobile Learning Terminals: Measurement of Elementary School Students in China

    ERIC Educational Resources Information Center

    Sun, Zhong; Jiang, Yuzhen

    2015-01-01

    Digital textbooks that offer multimedia features, interactive controls, e-annotation and learning process tracking are gaining increasing attention in today's mobile learning era, particularly with the rapid development of mobile learning terminals such as Apple's iPad series and Android-based models. Accordingly, this study explores how…

  19. Diagnostic Performance 1 H after Simulation Training Predicts Learning

    ERIC Educational Resources Information Center

    Consoli, Anna; Fraser, Kristin; Ma, Irene; Sobczak, Matthew; Wright, Bruce; McLaughlin, Kevin

    2013-01-01

    Although simulation training improves post-training performance, it is unclear how well performance soon after simulation training predicts longer term outcomes (i.e., learning). Here our objective was to assess the predictive value of performance 1 h post-training of performance 6 weeks later. We trained 84 first year medical students a simulated…

  20. Exploring Students Acceptance of E-Learning Using Technology Acceptance Model in Jordanian Universities

    ERIC Educational Resources Information Center

    Al-Adwan, Amer; Al-Adwan, Ahmad; Smedley, Jo

    2013-01-01

    Today's rapid changing world highlights the influence and impact of technology in all aspects of learning life. Higher Education institutions in developed Western countries believe that these developments offer rich opportunities to embed technological innovations within the learning environment. This places developing countries, striving to be…

  1. Net-Based Training for Physicians

    ERIC Educational Resources Information Center

    Jokela, Paivi; Karlsudd, Peter

    2009-01-01

    In order to ensure and increase access to high-quality learning opportunities it is becoming more and more common to integrate e-learning into health-related environments. The rapid development of these new learning environments also requires continuous monitoring and evaluation, to guarantee the quality of the health-care education. In this…

  2. 55 'Mini Sim' - innovative bite sized simulation teaching in a busy children's emergency department.

    PubMed

    Sunley, Rachel; Moloney, Karen; Parker, Jessica; Arrowsmith, Christopher; Brown, Kirsty; Wilson, Alex

    2017-12-01

    : Emergency Medicine requires a highly skilled workforce who are passionate about delivering excellent patient care. Shift patterns linked with the ever increasing numbers of patients who attend Emergency Departments puts strain on educating the workforce and fostering team togetherness.Our objective in devising and instigating the 'Mini Sim' programme was to embed regular in-situ simulation training to enhance the learning of all staff within our Emergency Department team, building a highly trained workforce to deliver excellent care within the remit of our busy department. The whole team is involved including junior nurses, senior nurses and all tiers of junior doctors including foundation, general practice and senior ED trainees (including Grid).'Mini Sim' takes place on a weekly basis, every Tuesday morning from 0930-1000. This timing is to ensure maximum participation from all staff. The setup is a fifteen minute simulation (one nurse, one junior doctor, one senior doctor) followed by fifteen minutes of debrief. The format includes an assessment of the participants confidence prior to 'Mini Sim' in the subject being practiced. This is rated on a numerical scale from 1 (being not confident at all) to 5 (being completely confident). The topics chosen are based on feedback from trainees and nurses on clinical skills they feel under confident in, (e.g., pelvic binder application, rapid sequence induction, sickle cell crisis), clinical incidents which have occurred around the Trust (e.g., seizures and access to benzodiazepines), National Patient Safety Alerts (e.g., phenytoin toxicity), protocols (e.g., abducted child, rapid tranquilisation for the acutely disturbed adolescent) , governance issues (e.g., blocked tracheostomy, resuscitation room rebuild) and competencies linked to RCEM objectives. The 'Mini Sim' then takes place in situ within the ED resus, ED main department or our short stay observation ward which is under the auspices of the Children's Emergency Department using real equipment and drugs. After the simulation a debrief is held and any additional teaching is carried out to embed learning. Each medical participant is then offered the opportunity to complete a work place based assessment on the 'Mini Sim' for their e-portfolio.emermed;34/12/A899-a/F1F1F1Figure 1Evaluation of impact of 'mini sim'The work flow of the department has been unaffected and we have received excellent written feedback from participants about the educational quality of the programme which has also shown improvements in staff confidence in dealing with a variety of emergency situations. We would suggest this model could be used in other departments for similar gain.emermed;34/12/A899-a/F2F2F2Figure 2. © 2017, Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.

  3. [Virtual reality simulation training in gynecology: review and perspectives].

    PubMed

    Ricard-Gauthier, Dominique; Popescu, Silvia; Benmohamed, Naida; Petignat, Patrick; Dubuisson, Jean

    2016-10-26

    Laparoscopic simulation has rapidly become an important tool for learning and acquiring technical skills in surgery. It is based on two different complementary pedagogic tools : the box model trainer and the virtual reality simulator. The virtual reality simulator has shown its efficiency by improving surgical skills, decreasing operating time, improving economy of movements and improving self-confidence. The main objective of this tool is the opportunity to easily organize a regular, structured and uniformed training program enabling an automated individualized feedback.

  4. Implications of Implementing Web 2.0 on Education

    ERIC Educational Resources Information Center

    Valerio, Gabriel; Valenzuela, Ricardo

    2013-01-01

    The Knowledge Society has altered the way humanity works, learns and amuses itself; from here the rise of the so called e-learning, an educational modality whose "innovation" has been questioned because of the tendency to simulate traditional ways to educate. This paper explores the concept of e-learning 2.0, the implications of…

  5. Simulation-based instruction of technical skills

    NASA Technical Reports Server (NTRS)

    Towne, Douglas M.; Munro, Allen

    1991-01-01

    A rapid intelligent tutoring development system (RAPIDS) was developed to facilitate the production of interactive, real-time graphical device models for use in instructing the operation and maintenance of complex systems. The tools allowed subject matter experts to produce device models by creating instances of previously defined objects and positioning them in the emerging device model. These simulation authoring functions, as well as those associated with demonstrating procedures and functional effects on the completed model, required no previous programming experience or use of frame-based instructional languages. Three large simulations were developed in RAPIDS, each involving more than a dozen screen-sized sections. Seven small, single-view applications were developed to explore the range of applicability. Three workshops were conducted to train others in the use of the authoring tools. Participants learned to employ the authoring tools in three to four days and were able to produce small working device models on the fifth day.

  6. The Rise of E-learning and Opportunities for Indian Family Physicians.

    PubMed

    Datta, Chayan

    2012-01-01

    The IT (information technology) revolution is sweeping across the globe. Distance, location and costs have become irrelevant. With availability of newer communication tools, medical education and practice are bound to be transformed. Rapid advancement of science requires medical professionals to update their knowledge constantly. Online interface for CME (Continued Medical Education) presents an exciting opportunity as an E learning tool.

  7. Internet and Independent E-Learning of School Age Children in Thailand (One Study)

    ERIC Educational Resources Information Center

    Quigley, Donna

    2011-01-01

    Schools generally have been unable to keep up with the rapid technical changes in modern society. As a result, primary school age children worldwide are becoming self-taught independent e-learners and the gap between what they know and are able to do exceeds the learning outcomes for their schools' ICT (information communication technology)…

  8. An e-learning application on electrochemotherapy

    PubMed Central

    Corovic, Selma; Bester, Janez; Miklavcic, Damijan

    2009-01-01

    Background Electrochemotherapy is an effective approach in local tumour treatment employing locally applied high-voltage electric pulses in combination with chemotherapeutic drugs. In planning and performing electrochemotherapy a multidisciplinary expertise is required and collaboration, knowledge and experience exchange among the experts from different scientific fields such as medicine, biology and biomedical engineering is needed. The objective of this study was to develop an e-learning application in order to provide the educational content on electrochemotherapy and its underlying principles and to support collaboration, knowledge and experience exchange among the experts involved in the research and clinics. Methods The educational content on electrochemotherapy and cell and tissue electroporation was based on previously published studies from molecular dynamics, lipid bilayers, single cell level and simplified tissue models to complex biological tissues and research and clinical results of electrochemotherapy treatment. We used computer graphics such as model-based visualization (i.e. 3D numerical modelling using finite element method) and 3D computer animations and graphical illustrations to facilitate the representation of complex biological and physical aspects in electrochemotherapy. The e-learning application is integrated into an interactive e-learning environment developed at our institution, enabling collaboration and knowledge exchange among the users. We evaluated the designed e-learning application at the International Scientific workshop and postgraduate course (Electroporation Based Technologies and Treatments). The evaluation was carried out by testing the pedagogical efficiency of the presented educational content and by performing the usability study of the application. Results The e-learning content presents three different levels of knowledge on cell and tissue electroporation. In the first part of the e-learning application we explain basic principles of electroporation process. The second part provides educational content about importance of modelling and visualization of local electric field in electroporation-based treatments. In the third part we developed an interactive module for visualization of local electric field distribution in 3D tissue models of cutaneous tumors for different parameters such as voltage applied, distance between electrodes, electrode dimension and shape, tissue geometry and electric conductivity. The pedagogical efficiency assessment showed that the participants improved their level of knowledge. The results of usability evaluation revealed that participants found the application simple to learn, use and navigate. The participants also found the information provided by the application easy to understand. Conclusion The e-learning application we present in this article provides educational material on electrochemotherapy and its underlying principles such as cell and tissue electroporation. The e-learning application is developed to provide an interactive educational content in order to simulate the "hands-on" learning approach about the parameters being important for successful therapy. The e-learning application together with the interactive e-learning environment is available to the users to provide collaborative and flexible learning in order to facilitate knowledge exchange among the experts from different scientific fields that are involved in electrochemotherapy. The modular structure of the application allows for upgrade with new educational content collected from the clinics and research, and can be easily adapted to serve as a collaborative e-learning tool also in other electroporation-based treatments such as gene electrotransfer, gene vaccination, irreversible tissue ablation and transdermal gene and drug delivery. The presented e-learning application provides an easy and rapid approach for information, knowledge and experience exchange among the experts from different scientific fields, which can facilitate development and optimisation of electroporation-based treatments. PMID:19843322

  9. An e-learning application on electrochemotherapy.

    PubMed

    Corovic, Selma; Bester, Janez; Miklavcic, Damijan

    2009-10-20

    Electrochemotherapy is an effective approach in local tumour treatment employing locally applied high-voltage electric pulses in combination with chemotherapeutic drugs. In planning and performing electrochemotherapy a multidisciplinary expertise is required and collaboration, knowledge and experience exchange among the experts from different scientific fields such as medicine, biology and biomedical engineering is needed. The objective of this study was to develop an e-learning application in order to provide the educational content on electrochemotherapy and its underlying principles and to support collaboration, knowledge and experience exchange among the experts involved in the research and clinics. The educational content on electrochemotherapy and cell and tissue electroporation was based on previously published studies from molecular dynamics, lipid bilayers, single cell level and simplified tissue models to complex biological tissues and research and clinical results of electrochemotherapy treatment. We used computer graphics such as model-based visualization (i.e. 3D numerical modelling using finite element method) and 3D computer animations and graphical illustrations to facilitate the representation of complex biological and physical aspects in electrochemotherapy. The e-learning application is integrated into an interactive e-learning environment developed at our institution, enabling collaboration and knowledge exchange among the users. We evaluated the designed e-learning application at the International Scientific workshop and postgraduate course (Electroporation Based Technologies and Treatments). The evaluation was carried out by testing the pedagogical efficiency of the presented educational content and by performing the usability study of the application. The e-learning content presents three different levels of knowledge on cell and tissue electroporation. In the first part of the e-learning application we explain basic principles of electroporation process. The second part provides educational content about importance of modelling and visualization of local electric field in electroporation-based treatments. In the third part we developed an interactive module for visualization of local electric field distribution in 3D tissue models of cutaneous tumors for different parameters such as voltage applied, distance between electrodes, electrode dimension and shape, tissue geometry and electric conductivity. The pedagogical efficiency assessment showed that the participants improved their level of knowledge. The results of usability evaluation revealed that participants found the application simple to learn, use and navigate. The participants also found the information provided by the application easy to understand. The e-learning application we present in this article provides educational material on electrochemotherapy and its underlying principles such as cell and tissue electroporation. The e-learning application is developed to provide an interactive educational content in order to simulate the "hands-on" learning approach about the parameters being important for successful therapy. The e-learning application together with the interactive e-learning environment is available to the users to provide collaborative and flexible learning in order to facilitate knowledge exchange among the experts from different scientific fields that are involved in electrochemotherapy. The modular structure of the application allows for upgrade with new educational content collected from the clinics and research, and can be easily adapted to serve as a collaborative e-learning tool also in other electroporation-based treatments such as gene electrotransfer, gene vaccination, irreversible tissue ablation and transdermal gene and drug delivery. The presented e-learning application provides an easy and rapid approach for information, knowledge and experience exchange among the experts from different scientific fields, which can facilitate development and optimisation of electroporation-based treatments.

  10. Employing a Critical Lens on Instructor Perceptions of Learning Games: Introduction to a Method

    ERIC Educational Resources Information Center

    Warren, Scott J.; Gratch, Jonathan S.

    2013-01-01

    Digital games like Where in the World is Carmen San Diego and Oregon Trail have been used to support learning since the 1980s. However, the last decade has seen games, simulations and virtual world use take firm hold of the academic imagination. There also has been a rapid expansion of sponsored, formal research, informal inquiry, and a growing…

  11. Lecture Recording: Structural and Symbolic Information vs. Flexibility of Presentation

    ERIC Educational Resources Information Center

    Stolzenberg, Daniel; Pforte, Stefan

    2007-01-01

    Rapid eLearning is an ongoing trend which enables flexible and cost-effective creation of learning materials. Especially, lecture recording has turned out to be a lightweight method particularly suited for existing lectures and blended learning strategies. In order to not only sequentially play back but offer full fledged navigation, search and…

  12. Advancing Higher Education with Mobile Learning Technologies: Cases, Trends, and Inquiry-Based Methods

    ERIC Educational Resources Information Center

    Keengwe, Jared, Ed.; Maxfield, Marian B., Ed.

    2015-01-01

    Rapid advancements in technology are creating new opportunities for educators to enhance their classroom techniques with digital learning resources. Once used solely outside of the classroom, smartphones, tablets, and e-readers are becoming common in many school settings. "Advancing Higher Education with Mobile Learning Technologies: Cases,…

  13. Fast mapping rapidly integrates information into existing memory networks.

    PubMed

    Coutanche, Marc N; Thompson-Schill, Sharon L

    2014-12-01

    Successful learning involves integrating new material into existing memory networks. A learning procedure known as fast mapping (FM), thought to simulate the word-learning environment of children, has recently been linked to distinct neuroanatomical substrates in adults. This idea has suggested the (never-before tested) hypothesis that FM may promote rapid incorporation into cortical memory networks. We test this hypothesis here in 2 experiments. In our 1st experiment, we introduced 50 participants to 16 unfamiliar animals and names through FM or explicit encoding (EE) and tested participants on the training day, and again after sleep. Learning through EE produced strong declarative memories, without immediate lexical competition, as expected from slow-consolidation models. Learning through FM, however, led to almost immediate lexical competition, which continued to the next day. Additionally, the learned words began to prime related concepts on the day following FM (but not EE) training. In a 2nd experiment, we replicated the lexical integration results and determined that presenting an already-known item during learning was crucial for rapid integration through FM. The findings presented here indicate that learned items can be integrated into cortical memory networks at an accelerated rate through fast mapping. The retrieval of a related known concept, in order to infer the target of the FM question, is critical for this effect. PsycINFO Database Record (c) 2014 APA, all rights reserved.

  14. Simulation in shoulder surgery.

    PubMed

    Colaço, Henry B; Tennent, Duncan

    2016-10-01

    Simulation is a rapidly developing field in medical education. There is a growing need for trainee surgeons to acquire surgical skills in a cost-effective learning environment to improve patient safety and compensate for a reduction in training time and operative experience. Although simulation is not a replacement for traditional models of surgical training, and robust assessment metrics need to be validated before widespread use for accreditation, it is a useful adjunct that may ultimately lead to improving surgical outcomes for our patients.

  15. A trial of e-simulation of sudden patient deterioration (FIRST2ACT WEB) on student learning.

    PubMed

    Bogossian, Fiona E; Cooper, Simon J; Cant, Robyn; Porter, Joanne; Forbes, Helen

    2015-10-01

    High-fidelity simulation pedagogy is of increasing importance in health professional education; however, face-to-face simulation programs are resource intensive and impractical to implement across large numbers of students. To investigate undergraduate nursing students' theoretical and applied learning in response to the e-simulation program-FIRST2ACT WEBTM, and explore predictors of virtual clinical performance. Multi-center trial of FIRST2ACT WEBTM accessible to students in five Australian universities and colleges, across 8 campuses. A population of 489 final-year nursing students in programs of study leading to license to practice. Participants proceeded through three phases: (i) pre-simulation-briefing and assessment of clinical knowledge and experience; (ii) e-simulation-three interactive e-simulation clinical scenarios which included video recordings of patients with deteriorating conditions, interactive clinical tasks, pop up responses to tasks, and timed performance; and (iii) post-simulation feedback and evaluation. Descriptive statistics were followed by bivariate analysis to detect any associations, which were further tested using standard regression analysis. Of 409 students who commenced the program (83% response rate), 367 undergraduate nursing students completed the web-based program in its entirety, yielding a completion rate of 89.7%; 38.1% of students achieved passing clinical performance across three scenarios, and the proportion achieving passing clinical knowledge increased from 78.15% pre-simulation to 91.6% post-simulation. Knowledge was the main independent predictor of clinical performance in responding to a virtual deteriorating patient R(2)=0.090, F(7, 352)=4.962, p<0.001. The use of web-based technology allows simulation activities to be accessible to a large number of participants and completion rates indicate that 'Net Generation' nursing students were highly engaged with this mode of learning. The web-based e-simulation program FIRST2ACTTM effectively enhanced knowledge, virtual clinical performance, and self-assessed knowledge, skills, confidence, and competence in final-year nursing students. Copyright © 2015 Elsevier Ltd. All rights reserved.

  16. The implementation of e-learning tools to enhance undergraduate bioinformatics teaching and learning: a case study in the National University of Singapore

    PubMed Central

    2009-01-01

    Background The rapid advancement of computer and information technology in recent years has resulted in the rise of e-learning technologies to enhance and complement traditional classroom teaching in many fields, including bioinformatics. This paper records the experience of implementing e-learning technology to support problem-based learning (PBL) in the teaching of two undergraduate bioinformatics classes in the National University of Singapore. Results Survey results further established the efficiency and suitability of e-learning tools to supplement PBL in bioinformatics education. 63.16% of year three bioinformatics students showed a positive response regarding the usefulness of the Learning Activity Management System (LAMS) e-learning tool in guiding the learning and discussion process involved in PBL and in enhancing the learning experience by breaking down PBL activities into a sequential workflow. On the other hand, 89.81% of year two bioinformatics students indicated that their revision process was positively impacted with the use of LAMS for guiding the learning process, while 60.19% agreed that the breakdown of activities into a sequential step-by-step workflow by LAMS enhances the learning experience Conclusion We show that e-learning tools are useful for supplementing PBL in bioinformatics education. The results suggest that it is feasible to develop and adopt e-learning tools to supplement a variety of instructional strategies in the future. PMID:19958511

  17. Bedside ultrasound training using web-based e-learning and simulation early in the curriculum of residents.

    PubMed

    Beaulieu, Yanick; Laprise, Réjean; Drolet, Pierre; Thivierge, Robert L; Serri, Karim; Albert, Martin; Lamontagne, Alain; Bélliveau, Marc; Denault, André-Yves; Patenaude, Jean-Victor

    2015-01-01

    Focused bedside ultrasound is rapidly becoming a standard of care to decrease the risks of complications related to invasive procedures. The purpose of this study was to assess whether adding to the curriculum of junior residents an educational intervention combining web-based e-learning and hands-on training would improve the residents' proficiency in different clinical applications of bedside ultrasound as compared to using the traditional apprenticeship teaching method alone. Junior residents (n = 39) were provided with two educational interventions (vascular and pleural ultrasound). Each intervention consisted of a combination of web-based e-learning and bedside hands-on training. Senior residents (n = 15) were the traditionally trained group and were not provided with the educational interventions. After the educational intervention, performance of the junior residents on the practical tests was superior to that of the senior residents. This was true for the vascular assessment (94% ± 5% vs. 68% ± 15%, unpaired student t test: p < 0.0001, mean difference: 26 (95% CI: 20 to 31)) and even more significant for the pleural assessment (92% ± 9% vs. 57% ± 25%, unpaired student t test: p < 0.0001, mean difference: 35 (95% CI: 23 to 44)). The junior residents also had a significantly higher success rate in performing ultrasound-guided needle insertion compared to the senior residents for both the transverse (95% vs. 60%, Fisher's exact test p = 0.0048) and longitudinal views (100% vs. 73%, Fisher's exact test p = 0.0055). Our study demonstrated that a structured curriculum combining web-based education, hands-on training, and simulation integrated early in the training of the junior residents can lead to better proficiency in performing ultrasound-guided techniques compared to the traditional apprenticeship model.

  18. Gamification and Multimedia for Medical Education: A Landscape Review.

    PubMed

    McCoy, Lise; Lewis, Joy H; Dalton, David

    2016-01-01

    Medical education is rapidly evolving. Students enter medical school with a high level of technological literacy and an expectation for instructional variety in the curriculum. In response, many medical schools now incorporate technology-enhanced active learning and multimedia education applications. Education games, medical mobile applications, and virtual patient simulations are together termed gamified training platforms. To review available literature for the benefits of using gamified training platforms for medical education (both preclinical and clinical) and training. Also, to identify platforms suitable for these purposes with links to multimedia content. Peer-reviewed literature, commercially published media, and grey literature were searched to compile an archive of recently published scientific evaluations of gamified training platforms for medical education. Specific educational games, mobile applications, and virtual simulations useful for preclinical and clinical training were identified and categorized. Available evidence was summarized as it related to potential educational advantages of the identified platforms for medical education. Overall, improved learning outcomes have been demonstrated with virtual patient simulations. Games have the potential to promote learning, increase engagement, allow for real-word application, and enhance collaboration. They can also provide opportunities for risk-free clinical decision making, distance training, learning analytics, and swift feedback. A total of 5 electronic games and 4 mobile applications were identified for preclinical training, and 5 electronic games, 10 mobile applications, and 12 virtual patient simulation tools were identified for clinical training. Nine additional gamified, virtual environment training tools not commercially available were also identified. Many published studies suggest possible benefits from using gamified media in medical curriculum. This is a rapidly growing field. More research is required to rigorously evaluate the specific educational benefits of these interventions. This archive of hyperlinked tools can be used as a resource for all levels of medical trainees, providers, and educators.

  19. E-simulation: preregistration nursing students' evaluation of an online patient deterioration program.

    PubMed

    Cant, Robyn; Young, Susan; Cooper, Simon J; Porter, Joanne

    2015-03-01

    This study explores preregistration nursing students' views of a Web-based simulation program: FIRST ACTWeb (Feedback Incorporating Review and Simulation Techniques to Act on Clinical Trends-Web). The multimedia program incorporating three videoed scenarios portrayed by a standardized patient (human actor) aims to improve students' recognition and management of hospital patient deterioration. Participants were 367 final-year nursing students from three universities who completed an online evaluation survey and 19 students from two universities who attended one of five focus groups. Two researchers conducted a thematic analysis of the transcribed narratives. Three core themes identified were as follows: "ease of program use," "experience of e-Simulation," and "satisfaction with the learning experience." The Web-based clinical learning environment was endorsed as functional, feasible, and easy to use and was reported to have high fidelity and realism. Feedback in both focus groups and surveys showed high satisfaction with the learning experience. Overall, evaluation suggested that the Web-based simulation program successfully integrated elements essential for blended learning. Although Web-based educational applications are resource intensive to develop, positive appraisal of program quality, plus program accessibility and repeatability, appears to provide important educational benefits. Further research is needed to determine the transferability of these learning experiences into real-world practice.

  20. Effect of 5E Learning Model on Academic Achievement, Attitude and Science Process Skills: Meta-Analysis Study

    ERIC Educational Resources Information Center

    Cakir, Nevin Kozcu

    2017-01-01

    Today, with the development of science and technology and its rapid progress, the importance attached to science education has increased. This increase in interest has led to the development of the methods, techniques, and approaches that enable the students to be active, question and construct knowledge. The 5E learning model is one of them, and…

  1. Reinforcement Learning in a Nonstationary Environment: The El Farol Problem

    NASA Technical Reports Server (NTRS)

    Bell, Ann Maria

    1999-01-01

    This paper examines the performance of simple learning rules in a complex adaptive system based on a coordination problem modeled on the El Farol problem. The key features of the El Farol problem are that it typically involves a medium number of agents and that agents' pay-off functions have a discontinuous response to increased congestion. First we consider a single adaptive agent facing a stationary environment. We demonstrate that the simple learning rules proposed by Roth and Er'ev can be extremely sensitive to small changes in the initial conditions and that events early in a simulation can affect the performance of the rule over a relatively long time horizon. In contrast, a reinforcement learning rule based on standard practice in the computer science literature converges rapidly and robustly. The situation is reversed when multiple adaptive agents interact: the RE algorithms often converge rapidly to a stable average aggregate attendance despite the slow and erratic behavior of individual learners, while the CS based learners frequently over-attend in the early and intermediate terms. The symmetric mixed strategy equilibria is unstable: all three learning rules ultimately tend towards pure strategies or stabilize in the medium term at non-equilibrium probabilities of attendance. The brittleness of the algorithms in different contexts emphasize the importance of thorough and thoughtful examination of simulation-based results.

  2. The effectiveness of virtual simulation in improving student nurses' knowledge and performance during patient deterioration: A pre and post test design.

    PubMed

    Borg Sapiano, Alexis; Sammut, Roberta; Trapani, Josef

    2018-03-01

    Preparing nursing students to perform competently in complex emergency situations, such as during rapid patient deterioration, is challenging. Students' active engagement in such scenarios cannot be ensured, due to the unexpected nature of such infrequent events. Many students may consequently not experience and integrate the management of patient deterioration into their knowledge and practical competency by the end of their studies, making them unprepared to manage such situations as practicing nurses. This study investigated the effectiveness of virtual simulation in improving performance during rapid patient deterioration. To investigate the effectiveness of virtual simulation in improving student nurses' knowledge and performance during rapid patient deterioration. A pre- and post-test design was used. Nursing students at a university in Malta were invited to participate in a virtual simulation program named FIRST 2 ACTWeb™, using their own computer devices. A total of 166 (response rate=50%) second and third year diploma and degree nursing students participated in the study. The simulation included three scenarios (Cardiac-Shock-Respiratory) portraying deteriorating patients. Performance feedback was provided at the end of each scenario. Students completed pre- and post-scenario knowledge tests and performance during each scenario was recorded automatically on a database. Findings showed a significant improvement in the students' post-scenario knowledge (z=-6.506, p<0.001). Highest mean performance scores were obtained in the last scenario (M=19.7, median: 20.0, s.d. 3.41) indicating a learning effect. Knowledge was not a predictor of students' performance in the scenarios. This study supports virtual simulation as an effective learning tool for pre-registration nursing students in different programs. Simulation improves both knowledge about and performance during patient deterioration. Virtual simulation of rare events should be a key component of undergraduate nurse education, to prepare students to manage complex situations as practicing nurses. Copyright © 2018 Elsevier Ltd. All rights reserved.

  3. Hybrid Multiagent System for Automatic Object Learning Classification

    NASA Astrophysics Data System (ADS)

    Gil, Ana; de La Prieta, Fernando; López, Vivian F.

    The rapid evolution within the context of e-learning is closely linked to international efforts on the standardization of learning object metadata, which provides learners in a web-based educational system with ubiquitous access to multiple distributed repositories. This article presents a hybrid agent-based architecture that enables the recovery of learning objects tagged in Learning Object Metadata (LOM) and provides individualized help with selecting learning materials to make the most suitable choice among many alternatives.

  4. Applying an Experiential Learning Model to the Teaching of Gateway Strategy Board Games

    ERIC Educational Resources Information Center

    Sato, Aiko; de Haan, Jonathan

    2016-01-01

    The board game hobby has rapidly grown and evolved in recent years, but most of the non-digital games lack tips and tutorials and remain difficult to learn and teach effectively. In this project, we integrated a popular hobbyist approach to teaching modern strategy games with classical experiential learning elements (i.e., demonstration,…

  5. Computer-assisted learning in medicine. How to create a novel software for immunology.

    PubMed

    Colsman, Andreas; Sticherling, Michael; Stöpel, Claus; Emmrich, Frank

    2006-06-01

    Teaching medical issues is increasingly demanding due to the permanent progress in medical sciences. Simultaneously, software applications are rapidly advancing with regard to their availability and easy use. Here a novel teaching program is presented for immunology, which is one of the fastest expanding topics in medical sciences. The requirements of media didactics were transferred to this e-learning tool for German students. After implementation, medical students evaluated the software and the different learning approaches showed acceptance. Altogether this novel software compares favourably to other English e-learning tools available in the Internet.

  6. Determining the Number of Participants Needed for the Usability Evaluation of E-Learning Resources: A Monte Carlo Simulation

    ERIC Educational Resources Information Center

    Davids, Mogamat Razeen; Harvey, Justin; Halperin, Mitchell L.; Chikte, Usuf M. E.

    2015-01-01

    The usability of computer interfaces has a major influence on learning. Optimising the usability of e-learning resources is therefore essential. However, this may be neglected because of time and monetary constraints. User testing is a common approach to usability evaluation and involves studying typical end-users interacting with the application…

  7. Multiple-Shrinkage Multinomial Probit Models with Applications to Simulating Geographies in Public Use Data.

    PubMed

    Burgette, Lane F; Reiter, Jerome P

    2013-06-01

    Multinomial outcomes with many levels can be challenging to model. Information typically accrues slowly with increasing sample size, yet the parameter space expands rapidly with additional covariates. Shrinking all regression parameters towards zero, as often done in models of continuous or binary response variables, is unsatisfactory, since setting parameters equal to zero in multinomial models does not necessarily imply "no effect." We propose an approach to modeling multinomial outcomes with many levels based on a Bayesian multinomial probit (MNP) model and a multiple shrinkage prior distribution for the regression parameters. The prior distribution encourages the MNP regression parameters to shrink toward a number of learned locations, thereby substantially reducing the dimension of the parameter space. Using simulated data, we compare the predictive performance of this model against two other recently-proposed methods for big multinomial models. The results suggest that the fully Bayesian, multiple shrinkage approach can outperform these other methods. We apply the multiple shrinkage MNP to simulating replacement values for areal identifiers, e.g., census tract indicators, in order to protect data confidentiality in public use datasets.

  8. Maturation of biomass-to-biofuels conversion technology pathways for rapid expansion of biofuels production: A system dynamics perspective

    DOE PAGES

    Vimmerstedt, Laura J.; Bush, Brian W.; Hsu, Dave D.; ...

    2014-08-12

    The Biomass Scenario Model (BSM) is a system-dynamics simulation model intended to explore the potential for rapid expansion of the biofuels industry. The model is not predictive — it uses scenario assumptions based on various types of data to simulate industry development, emphasizing how incentives and technological learning-by-doing might accelerate industry growth. The BSM simulates major sectors of the biofuels industry, including feedstock production and logistics, conversion, distribution, and end uses, as well as interactions among sectors. The model represents conversion of biomass to biofuels as a set of technology pathways, each of which has allowable feedstocks, capital and operatingmore » costs, allowable products, and other defined characteristics. This study and the BSM address bioenergy modeling analytic needs that were identified in recent literature reviews. Simulations indicate that investments are most effective at expanding biofuels production through learning-by-doing when they are coordinated with respect to timing, pathway, and target sector within the biofuels industry. Effectiveness metrics include timing and magnitude of increased production, incentive cost and cost effectiveness, and avoidance of windfall profits. Investment costs and optimal investment targets have inherent risks and uncertainties, such as the relative value of investment in more-mature versus less mature pathways. These can be explored through scenarios, but cannot be precisely predicted. Dynamic competition, including competition for cellulosic feedstocks and ethanol market shares, intensifies during times of rapid growth. Ethanol production increases rapidly, even up to Renewable Fuel Standards-targeted volumes of biofuel, in simulations that allow higher blending proportions of ethanol in gasoline-fueled vehicles. Published 2014. This document is a U.S. Government work and is in the public domain in the USA. Biofuels, Bioproducts, Biorefining published by John Wiley & Sons, Ltd on behalf of Society of Chemical Industry.« less

  9. Improved Neural Signal Classification in a Rapid Serial Visual Presentation Task Using Active Learning.

    PubMed

    Marathe, Amar R; Lawhern, Vernon J; Wu, Dongrui; Slayback, David; Lance, Brent J

    2016-03-01

    The application space for brain-computer interface (BCI) technologies is rapidly expanding with improvements in technology. However, most real-time BCIs require extensive individualized calibration prior to use, and systems often have to be recalibrated to account for changes in the neural signals due to a variety of factors including changes in human state, the surrounding environment, and task conditions. Novel approaches to reduce calibration time or effort will dramatically improve the usability of BCI systems. Active Learning (AL) is an iterative semi-supervised learning technique for learning in situations in which data may be abundant, but labels for the data are difficult or expensive to obtain. In this paper, we apply AL to a simulated BCI system for target identification using data from a rapid serial visual presentation (RSVP) paradigm to minimize the amount of training samples needed to initially calibrate a neural classifier. Our results show AL can produce similar overall classification accuracy with significantly less labeled data (in some cases less than 20%) when compared to alternative calibration approaches. In fact, AL classification performance matches performance of 10-fold cross-validation (CV) in over 70% of subjects when training with less than 50% of the data. To our knowledge, this is the first work to demonstrate the use of AL for offline electroencephalography (EEG) calibration in a simulated BCI paradigm. While AL itself is not often amenable for use in real-time systems, this work opens the door to alternative AL-like systems that are more amenable for BCI applications and thus enables future efforts for developing highly adaptive BCI systems.

  10. Can surgical simulation be used to train detection and classification of neural networks?

    PubMed

    Zisimopoulos, Odysseas; Flouty, Evangello; Stacey, Mark; Muscroft, Sam; Giataganas, Petros; Nehme, Jean; Chow, Andre; Stoyanov, Danail

    2017-10-01

    Computer-assisted interventions (CAI) aim to increase the effectiveness, precision and repeatability of procedures to improve surgical outcomes. The presence and motion of surgical tools is a key information input for CAI surgical phase recognition algorithms. Vision-based tool detection and recognition approaches are an attractive solution and can be designed to take advantage of the powerful deep learning paradigm that is rapidly advancing image recognition and classification. The challenge for such algorithms is the availability and quality of labelled data used for training. In this Letter, surgical simulation is used to train tool detection and segmentation based on deep convolutional neural networks and generative adversarial networks. The authors experiment with two network architectures for image segmentation in tool classes commonly encountered during cataract surgery. A commercially-available simulator is used to create a simulated cataract dataset for training models prior to performing transfer learning on real surgical data. To the best of authors' knowledge, this is the first attempt to train deep learning models for surgical instrument detection on simulated data while demonstrating promising results to generalise on real data. Results indicate that simulated data does have some potential for training advanced classification methods for CAI systems.

  11. Polarized e-bunch acceleration at Cornell RCS: Tentative tracking simulations

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Meot, F.; Ptitsyn, V.; Ranjbar, V.

    2017-10-19

    An option as an injector into eRHIC electron storage ring is a rapid-cyclic synchrotron (RCS). Rapid acceleration of polarized electron bunches has never been done, Cornell synchrotron might lend itself to dedicated tests, which is to be first explored based on numerical investigations. This paper is a very preliminary introduction to the topic.

  12. Perspective Making: Constructivism as a Meaning-Making Structure for Simulation Gaming

    ERIC Educational Resources Information Center

    Lainema, Timo

    2009-01-01

    Constructivism has recently gained popularity, although it is not a completely new learning paradigm. Much of the work within e-learning, for example, uses constructivism as a reference "discipline" (explicitly or implicitly). However, some of the work done within the simulation gaming (SG) community discusses what the basic assumptions and…

  13. Evaluation of Visual Computer Simulator for Computer Architecture Education

    ERIC Educational Resources Information Center

    Imai, Yoshiro; Imai, Masatoshi; Moritoh, Yoshio

    2013-01-01

    This paper presents trial evaluation of a visual computer simulator in 2009-2011, which has been developed to play some roles of both instruction facility and learning tool simultaneously. And it illustrates an example of Computer Architecture education for University students and usage of e-Learning tool for Assembly Programming in order to…

  14. An E-learning System based on Affective Computing

    NASA Astrophysics Data System (ADS)

    Duo, Sun; Song, Lu Xue

    In recent years, e-learning as a learning system is very popular. But the current e-learning systems cannot instruct students effectively since they do not consider the emotional state in the context of instruction. The emergence of the theory about "Affective computing" can solve this question. It can make the computer's intelligence no longer be a pure cognitive one. In this paper, we construct an emotional intelligent e-learning system based on "Affective computing". A dimensional model is put forward to recognize and analyze the student's emotion state and a virtual teacher's avatar is offered to regulate student's learning psychology with consideration of teaching style based on his personality trait. A "man-to-man" learning environment is built to simulate the traditional classroom's pedagogy in the system.

  15. Developing an Appropriate Design for E-Learning with Web-Mediated Teaching Methods to Enhance Low-Achieving Students' Computing Skills: Five Studies in E-Learning Implementation

    ERIC Educational Resources Information Center

    Tsai, Chia-Wen; Lee, Tsang-Hsiung

    2012-01-01

    Vocational education in Taiwan is highly competitive in that it must attract sufficient student enrollment in the environment with a rapidly increasing number of schools. Many students in this context tend to have lower levels of academic achievement, and do not adequately get involved in their schoolwork. Under such constraints but moving toward…

  16. Chris Pierce and the Yankee Donut Company: An E-Mail-Based Management Simulation

    ERIC Educational Resources Information Center

    Greenberg, Danna N.; Rollag, Keith

    2005-01-01

    In this article, the authors describe an e-mail-based simulation that helps students experience the fast-paced, complex world of the middle manager. In this electronic in-basket exercise, students assume the role of a district manager in a doughnut company as they respond to a rapid series of high- and low-priority e-mails ostensibly sent from…

  17. Millennial generation student nurses' perceptions of the impact of multiple technologies on learning.

    PubMed

    Montenery, Susan M; Walker, Marjorie; Sorensen, Elizabeth; Thompson, Rhonda; Kirklin, Dena; White, Robin; Ross, Carl

    2013-01-01

    To determine how millennial nursing students perceive the effects of instructional technology on their attentiveness, knowledge, critical thinking, and satisfaction. BACKGROUND Millennial learners develop critical thinking through experimentation, active participation, and multitasking with rapid shifts between technological devices. They desire immediate feedback. METHOD; A descriptive, longitudinal, anonymous survey design was used with a convenience sample of 108 sophomore, junior, and senior baccalaureate nursing students (participation rates 95 percent, winter, 85 percent, spring). Audience response, virtual learning, simulation, and computerized testing technologies were used. An investigator-designed instrument measured attentiveness, knowledge, critical thinking, and satisfaction (Cronbach's alphas 0.73, winter; 0.84, spring). Participants positively rated the audience response, virtual learning, and simulation instructional technologies on their class participation, learning, attention, and satisfaction. They strongly preferred computerized testing. Consistent with other studies, these students engaged positively with new teaching strategies using contemporary instructional technology. Faculty should consider using instructional technologies.

  18. E-learning in newborn health - a paradigm shift for continuing professional development for doctors and nurses.

    PubMed

    Chandrasekaran, Aparna; Thukral, Anu; Deorari, Ashok K

    2014-12-01

    Neonatal mortality can be largely prevented by wide-scale coverage of components of essential newborn care and management of sick neonates in district-level healthcare facilities. A vital step in this direction is imparting the requisite knowledge and skill among healthcare providers. Medical education programs with their static curricula seldom adapt to the changing needs of neonatal healthcare providers in patient-centered, collaborative and remote delivery contexts. E-learning is emerging as the cutting edge tool towards refinement of knowledge, attitude and practices of physicians. Module-based e-learning courses can be blended with a skill learning contact period in partnering institutions thus saving resources and rapidly covering a wide geographical region with uniform standardized education. In this review, the authors discuss their experience with e-learning aimed at introducing and refining the understanding of sick newborn care among pre-service and in-service doctors who manage neonates.

  19. Using Elearning techniques to support problem based learning within a clinical simulation laboratory.

    PubMed

    Docherty, Charles; Hoy, Derek; Topp, Helena; Trinder, Kathryn

    2004-01-01

    This paper details the results of the first phase of a project that used eLearning to support students' learning within a simulated environment. The locus was a purpose built Clinical Simulation Laboratory (CSL) where the School's newly adopted philosophy of Problem Based Learning (PBL) was challenged through lecturers reverting to traditional teaching methods. The solution, a student-centred, problem-based approach to the acquisition of clinical skills was developed using learning objects embedded within web pages that substituted for lecturers providing instruction and demonstration. This allowed lecturers to retain their facilitator role, and encouraged students to explore, analyse and make decisions within the safety of a clinical simulation. Learning was enhanced through network communications and reflection on video performances of self and others. Evaluations were positive, students demonstrating increased satisfaction with PBL, improved performance in exams, and increased self-efficacy in the performance of nursing activities. These results indicate that an elearning approach can support PBL in delivering a student centred learning experience.

  20. Simulation Training: Evaluating the Instructor’s Contribution to a Wizard of Oz Simulator in Obstetrics and Gynecology Ultrasound Training

    PubMed Central

    Tepper, Ronnie

    2017-01-01

    Background Workplaces today demand graduates who are prepared with field-specific knowledge, advanced social skills, problem-solving skills, and integration capabilities. Meeting these goals with didactic learning (DL) is becoming increasingly difficult. Enhanced training methods that would better prepare tomorrow’s graduates must be more engaging and game-like, such as feedback based e-learning or simulation-based training, while saving time. Empirical evidence regarding the effectiveness of advanced learning methods is lacking. Objective quantitative research comparing advanced training methods with DL is sparse. Objectives This quantitative study assessed the effectiveness of a computerized interactive simulator coupled with an instructor who monitored students’ progress and provided Web-based immediate feedback. Methods A low-cost, globally accessible, telemedicine simulator, developed at the Technion—Israel Institute of Technology, Haifa, Israel—was used. A previous study in the field of interventional cardiology, evaluating the efficacy of the simulator to enhanced learning via knowledge exams, presented promising results of average scores varying from 94% after training and 54% before training (n=20) with P<.001. Two independent experiments involving obstetrics and gynecology (Ob-Gyn) physicians and senior ultrasound sonographers, with 32 subjects, were conducted using a new interactive concept of the WOZ (Wizard of OZ) simulator platform. The contribution of an instructor to learning outcomes was evaluated by comparing students’ knowledge before and after each interactive instructor-led session as well as after fully automated e-learning in the field of Ob-Gyn. Results from objective knowledge tests were analyzed using hypothesis testing and model fitting. Results A significant advantage (P=.01) was found in favor of the WOZ training approach. Content type and training audience were not significant. Conclusions This study evaluated the contribution of an integrated teaching environment using a computerized interactive simulator, with an instructor providing immediate Web-based immediate feedback to trainees. Involvement of an instructor in the simulation-based training process provided better learning outcomes that varied training content and trainee populations did not affect the overall learning gains. PMID:28432039

  1. Creating a Framework of a Resource-Based E-Learning Environment for Science Learning in Primary Classrooms

    ERIC Educational Resources Information Center

    So, Winnie W. M.

    2012-01-01

    Advancements in information and communications technology and the rapid expansion of the Internet have changed the nature and the mode of the presentation and delivery of teaching and learning resources. This paper discusses the results of a study aimed at investigating how five teachers planned to integrate online resources in their teaching of…

  2. Fall classification by machine learning using mobile phones.

    PubMed

    Albert, Mark V; Kording, Konrad; Herrmann, Megan; Jayaraman, Arun

    2012-01-01

    Fall prevention is a critical component of health care; falls are a common source of injury in the elderly and are associated with significant levels of mortality and morbidity. Automatically detecting falls can allow rapid response to potential emergencies; in addition, knowing the cause or manner of a fall can be beneficial for prevention studies or a more tailored emergency response. The purpose of this study is to demonstrate techniques to not only reliably detect a fall but also to automatically classify the type. We asked 15 subjects to simulate four different types of falls-left and right lateral, forward trips, and backward slips-while wearing mobile phones and previously validated, dedicated accelerometers. Nine subjects also wore the devices for ten days, to provide data for comparison with the simulated falls. We applied five machine learning classifiers to a large time-series feature set to detect falls. Support vector machines and regularized logistic regression were able to identify a fall with 98% accuracy and classify the type of fall with 99% accuracy. This work demonstrates how current machine learning approaches can simplify data collection for prevention in fall-related research as well as improve rapid response to potential injuries due to falls.

  3. Project-based faculty development for e-learning.

    PubMed

    Vyas, Rashmi; Faith, Minnie; Selvakumar, Dhayakani; Pulimood, Anna; Lee, Mary

    2016-12-01

    The Christian Medical College, Vellore, in collaboration with Tufts University, Boston, conducted an advanced workshop in e-learning for medical faculty members in India. E-learning can enhance educational reforms for today's computer-literate generation, and keep faculty members up to speed in a rapidly changing world. The purpose of this paper is to report on the design and evaluation of a project-based faculty member development programme focused on developing faculty members as educators and as peer trainers who can use e-learning for educational reforms. During a 2-day workshop, 29 participants in groups of two or three developed 13 e-learning projects for implementation in their institutions. Evaluation of the workshop was through written feedback from the participants at the end of the workshop and by telephone interview with one participant from each project group at the end of one year. Content analysis of qualitative data was perfomed. The participants reported that they were motivated to implement e-learning projects and recognised the need for and usefulness of e-learning. The majority of projects (10 out of 13) that were implemented 'to some extent' or 'to a great extent' faced challenges with a lack of resources and administrative support, but faculty members were able to overcome them. E-learning can enhance educational reforms for today's computer-literate generation IMPLICATIONS: Designing feasible e-learning projects in small groups and obtaining hands-on experience with e-learning tools enhance the effectiveness of subsequent implementation. To successfully incorporate e-learning when designing educational reforms, faculty member training, continuing support and infrastructure facilities are essential. © 2016 John Wiley & Sons Ltd.

  4. Self-regulated learning in simulation-based training: a systematic review and meta-analysis.

    PubMed

    Brydges, Ryan; Manzone, Julian; Shanks, David; Hatala, Rose; Hamstra, Stanley J; Zendejas, Benjamin; Cook, David A

    2015-04-01

    Self-regulated learning (SRL) requires an active learner who has developed a set of processes for managing the achievement of learning goals. Simulation-based training is one context in which trainees can safely practise learning how to learn. The purpose of the present study was to evaluate, in the simulation-based training context, the effectiveness of interventions designed to support trainees in SRL activities. We used the social-cognitive model of SRL to guide a systematic review and meta-analysis exploring the links between instructor supervision, supports or scaffolds for SRL, and educational outcomes. We searched databases including MEDLINE and Scopus, and previous reviews, for material published until December 2011. Studies comparing simulation-based SRL interventions with another intervention for teaching health professionals were included. Reviewers worked independently and in duplicate to extract information on learners, study quality and educational outcomes. We used random-effects meta-analysis to compare the effects of supervision (instructor present or absent) and SRL educational supports (e.g. goal-setting study guides present or absent). From 11,064 articles, we included 32 studies enrolling 2482 trainees. Only eight of the 32 studies included educational supports for SRL. Compared with instructor-supervised interventions, unsupervised interventions were associated with poorer immediate post-test outcomes (pooled effect size: -0.34, p = 0.09; n = 19 studies) and negligible effects on delayed (i.e. > 1 week) retention tests (pooled effect size: 0.11, p = 0.63; n = 8 studies). Interventions including SRL supports were associated with small benefits compared with interventions without supports on both immediate post-tests (pooled effect size: 0.23, p = 0.22; n = 5 studies) and delayed retention tests (pooled effect size: 0.44, p = 0.067; n = 3 studies). Few studies in the simulation literature have designed SRL training to explicitly support trainees' capacity to self-regulate their learning. We recommend that educators and researchers shift from thinking about SRL as learning alone to thinking of SRL as comprising a shared responsibility between the trainee and the instructional designer (i.e. learning using designed supports that help prepare individuals for future learning). © 2015 John Wiley & Sons Ltd.

  5. An Assessment of E-Training Effectiveness in Multinational Companies in Malaysia

    ERIC Educational Resources Information Center

    Ramayah, Thurasamy; Ahmad, Noor Hazlina; Hong, Tan Say

    2012-01-01

    E-training has developed into a revolutionary way of learning in Malaysian organizations due to rapid growth in information technology infrastructure. The present study endeavors to determine the critical factors that influence e-training effectiveness in multinational companies (MNCs) in Malaysia. By integrating Technology Acceptance Model (TAM),…

  6. Improving antibiotic prescribing skills in medical students: the effect of e-learning after 6 months.

    PubMed

    Sikkens, Jonne J; Caris, Martine G; Schutte, Tim; Kramer, Mark H H; Tichelaar, Jelle; van Agtmael, Michiel A

    2018-05-09

    Antimicrobial prescribing behaviour is first established during medical study, but teachers often cite lack of time as an important problem in the implementation of antimicrobial stewardship in the medical curriculum. The use of electronic learning (e-learning) is a potentially time-efficient solution, but its effectiveness in changing long-term prescribing behaviour in medical students is as yet unknown. We performed a prospective controlled intervention study of the long-term effects of a short interactive e-learning course among fourth year medical students in a Dutch university. The e-learning was temporarily implemented as a non-compulsory course during a 6 week period. Six months later, all students underwent an infectious disease-based objective structured clinical examination (OSCE) aimed at simulating postgraduate prescribing. If they passed, each student did the OSCE only once. We created a control group of students from a period when the e-learning was not implemented. Main outcomes were the OSCE pass percentage and knowledge, drug choice and overall scores. We used propensity scores to create equal comparisons. We included 71 students in the intervention group and 285 students in the control group. E-learning participation in the intervention group was 81%. The OSCE pass percentage was 86% in the control group versus 97% in the intervention group (+11%, OR 5.9, 95% CI 1.7-20.0). OSCE overall, knowledge and drug choice grades (1-10) were also significantly higher in the intervention group (differences +0.31, +0.31 and +0.51, respectively). E-learning during a limited period can significantly improve medical students' performance of an antimicrobial therapeutic consultation in a situation simulating clinical practice 6 months later.

  7. Combining Interactive Thermodynamics Simulations with Screencasts and Conceptests

    ERIC Educational Resources Information Center

    Falconer, John L.

    2016-01-01

    More than 40 interactive "Mathematica" simulations were prepared for chemical engineering thermodynamics, screencasts were prepared that explain how to use each simulation, and more than 100 ConcepTests were prepared that utilize the simulations. They are located on www.LearnChemE.com. The purposes of these simulations are to clarify…

  8. Instructional Advice, Time Advice and Learning Questions in Computer Simulations

    ERIC Educational Resources Information Center

    Rey, Gunter Daniel

    2010-01-01

    Undergraduate students (N = 97) used an introductory text and a computer simulation to learn fundamental concepts about statistical analyses (e.g., analysis of variance, regression analysis and General Linear Model). Each learner was randomly assigned to one cell of a 2 (with or without instructional advice) x 2 (with or without time advice) x 2…

  9. Flexible Simulation E-Learning Environment for Studying Digital Circuits and Possibilities for It Deployment as Semantic Web Service

    ERIC Educational Resources Information Center

    Radoyska, P.; Ivanova, T.; Spasova, N.

    2011-01-01

    In this article we present a partially realized project for building a distributed learning environment for studying digital circuits Test and Diagnostics at TU-Sofia. We describe the main requirements for this environment, substantiate the developer platform choice, and present our simulation and circuit parameter calculation tools.…

  10. Numerical simulation of the rapid intensification of Hurricane Katrina (2005): Sensitivity to boundary layer parameterization schemes

    NASA Astrophysics Data System (ADS)

    Liu, Jianjun; Zhang, Feimin; Pu, Zhaoxia

    2017-04-01

    Accurate forecasting of the intensity changes of hurricanes is an important yet challenging problem in numerical weather prediction. The rapid intensification of Hurricane Katrina (2005) before its landfall in the southern US is studied with the Advanced Research version of the WRF (Weather Research and Forecasting) model. The sensitivity of numerical simulations to two popular planetary boundary layer (PBL) schemes, the Mellor-Yamada-Janjic (MYJ) and the Yonsei University (YSU) schemes, is investigated. It is found that, compared with the YSU simulation, the simulation with the MYJ scheme produces better track and intensity evolution, better vortex structure, and more accurate landfall time and location. Large discrepancies (e.g., over 10 hPa in simulated minimum sea level pressure) are found between the two simulations during the rapid intensification period. Further diagnosis indicates that stronger surface fluxes and vertical mixing in the PBL from the simulation with the MYJ scheme lead to enhanced air-sea interaction, which helps generate more realistic simulations of the rapid intensification process. Overall, the results from this study suggest that improved representation of surface fluxes and vertical mixing in the PBL is essential for accurate prediction of hurricane intensity changes.

  11. Mechanisms of Memory Dysfunction during High Altitude Hypoxia Training in Military Aircrew.

    PubMed

    Nation, Daniel A; Bondi, Mark W; Gayles, Ellis; Delis, Dean C

    2017-01-01

    Cognitive dysfunction from high altitude exposure is a major cause of civilian and military air disasters. Pilot training improves recognition of the early symptoms of altitude exposure so that countermeasures may be taken before loss of consciousness. Little is known regarding the nature of cognitive impairments manifesting within this critical window when life-saving measures may still be taken. Prior studies evaluating cognition during high altitude simulation have predominantly focused on measures of reaction time and other basic attention or motor processes. Memory encoding, retention, and retrieval represent critical cognitive functions that may be vulnerable to acute hypoxic/ischemic events and could play a major role in survival of air emergencies, yet these processes have not been studied in the context of high altitude simulation training. In a series of experiments, military aircrew underwent neuropsychological testing before, during, and after brief (15 min) exposure to high altitude simulation (20,000 ft) in a pressure-controlled chamber. Acute exposure to high altitude simulation caused rapid impairment in learning and memory with relative preservation of basic visual and auditory attention. Memory dysfunction was predominantly characterized by deficiencies in memory encoding, as memory for information learned during high altitude exposure did not improve after washout at sea level. Retrieval and retention of memories learned shortly before altitude exposure were also impaired, suggesting further impairment in memory retention. Deficits in memory encoding and retention are rapidly induced upon exposure to high altitude, an effect that could impact life-saving situational awareness and response. (JINS, 2017, 23, 1-10).

  12. Internet-based learning and applications for critical care medicine.

    PubMed

    Wolbrink, Traci A; Burns, Jeffrey P

    2012-01-01

    Recent changes in duty hour allowances and economic constraints are forcing a paradigm shift in graduate medical education in the United States. Internet-based learning is a rapidly growing component of postgraduate medical education, including the field of critical care medicine. Here, we define the key concepts of Internet-based learning, summarize the current literature, and describe how Internet-based learning may be uniquely suited for the critical care provider. A MEDLINE/PubMed search from January 2000 to July 2011 using the search terms: "e-learning," "Web-based learning," "computer-aided instruction," "adult learning," "knowledge retention," "intensive care," and "critical care." The growth of the Internet is marked by the development of new technologies, including more user-derived tools. Nonmedical fields have embraced Internet-based learning as a valuable teaching tool. A recent meta-analysis described Internet-based learning in the medical field as being more effective than no intervention and likely as efficacious as traditional teaching methods. Web sites containing interactive features are aptly suited for the adult learner, complementing the paradigm shift to more learner-centered education. Interactive cases, simulators, and games may allow for improvement in clinical care. The total time spent utilizing Internet-based resources, as well as the frequency of returning to those sites, may influence educational gains. Internet-based learning may provide an opportunity for assistance in the transformation of medical education. Many features of Web-based learning, including interactivity, make it advantageous for the adult medical learner, especially in the field of critical care medicine, and further work is necessary to develop a robust learning platform incorporating a variety of learning modalities for critical care providers.

  13. Developing an e-learning resource for nurse airway assistants in the emergency department.

    PubMed

    Hersey, Peter; McAleer, Sean

    2017-02-23

    The aims of this project were to determine the required competencies for a nurse in the emergency department assisting with a rapid sequence induction of anaesthesia (RSI), and to produce a relevant e-learning resource. A three-round multidisciplinary Delphi process produced the following competencies: ability to describe the steps and sequence of events of an RSI, familiarity with the equipment used during an RSI, ability to recognise and help manage problems occurring during an RSI, ability to prepare for an RSI, ability to apply cricoid pressure, and understanding the modification of an RSI in special circumstances. An interactive e-learning package was produced and made available online. Twelve emergency department nurses took part in an evaluation of the e-learning package. All either agreed or strongly agreed that they had increased their knowledge and found the learning useful, and 11 out of 12 nurses reported being somewhat or very confident in the role of airway assistant following completion of the learning.

  14. The Heliopause Electrostatic Rapid Transit System (HERTS) Design, Trades, and Analyses Performed in a Two Year NASA Investigation of Electric Sail Propulsion Systems

    NASA Technical Reports Server (NTRS)

    Wiegmann, Bruce M.

    2017-01-01

    The Heliopause Electrostatic Rapid Transit System (HERTS) was one of the seven total Phase II NASA Innovative Advanced Concepts (NIAC) that was down-selected in 2015 for continued funding and research. In Phase I our team learned that a spacecraft propelled by an Electric Sail (E-Sail) can travel great astronomical distances, such as to the Heliopause region of the solar system (approx. 100 to 120 AU) in approximately one quarter of the time (10 years) versus the time it took the Voyager spacecraft launched in 1977 (36 years). The completed work within the Phase II NIAC funded effort builds upon the work that was done in the Phase I NIAC and is focused on: 1) Testing of plasma interaction with a charged wire in a MSFC simulated solar environment vacuum test chamber. 2) Development of a Particle-in-Cell (PIC) models that are validated in the plasma testing and used to extrapolate to the E-Sail propulsion system design. 3) Conceptual design of a Technology Demonstration Mission (TDM) spacecraft developed to showcase E-Sail propulsion systems. 4) Down selection of both: a) Materials for a multi km length conductor and, b) Best configuration of the proposed conductor deployment subsystem. This paper will document the findings to date (June, 2017) of the above focused areas.

  15. Usability Assessment of E-Café Operational Management Simulation Game

    ERIC Educational Resources Information Center

    Chang, Chiung-sui; Huang, Ya-Ping

    2013-01-01

    To ensure the quality of digital simulation game, we utilized the usability evaluation heuristic in the design and development processes of e-café operational management game-based learning material for students. The application of usability evaluations during this study is described. Additionally, participant selection, data collection and…

  16. Journey to Textbook Affordability: An Investigation of Students' Use of eTextbooks at Multiple Campuses

    ERIC Educational Resources Information Center

    Baek, Eun-Ok; Monaghan, James

    2013-01-01

    eTextbooks have steadily and recently more rapidly penetrated the textbook market. In order to effectively support students' learning, it is important to comprehend students' experiences using eTextbooks. This survey study was designed to gain an understanding of students' experiences in using eTextbooks and variables that impact their…

  17. 'eSimulation'. Part 2: Evaluation of an interactive multimedia mental health education program for generalist nurses.

    PubMed

    Lamont, Scott; Brunero, Scott

    2014-01-01

    This paper reports on an evaluation of an eSimulation mental health education program for generalist nurses; developed using the following five key attributes of simulation: (1) creating a hypothetical opportunity; (2) authentic representation; (3) active participation; (4) integration; (5) repetition, evaluation and reflection. Four themes emerged from a qualitative thematic analysis of semi-structured interview data involving fourteen generalist nurses. The following four themes: (1) authenticity; (2) participation; (3) clinical reasoning; (4) control of learning provide supporting evidence that these attributes are positioned within the learning resource. Participants found the scenarios within the resource realistic, engaging and relevant to their scope of practice. This type of learning resource may help in developing the knowledge, skills and confidence of generalist nurses in delivering safe and competent mental health care in the generalist setting, when access to specialist services and appropriate means of training are unavailable.

  18. [Effect of space flight factors simulated in ground-based experiments on the behavior, discriminant learning, and exchange of monoamines in different brain structures of rats].

    PubMed

    Shtemberg, A S; Lebedeva-Georgievskaia, K V; Matveeva, M I; Kudrin, V S; Narkevich, V B; Klodt, P M; Bazian, A S

    2014-01-01

    Experimental treatment (long-term fractionated γ-irradiation, antiorthostatic hypodynamia, and the combination of these factors) simulating the effect of space flight in ground-based experiments rapidly restored the motor and orienting-investigative activity of animals (rats) in "open-field" tests. The study of the dynamics of discriminant learning of rats of experimental groups did not show significant differences from the control animals. It was found that the minor effect of these factors on the cognitive performance of animals correlated with slight changes in the concentration ofmonoamines in the brain structures responsible for the cognitive, emotional, and motivational functions.

  19. Scientific Literacy, E-Literacy and Illiteracy: The Interaction between Two Pupils and One Simulation

    ERIC Educational Resources Information Center

    McLuckie, Joe; Rodrigues, Susan; Taylor, Neil; Williamson, Graham

    2007-01-01

    This paper explores the influence of symbolic or representational learning materials on pupil engagement or learning outcomes, when 14-16 year old pupils use common types of science simulations. The project pilot phase involved three (15-16 year old) male pupils and a main phase involved twenty-one (14-15 year old) pupils. A retrospective accounts…

  20. Radiology education: a glimpse into the future.

    PubMed

    Scarsbrook, A F; Graham, R N J; Perriss, R W

    2006-08-01

    The digital revolution in radiology continues to advance rapidly. There are a number of interesting developments within radiology informatics which may have a significant impact on education and training of radiologists in the near future. These include extended functionality of handheld computers, web-based skill and knowledge assessment, standardization of radiological procedural training using simulated or virtual patients, worldwide videoconferencing via high-quality health networks such as Internet2 and global collaboration of radiological educational resources via comprehensive, multi-national databases such as the medical imaging resource centre initiative of the Radiological Society of North America. This article will explore the role of e-learning in radiology, highlight a number of useful web-based applications in this area, and explain how the current and future technological advances might best be incorporated into radiological training.

  1. Cardiac Point-of-Care Ultrasound: State of the Art in Medical School Education.

    PubMed

    Johri, Amer M; Durbin, Joshua; Newbigging, Joseph; Tanzola, Robert; Chow, Ryan; De, Sabe; Tam, James

    2018-03-14

    The development of small, user friendly, handheld ultrasound devices has stimulated the growth of cardiac point-of-care ultrasound (POCUS) for the purpose of rapid, bedside cardiac assessment. Medical schools have begun integrating cardiac POCUS into their curricula. In this review the authors summarize the variable approaches taken by several medical training programs with respect to duration of POCUS training, prerequisite knowledge, and methods of delivering these skills (including e-learning, hands-on training, and simulation). The authors also address issues related to the need for competency evaluation and the limitations of the technology itself. The studies reviewed suggest that undergraduate education is a viable point at which to introduce basic POCUS concepts. Copyright © 2018 American Society of Echocardiography. Published by Elsevier Inc. All rights reserved.

  2. Learning how to learn using simulation: Unpacking disguised feedback using a qualitative analysis of doctors' telephone talk.

    PubMed

    Eppich, Walter J; Rethans, Jan-Joost; Dornan, Timothy; Teunissen, Pim W

    2018-05-04

    Telephone talk between clinicians represents a substantial workplace activity in postgraduate clinical education, yet junior doctors receive little training in goal-directed, professional telephone communication. To assess educational needs for telephone talk and develop a simulation-based educational intervention. Thematic analysis of 17 semi-structured interviews with doctors-in-training from various training levels and specialties. We identified essential elements to incorporate into simulation-based telephone talk, including common challenging situations for junior doctors as well as explicit and informal aspects that promote learning. These elements have implications for both junior doctors and clinical supervisors, including: (a) explicit teaching and feedback practices and (b) informal conversational interruptions and questions. The latter serve as "disguised" feedback, which aligns with recent conceptualizations of feedback as "performance relevant information". In addition to preparing clinical supervisors to support learning through telephone talk, we propose several potential educational strategies: (a) embedding telephone communication skills throughout simulation activities and (b) developing stand-alone curricular elements to sensitize junior doctors to "disguised" feedback during telephone talk as a mechanism to augment future workplace learning, i.e. 'learning how to learn' through simulation.

  3. Computer and laboratory simulation in the teaching of neonatal nursing: innovation and impact on learning 1

    PubMed Central

    Fonseca, Luciana Mara Monti; Aredes, Natália Del' Angelo; Fernandes, Ananda Maria; Batalha, Luís Manuel da Cunha; Apóstolo, Jorge Manuel Amado; Martins, José Carlos Amado; Rodrigues, Manuel Alves

    2016-01-01

    ABSTRACT Objectives: to evaluate the cognitive learning of nursing students in neonatal clinical evaluation from a blended course with the use of computer and laboratory simulation; to compare the cognitive learning of students in a control and experimental group testing the laboratory simulation; and to assess the extracurricular blended course offered on the clinical assessment of preterm infants, according to the students. Method: a quasi-experimental study with 14 Portuguese students, containing pretest, midterm test and post-test. The technologies offered in the course were serious game e-Baby, instructional software of semiology and semiotechnique, and laboratory simulation. Data collection tools developed for this study were used for the course evaluation and characterization of the students. Nonparametric statistics were used: Mann-Whitney and Wilcoxon. Results: the use of validated digital technologies and laboratory simulation demonstrated a statistically significant difference (p = 0.001) in the learning of the participants. The course was evaluated as very satisfactory for them. The laboratory simulation alone did not represent a significant difference in the learning. Conclusions: the cognitive learning of participants increased significantly. The use of technology can be partly responsible for the course success, showing it to be an important teaching tool for innovation and motivation of learning in healthcare. PMID:27737376

  4. Design Principles of Next-Generation Digital Gaming for Education.

    ERIC Educational Resources Information Center

    Squire, Kurt; Jenkins, Henry; Holland, Walter; Miller, Heather; O'Driscoll, Alice; Tan, Katie Philip; Todd, Katie.

    2003-01-01

    Discusses the rapid growth of digital games, describes research at MIT that is exploring the potential of digital games for supporting learning, and offers hypotheses about the design of next-generation educational video and computer games. Highlights include simulations and games; and design principles, including context and using information to…

  5. Simulating the Composite Propellant Manufacturing Process

    NASA Technical Reports Server (NTRS)

    Williamson, Suzanne; Love, Gregory

    2000-01-01

    There is a strategic interest in understanding how the propellant manufacturing process contributes to military capabilities outside the United States. The paper will discuss how system dynamics (SD) has been applied to rapidly assess the capabilities and vulnerabilities of a specific composite propellant production complex. These facilities produce a commonly used solid propellant with military applications. The authors will explain how an SD model can be configured to match a specific production facility followed by a series of scenarios designed to analyze operational vulnerabilities. By using the simulation model to rapidly analyze operational risks, the analyst gains a better understanding of production complexities. There are several benefits of developing SD models to simulate chemical production. SD is an effective tool for characterizing complex problems, especially the production process where the cascading effect of outages quickly taxes common understanding. By programming expert knowledge into an SD application, these tools are transformed into a knowledge management resource that facilitates rapid learning without requiring years of experience in production operations. It also permits the analyst to rapidly respond to crisis situations and other time-sensitive missions. Most importantly, the quantitative understanding gained from applying the SD model lends itself to strategic analysis and planning.

  6. Virtual Gaming Simulation in Nursing Education: A Focus Group Study.

    PubMed

    Verkuyl, Margaret; Hughes, Michelle; Tsui, Joyce; Betts, Lorraine; St-Amant, Oona; Lapum, Jennifer L

    2017-05-01

    The use of serious gaming in a virtual world is a novel pedagogical approach in nursing education. A virtual gaming simulation was implemented in a health assessment class that focused on mental health and interpersonal violence. The study's purpose was to explore students' experiences of the virtual gaming simulation. Three focus groups were conducted with a convenience sample of 20 first-year nursing students after they completed the virtual gaming simulation. Analysis yielded five themes: (a) Experiential Learning, (b) The Learning Process, (c) Personal Versus Professional, (d) Self-Efficacy, and (e) Knowledge. Virtual gaming simulation can provide experiential learning opportunities that promote engagement and allow learners to acquire and apply new knowledge while practicing skills in a safe and realistic environment. [J Nurs Educ. 2017;56(5):274-280.]. Copyright 2017, SLACK Incorporated.

  7. Learning new color names produces rapid increase in gray matter in the intact adult human cortex

    PubMed Central

    Kwok, Veronica; Niu, Zhendong; Kay, Paul; Zhou, Ke; Mo, Lei; Jin, Zhen; So, Kwok-Fai; Tan, Li Hai

    2011-01-01

    The human brain has been shown to exhibit changes in the volume and density of gray matter as a result of training over periods of several weeks or longer. We show that these changes can be induced much faster by using a training method that is claimed to simulate the rapid learning of word meanings by children. Using whole-brain magnetic resonance imaging (MRI) we show that learning newly defined and named subcategories of the universal categories green and blue in a period of 2 h increases the volume of gray matter in V2/3 of the left visual cortex, a region known to mediate color vision. This pattern of findings demonstrates that the anatomical structure of the adult human brain can change very quickly, specifically during the acquisition of new, named categories. Also, prior behavioral and neuroimaging research has shown that differences between languages in the boundaries of named color categories influence the categorical perception of color, as assessed by judgments of relative similarity, by response time in alternative forced-choice tasks, and by visual search. Moreover, further behavioral studies (visual search) and brain imaging studies have suggested strongly that the categorical effect of language on color processing is left-lateralized, i.e., mediated by activity in the left cerebral hemisphere in adults (hence “lateralized Whorfian” effects). The present results appear to provide a structural basis in the brain for the behavioral and neurophysiologically observed indices of these Whorfian effects on color processing. PMID:21464316

  8. Interactive Simulated Patient: Experiences with Collaborative E-Learning in Medicine

    ERIC Educational Resources Information Center

    Bergin, Rolf; Youngblood, Patricia; Ayers, Mary K.; Boberg, Jonas; Bolander, Klara; Courteille, Olivier; Dev, Parvati; Hindbeck, Hans; Edward, Leonard E., II; Stringer, Jennifer R.; Thalme, Anders; Fors, Uno G. H.

    2003-01-01

    Interactive Simulated Patient (ISP) is a computer-based simulation tool designed to provide medical students with the opportunity to practice their clinical problem solving skills. The ISP system allows students to perform most clinical decision-making procedures in a simulated environment, including history taking in natural language, many…

  9. And Then a Miracle Occurs! Ensuring the Successful Implementation of Enterpisewide EPSS and E-Learning from Day One.

    ERIC Educational Resources Information Center

    Stone, Deborah L.; Villachica, Steven W.

    2003-01-01

    Provides suggestions to ensure the success of electronic performance support systems (EPSS) and electronic learning, including creating hybrid solutions; aligning EPSS with business objectives and performance requirements; change management efforts; and rapid application development to lower costs, shrink schedules, and improve quality.…

  10. Collecting, Organizing and Analyzing Multimodal Data Sets: The Contributions of CAQDAS

    ERIC Educational Resources Information Center

    Antoniadou, Victoria

    2017-01-01

    Reflecting the inter-connected reality of today's world, contemporary education is striving to keep up with the exponentially rapid changes that individuals around the globe are facing. Innovative educational proposals carry labels such as connective learning (Downes, 2006), e-learning 2.0 (Downes, 2005), education 2.0 (Carr et al., 2008), or…

  11. Using a Web-Based e-Visit Simulation to Educate Nurse Practitioner Students.

    PubMed

    Merritt, Lisa Schaeg; Brauch, Allison N; Bender, Annah K; Kochuk, Daria

    2018-05-01

    The purpose of this pilot study was to develop and implement a Web-based, e-Visit simulation experience for nurse practitioner students and evaluate student satisfaction and perceived learning. The convenience sample consisted of 26 senior-level Master of Science in Nursing students in the Pediatric Nurse Practitioner and Adult-Gerontology Nurse Practitioner programs. A Likert survey was used for evaluation that measured items from 1 (strongly disagree) to 5 (strongly agree). Students reported that the simulation cases closely resembled real-world patients (97%; M = 4.42, SD = 0.69), providing them with a better understanding of complaints commonly addressed via telehealth services (96%; M = 4.46, SD = 0.57). Accuracy of diagnosis and treatment on first attempt was 95%. A Web-based, e-Visit simulation can be a useful learning experience for nurse practitioner students with knowledge gained that is transferable to real clinical situations. [J Nurs Educ. 2018;57(5):304-307.]. Copyright 2018, SLACK Incorporated.

  12. Developing a Mobile Physics Learning Environment Based on Physics Misconception Research and E-Learning Design Principles

    ERIC Educational Resources Information Center

    Lee, Young-Jin

    2010-01-01

    With a rapid increase in the number of people who own a handheld device, such as an iPod, education researchers and administrators started looking for a way to use a handheld device to foster student learning. However, the current use of a mobile device in education is quite limited. With few exceptions, it is mostly used as a simple media player…

  13. Resident and student education in otolaryngology: A 10-year update on e-learning.

    PubMed

    Tarpada, Sandip P; Hsueh, Wayne D; Gibber, Marc J

    2017-07-01

    E-learning, in its most rudimentary form, is the use of Internet-based resources for teaching and learning purposes. In surgical specialties, this definition encompasses the use of virtual patient cases, digital modeling, and online tutorials, as well as standardized video and imaging. As new technological frontiers rapidly emerge within otolaryngology, e-learning may be an effective alternative to traditional teaching. Here we present a systematic review of the literature assessing the efficacy of e-learning for otolaryngology education and a discussion of the relevance of these programs for both medical students and residents within the field. Systematic review. A systematic search of PubMed, Embase, Web of Science, and the Cochrane Library was conducted according to the guidelines defined in the Preferred Reporting Items for Systematic Reviews and Meta-Analyses statement. Twelve studies met inclusion criteria. These studies measured a range of outcomes from basic science anatomical knowledge to clinically relevant endpoints such as diagnostic accuracy. Nearly all of the studies reported greater satisfaction and/or significantly increased objective knowledge using the e-learning intervention compared to traditional techniques. E-learning proves to be a powerful alternative to standard teaching techniques within otolaryngology education for both residents and medical students. Future work should focus on validating specific e-learning programs and accessing long-term knowledge retention using these innovative platforms. NA Laryngoscope, 127:E219-E224, 2017. © 2016 The American Laryngological, Rhinological and Otological Society, Inc.

  14. Objective assessment of gynecologic laparoscopic skills using the LapSimGyn virtual reality simulator.

    PubMed

    Larsen, C R; Grantcharov, T; Aggarwal, R; Tully, A; Sørensen, J L; Dalsgaard, T; Ottesen, B

    2006-09-01

    Safe realistic training and unbiased quantitative assessment of technical skills are required for laparoscopy. Virtual reality (VR) simulators may be useful tools for training and assessing basic and advanced surgical skills and procedures. This study aimed to investigate the construct validity of the LapSimGyn VR simulator, and to determine the learning curves of gynecologists with different levels of experience. For this study, 32 gynecologic trainees and consultants (juniors or seniors) were allocated into three groups: novices (0 advanced laparoscopic procedures), intermediate level (>20 and <60 procedures), and experts (>100 procedures). All performed 10 sets of simulations consisting of three basic skill tasks and an ectopic pregnancy program. The simulations were carried out on 3 days within a maximum period of 2 weeks. Assessment of skills was based on time, economy of movement, and error parameters measured by the simulator. The data showed that expert gynecologists performed significantly and consistently better than intermediate and novice gynecologists. The learning curves differed significantly between the groups, showing that experts start at a higher level and more rapidly reach the plateau of their learning curve than do intermediate and novice groups of surgeons. The LapSimGyn VR simulator package demonstrates construct validity on both the basic skills module and the procedural gynecologic module for ectopic pregnancy. Learning curves can be obtained, but to reach the maximum performance for the more complex tasks, 10 repetitions do not seem sufficient at the given task level and settings. LapSimGyn also seems to be flexible and widely accepted by the users.

  15. CET exSim: mineral exploration experience via simulation

    NASA Astrophysics Data System (ADS)

    Wong, Jason C.; Holden, Eun-Jung; Kovesi, Peter; McCuaig, T. Campbell; Hronsky, Jon

    2013-08-01

    Undercover mineral exploration is a challenging task as it requires understanding of subsurface geology by relying heavily on remotely sensed (i.e. geophysical) data. Cost-effective exploration is essential in order to increase the chance of success using finite budgets. This requires effective decision-making in both the process of selecting the optimum data collection methods and in the process of achieving accuracy during subsequent interpretation. Traditionally, developing the skills, behaviour and practices of exploration decision-making requires many years of experience through working on exploration projects under various geological settings, commodities and levels of available resources. This implies long periods of sub-optimal exploration decision-making, before the necessary experience has been successfully obtained. To address this critical industry issue, our ongoing research focuses on the development of the unique and novel e-learning environment, exSim, which simulates exploration scenarios where users can test their strategies and learn the consequences of their choices. This simulator provides an engaging platform for self-learning and experimentation in exploration decision strategies, providing a means to build experience more effectively. The exSim environment also provides a unique platform on which numerous scenarios and situations (e.g. deposit styles) can be simulated, potentially allowing the user to become virtually familiarised with a broader scope of exploration practices. Harnessing the power of computer simulation, visualisation and an intuitive graphical user interface, the simulator provides a way to assess the user's exploration decisions and subsequent interpretations. In this paper, we present the prototype functionalities in exSim including: simulation of geophysical surveys, follow-up drill testing and interpretation assistive tools.

  16. E-Service Quality in Higher Education and Frequency of Use of the Service

    ERIC Educational Resources Information Center

    Kim-Soon, Ng; Rahman, Abd; Ahmed, Muhudin

    2014-01-01

    Universities have been at the forefront of online service provision. Regular evaluations and appraisals of its e-services provided to students are regularly improvised to keep pace with the rapid changes of learning technology and competitiveness of its services provided. There is a dread of research works investigating e-service quality…

  17. How we learn to make decisions: rapid propagation of reinforcement learning prediction errors in humans.

    PubMed

    Krigolson, Olav E; Hassall, Cameron D; Handy, Todd C

    2014-03-01

    Our ability to make decisions is predicated upon our knowledge of the outcomes of the actions available to us. Reinforcement learning theory posits that actions followed by a reward or punishment acquire value through the computation of prediction errors-discrepancies between the predicted and the actual reward. A multitude of neuroimaging studies have demonstrated that rewards and punishments evoke neural responses that appear to reflect reinforcement learning prediction errors [e.g., Krigolson, O. E., Pierce, L. J., Holroyd, C. B., & Tanaka, J. W. Learning to become an expert: Reinforcement learning and the acquisition of perceptual expertise. Journal of Cognitive Neuroscience, 21, 1833-1840, 2009; Bayer, H. M., & Glimcher, P. W. Midbrain dopamine neurons encode a quantitative reward prediction error signal. Neuron, 47, 129-141, 2005; O'Doherty, J. P. Reward representations and reward-related learning in the human brain: Insights from neuroimaging. Current Opinion in Neurobiology, 14, 769-776, 2004; Holroyd, C. B., & Coles, M. G. H. The neural basis of human error processing: Reinforcement learning, dopamine, and the error-related negativity. Psychological Review, 109, 679-709, 2002]. Here, we used the brain ERP technique to demonstrate that not only do rewards elicit a neural response akin to a prediction error but also that this signal rapidly diminished and propagated to the time of choice presentation with learning. Specifically, in a simple, learnable gambling task, we show that novel rewards elicited a feedback error-related negativity that rapidly decreased in amplitude with learning. Furthermore, we demonstrate the existence of a reward positivity at choice presentation, a previously unreported ERP component that has a similar timing and topography as the feedback error-related negativity that increased in amplitude with learning. The pattern of results we observed mirrored the output of a computational model that we implemented to compute reward prediction errors and the changes in amplitude of these prediction errors at the time of choice presentation and reward delivery. Our results provide further support that the computations that underlie human learning and decision-making follow reinforcement learning principles.

  18. Merging Energy Policy Decision Support, Education, and Communication: The 'World Energy' Simulation Role-Playing Game

    NASA Astrophysics Data System (ADS)

    Rooney-varga, J. N.; Franck, T.; Jones, A.; Sterman, J.; Sawin, E.

    2013-12-01

    To meet international goals for climate change mitigation and adaptation, as well as energy access and equity, there is an urgent need to explore and define energy policy paths forward. Despite this need, students, citizens, and decision-makers often hold deeply flawed mental models of the energy and climate systems. Here we describe a simulation role-playing game, World Energy, that provides an immersive learning experience in which participants can create their own path forward for global energy policy and learn about the impact of their policy choices on carbon dioxide emissions, temperature rise, energy supply mix, energy prices, and energy demand. The game puts players in the decision-making roles of advisors to the United Nations Sustainable Energy for All Initiative (drawn from international leaders from industry, governments, intergovernmental organizations, and citizens groups) and, using a state-of-the-art decision-support simulator, asks them to negotiate a plan for global energy policy. We use the En-ROADS (Energy Rapid Overview and Decision Support) simulator, which runs on a laptop computer in <0.1 sec. En-ROADS enables users to specify many factors, including R&D-driven cost reductions in fossil fuel-based, renewable, or carbon-neutral energy technologies; taxes and subsidies for different energy sources; performance standards and energy efficiency; emissions prices; policies to address other greenhouse gas emissions (e.g., methane, nitrous oxide, chlorofluorocarbons, etc.); and assumptions about GDP and population. In World Energy, participants must balance climate change mitigation goals with equity, prices and access to energy, and the political feasibility of policies. Initial results indicate participants gain insights into the dynamics of the energy and climate systems and greater understanding of the potential impacts policies.

  19. A comparative study on effect of e-learning and instructor-led methods on nurses' documentation competency.

    PubMed

    Abbaszadeh, Abbas; Sabeghi, Hakimeh; Borhani, Fariba; Heydari, Abbas

    2011-01-01

    Accurate recording of the nursing care indicates the care performance and its quality, so that, any failure in documentation can be a reason for inadequate patient care. Therefore, improving nurses' skills in this field using effective educational methods is of high importance. Since traditional teaching methods are not suitable for communities with rapid knowledge expansion and constant changes, e-learning methods can be a viable alternative. To show the importance of e-learning methods on nurses' care reporting skills, this study was performed to compare the e-learning methods with the traditional instructor-led methods. This was a quasi-experimental study aimed to compare the effect of two teaching methods (e-learning and lecture) on nursing documentation and examine the differences in acquiring competency on documentation between nurses who participated in the e-learning (n = 30) and nurses in a lecture group (n = 31). The results of the present study indicated that statistically there was no significant difference between the two groups. The findings also revealed that statistically there was no significant correlation between the two groups toward demographic variables. However, we believe that due to benefits of e-learning against traditional instructor-led method, and according to their equal effect on nurses' documentation competency, it can be a qualified substitute for traditional instructor-led method. E-learning as a student-centered method as well as lecture method equally promote competency of the nurses on documentation. Therefore, e-learning can be used to facilitate the implementation of nursing educational programs.

  20. A comparative study on effect of e-learning and instructor-led methods on nurses’ documentation competency

    PubMed Central

    Abbaszadeh, Abbas; Sabeghi, Hakimeh; Borhani, Fariba; Heydari, Abbas

    2011-01-01

    BACKGROUND: Accurate recording of the nursing care indicates the care performance and its quality, so that, any failure in documentation can be a reason for inadequate patient care. Therefore, improving nurses’ skills in this field using effective educational methods is of high importance. Since traditional teaching methods are not suitable for communities with rapid knowledge expansion and constant changes, e-learning methods can be a viable alternative. To show the importance of e-learning methods on nurses’ care reporting skills, this study was performed to compare the e-learning methods with the traditional instructor-led methods. METHODS: This was a quasi-experimental study aimed to compare the effect of two teaching methods (e-learning and lecture) on nursing documentation and examine the differences in acquiring competency on documentation between nurses who participated in the e-learning (n = 30) and nurses in a lecture group (n = 31). RESULTS: The results of the present study indicated that statistically there was no significant difference between the two groups. The findings also revealed that statistically there was no significant correlation between the two groups toward demographic variables. However, we believe that due to benefits of e-learning against traditional instructor-led method, and according to their equal effect on nurses’ documentation competency, it can be a qualified substitute for traditional instructor-led method. CONCLUSIONS: E-learning as a student-centered method as well as lecture method equally promote competency of the nurses on documentation. Therefore, e-learning can be used to facilitate the implementation of nursing educational programs. PMID:22224113

  1. Development of an Interactive Augmented Environment and Its Application to Autonomous Learning for Quadruped Robots

    NASA Astrophysics Data System (ADS)

    Kobayashi, Hayato; Osaki, Tsugutoyo; Okuyama, Tetsuro; Gramm, Joshua; Ishino, Akira; Shinohara, Ayumi

    This paper describes an interactive experimental environment for autonomous soccer robots, which is a soccer field augmented by utilizing camera input and projector output. This environment, in a sense, plays an intermediate role between simulated environments and real environments. We can simulate some parts of real environments, e.g., real objects such as robots or a ball, and reflect simulated data into the real environments, e.g., to visualize the positions on the field, so as to create a situation that allows easy debugging of robot programs. The significant point compared with analogous work is that virtual objects are touchable in this system owing to projectors. We also show the portable version of our system that does not require ceiling cameras. As an application in the augmented environment, we address the learning of goalie strategies on real quadruped robots in penalty kicks. We make our robots utilize virtual balls in order to perform only quadruped locomotion in real environments, which is quite difficult to simulate accurately. Our robots autonomously learn and acquire more beneficial strategies without human intervention in our augmented environment than those in a fully simulated environment.

  2. Implementation and evaluation of a dilation and evacuation simulation training curriculum.

    PubMed

    York, Sloane L; McGaghie, William C; Kiley, Jessica; Hammond, Cassing

    2016-06-01

    To evaluate obstetrics and gynecology resident physicians' performance following a simulation curriculum on dilation and evacuation (D&E) procedures. This study included two phases: simulation curriculum development and resident physician performance evaluation following training on a D&E simulator. Trainees participated in two evaluations. Simulation training evaluated participants performing six cases on a D&E simulator, measuring procedural time and a 26-step checklist of D&E steps. The operative training portion evaluated residents' performance after training on the simulator using mastery learning techniques. Intra-operative evaluation was based on a 21-step checklist score, Objective Structured Assessment of Technical Skills (OSATS), and percentage of cases completed. Twenty-two residents participated in simulation training, demonstrating improved performance from cases one and two to cases five and six, as measured by checklist score and procedural time (p<.001 and p=.001, respectively). Of 10 participants in the operative training, all performed at least three D&Es, while seven performed at least six cases. While checklist scores did not change significantly from the first to sixth case (mean for first case: 18.3; for sixth case: 19.6; p=.593), OSATS ratings improved from case one (19.7) to case three (23.5; p=.001) and to case six (26.8; p=.005). Trainees completed approximately 71.6% of their first case (range: 21.4-100%). By case six, the six participants performed 81.2% of the case (range: 14.3-100%). D&E simulation using a newly-developed uterine model and simulation curriculum improves resident technical skills. Simulation training with mastery learning techniques transferred to high level of performance in OR using checklist. The OSATS measured skills and showed improvement in performance with subsequent cases. Implementation of a D&E simulation curriculum offers potential for improved surgical training and abortion provision. Copyright © 2016 Elsevier Inc. All rights reserved.

  3. The Impacts of Demographic Variables on Technological and Contextual Challenges of E-learning Implementation

    NASA Astrophysics Data System (ADS)

    Aldowah, Hanan; Ghazal, Samar; Naufal Umar, Irfan; Muniandy, Balakrishnan

    2017-09-01

    Information technology has achieved robust growth which has made it possible for learning to occur quickly. The rapid development of information, communication and technologies (ICT) has initiated an unparalleled transformation in universities all over the world. This development of technology and learning is offering new techniques to represent knowledge, new practices, and new global communities of learners. As a result, today’s economic and social changes force universities to try to find new learning approaches and systems. E-learning seems to be an appropriate approach in this aspect. However, the implementation of e-learning systems in universities is not an easy task because of some challenges related to context, technology, and other challenges. This paper studied the impacts of demographic data and reported the critical points for the decision makers to consider when planning and implementing e-learning in universities. A quantitative approach was used to study the effects of technological and contextual challenges on e-learning implementation in which a questionnaire was used for the data collection. According to the findings of the study, the most important challenges of the implementation of e-learning are related either to organizational (Contextual) and technological (technical) issues. The demographic variables have been found to play a direct and indirect role with the technological and contextual challenges of implementing e-learning. This paper showed that there are some significant differences in the two challenges faced by instructors in terms of the demographic variables. The result revealed that some significant differences exist between demographic variables and the two challenges of e-learning in terms of gender, age, teaching experience, ICT experience and e-learning experience. However, there is no significant difference in terms of e-learning experience. The obtained data, from such study, can provide information about what academic institutions can do before implementing e-learning to reduce and overcome the challenges in implementing e-learning in universities. So, university administrators interested in implementing e-learning should recognize the challenges that their instructors are facing and to provide the necessary policy and support to help overcome these challenges.

  4. Mobile Learning in Medical Education: Review.

    PubMed

    Walsh, Kieran

    2015-10-01

    In the past several years, mobile learning made rapid inroads into the provision of medical education. There are significant advantages associated with mobile learning. These include high access, low cost, more situated and contextual learning, convenience for the learner, continuous communication and interaction between learner and tutor and between learner and other learners, and the ability to self-assess themselves while learning. Like any other form of medical pedagogy, mobile learning has its downsides. Disadvantages of mobile learning include: inadequate technology, a risk of distraction from learning by using a device that can be used for multiple purposes, and the potential for breakdown in barriers between personal usage of the mobile device and professional or educational use. Despite these caveats, there is no question but that mobile learning offers much potential. In the future, it is likely that the strategy of mobile first, whereby providers of e-learning think of the user experience on a mobile first, will result in learners who increasingly expect that all e-learning provision will work seamlessly on a mobile device.

  5. Multi-Instance Learning Models for Automated Support of Analysts in Simulated Surveillance Environments

    NASA Technical Reports Server (NTRS)

    Birisan, Mihnea; Beling, Peter

    2011-01-01

    New generations of surveillance drones are being outfitted with numerous high definition cameras. The rapid proliferation of fielded sensors and supporting capacity for processing and displaying data will translate into ever more capable platforms, but with increased capability comes increased complexity and scale that may diminish the usefulness of such platforms to human operators. We investigate methods for alleviating strain on analysts by automatically retrieving content specific to their current task using a machine learning technique known as Multi-Instance Learning (MIL). We use MIL to create a real time model of the analysts' task and subsequently use the model to dynamically retrieve relevant content. This paper presents results from a pilot experiment in which a computer agent is assigned analyst tasks such as identifying caravanning vehicles in a simulated vehicle traffic environment. We compare agent performance between MIL aided trials and unaided trials.

  6. Asymmetries in the Control of Saccadic Eye Movements to Bifurcating Targets.

    ERIC Educational Resources Information Center

    Zeevi, Yehoshua Y.; And Others

    The examination of saccadic eye movements--rapid shifts in gaze from one visual area of interest to another--is useful in studying pilot's visual learning in flight simulator training. Saccadic eye movements are the basic oculomotor response associated with the acquisition of visual information and provide an objective measure of higher perceptual…

  7. Discovering eHealth Technology: An Innovative Interprofessional Graduate Student Learning Experience.

    PubMed

    Estes, Krista; Gilliam, Eric; Knapfel, Sarah; Lee, Chanmi; Skiba, Diane

    2016-01-01

    The use of eHealth has grown in recent years and is projected to continue to increase exponentially. In order to empower and prepare advanced practice providers to integrate eHealth into their clinical practice, curricular changes need to occur. The iTEAM grant provides a unique opportunity to prepare advanced practice disciplines to provide collaborative care using eHealth. Through the integration of a simulated telehealth using a standardized patient, Doctor of Pharmacy and Advanced Practice Registered Nursing students learned how to apply health information technology and coordinate care in an interprofessional manner. Opportunities and challenges to guide future efforts to integrate eHealth-learning experiences into the curriculum are identified.

  8. Using Technology to Meet the Challenges of Medical Education

    PubMed Central

    Guze, Phyllis A.

    2015-01-01

    Medical education is rapidly changing, influenced by many factors including the changing health care environment, the changing role of the physician, altered societal expectations, rapidly changing medical science, and the diversity of pedagogical techniques. Changes in societal expectations put patient safety in the forefront, and raises the ethical issues of learning interactions and procedures on live patients, with the long-standing teaching method of “see one, do one, teach one” no longer acceptable. The educational goals of using technology in medical education include facilitating basic knowledge acquisition, improving decision making, enhancement of perceptual variation, improving skill coordination, practicing for rare or critical events, learning team training, and improving psychomotor skills. Different technologies can address these goals. Technologies such as podcasts and videos with flipped classrooms, mobile devices with apps, video games, simulations (part-time trainers, integrated simulators, virtual reality), and wearable devices (google glass) are some of the techniques available to address the changing educational environment. This article presents how the use of technologies can provide the infrastructure and basis for addressing many of the challenges in providing medical education for the future. PMID:26330687

  9. Using Technology to Meet the Challenges of Medical Education.

    PubMed

    Guze, Phyllis A

    2015-01-01

    Medical education is rapidly changing, influenced by many factors including the changing health care environment, the changing role of the physician, altered societal expectations, rapidly changing medical science, and the diversity of pedagogical techniques. Changes in societal expectations put patient safety in the forefront, and raises the ethical issues of learning interactions and procedures on live patients, with the long-standing teaching method of "see one, do one, teach one" no longer acceptable. The educational goals of using technology in medical education include facilitating basic knowledge acquisition, improving decision making, enhancement of perceptual variation, improving skill coordination, practicing for rare or critical events, learning team training, and improving psychomotor skills. Different technologies can address these goals. Technologies such as podcasts and videos with flipped classrooms, mobile devices with apps, video games, simulations (part-time trainers, integrated simulators, virtual reality), and wearable devices (google glass) are some of the techniques available to address the changing educational environment. This article presents how the use of technologies can provide the infrastructure and basis for addressing many of the challenges in providing medical education for the future.

  10. Emotional Design Tutoring System Based on Multimodal Affective Computing Techniques

    ERIC Educational Resources Information Center

    Wang, Cheng-Hung; Lin, Hao-Chiang Koong

    2018-01-01

    In a traditional class, the role of the teacher is to teach and that of the students is to learn. However, the constant and rapid technological advancements have transformed education in numerous ways. For instance, in addition to traditional, face to face teaching, E-learning is now possible. Nevertheless, face to face teaching is unavailable in…

  11. Expansive learning in the university setting: the case for simulated clinical experience.

    PubMed

    Haigh, Jacquelyn

    2007-03-01

    This paper argues that simulated practice in the university setting is not just a second best to learning in the clinical area but one which offers the potential for deliberation and deep learning [Eraut, M., 2000. Non-formal learning, implicit learning and tacit knowledge in professional work. Journal of Educational Psychology, 70, 113-136]. The context of student learning in an undergraduate midwifery programme is analysed using human activity theory [Engeström, Y., 2001. Expansive learning at work: toward an activity theoretical reconceptualization. Journal of Education and Work, 14, 133-156]. The advantages of this approach to student learning as opposed to situated learning theory and the concept of legitimate peripheral participation [Lave, J., Wenger, E., 1991. Situated Learning: Legitimate Peripheral Participation. Cambridge University Press, New York] are discussed. An activity system changes as a result of contradictions and tensions between what it purports to produce and the views of stakeholders (multi-voicedness) as well as its historical context (Historicity of activity). A focus group with students highlights their expressed need for more simulated practice experience. The views of midwifery lecturers are sought as an alternative voice on this tension in the current programme. Qualitative differences in types of simulated experience are explored and concerns about resources are raised in the analysis. Discussion considers the value of well planned simulations in encouraging the expression of tacit understanding through a group deliberative learning process [Eraut, M., 2000. Non-formal learning, implicit learning and tacit knowledge in professional work. Journal of Educational Psychology, 70, 113-136].

  12. Role-play simulations for climate change adaptation education and engagement

    NASA Astrophysics Data System (ADS)

    Rumore, Danya; Schenk, Todd; Susskind, Lawrence

    2016-08-01

    In order to effectively adapt to climate change, public officials and other stakeholders need to rapidly enhance their understanding of local risks and their ability to collaboratively and adaptively respond to them. We argue that science-based role-play simulation exercises -- a type of 'serious game' involving face-to-face mock decision-making -- have considerable potential as education and engagement tools for enhancing readiness to adapt. Prior research suggests role-play simulations and other serious games can foster public learning and encourage collective action in public policy-making contexts. However, the effectiveness of such exercises in the context of climate change adaptation education and engagement has heretofore been underexplored. We share results from two research projects that demonstrate the effectiveness of role-play simulations in cultivating climate change adaptation literacy, enhancing collaborative capacity and facilitating social learning. Based on our findings, we suggest such exercises should be more widely embraced as part of adaptation professionals' education and engagement toolkits.

  13. Identifying and Quantifying Emergent Behavior Through System of Systems Modeling and Simulation

    DTIC Science & Technology

    2015-09-01

    42 J . SUMMARY ..............................................................................................43 III. METHODOLOGY...our research. e. Ptolemy Ptolemy is a simulation and rapid prototype environment developed at the University of California Berkely in the...simulation. J . SUMMARY This chapter describes the many works used as a basis for this research. This research used the principles of Selberg’s 2008

  14. Learning from Simple Ebooks, Online Cases or Classroom Teaching When Acquiring Complex Knowledge. A Randomized Controlled Trial in Respiratory Physiology and Pulmonology

    PubMed Central

    Worm, Bjarne Skjødt

    2013-01-01

    Background and Aims E-learning is developing fast because of the rapid increased use of smartphones, tablets and portable computers. We might not think of it as e-learning, but today many new e-books are in fact very complex electronic teaching platforms. It is generally accepted that e-learning is as effective as classroom teaching methods, but little is known about its value in relaying contents of different levels of complexity to students. We set out to investigate e-learning effects on simple recall and complex problem-solving compared to classroom teaching. Methods 63 nurses specializing in anesthesiology were evenly randomized into three groups. They were given internet-based knowledge tests before and after attending a teaching module about respiratory physiology and pulmonology. The three groups was either an e-learning group with eBook teaching material, an e-learning group with case-based teaching or a group with face-to-face case-based classroom teaching. After the module the students were required to answer a post-test. Time spent and the number of logged into the system was also measured. Results For simple recall, all methods were equally effective. For problem-solving, the eCase group achieved a comparable knowledge level to classroom teaching, while textbook learning was inferior to both (p<0.01). The textbook group also spent the least amount of time on acquiring knowledge (33 minutes, p<0.001), while the eCase group spent significantly more time on the subject (53 minutes, p<0.001) and logged into the system significantly more (2.8 vs 1.6, p<0.001). Conclusions E-learning based cases are an effective tool for teaching complex knowledge and problem-solving ability, but future studies using higher-level e-learning are encouraged.Simple recall skills, however, do not require any particular learning method. PMID:24039917

  15. Learning from simple ebooks, online cases or classroom teaching when acquiring complex knowledge. A randomized controlled trial in respiratory physiology and pulmonology.

    PubMed

    Worm, Bjarne Skjødt

    2013-01-01

    E-learning is developing fast because of the rapid increased use of smartphones, tablets and portable computers. We might not think of it as e-learning, but today many new e-books are in fact very complex electronic teaching platforms. It is generally accepted that e-learning is as effective as classroom teaching methods, but little is known about its value in relaying contents of different levels of complexity to students. We set out to investigate e-learning effects on simple recall and complex problem-solving compared to classroom teaching. 63 nurses specializing in anesthesiology were evenly randomized into three groups. They were given internet-based knowledge tests before and after attending a teaching module about respiratory physiology and pulmonology. The three groups was either an e-learning group with eBook teaching material, an e-learning group with case-based teaching or a group with face-to-face case-based classroom teaching. After the module the students were required to answer a post-test. Time spent and the number of logged into the system was also measured. For simple recall, all methods were equally effective. For problem-solving, the eCase group achieved a comparable knowledge level to classroom teaching, while textbook learning was inferior to both (p<0.01). The textbook group also spent the least amount of time on acquiring knowledge (33 minutes, p<0.001), while the eCase group spent significantly more time on the subject (53 minutes, p<0.001) and logged into the system significantly more (2.8 vs 1.6, p<0.001). E-learning based cases are an effective tool for teaching complex knowledge and problem-solving ability, but future studies using higher-level e-learning are encouraged.Simple recall skills, however, do not require any particular learning method.

  16. Quantum simulator review

    NASA Astrophysics Data System (ADS)

    Bednar, Earl; Drager, Steven L.

    2007-04-01

    Quantum information processing's objective is to utilize revolutionary computing capability based on harnessing the paradigm shift offered by quantum computing to solve classically hard and computationally challenging problems. Some of our computationally challenging problems of interest include: the capability for rapid image processing, rapid optimization of logistics, protecting information, secure distributed simulation, and massively parallel computation. Currently, one important problem with quantum information processing is that the implementation of quantum computers is difficult to realize due to poor scalability and great presence of errors. Therefore, we have supported the development of Quantum eXpress and QuIDD Pro, two quantum computer simulators running on classical computers for the development and testing of new quantum algorithms and processes. This paper examines the different methods used by these two quantum computing simulators. It reviews both simulators, highlighting each simulators background, interface, and special features. It also demonstrates the implementation of current quantum algorithms on each simulator. It concludes with summary comments on both simulators.

  17. Infant Information Processing and Family History of Specific Language Impairment: Converging Evidence for RAP Deficits from Two Paradigms

    ERIC Educational Resources Information Center

    Choudhury, Naseem; Leppanen, Paavo H. T.; Leevers, Hilary J.; Benasich, April A.

    2007-01-01

    An infant's ability to process auditory signals presented in rapid succession (i.e. rapid auditory processing abilities [RAP]) has been shown to predict differences in language outcomes in toddlers and preschool children. Early deficits in RAP abilities may serve as a behavioral marker for language-based learning disabilities. The purpose of this…

  18. Immersive Simulation in Constructivist-Based Classroom E-Learning

    ERIC Educational Resources Information Center

    McHaney, Roger; Reiter, Lauren; Reychav, Iris

    2018-01-01

    This article describes the development of a simulation-based online course combining sound pedagogy, educational technology, and real world expertise to provide university students with an immersive experience in storage management systems. The course developed in this example does more than use a simulation, the entire course is delivered using a…

  19. RFMix: A Discriminative Modeling Approach for Rapid and Robust Local-Ancestry Inference

    PubMed Central

    Maples, Brian K.; Gravel, Simon; Kenny, Eimear E.; Bustamante, Carlos D.

    2013-01-01

    Local-ancestry inference is an important step in the genetic analysis of fully sequenced human genomes. Current methods can only detect continental-level ancestry (i.e., European versus African versus Asian) accurately even when using millions of markers. Here, we present RFMix, a powerful discriminative modeling approach that is faster (∼30×) and more accurate than existing methods. We accomplish this by using a conditional random field parameterized by random forests trained on reference panels. RFMix is capable of learning from the admixed samples themselves to boost performance and autocorrect phasing errors. RFMix shows high sensitivity and specificity in simulated Hispanics/Latinos and African Americans and admixed Europeans, Africans, and Asians. Finally, we demonstrate that African Americans in HapMap contain modest (but nonzero) levels of Native American ancestry (∼0.4%). PMID:23910464

  20. E-learning and nursing assessment skills and knowledge - An integrative review.

    PubMed

    McDonald, Ewan W; Boulton, Jessica L; Davis, Jacqueline L

    2018-07-01

    This review examines the current evidence on the effectiveness of digital technologies or e-based learning for enhancing the skills and knowledge of nursing students in nursing assessment. This integrative review identifies themes emerging from e-learning and 'nursing assessment' literature. Literature reviews have been undertaken in relation to digital learning and nursing education, including clinical skills, clinical case studies and the nurse-educator role. Whilst perceptions of digital learning are well covered, a gap in knowledge persists for understanding the effectiveness of e-learning on nursing assessment skills and knowledge. This is important as comprehensive assessment skills and knowledge are a key competency for newly qualified nurses. The MEDLINE, CINAHL, Cochrane Library and ProQuest Nursing and Allied Health Source electronic databases were searched for the period 2006 to 2016. Hand searching in bibliographies was also undertaken. Selection criteria for this review included: FINDINGS: Twenty articles met the selection criteria for this review, and five major themes for e-based learning were identified (a) students become self-evaluators; (b) blend and scaffold learning; (c) measurement of clinical reasoning; (d) mobile technology and Facebook are effective; and (e) training and preparation is vital. Although e-based learning programs provide a flexible teaching method, evidence suggests e-based learning alone does not exceed face-to-face patient simulation. This is particularly the case where nursing assessment learning is not scaffolded. This review demonstrates that e-based learning and traditional teaching methods used in conjunction with each other create a superior learning style. Copyright © 2018 Elsevier Ltd. All rights reserved.

  1. An activity theory perspective of how scenario-based simulations support learning: a descriptive analysis.

    PubMed

    Battista, Alexis

    2017-01-01

    The dominant frameworks for describing how simulations support learning emphasize increasing access to structured practice and the provision of feedback which are commonly associated with skills-based simulations. By contrast, studies examining student participants' experiences during scenario-based simulations suggest that learning may also occur through participation. However, studies directly examining student participation during scenario-based simulations are limited. This study examined the types of activities student participants engaged in during scenario-based simulations and then analyzed their patterns of activity to consider how participation may support learning. Drawing from Engeström's first-, second-, and third-generation activity systems analysis, an in-depth descriptive analysis was conducted. The study drew from multiple qualitative methods, namely narrative, video, and activity systems analysis, to examine student participants' activities and interaction patterns across four video-recorded simulations depicting common motivations for using scenario-based simulations (e.g., communication, critical patient management). The activity systems analysis revealed that student participants' activities encompassed three clinically relevant categories, including (a) use of physical clinical tools and artifacts, (b) social interactions, and (c) performance of structured interventions. Role assignment influenced participants' activities and the complexity of their engagement. Importantly, participants made sense of the clinical situation presented in the scenario by reflexively linking these three activities together. Specifically, student participants performed structured interventions, relying upon the use of physical tools, clinical artifacts, and social interactions together with interactions between students, standardized patients, and other simulated participants to achieve their goals. When multiple student participants were present, such as in a team-based scenario, they distributed the workload to achieve their goals. The findings suggest that student participants learned as they engaged in these scenario-based simulations when they worked to make sense of the patient's clinical presentation. The findings may provide insight into how student participants' meaning-making efforts are mediated by the cultural artifacts (e.g., physical clinical tools) they access, the social interactions they engage in, the structured interventions they perform, and the roles they are assigned. The findings also highlight the complex and emergent properties of scenario-based simulations as well as how activities are nested. Implications for learning, instructional design, and assessment are discussed.

  2. E-learning in pediatric basic life support: a randomized controlled non-inferiority study.

    PubMed

    Krogh, Lise Qvirin; Bjørnshave, Katrine; Vestergaard, Lone Due; Sharma, Maja Bendtsen; Rasmussen, Stinne Eika; Nielsen, Henrik Vendelbo; Thim, Troels; Løfgren, Bo

    2015-05-01

    Dissemination of pediatric basic life support (PBLS) skills is recommended. E-learning is accessible and cost-effective, but it is currently unknown whether laypersons can learn PBLS through e-learning. The hypothesis of this study was to investigate whether e-learning PBLS is non-inferior to instructor-led training. Participants were recruited among child-minders and parents of children aged 0-6 years. Participants were randomized to either 2-h instructor-led training or e-learning using an e-learning program (duration 17 min) including an inflatable manikin. After training, participants were assessed in a simulated pediatric cardiac arrest scenario. Tests were video recorded and PBLS skills were assessed independently by two assessors blinded to training method. Primary outcome was the pass rate of the PBLS test (≥8 of 15 skills adequately performed) with a pre-specified non-inferiority margin of 20%. In total 160 participants were randomized 1:1. E-learning was non-inferior to instructor-led training (difference in pass rate -4%; 95% CI -9:0.5). Pass rates were 100% among instructor-led trained (n=67) and 96% among e-learned (n=71). E-learners median time spent on the e-learning program was 30 min (range: 15-120 min) and the median number of log-ons was 2 (range: 1-5). After the study, all participants felt that their skills had improved. E-learning PBLS is non-inferior to instructor-led training among child-minders and parents with children aged 0-6 years, although the pass rate was 4% (95% CI -9:0.5) lower with e-learning. Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.

  3. Nursing education innovation: using e-learning technology to meet learners' needs.

    PubMed

    Wahl, Stacy E; Latayan, Monica B

    2011-11-01

    Globalization, rapid advances in health care and research, and evidence-based practice challenge organizations to meet the continuing education needs of their professional staff while functioning within the confines of economic cutbacks. This column describes an innovative way technology was used to offer asynchronous learning to all members of one organization's nursing staff. Copyright 2011, SLACK Incorporated.

  4. Factors Contributing to Perceptions of Southeast Asian Learners Regarding Satisfaction and Quality in Online Education

    ERIC Educational Resources Information Center

    Nong, Truong Duy

    2013-01-01

    Online learning, or e-learning, has become popular and grown rapidly in the past few decades, especially in higher education. In 2007, 66% of postsecondary degree-granting institutions in the United States reported offering online education. With advances in technology and the Internet, online education has the potential to reach a diverse group…

  5. Rapid hiv testing in urban outreach: a strategy for improving posttest counseling rates.

    PubMed

    Keenan, P A; Keenan, J M

    2001-12-01

    In 1998, 48% of persons who had HIV testing at publicly funded sites in the United States failed to return for test results and posttest counseling. Opportunities for timely HIV therapy were lost; valuable resources were wasted. This study tested the hypothesis that rapid HIV testing enables a high percentage of high-risk outreach clients to learn their serostatus. We did on-site counseling and rapid HIV testing at community-based organizations (e.g., chemical dependency programs, homeless shelters) in North Minneapolis. The project tested 735 persons. All but one (99.9%) learned their HIV serostatus. African Americans made up 79% of subjects. Rapid testing has a role to play in HIV outreach. It is useful in populations who are at high risk of HIV infection, who currently are not accessing HIV testing, and who have high failure to return rates. Future developments in rapid testing technology will make this testing option more convenient and cost-effective.

  6. Designing and Publication of Interactive E-Book for Students of Princess Nourah Bint Abdulrahman University: An Empirical Study

    ERIC Educational Resources Information Center

    Alshaya, Hessah; Oyaid, Afnan

    2017-01-01

    The present study aims to keep pace with the rapid developments in the field of e-learning which includes the widespread use of e-books. Therefore, the authors conducted a pilot study on (55) faculty members from various disciplines, they assured the importance of e-books in education and the need for them. Accordingly, the authors designed and…

  7. Servant-Leadership: The Online Way! E-Learning Where Community Building Is Key

    ERIC Educational Resources Information Center

    van de Bunt-Kokhuis, Sylvia; Sultan, Nabil

    2012-01-01

    The digitalisation of educational communities has increased rapidly in the last decade. Modern technologies transform the way educational leaders such as teachers, tutors, deans and supervisors view and manage their educational communities. More often, educational leaders offer a variety of gateways, guiding the e-learners in their search for…

  8. Grounding theories of W(e)Learn: a framework for online interprofessional education.

    PubMed

    Casimiro, Lynn; MacDonald, Colla J; Thompson, Terrie Lynn; Stodel, Emma J

    2009-07-01

    Interprofessional care (IPC) is a prerequisite for enhanced communication between healthcare team members, improved quality of care, and better outcomes for patients. A move to an IPC model requires changing the learning experiences of healthcare providers during and after their qualification program. With the rapid growth of online and blended approaches to learning, an educational framework that explains how to construct quality learning events to provide IPC is pressing. Such a framework would offer a quality standard to help educators design, develop, deliver, and evaluate online interprofessional education (IPE) programs. IPE is an extremely delicate process due to issues related to knowledge, status, power, accountability, personality traits, and culture that surround IPC. In this paper, a review of the pertinent literature that would inform the development of such a framework is presented. The review covers IPC, IPE, learning theories, and eLearning in healthcare.

  9. Social learning among Congo Basin hunter–gatherers

    PubMed Central

    Hewlett, Barry S.; Fouts, Hillary N.; Boyette, Adam H.; Hewlett, Bonnie L.

    2011-01-01

    This paper explores childhood social learning among Aka and Bofi hunter–gatherers in Central Africa. Existing literature suggests that hunter–gatherer social learning is primarily vertical (parent-to-child) and that teaching is rare. We use behavioural observations, open-ended and semi-structured interviews, and informal and anecdotal observations to examine the modes (e.g. vertical versus horizontal/oblique) and processes (e.g. teaching versus observation and imitation) of cultural transmission. Cultural and demographic contexts of social learning associated with the modes and processes of cultural transmission are described. Hunter–gatherer social learning occurred early, was relatively rapid, primarily vertical under age 5 and oblique and horizontal between the ages of 6 and 12. Pedagogy and other forms of teaching existed as early as 12 months of age, but were relatively infrequent by comparison to other processes of social learning such as observation and imitation. PMID:21357239

  10. Creating Turbulent Flow Realizations with Generative Adversarial Networks

    NASA Astrophysics Data System (ADS)

    King, Ryan; Graf, Peter; Chertkov, Michael

    2017-11-01

    Generating valid inflow conditions is a crucial, yet computationally expensive, step in unsteady turbulent flow simulations. We demonstrate a new technique for rapid generation of turbulent inflow realizations that leverages recent advances in machine learning for image generation using a deep convolutional generative adversarial network (DCGAN). The DCGAN is an unsupervised machine learning technique consisting of two competing neural networks that are trained against each other using backpropagation. One network, the generator, tries to produce samples from the true distribution of states, while the discriminator tries to distinguish between true and synthetic samples. We present results from a fully-trained DCGAN that is able to rapidly draw random samples from the full distribution of possible inflow states without needing to solve the Navier-Stokes equations, eliminating the costly process of spinning up inflow turbulence. This suggests a new paradigm in physics informed machine learning where the turbulence physics can be encoded in either the discriminator or generator. Finally, we also propose additional applications such as feature identification and subgrid scale modeling.

  11. Rapid instructed task learning: A new window into the human brain’s unique capacity for flexible cognitive control

    PubMed Central

    Cole, Michael W.; Laurent, Patryk; Stocco, Andrea

    2012-01-01

    The human ability to flexibly adapt to novel circumstances is extraordinary. Perhaps the most illustrative yet underappreciated form of this cognitive flexibility is rapid instructed task learning (RITL) – the ability to rapidly reconfigure our minds to perform new tasks from instruction. This ability is important for everyday life (e.g., learning to use new technologies), and is used to instruct participants in nearly every study of human cognition. We review the development of RITL as a circumscribed domain of cognitive neuroscience investigation, culminating in recent demonstrations that RITL is implemented via brain circuits centered on lateral prefrontal cortex. We then build on this and other insights to develop an integrative theory of cognitive flexibility and cognitive control, identifying theoretical principles and mechanisms that may make RITL possible in the human brain. Insights gained from this new theoretical account have important implications for further developments and applications of RITL research. PMID:23065743

  12. Multidisciplinary obstetric simulated emergency scenarios (MOSES): promoting patient safety in obstetrics with teamwork-focused interprofessional simulations.

    PubMed

    Freeth, Della; Ayida, Gubby; Berridge, Emma Jane; Mackintosh, Nicola; Norris, Beverley; Sadler, Chris; Strachan, Alasdair

    2009-01-01

    We describe an example of simulation-based interprofessional continuing education, the multidisciplinary obstetric simulated emergency scenarios (MOSES) course, which was designed to enhance nontechnical skills among obstetric teams and, hence, improve patient safety. Participants' perceptions of MOSES courses, their learning, and the transfer of learning to clinical practice were examined. Participants included senior midwives, obstetricians, and obstetric anesthetists, including course faculty from 4 purposively selected delivery suites in England. Telephone or e-mail interviews with MOSES course participants and facilitators were conducted, and video-recorded debriefings that formed integral parts of this 1-day course were analyzed. The team training was well received. Participants were able to check out assumptions and expectations of others and develop respect for different roles within the delivery suite (DS) team. Skillful facilitation of debriefing after each scenario was central to learning. Participants reported acquiring new knowledge or insights, particularly concerning the role of communication and leadership in crisis situations, and they rehearsed unfamiliar skills. Observing peers working in the simulations increased participants' learning by highlighting alternative strategies. The learning achieved by individuals and groups was noticeably dependent on their starting points. Some participants identified limited changes in their behavior in the workplace following the MOSES course. Mechanisms to manage the transfer of learning to the wider team were weakly developed, although 2 DS teams made changes to their regular update training. Interprofessional, team-based simulations promote new learning.

  13. Interactive simulator for e-Learning environments: a teaching software for health care professionals.

    PubMed

    De Lazzari, Claudio; Genuini, Igino; Pisanelli, Domenico M; D'Ambrosi, Alessandra; Fedele, Francesco

    2014-12-18

    There is an established tradition of cardiovascular simulation tools, but the application of this kind of technology in the e-Learning arena is a novel approach. This paper presents an e-Learning environment aimed at teaching the interaction of cardiovascular and lung systems to health-care professionals. Heart-lung interaction must be analyzed while assisting patients with severe respiratory problems or with heart failure in intensive care unit. Such patients can be assisted by mechanical ventilatory assistance or by thoracic artificial lung."In silico" cardiovascular simulator was experimented during a training course given to graduate students of the School of Specialization in Cardiology at 'Sapienza' University in Rome.The training course employed CARDIOSIM©: a numerical simulator of the cardiovascular system. Such simulator is able to reproduce pathophysiological conditions of patients affected by cardiovascular and/or lung disease. In order to study the interactions among the cardiovascular system, the natural lung and the thoracic artificial lung (TAL), the numerical model of this device has been implemented. After having reproduced a patient's pathological condition, TAL model was applied in parallel and hybrid model during the training course.Results obtained during the training course show that TAL parallel assistance reduces right ventricular end systolic (diastolic) volume, but increases left ventricular end systolic (diastolic) volume. The percentage changes induced by hybrid TAL assistance on haemodynamic variables are lower than those produced by parallel assistance. Only in the case of the mean pulmonary arterial pressure, there is a percentage reduction which, in case of hybrid assistance, is greater (about 40%) than in case of parallel assistance (20-30%).At the end of the course, a short questionnaire was submitted to students in order to assess the quality of the course. The feedback obtained was positive, showing good results with respect to the degree of students' learning and the ease of use of the software simulator.

  14. Negotiating the Paris Agreement with the C-Learn Climate Simulator in an Interdisciplinary Undergraduate Climate Change Course

    NASA Astrophysics Data System (ADS)

    Straub, K. H.

    2016-12-01

    I teach an interdisciplinary course on modern climate change that attracts students from a variety of academic backgrounds. The class size is typically 20-25 students. The final exercise of the semester is an in-class simulation of the Paris Agreement negotiations, which integrates all of the topics the students have studied throughout the semester (science, politics, skeptic arguments, ethics, economics, etc.). For this exercise, we use the free online C-Learn climate simulator (https://www.climateinteractive.org/tools/c-learn/), but with several modifications from the suggested negotiation methodology. All but two students were assigned an individual country to represent within the larger groups "Developed," (e.g., US, EU, Australia), "Developing A" (e.g., China, India, Indonesia), and "Developing B" (e.g., Maldives, Haiti, Botswana). The remaining two students were assigned the roles of "Exxon Mobil" and "Greenpeace," to represent external lobbyists. Prior to the in-class negotiation, students completed an assignment on their individual role that required them to research their country's actual INDC and the projected impacts of a 2 degree C rise in average global temperature, as well as create "behavior rules" for their country to follow during the simulation. Lobbyists were given modified assignments. To make the simulation more complex and realistic, I assigned each actor an initial sum of money and created rules about the cost of emissions reductions. The goal of the simulation was to create an affordable timeline of emissions that kept the global temperature rise to less than 2 degrees C. Suggested emissions timelines were entered into the C-Learn online simulator during the activity to check progress toward the goal. Student feedback about the simulation was very positive. I had planned only one class period for the negotiations but students were so engaged that they asked for it to be extended into a second period. This exercise could easily be adapted to smaller or larger class sizes, and modified based on the knowledge base and experience level of the students.

  15. Phonological Awareness and Rapid Automatized Naming Predicting Early Development in Reading and Spelling: Results from a Cross-Linguistic Longitudinal Study

    ERIC Educational Resources Information Center

    Furnes, Bjarte; Samuelsson, Stefan

    2011-01-01

    In this study, the relationship between latent constructs of phonological awareness (PA) and rapid automatized naming (RAN) was investigated and related to later measures of reading and spelling in children learning to read in different alphabetic writing systems (i.e., Norwegian/Swedish vs. English). 750 U.S./Australian children and 230…

  16. A cognitive perspective on technology enhanced learning in medical training: great opportunities, pitfalls and challenges.

    PubMed

    Dror, Itiel; Schmidt, Pascal; O'connor, Lanty

    2011-01-01

    As new technology becomes available and is used for educational purposes, educators often take existing training and simply transcribe it into the new technological medium. However, when technology drives e-learning rather than the learner and the learning, and when it uses designs and approaches that were not originally built for e-learning, then often technology does not enhance the learning (it may even be detrimental to it). The success of e-learning depends on it being 'brain friendly', on engaging the learners from an understanding of how the cognitive system works. This enables educators to optimize learning by achieving correct mental representations that will be remembered and applied in practice. Such technology enhanced learning (TEL) involves developing and using novel approaches grounded in cognitive neuroscience; for example, gaming and simulations that distort realism rather than emphasizing visual fidelity and realism, making videos interactive, training for 'error recovery' rather than for 'error reduction', and a whole range of practical ways that result in effective TEL. These are a result of e-learning that is built to fit and support the cognitive system, and therefore optimize the learning.

  17. E-learning for assistive technology professionals--a review of the TELEMATE project.

    PubMed

    Turner-Smith, Alan; Devlin, Aisling

    2005-09-01

    The Telematic Multidisciplinary Assistive Technology Education project (TELEMATE) was conducted during 1998-2001 by a consortium of seven European organisations involved in rehabilitation engineering and education. Assistive technology professionals work in a rapidly developing field but are few in number and widely dispersed, therefore, electronic delivery of their education is particularly advantageous. TELEMATE took existing concepts and standards in education to create and test an e-learning framework. As well as providing an appropriate learning environment, the aim was to share teaching resources and encourage a sound and consistent understanding of assistive technology across the European Union. This paper explores work carried out and the subsequent outcomes of the project.

  18. Inquiry style interactive virtual experiments: a case on circular motion

    NASA Astrophysics Data System (ADS)

    Zhou, Shaona; Han, Jing; Pelz, Nathaniel; Wang, Xiaojun; Peng, Liangyu; Xiao, Hua; Bao, Lei

    2011-11-01

    Interest in computer-based learning, especially in the use of virtual reality simulations is increasing rapidly. While there are good reasons to believe that technologies have the potential to improve teaching and learning, how to utilize the technology effectively in teaching specific content difficulties is challenging. To help students develop robust understandings of correct physics concepts, we have developed interactive virtual experiment simulations that have the unique feature of enabling students to experience force and motion via an analogue joystick, allowing them to feel the applied force and simultaneously see its effects. The simulations provide students learning experiences that integrate both scientific representations and low-level sensory cues such as haptic cues under a single setting. In this paper, we introduce a virtual experiment module on circular motion. A controlled study has been conducted to evaluate the impact of using this virtual experiment on students' learning of force and motion in the context of circular motion. The results show that the interactive virtual experiment method is preferred by students and is more effective in helping students grasp the physics concepts than the traditional education method such as problem-solving practices. Our research suggests that well-developed interactive virtual experiments can be useful tools in teaching difficult concepts in science.

  19. Blended learning in surgery using the Inmedea Simulator.

    PubMed

    Funke, Katrin; Bonrath, Esther; Mardin, Wolf Arif; Becker, Jan Carl; Haier, Joerg; Senninger, Norbert; Vowinkel, Thorsten; Hoelzen, Jens Peter; Mees, Soeren Torge

    2013-02-01

    Recently, medical education in surgery has experienced several modifications. We have implemented a blended learning module in our teaching curriculum to evaluate its effectiveness, applicability, and acceptance in surgical education. In this prospective study, the traditional face-to-face learning of our teaching curriculum for fourth-year medical students (n = 116) was augmented by the Inmedea Simulator, a web-based E-learning system, with six virtual patient cases. Student results were documented by the system and learning success was determined by comparing patient cases with comparable diseases (second and sixth case). The acceptance among the students was evaluated with a questionnaire. After using the Inmedea Simulator, correct diagnoses were found significantly (P < 0.05) more often, while an incomplete diagnostic was seen significantly (P < 0.05) less often. Significant overall improvement (P < 0.05) was seen in sixth case (62.3 ± 5.6 %) vs. second case (53.9 ± 5.6 %). The questionnaire revealed that our students enjoyed the surgical seminar (score 2.1 ± 1.5) and preferred blended learning (score 2.5 ± 1.2) to conventional teaching. The blended learning approach using the Inmedea Simulator was highly appreciated by our medical students and resulted in a significant learning success. Blended learning appears to be a suitable tool to complement traditional teaching in surgery.

  20. Using variability to guide dimensional weighting: Associative mechanisms in early word learning

    PubMed Central

    Apfelbaum, Keith S.; McMurray, Bob

    2013-01-01

    At 14 months, children appear to struggle to apply their fairly well developed speech perception abilities to learning similar sounding words (e.g. bih/dih; Stager & Werker, 1997). However, variability in non-phonetic aspects of the training stimuli seems to aid word learning at this age. Extant theories of early word learning cannot account for this benefit of variability. We offer a simple explanation for this range of effects based on associative learning. Simulations suggest that if infants encode both non-contrastive information (e.g. cues to speaker voice) and meaningful linguistic cues (e.g. place of articulation or voicing), then associative learning mechanisms predict these variability effects in early word learning. Crucially, this means that despite the importance of task variables in predicting performance, this body of work shows that phonological categories are still developing in this age, and that the structure of non-informative cues has critical influences on word learning abilities. PMID:21609356

  1. E-learning in medical education in resource constrained low- and middle-income countries.

    PubMed

    Frehywot, Seble; Vovides, Yianna; Talib, Zohray; Mikhail, Nadia; Ross, Heather; Wohltjen, Hannah; Bedada, Selam; Korhumel, Kristine; Koumare, Abdel Karim; Scott, James

    2013-02-04

    In the face of severe faculty shortages in resource-constrained countries, medical schools look to e-learning for improved access to medical education. This paper summarizes the literature on e-learning in low- and middle-income countries (LMIC), and presents the spectrum of tools and strategies used. Researchers reviewed literature using terms related to e-learning and pre-service education of health professionals in LMIC. Search terms were connected using the Boolean Operators "AND" and "OR" to capture all relevant article suggestions. Using standard decision criteria, reviewers narrowed the article suggestions to a final 124 relevant articles. Of the relevant articles found, most referred to e-learning in Brazil (14 articles), India (14), Egypt (10) and South Africa (10). While e-learning has been used by a variety of health workers in LMICs, the majority (58%) reported on physician training, while 24% focused on nursing, pharmacy and dentistry training. Although reasons for investing in e-learning varied, expanded access to education was at the core of e-learning implementation which included providing supplementary tools to support faculty in their teaching, expanding the pool of faculty by connecting to partner and/or community teaching sites, and sharing of digital resources for use by students. E-learning in medical education takes many forms. Blended learning approaches were the most common methodology presented (49 articles) of which computer-assisted learning (CAL) comprised the majority (45 articles). Other approaches included simulations and the use of multimedia software (20 articles), web-based learning (14 articles), and eTutor/eMentor programs (3 articles). Of the 69 articles that evaluated the effectiveness of e-learning tools, 35 studies compared outcomes between e-learning and other approaches, while 34 studies qualitatively analyzed student and faculty attitudes toward e-learning modalities. E-learning in medical education is a means to an end, rather than the end in itself. Utilizing e-learning can result in greater educational opportunities for students while simultaneously enhancing faculty effectiveness and efficiency. However, this potential of e-learning assumes a certain level of institutional readiness in human and infrastructural resources that is not always present in LMICs. Institutional readiness for e-learning adoption ensures the alignment of new tools to the educational and economic context.

  2. E-learning in medical education in resource constrained low- and middle-income countries

    PubMed Central

    2013-01-01

    Background In the face of severe faculty shortages in resource-constrained countries, medical schools look to e-learning for improved access to medical education. This paper summarizes the literature on e-learning in low- and middle-income countries (LMIC), and presents the spectrum of tools and strategies used. Methods Researchers reviewed literature using terms related to e-learning and pre-service education of health professionals in LMIC. Search terms were connected using the Boolean Operators “AND” and “OR” to capture all relevant article suggestions. Using standard decision criteria, reviewers narrowed the article suggestions to a final 124 relevant articles. Results Of the relevant articles found, most referred to e-learning in Brazil (14 articles), India (14), Egypt (10) and South Africa (10). While e-learning has been used by a variety of health workers in LMICs, the majority (58%) reported on physician training, while 24% focused on nursing, pharmacy and dentistry training. Although reasons for investing in e-learning varied, expanded access to education was at the core of e-learning implementation which included providing supplementary tools to support faculty in their teaching, expanding the pool of faculty by connecting to partner and/or community teaching sites, and sharing of digital resources for use by students. E-learning in medical education takes many forms. Blended learning approaches were the most common methodology presented (49 articles) of which computer-assisted learning (CAL) comprised the majority (45 articles). Other approaches included simulations and the use of multimedia software (20 articles), web-based learning (14 articles), and eTutor/eMentor programs (3 articles). Of the 69 articles that evaluated the effectiveness of e-learning tools, 35 studies compared outcomes between e-learning and other approaches, while 34 studies qualitatively analyzed student and faculty attitudes toward e-learning modalities. Conclusions E-learning in medical education is a means to an end, rather than the end in itself. Utilizing e-learning can result in greater educational opportunities for students while simultaneously enhancing faculty effectiveness and efficiency. However, this potential of e-learning assumes a certain level of institutional readiness in human and infrastructural resources that is not always present in LMICs. Institutional readiness for e-learning adoption ensures the alignment of new tools to the educational and economic context. PMID:23379467

  3. Outcomes from the Delphi process of the Thoracic Robotic Curriculum Development Committee.

    PubMed

    Veronesi, Giulia; Dorn, Patrick; Dunning, Joel; Cardillo, Giuseppe; Schmid, Ralph A; Collins, Justin; Baste, Jean-Marc; Limmer, Stefan; Shahin, Ghada M M; Egberts, Jan-Hendrik; Pardolesi, Alessandro; Meacci, Elisa; Stamenkovic, Sasha; Casali, Gianluca; Rueckert, Jens C; Taurchini, Mauro; Santelmo, Nicola; Melfi, Franca; Toker, Alper

    2018-06-01

    As the adoption of robotic procedures becomes more widespread, additional risk related to the learning curve can be expected. This article reports the results of a Delphi process to define procedures to optimize robotic training of thoracic surgeons and to promote safe performance of established robotic interventions as, for example, lung cancer and thymoma surgery. In June 2016, a working panel was spontaneously created by members of the European Society of Thoracic Surgeons (ESTS) and European Association for Cardio-Thoracic Surgery (EACTS) with a specialist interest in robotic thoracic surgery and/or surgical training. An e-consensus-finding exercise using the Delphi methodology was applied requiring 80% agreement to reach consensus on each question. Repeated iterations of anonymous voting continued over 3 rounds. Agreement was reached on many points: a standardized robotic training curriculum for robotic thoracic surgery should be divided into clearly defined sections as a staged learning pathway; the basic robotic curriculum should include a baseline evaluation, an e-learning module, a simulation-based training (including virtual reality simulation, Dry lab and Wet lab) and a robotic theatre (bedside) observation. Advanced robotic training should include e-learning on index procedures (right upper lobe) with video demonstration, access to video library of robotic procedures, simulation training, modular console training to index procedure, transition to full-procedure training with a proctor and final evaluation of the submitted video to certified independent examiners. Agreement was reached on a large number of questions to optimize and standardize training and education of thoracic surgeons in robotic activity. The production of the content of the learning material is ongoing.

  4. Preoperative planning with three-dimensional reconstruction of patient's anatomy, rapid prototyping and simulation for endoscopic mitral valve repair.

    PubMed

    Sardari Nia, Peyman; Heuts, Samuel; Daemen, Jean; Luyten, Peter; Vainer, Jindrich; Hoorntje, Jan; Cheriex, Emile; Maessen, Jos

    2017-02-01

    Mitral valve repair performed by an experienced surgeon is superior to mitral valve replacement for degenerative mitral valve disease; however, many surgeons are still deterred from adapting this procedure because of a steep learning curve. Simulation-based training and planning could improve the surgical performance and reduce the learning curve. The aim of this study was to develop a patient-specific simulation for mitral valve repair and provide a proof of concept of personalized medicine in a patient prospectively planned for mitral valve surgery. A 65-year old male with severe symptomatic mitral valve regurgitation was referred to our mitral valve heart team. On the basis of three-dimensional (3D) transoesophageal echocardiography and computed tomography, 3D reconstructions of the patient's anatomy were constructed. By navigating through these reconstructions, the repair options and surgical access were chosen (minimally invasive repair). Using rapid prototyping and negative mould fabrication, we developed a process to cast a patient-specific mitral valve silicone replica for preoperative repair in a high-fidelity simulator. Mitral valve and negative mould were printed in systole to capture the pathology when the valve closes. A patient-specific mitral valve silicone replica was casted and mounted in the simulator. All repair techniques could be performed in the simulator to choose the best repair strategy. As the valve was printed in systole, no special testing other than adjusting the coaptation area was required. Subsequently, the patient was operated, mitral valve pathology was validated and repair was successfully done as in the simulation. The patient-specific simulation and planning could be applied for surgical training, starting the (minimally invasive) mitral valve repair programme, planning of complex cases and the evaluation of new interventional techniques. The personalized medicine could be a possible pathway towards enhancing reproducibility, patient's safety and effectiveness of a complex surgical procedure. © The Author 2016. Published by Oxford University Press on behalf of the European Association for Cardio-Thoracic Surgery. All rights reserved.

  5. Web-based e-learning and virtual lab of human-artificial immune system.

    PubMed

    Gong, Tao; Ding, Yongsheng; Xiong, Qin

    2014-05-01

    Human immune system is as important in keeping the body healthy as the brain in supporting the intelligence. However, the traditional models of the human immune system are built on the mathematics equations, which are not easy for students to understand. To help the students to understand the immune systems, a web-based e-learning approach with virtual lab is designed for the intelligent system control course by using new intelligent educational technology. Comparing the traditional graduate educational model within the classroom, the web-based e-learning with the virtual lab shows the higher inspiration in guiding the graduate students to think independently and innovatively, as the students said. It has been found that this web-based immune e-learning system with the online virtual lab is useful for teaching the graduate students to understand the immune systems in an easier way and design their simulations more creatively and cooperatively. The teaching practice shows that the optimum web-based e-learning system can be used to increase the learning effectiveness of the students.

  6. Automated Knowledge Discovery From Simulators

    NASA Technical Reports Server (NTRS)

    Burl, Michael; DeCoste, Dennis; Mazzoni, Dominic; Scharenbroich, Lucas; Enke, Brian; Merline, William

    2007-01-01

    A computational method, SimLearn, has been devised to facilitate efficient knowledge discovery from simulators. Simulators are complex computer programs used in science and engineering to model diverse phenomena such as fluid flow, gravitational interactions, coupled mechanical systems, and nuclear, chemical, and biological processes. SimLearn uses active-learning techniques to efficiently address the "landscape characterization problem." In particular, SimLearn tries to determine which regions in "input space" lead to a given output from the simulator, where "input space" refers to an abstraction of all the variables going into the simulator, e.g., initial conditions, parameters, and interaction equations. Landscape characterization can be viewed as an attempt to invert the forward mapping of the simulator and recover the inputs that produce a particular output. Given that a single simulation run can take days or weeks to complete even on a large computing cluster, SimLearn attempts to reduce costs by reducing the number of simulations needed to effect discoveries. Unlike conventional data-mining methods that are applied to static predefined datasets, SimLearn involves an iterative process in which a most informative dataset is constructed dynamically by using the simulator as an oracle. On each iteration, the algorithm models the knowledge it has gained through previous simulation trials and then chooses which simulation trials to run next. Running these trials through the simulator produces new data in the form of input-output pairs. The overall process is embodied in an algorithm that combines support vector machines (SVMs) with active learning. SVMs use learning from examples (the examples are the input-output pairs generated by running the simulator) and a principle called maximum margin to derive predictors that generalize well to new inputs. In SimLearn, the SVM plays the role of modeling the knowledge that has been gained through previous simulation trials. Active learning is used to determine which new input points would be most informative if their output were known. The selected input points are run through the simulator to generate new information that can be used to refine the SVM. The process is then repeated. SimLearn carefully balances exploration (semi-randomly searching around the input space) versus exploitation (using the current state of knowledge to conduct a tightly focused search). During each iteration, SimLearn uses not one, but an ensemble of SVMs. Each SVM in the ensemble is characterized by different hyper-parameters that control various aspects of the learned predictor - for example, whether the predictor is constrained to be very smooth (nearby points in input space lead to similar output predictions) or whether the predictor is allowed to be "bumpy." The various SVMs will have different preferences about which input points they would like to run through the simulator next. SimLearn includes a formal mechanism for balancing the ensemble SVM preferences so that a single choice can be made for the next set of trials.

  7. Beyond Effectiveness: A Pragmatic Evaluation Framework for Learning and Continuous Quality Improvement of e-Learning Interventions in Healthcare.

    PubMed

    Dafalla, Tarig Dafalla Mohamed; Kushniruk, Andre W; Borycki, Elizabeth M

    2015-01-01

    A pragmatic evaluation framework for evaluating the usability and usefulness of an e-learning intervention for a patient clinical information scheduling system is presented in this paper. The framework was conceptualized based on two different but related concepts (usability and usefulness) and selection of appropriate and valid methods of data collection and analysis that included: (1) Low-Cost Rapid Usability Engineering (LCRUE), (2) Cognitive Task Analysis (CTA), (3) Heuristic Evaluation (HE) criteria for web-based learning, and (4) Software Usability Measurement Inventory (SUMI). The results of the analysis showed some areas where usability that were related to General Interface Usability (GIU), instructional design and content was problematic; some of which might account for the poorly rated aspects of usability when subjectively measured. This paper shows that using a pragmatic framework can be a useful way, not only for measuring the usability and usefulness, but also for providing a practical objective evidences for learning and continuous quality improvement of e-learning systems. The findings should be of interest to educators, developers, designers, researchers, and usability practitioners involved in the development of e-learning systems in healthcare. This framework could be an appropriate method for assessing the usability, usefulness and safety of health information systems both in the laboratory and in the clinical context.

  8. Fast Back-Propagation Learning Using Steep Activation Functions and Automatic Weight

    Treesearch

    Tai-Hoon Cho; Richard W. Conners; Philip A. Araman

    1992-01-01

    In this paper, several back-propagation (BP) learning speed-up algorithms that employ the ãgainä parameter, i.e., steepness of the activation function, are examined. Simulations will show that increasing the gain seemingly increases the speed of convergence and that these algorithms can converge faster than the standard BP learning algorithm on some problems. However,...

  9. Blended E-learning in a Web-based virtual hospital: a useful tool for undergraduate education in urology.

    PubMed

    Horstmann, M; Renninger, M; Hennenlotter, J; Horstmann, C C; Stenzl, A

    2009-08-01

    E-learning is a teaching tool used successfully in many medical subspecialties. Experience with its use in urology, however, is scarce. We present our teaching experience with the INMEDEA simulator to teach urological care to medical students. The INMEDEA simulator is an interactive e-learning system built around a virtual hospital which includes a department of urology. It allows students to solve virtual patient cases online. In this study, students were asked to prepare two urological cases prior to discussion of the cases in small groups. This blended teaching approach was evaluated by students through anonymous questionnaires. Of 70 4th year medical students 76% judged this teaching method as good or very good. Eighty-seven percent felt that it offered a good way to understand urological diseases better and 72% felt that learning with this method was fun. Nevertheless, 30 out of 70 free text statements revealed that further improvements of the program, including an easier and more comfortable navigation and a faster supply of information are necessary. Virtual patient cases offer a practicable solution for teaching based on problem solving in urology with a high acceptance rate by students.

  10. Virtual Learning Environments.

    ERIC Educational Resources Information Center

    Follows, Scott B.

    1999-01-01

    Illustrates the possibilities and educational benefits of virtual learning environments (VLEs), based on experiences with "Thirst for Knowledge," a VLE that simulates the workplace of a major company. While working in this virtual office world, students walk through the building, attend meetings, read reports, receive e-mail, answer the telephone,…

  11. Using an improved association rules mining optimization algorithm in web-based mobile-learning system

    NASA Astrophysics Data System (ADS)

    Huang, Yin; Chen, Jianhua; Xiong, Shaojun

    2009-07-01

    Mobile-Learning (M-learning) makes many learners get the advantages of both traditional learning and E-learning. Currently, Web-based Mobile-Learning Systems have created many new ways and defined new relationships between educators and learners. Association rule mining is one of the most important fields in data mining and knowledge discovery in databases. Rules explosion is a serious problem which causes great concerns, as conventional mining algorithms often produce too many rules for decision makers to digest. Since Web-based Mobile-Learning System collects vast amounts of student profile data, data mining and knowledge discovery techniques can be applied to find interesting relationships between attributes of learners, assessments, the solution strategies adopted by learners and so on. Therefore ,this paper focus on a new data-mining algorithm, combined with the advantages of genetic algorithm and simulated annealing algorithm , called ARGSA(Association rules based on an improved Genetic Simulated Annealing Algorithm), to mine the association rules. This paper first takes advantage of the Parallel Genetic Algorithm and Simulated Algorithm designed specifically for discovering association rules. Moreover, the analysis and experiment are also made to show the proposed method is superior to the Apriori algorithm in this Mobile-Learning system.

  12. M3D (Media 3D): a new programming language for web-based virtual reality in E-Learning and Edutainment

    NASA Astrophysics Data System (ADS)

    Chakaveh, Sepideh; Skaley, Detlef; Laine, Patricia; Haeger, Ralf; Maad, Soha

    2003-01-01

    Today, interactive multimedia educational systems are well established, as they prove useful instruments to enhance one's learning capabilities. Hitherto, the main difficulty with almost all E-Learning systems was latent in the rich media implementation techniques. This meant that each and every system should be created individually as reapplying the media, be it only a part, or the whole content was not directly possible, as everything must be applied mechanically i.e. by hand. Consequently making E-learning systems exceedingly expensive to generate, both in time and money terms. Media-3D or M3D is a new platform independent programming language, developed at the Fraunhofer Institute Media Communication to enable visualisation and simulation of E-Learning multimedia content. M3D is an XML-based language, which is capable of distinguishing between the3D models from that of the 3D scenes, as well as handling provisions for animations, within the programme. Here we give a technical account of M3D programming language and briefly describe two specific application scenarios where M3D is applied to create virtual reality E-Learning content for training of technical personnel.

  13. Improving pedagogic competence using an e-learning approach for pre-service mathematics teachers

    NASA Astrophysics Data System (ADS)

    Retnowati, E.; Murdiyani, N. M.; Marsigit; Sugiman; Mahmudi, A.

    2018-03-01

    This article reported a classroom action research that was aimed to improve student’s pedagogic competence during a course namely Methods of Mathematics Instruction. An asynchronous e-learning approach was provided as supplementary material to the main lecture. This e-learning consisted of selected references and educational website addresses and also facilitated online discussions about various methods of mathematics instructions. The subject was twenty-six pre-service teachers in the Department of Mathematics Education, Yogyakarta State University, Indonesia, conducted by the researchers. The research completed three cycles, where each cycle consisted of plan-action-reflection. Through observation, documentation, and interview, it was concluded that asynchronous e-learning might be used to improve pedagogic competence when direct instruction is also applied in the classroom. Direct instruction in this study provided review, explanation, scheme, and examples which could be used by students to select relevant resources in the e-learning portal. Moreover, the pedagogic competence improved after students accomplished assignments to identify aspects of pedagogic instruction either from analyzing videos in e-learning course or simulating in the classroom with direct commentaries. Supporting factors were enthusiasm, discipline, and interactions among students and lecturer that were built throughout the lectures.

  14. A Study Investigating the Effect of Treatment Developed by Integrating the 5E and Simulation on Pre-Service Science Teachers' Achievement in Photoelectric Effect

    ERIC Educational Resources Information Center

    Taslidere, Erdal

    2015-01-01

    The Current study investigated the effect of the 5E learning cycle in which the simulations were integrated on pre-service science teachers' achievement in photoelectric subject. Four sophomore level classes with their 140 students participated in the research and a quasi-experimental design was used. The classes were randomly assigned into one of…

  15. Designing Needs Statements in a Systematic Iterative Way

    ERIC Educational Resources Information Center

    Verstegen, D. M. L.; Barnard, Y. F.; Pilot, A.

    2009-01-01

    Designing specifications for technically advanced instructional products, such as e-learning, simulations or simulators requires different kinds of expertise. The SLIM method proposes to involve all stakeholders from the beginning in a series of workshops under the guidance of experienced instructional designers. These instructional designers…

  16. Comparisons of Field Tests with Simulations: Abrams Program Lessons Learned

    DTIC Science & Technology

    1990-03-01

    observed field out conme. Thiirtv-.-ixI\\ (3(-) of thle com parisons resulted in complete iuj .muatchves: thatif -. S ~u,-VSII inever )in its J000...2.REPORT DAE j3 EOTTP ~ AE OEE IMairch 1990 I-Final Jul 87 - Oct 89 4. TitE AND SUBTMTE S . PUNOING NUMBWERS (Comparisons or Field Tests with...Simulations: Abrams Program Lessons Learned 6. AUTHOR( S ) lPaul 11. lDcvtz, Jill I[. Smith. John 11. Stickling 7. PERFORMING ORGANIZATION NAME( S ) AND AIDDRESS

  17. Comparing self-guided learning and educator-guided learning formats for simulation-based clinical training.

    PubMed

    Brydges, Ryan; Carnahan, Heather; Rose, Don; Dubrowski, Adam

    2010-08-01

    In this paper, we tested the over-arching hypothesis that progressive self-guided learning offers equivalent learning benefit vs. proficiency-based training while limiting the need to set proficiency standards. We have shown that self-guided learning is enhanced when students learn on simulators that progressively increase in fidelity during practice. Proficiency-based training, a current gold-standard training approach, requires achievement of a criterion score before students advance to the next learning level. Baccalaureate nursing students (n = 15/group) practised intravenous catheterization using simulators that differed in fidelity (i.e. students' perceived realism). Data were collected in 2008. Proficiency-based students advanced from low- to mid- to high-fidelity after achieving a proficiency criterion at each level. Progressive students self-guided their progression from low- to mid- to high-fidelity. Yoked control students followed an experimenter-defined progressive practice schedule. Open-ended students moved freely between the simulators. One week after practice, blinded experts evaluated students' skill transfer on a standardized patient simulation. Group differences were examined using analyses of variance. Proficiency-based students scored highest on the high-fidelity post-test (effect size = 1.22). An interaction effect showed that the Progressive and Open-ended groups maintained their performance from post-test to transfer test, whereas the Proficiency-based and Yoked control groups experienced a significant decrease (P < 0.05). Surprisingly, most Open-ended students (73%) chose the progressive practice schedule. Progressive training and proficiency-based training resulted in equivalent transfer test performance, suggesting that progressive students effectively self-guided when to transition between simulators. Students' preference for the progressive practice schedule indicates that educators should consider this sequence for simulation-based training.

  18. Learning by Communicating in Natural Language with Conversational Agents

    ERIC Educational Resources Information Center

    Graesser, Arthur; Li, Haiying; Forsyth, Carol

    2014-01-01

    Learning is facilitated by conversational interactions both with human tutors and with computer agents that simulate human tutoring and ideal pedagogical strategies. In this article, we describe some intelligent tutoring systems (e.g., AutoTutor) in which agents interact with students in natural language while being sensitive to their cognitive…

  19. Ditching the Desks: Kinesthetic Learning in College Classrooms

    ERIC Educational Resources Information Center

    Mobley, Kayce; Fisher, Sarah

    2014-01-01

    In this article we argue that social science instructors at all levels should openly embrace kinesthetic learning as an everyday pedagogical tool. The standard model of instruction at the college level relies on lecture, perhaps with special alternative activities (e.g., simulations) scattered throughout each semester. We argue that students…

  20. D.E.E.P. Learning: Promoting Informal STEM Learning through Ocean Research Simulation Games

    NASA Astrophysics Data System (ADS)

    Simms, E.; Rohrlick, D.; Layman, C.; Peach, C. L.; Orcutt, J. A.; Keen, C. S.; Matthews, J.; Nsf Ooi-Ci Education; Public Engagement Team

    2010-12-01

    It is generally recognized that interactive digital games have the potential to promote the development of valuable learning and life skills, including data processing, decision-making, critical thinking, planning, communication and collaboration (Kirriemuir and MacFarlane, 2006). But the research and development of educational games, and the study of the educational value of interactive games in general, have lagged far behind the same efforts for games created for the purpose of entertainment. Our group is attempting to capitalize on the facts that games are now played in 67% of American households (ESA, 2010), and across a broad range of ages, by developing effective and engaging simulation games that promote Science, Technology, Engineering and Mathematics (STEM) literacy in informal science education institutions (ISEIs; e.g., aquariums, museums, science centers). In particular, we are developing games based on the popular Microsoft Xbox360 gaming platform and the free Microsoft XNA game development kit, which engage ISEI visitors in the exploration and understanding of the deep-sea environment. Known as Deep-sea Extreme Environment Pilot (D.E.E.P.), the games place players in the role of piloting a remotely-operated vehicle (ROV) to complete science-based objectives associated with the exploration of ocean observing systems and hydrothermal vent environments. In addition to creating a unique educational product, our efforts are intended to identify 1) the key elements of a successful STEM-based simulation game experience in an informal science education institution, and 2) which aspects of game design (e.g., challenge, curiosity, fantasy, personal recognition) are most effective at maximizing both learning and enjoyment. We will share our progress to date, including formative assessment results from testing the game prototypes at Birch Aquarium at Scripps, and discuss the potential benefits and challenges to interactive gaming as a tool to support STEM literacy.

  1. Rapid Associative Learning and Stable Long-Term Memory in the Squid Euprymna scolopes.

    PubMed

    Zepeda, Emily A; Veline, Robert J; Crook, Robyn J

    2017-06-01

    Learning and memory in cephalopod molluscs have received intensive study because of cephalopods' complex behavioral repertoire and relatively accessible nervous systems. While most of this research has been conducted using octopus and cuttlefish species, there has been relatively little work on squid. Euprymna scolopes Berry, 1913, a sepiolid squid, is a promising model for further exploration of cephalopod cognition. These small squid have been studied in detail for their symbiotic relationship with bioluminescent bacteria, and their short generation time and successful captive breeding through multiple generations make them appealing models for neurobiological research. However, little is known about their behavior or cognitive ability. Using the well-established "prawn-in-the-tube" assay of learning and memory, we show that within a single 10-min trial E. scolopes learns to inhibit its predatory behavior, and after three trials it can retain this memory for at least 12 d. Rapid learning and very long-term retention were apparent under two different training schedules. To our knowledge, this study is the first demonstration of learning and memory in this species as well as the first demonstration of associative learning in any squid.

  2. The Effect of Simulation on Middle School Students' Perceptions of Classroom Activities and Their Foreign Language Achievement: A Mixed-Methods Approach

    ERIC Educational Resources Information Center

    Sharifi, Akram; Ghanizadeh, Afsaneh; Jahedizadeh, Safoura

    2017-01-01

    The present study delved into a language learning model in the domain of English as a foreign language (EFL), i.e., simulation. The term simulation is used to describe the activity of producing conditions which are similar to real ones. We hypothesized that simulation plays a role in middle school students' perceptions of classroom activities…

  3. A Comparison between Flash and Second Life Programs as Aids in the Learning of Basic Laboratory Procedures

    ERIC Educational Resources Information Center

    Booth, Paula; Henderson-Begg, Stephanie

    2011-01-01

    Invited as a paper from E-Learn 2009 This study compared two programmes developed as a learning tool for students to practise basic laboratory procedures. One was a Flash simulation programme, the other a Second Life virtual reality programme. A cohort of 93 bioscience students participated in the between trial. A control group was used to…

  4. The Regulation of E-Learning: New National and International Policy Perspectives. Research & Occasional Paper Series: A Report. Revised

    ERIC Educational Resources Information Center

    Harley, Diane; Lawrence, Shannon

    2007-01-01

    The universe of postsecondary education is expanding. It is an era of rapid demographic and labor market changes, increased competition and shifts in institutional form (e.g., the rise of for profit degree granters, the hybrid form of nonprofit/for profit partnerships, corporate universities), and new forms of delivery driven by emerging…

  5. eLoom and Flatland: specification, simulation and visualization engines for the study of arbitrary hierarchical neural architectures.

    PubMed

    Caudell, Thomas P; Xiao, Yunhai; Healy, Michael J

    2003-01-01

    eLoom is an open source graph simulation software tool, developed at the University of New Mexico (UNM), that enables users to specify and simulate neural network models. Its specification language and libraries enables users to construct and simulate arbitrary, potentially hierarchical network structures on serial and parallel processing systems. In addition, eLoom is integrated with UNM's Flatland, an open source virtual environments development tool to provide real-time visualizations of the network structure and activity. Visualization is a useful method for understanding both learning and computation in artificial neural networks. Through 3D animated pictorially representations of the state and flow of information in the network, a better understanding of network functionality is achieved. ART-1, LAPART-II, MLP, and SOM neural networks are presented to illustrate eLoom and Flatland's capabilities.

  6. [Construction and Application of Innovative Education Technology Strategies in Nursing].

    PubMed

    Chao, Li-Fen; Huang, Hsiang-Ping; Ni, Lee-Fen; Tsai, Chia-Lan; Huang, Tsuey-Yuan

    2017-12-01

    The evolution of information and communication technologies has deeply impacted education reform, promoted the development of digital-learning models, and stimulated the development of diverse nursing education strategies in order to better fulfill needs and expand in new directions. The present paper introduces the intelligent-learning resources that are available for basic medical science education, problem-based learning, nursing scenario-based learning, objective structured clinical examinations, and other similar activities in the Department of Nursing at Chang Gung University of Science and Technology. The program is offered in two parts: specialized classroom facilities and cloud computing / mobile-learning. The latter includes high-fidelity simulation classrooms, online e-books, and virtual interactive simulation and augmented reality mobile-learning materials, which are provided through multimedia technology development, learning management systems, web-certificated examinations, and automated teaching and learning feedback mechanisms. It is expected that the teaching experiences that are shared in this article may be used as a reference for applying professional wisdom teaching models into nursing education.

  7. Demonstration of Self-Training Autonomous Neural Networks in Space Vehicle Docking Simulations

    NASA Technical Reports Server (NTRS)

    Patrick, M. Clinton; Thaler, Stephen L.; Stevenson-Chavis, Katherine

    2006-01-01

    Neural Networks have been under examination for decades in many areas of research, with varying degrees of success and acceptance. Key goals of computer learning, rapid problem solution, and automatic adaptation have been elusive at best. This paper summarizes efforts at NASA's Marshall Space Flight Center harnessing such technology to autonomous space vehicle docking for the purpose of evaluating applicability to future missions.

  8. The virtual terrorism response academy: training for high-risk, low-frequency threats.

    PubMed

    Henderson, Joseph V

    2005-01-01

    The Virtual Terrorism Response Academy is a reusable virtual learning environment to prepare emergency responders to deal with high-risk, low-frequency events in general, terrorist attacks in particular. The principal learning strategy is a traditional one: apprenticeship. Trainees enter the Academy and travel through its halls, selecting different learning experiences under the guidance of instructors who are simultaneously master practitioners and master trainers. The mentors are real individuals who have been videotaped according to courseware designs; they are subsequently available at any time or location via broadband Internet or CD-ROM. The Academy features a Simulation Area where trainees are briefed on a given scenario, select appropriate resources (e.g., protective equipment and hazmat instruments), then enter a 3-dimensional space where they must deal with various situations. Simulations are done under the guidance of a master trainer who functions as a coach, asking questions, pointing out things, explaining his reasoning at various points in the simulation. This is followed by a debriefing and discussion of lessons that could be learned from the simulation and the trainee's decisions.

  9. SU-E-T-23: A Developing Australian Network for Datamining and Modelling Routine Radiotherapy Clinical Data and Radiomics Information for Rapid Learning and Clinical Decision Support

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Thwaites, D; Holloway, L; Bailey, M

    2015-06-15

    Purpose: Large amounts of routine radiotherapy (RT) data are available, which can potentially add clinical evidence to support better decisions. A developing collaborative Australian network, with a leading European partner, aims to validate, implement and extend European predictive models (PMs) for Australian practice and assess their impact on future patient decisions. Wider objectives include: developing multi-institutional rapid learning, using distributed learning approaches; and assessing and incorporating radiomics information into PMs. Methods: Two initial standalone pilots were conducted; one on NSCLC, the other on larynx, patient datasets in two different centres. Open-source rapid learning systems were installed, for data extraction andmore » mining to collect relevant clinical parameters from the centres’ databases. The European DSSs were learned (“training cohort”) and validated against local data sets (“clinical cohort”). Further NSCLC studies are underway in three more centres to pilot a wider distributed learning network. Initial radiomics work is underway. Results: For the NSCLC pilot, 159/419 patient datasets were identified meeting the PM criteria, and hence eligible for inclusion in the curative clinical cohort (for the larynx pilot, 109/125). Some missing data were imputed using Bayesian methods. For both, the European PMs successfully predicted prognosis groups, but with some differences in practice reflected. For example, the PM-predicted good prognosis NSCLC group was differentiated from a combined medium/poor prognosis group (2YOS 69% vs. 27%, p<0.001). Stage was less discriminatory in identifying prognostic groups. In the good prognosis group two-year overall survival was 65% in curatively and 18% in palliatively treated patients. Conclusion: The technical infrastructure and basic European PMs support prognosis prediction for these Australian patient groups, showing promise for supporting future personalized treatment decisions, improved treatment quality and potential practice changes. The early indications from the distributed learning and radiomics pilots strengthen this. Improved routine patient data quality should strengthen such rapid learning systems.« less

  10. Rapid response learning of brand logo priming: Evidence that brand priming is not dominated by rapid response learning.

    PubMed

    Boehm, Stephan G; Smith, Ciaran; Muench, Niklas; Noble, Kirsty; Atherton, Catherine

    2017-08-31

    Repetition priming increases the accuracy and speed of responses to repeatedly processed stimuli. Repetition priming can result from two complementary sources: rapid response learning and facilitation within perceptual and conceptual networks. In conceptual classification tasks, rapid response learning dominates priming of object recognition, but it does not dominate priming of person recognition. This suggests that the relative engagement of network facilitation and rapid response learning depends on the stimulus domain. Here, we addressed the importance of the stimulus domain for rapid response learning by investigating priming in another domain, brands. In three experiments, participants performed conceptual decisions for brand logos. Strong priming was present, but it was not dominated by rapid response learning. These findings add further support to the importance of the stimulus domain for the relative importance of network facilitation and rapid response learning, and they indicate that brand priming is more similar to person recognition priming than object recognition priming, perhaps because priming of both brands and persons requires individuation.

  11. Mechanochemical formation of heterogeneous diamond structures during rapid uniaxial compression in graphite

    NASA Astrophysics Data System (ADS)

    Kroonblawd, Matthew P.; Goldman, Nir

    2018-05-01

    We predict mechanochemical formation of heterogeneous diamond structures from rapid uniaxial compression in graphite using quantum molecular dynamics simulations. Ensembles of simulations reveal the formation of different diamondlike products starting from thermal graphite crystal configurations. We identify distinct classes of final products with characteristic probabilities of formation, stress states, and electrical properties and show through simulations of rapid quenching that these products are nominally stable and can be recovered at room temperature and pressure. Some of the diamond products exhibit significant disorder and partial closure of the energy gap between the highest-occupied and lowest-unoccupied molecular orbitals (i.e., the HOMO-LUMO gap). Seeding atomic vacancies in graphite significantly biases toward forming products with small HOMO-LUMO gap. We show that a strong correlation between the HOMO-LUMO gap and disorder in tetrahedral bonding configurations informs which kinds of structural defects are associated with gap closure. The rapid diffusionless transformation of graphite is found to lock vacancy defects into the final diamond structure, resulting in configurations that prevent s p3 bonding and lead to localized HOMO and LUMO states with a small gap.

  12. A new vision for distance learning and continuing medical education.

    PubMed

    Harden, Ronald M

    2005-01-01

    Increasing demands on continuing medical education (CME) are taking place at a time of significant developments in educational thinking and new learning technologies. Such developments allow today's CME providers to better meet the CRISIS criteria for effective continuing education: convenience, relevance, individualization, self-assessment, independent learning, and a systematic approach. The International Virtual Medical School (IVIMEDS) provides a case study that illustrates how rapid growth of the Internet and e-learning can alter undergraduate education and has the potential to alter the nature of CME. Key components are a bank of reusable learning objects, a virtual practice with virtual patients, a learning-outcomes framework, and self-assessment instruments. Learning is facilitated by a curriculum map, guided-learning resources, "ask-the-expert" opportunities, and collaborative or peer-to-peer learning. The educational philosophy is "just-for-you" learning (learning customized to the content, educational strategy, and distribution needs of the individual physician) and "just-in-time" learning (learning resources available to physicians when they are required). Implications of the new learning technologies are profound. E-learning provides a bridge between the cutting edge of education and training and outdated procedures embedded in institutions and professional organizations. There are important implications, too, for globalization in medical education, for multiprofessional education, and for the continuum of education from undergraduate to postgraduate and continuing education.

  13. A universal strategy for the creation of machine learning-based atomistic force fields

    NASA Astrophysics Data System (ADS)

    Huan, Tran Doan; Batra, Rohit; Chapman, James; Krishnan, Sridevi; Chen, Lihua; Ramprasad, Rampi

    2017-09-01

    Emerging machine learning (ML)-based approaches provide powerful and novel tools to study a variety of physical and chemical problems. In this contribution, we outline a universal strategy to create ML-based atomistic force fields, which can be used to perform high-fidelity molecular dynamics simulations. This scheme involves (1) preparing a big reference dataset of atomic environments and forces with sufficiently low noise, e.g., using density functional theory or higher-level methods, (2) utilizing a generalizable class of structural fingerprints for representing atomic environments, (3) optimally selecting diverse and non-redundant training datasets from the reference data, and (4) proposing various learning approaches to predict atomic forces directly (and rapidly) from atomic configurations. From the atomistic forces, accurate potential energies can then be obtained by appropriate integration along a reaction coordinate or along a molecular dynamics trajectory. Based on this strategy, we have created model ML force fields for six elemental bulk solids, including Al, Cu, Ti, W, Si, and C, and show that all of them can reach chemical accuracy. The proposed procedure is general and universal, in that it can potentially be used to generate ML force fields for any material using the same unified workflow with little human intervention. Moreover, the force fields can be systematically improved by adding new training data progressively to represent atomic environments not encountered previously.

  14. Designing Better Scaffolding in Teaching Complex Systems with Graphical Simulations

    NASA Astrophysics Data System (ADS)

    Li, Na

    Complex systems are an important topic in science education today, but they are usually difficult for secondary-level students to learn. Although graphic simulations have many advantages in teaching complex systems, scaffolding is a critical factor for effective learning. This dissertation study was conducted around two complementary research questions on scaffolding: (1) How can we chunk and sequence learning activities in teaching complex systems? (2) How can we help students make connections among system levels across learning activities (level bridging)? With a sample of 123 seventh-graders, this study employed a 3x2 experimental design that factored sequencing methods (independent variable 1; three levels) with level-bridging scaffolding (independent variable 2; two levels) and compared the effectiveness of each combination. The study measured two dependent variables: (1) knowledge integration (i.e., integrating and connecting content-specific normative concepts and providing coherent scientific explanations); (2) understanding of the deep causal structure (i.e., being able to grasp and transfer the causal knowledge of a complex system). The study used a computer-based simulation environment as the research platform to teach the ideal gas law as a system. The ideal gas law is an emergent chemical system that has three levels: (1) experiential macro level (EM) (e.g., an aerosol can explodes when it is thrown into the fire); (2) abstract macro level (AM) (i.e., the relationships among temperature, pressure and volume); (3) micro level (Mi) (i.e., molecular activity). The sequencing methods of these levels were manipulated by changing the order in which they were delivered with three possibilities: (1) EM-AM-Mi; (2) Mi-AM-EM; (3) AM-Mi-EM. The level-bridging scaffolding variable was manipulated on two aspects: (1) inserting inter-level questions among learning activities; (2) two simulations dynamically linked in the final learning activity. Addressing the first research question, the Experiential macro-Abstract macro-Micro (EM-AM-Mi) sequencing method, following the "concrete to abstract" principle, produced better knowledge integration while the Micro-Abstract macro-Experiential macro (Mi-AM-EM) sequencing method, congruent with the causal direction of the emergent system, produced better understanding of the deep causal structure only when level-bridging scaffolding was provided. The Abstract macro-Micro-Experiential macro (AM-Mi-EM) sequencing method produced worse performance in general, because it did not follow the "concrete to abstract" principle, nor did it align with the causal structure of the emergent system. As to the second research question, the results showed that level-bridging scaffolding was important for both knowledge integration and understanding of the causal structure in learning the ideal gas law system.

  15. Army Learning Concept 2015: These Are Not the Droids You Are Looking For

    DTIC Science & Technology

    2011-06-07

    instruction, gaming, video , interactive multimedia instruction, virtual worlds, massively multiplayer online games, simulations, and others.” A wide...games, buying stuff on E-Bay and surfing the net for porn ? “These are not the “an” droids we are looking for…” 24 ALC 2015 should enhance learning

  16. One night of sleep is insufficient to achieve sleep-to-forget emotional decontextualisation processes.

    PubMed

    Deliens, Gaétane; Peigneux, Philippe

    2014-01-01

    Neutral memories unbind from their emotional acquisition context when sleep is allowed the night after learning and testing takes place after two additional nights of sleep. However, mood-dependent memory (MDM) effects are not abolished after a restricted sleep episode mostly featuring non rapid-eye-movement (NREM) or rapid-eye-movement (REM) sleep. Here, we tested whether (1) one night of sleep featuring several NREM-REM sleep cycles is sufficient to suppress MDM effects and (2) a neutral mood is a sufficiently contrasting state to induce MDM effects, i.e. interfere with the recall of information learned in happy or sad states. Results disclosed MDM effects both in the post-learning sleep and wake conditions, with better recall in congruent than incongruent emotional contexts. Our findings suggest that the emotional unbinding needs several consecutive nights of sleep to be complete, and that even subtle mood changes are sufficient to produce MDM effects.

  17. Electronic learning in advanced resuscitation training: The perspective of the candidate.

    PubMed

    Lockey, Andrew S; Dyal, Laura; Kimani, Peter K; Lam, Jenny; Bullock, Ian; Buck, Dominic; Davies, Robin P; Perkins, Gavin D

    2015-12-01

    Studies have shown that blended approaches combining e-learning with face-to-face training reduces costs whilst maintaining similar learning outcomes. The preferences in learning approach for healthcare providers to this new style of learning have not been comprehensively studied. The aim of this study is to evaluate the acceptability of blended learning to advanced resuscitation training. Participants taking part in the traditional and blended electronic advanced life support (e-ALS) courses were invited to complete a written evaluation of the course. Participants' views were captured on a 6-point Likert scale and in free text written comments covering the content, delivery and organisation of the course. Proportional-odds cumulative logit models were used to compare quantitative responses. Thematic analysis was used to synthesise qualitative feedback. 2848 participants from 31 course centres took part in the study (2008-2010). Candidates consistently scored content delivered face-to-face over the same content delivered over the e-learning platform. Candidates valued practical hands on training which included simulation highly. Within the e-ALS group, a common theme was a feeling of "time pressure" and they "preferred the face-to-face teaching". However, others felt that e-ALS "suited their learning style", was "good for those recertifying", and allowed candidates to "use the learning materials at their own pace". The e-ALS course was well received by most, but not all participants. The majority felt the e-learning module was beneficial. There was universal agreement that the face-to-face training was invaluable. Individual learning styles of the candidates affected their reaction to the course materials. Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.

  18. Management of simulated maternal cardiac arrest by residents: didactic teaching versus electronic learning.

    PubMed

    Hards, Andrea; Davies, Sharon; Salman, Aliya; Erik-Soussi, Magda; Balki, Mrinalini

    2012-09-01

    Successful resuscitation of a pregnant woman undergoing cardiac arrest and survival of the fetus require prompt, high-quality cardiopulmonary resuscitation. The objective of this observational study was to assess management of maternal cardiac arrest by anesthesia residents using high-fidelity simulation and compare subsequent performance following either didactic teaching or electronic learning (e-learning). Twenty anesthesia residents were randomized to receive either didactic teaching (Didactic group, n = 10) or e-learning (Electronic group, n = 10) on maternal cardiac arrest. Baseline management skills were tested using high-fidelity simulation, with repeat simulation testing one month after their teaching intervention. The time from cardiac arrest to start of perimortem Cesarean delivery (PMCD) was measured, and the technical and nontechnical skills scores between the two teaching groups were compared. The median [interquartile range] time to PMCD decreased after teaching, from 4.5 min [3.4 to 5.1 min] to 3.5 min [2.5 to 4.0 min] (P = 0.03), although the change within each group was not statistically significant (Didactic group 4.9 to 3.8 min, P = 0.2; Electronic group 3.9 to 2.5 min, P = 0.07; Didactic group vs Electronic group, P = 1.0). Even after teaching, only 65% of participants started PMCD within four minutes. Technical and nontechnical skills scores improved after teaching in both groups, and there were no differences between the groups. There are gaps in the knowledge and implementation of resuscitation protocols and the recommended modifications for pregnancy among residents. Teaching can improve performance during management of maternal cardiac arrest. Electronic learning and didactic teaching offer similar benefits.

  19. The Programming Language Python In Earth System Simulations

    NASA Astrophysics Data System (ADS)

    Gross, L.; Imranullah, A.; Mora, P.; Saez, E.; Smillie, J.; Wang, C.

    2004-12-01

    Mathematical models in earth sciences base on the solution of systems of coupled, non-linear, time-dependent partial differential equations (PDEs). The spatial and time-scale vary from a planetary scale and million years for convection problems to 100km and 10 years for fault systems simulations. Various techniques are in use to deal with the time dependency (e.g. Crank-Nicholson), with the non-linearity (e.g. Newton-Raphson) and weakly coupled equations (e.g. non-linear Gauss-Seidel). Besides these high-level solution algorithms discretization methods (e.g. finite element method (FEM), boundary element method (BEM)) are used to deal with spatial derivatives. Typically, large-scale, three dimensional meshes are required to resolve geometrical complexity (e.g. in the case of fault systems) or features in the solution (e.g. in mantel convection simulations). The modelling environment escript allows the rapid implementation of new physics as required for the development of simulation codes in earth sciences. Its main object is to provide a programming language, where the user can define new models and rapidly develop high-level solution algorithms. The current implementation is linked with the finite element package finley as a PDE solver. However, the design is open and other discretization technologies such as finite differences and boundary element methods could be included. escript is implemented as an extension of the interactive programming environment python (see www.python.org). Key concepts introduced are Data objects, which are holding values on nodes or elements of the finite element mesh, and linearPDE objects, which are defining linear partial differential equations to be solved by the underlying discretization technology. In this paper we will show the basic concepts of escript and will show how escript is used to implement a simulation code for interacting fault systems. We will show some results of large-scale, parallel simulations on an SGI Altix system. Acknowledgements: Project work is supported by Australian Commonwealth Government through the Australian Computational Earth Systems Simulator Major National Research Facility, Queensland State Government Smart State Research Facility Fund, The University of Queensland and SGI.

  20. Acceleration of saddle-point searches with machine learning.

    PubMed

    Peterson, Andrew A

    2016-08-21

    In atomistic simulations, the location of the saddle point on the potential-energy surface (PES) gives important information on transitions between local minima, for example, via transition-state theory. However, the search for saddle points often involves hundreds or thousands of ab initio force calls, which are typically all done at full accuracy. This results in the vast majority of the computational effort being spent calculating the electronic structure of states not important to the researcher, and very little time performing the calculation of the saddle point state itself. In this work, we describe how machine learning (ML) can reduce the number of intermediate ab initio calculations needed to locate saddle points. Since machine-learning models can learn from, and thus mimic, atomistic simulations, the saddle-point search can be conducted rapidly in the machine-learning representation. The saddle-point prediction can then be verified by an ab initio calculation; if it is incorrect, this strategically has identified regions of the PES where the machine-learning representation has insufficient training data. When these training data are used to improve the machine-learning model, the estimates greatly improve. This approach can be systematized, and in two simple example problems we demonstrate a dramatic reduction in the number of ab initio force calls. We expect that this approach and future refinements will greatly accelerate searches for saddle points, as well as other searches on the potential energy surface, as machine-learning methods see greater adoption by the atomistics community.

  1. Acceleration of saddle-point searches with machine learning

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Peterson, Andrew A., E-mail: andrew-peterson@brown.edu

    In atomistic simulations, the location of the saddle point on the potential-energy surface (PES) gives important information on transitions between local minima, for example, via transition-state theory. However, the search for saddle points often involves hundreds or thousands of ab initio force calls, which are typically all done at full accuracy. This results in the vast majority of the computational effort being spent calculating the electronic structure of states not important to the researcher, and very little time performing the calculation of the saddle point state itself. In this work, we describe how machine learning (ML) can reduce the numbermore » of intermediate ab initio calculations needed to locate saddle points. Since machine-learning models can learn from, and thus mimic, atomistic simulations, the saddle-point search can be conducted rapidly in the machine-learning representation. The saddle-point prediction can then be verified by an ab initio calculation; if it is incorrect, this strategically has identified regions of the PES where the machine-learning representation has insufficient training data. When these training data are used to improve the machine-learning model, the estimates greatly improve. This approach can be systematized, and in two simple example problems we demonstrate a dramatic reduction in the number of ab initio force calls. We expect that this approach and future refinements will greatly accelerate searches for saddle points, as well as other searches on the potential energy surface, as machine-learning methods see greater adoption by the atomistics community.« less

  2. Adaptive filter design using recurrent cerebellar model articulation controller.

    PubMed

    Lin, Chih-Min; Chen, Li-Yang; Yeung, Daniel S

    2010-07-01

    A novel adaptive filter is proposed using a recurrent cerebellar-model-articulation-controller (CMAC). The proposed locally recurrent globally feedforward recurrent CMAC (RCMAC) has favorable properties of small size, good generalization, rapid learning, and dynamic response, thus it is more suitable for high-speed signal processing. To provide fast training, an efficient parameter learning algorithm based on the normalized gradient descent method is presented, in which the learning rates are on-line adapted. Then the Lyapunov function is utilized to derive the conditions of the adaptive learning rates, so the stability of the filtering error can be guaranteed. To demonstrate the performance of the proposed adaptive RCMAC filter, it is applied to a nonlinear channel equalization system and an adaptive noise cancelation system. The advantages of the proposed filter over other adaptive filters are verified through simulations.

  3. Virtual simulation as a learning method in interventional radiology.

    PubMed

    Avramov, Predrag; Avramov, Milena; Juković, Mirela; Kadić, Vuk; Till, Viktor

    2013-01-01

    Radiology is the fastest growing discipline of medicine thanks to the implementation of new technologies and very rapid development of imaging diagnostic procedures in the last few decades. On the other hand, the development of imaging diagnostic procedures has put aside the traditional gaining of experience by working on real patients, and the need for other alternatives of learning interventional radiology procedures has emerged. A new method of virtual approach was added as an excellent alternative to the currently known methods of training on physical models and animals. Virtual reality represents a computer-generated reconstruction of anatomical environment with tactile interactions and it enables operators not only to learn on their own mistakes without compromising the patient's safety, but also to enhance their knowledge and experience. It is true that studies published so far on the validity of endovascular simulators have shown certain improvement of operator's technical skills and reduction in time needed for the procedure, but on the other hand, it is still a question whether these skills are transferable to the real patients in the angio room. With further improvement of technology, shortcomings of virtual approach to interventional procedures learning will be less significant and this procedure is likely to become the only method of learning in the near future.

  4. Deep learning in bioinformatics.

    PubMed

    Min, Seonwoo; Lee, Byunghan; Yoon, Sungroh

    2017-09-01

    In the era of big data, transformation of biomedical big data into valuable knowledge has been one of the most important challenges in bioinformatics. Deep learning has advanced rapidly since the early 2000s and now demonstrates state-of-the-art performance in various fields. Accordingly, application of deep learning in bioinformatics to gain insight from data has been emphasized in both academia and industry. Here, we review deep learning in bioinformatics, presenting examples of current research. To provide a useful and comprehensive perspective, we categorize research both by the bioinformatics domain (i.e. omics, biomedical imaging, biomedical signal processing) and deep learning architecture (i.e. deep neural networks, convolutional neural networks, recurrent neural networks, emergent architectures) and present brief descriptions of each study. Additionally, we discuss theoretical and practical issues of deep learning in bioinformatics and suggest future research directions. We believe that this review will provide valuable insights and serve as a starting point for researchers to apply deep learning approaches in their bioinformatics studies. © The Author 2016. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

  5. Cue competition in evaluative conditioning as a function of the learning process.

    PubMed

    Kattner, Florian; Green, C Shawn

    2015-11-01

    Evaluative conditioning (EC) is the change in the valence of a stimulus resulting from pairings with an affective (unconditioned) stimulus (US). With some exceptions, previous work has indicated that this form of conditioning might be insensitive to cue competition effects such as blocking and overshadowing. Here we assessed whether the extent of cue competition in EC depends upon the type of contingency learning during conditioning. Specifically, we contrasted a learning task that biased participants toward cognitive/inferential learning (i.e., predicting the US) with a learning task that prevented prolonged introspection (i.e., a rapid response made to the US). In all cases, standard EC effects were observed, with the subjective liking of stimuli changed in the direction of the valence of the US. More importantly, when inferential learning was likely, larger EC effects occurred for isolated stimuli than for compounds (indicating overshadowing). No blocking effects on explicit evaluations were observed for either learning task. Contingency judgments and implicit evaluations, however, were sensitive to blocking, indicating that the absence of a blocking effect on explicit evaluations might be due to inferences that occur during testing.

  6. Effects of a Word-Learning Training on Children With Cochlear Implants

    PubMed Central

    Lund, Emily

    2014-01-01

    Preschool children with hearing loss who use cochlear implants demonstrate vocabulary delays when compared to their peers without hearing loss. These delays may be a result of deficient word-learning abilities; children with cochlear implants perform more poorly on rapid word-learning tasks than children with normal hearing. This study explored the malleability of rapid word learning of preschoolers with cochlear implants by evaluating the effects of a word-learning training on rapid word learning. A single-subject, multiple probe design across participants measured the impact of the training on children’s rapid word-learning performance. Participants included 5 preschool children with cochlear implants who had an expressive lexicon of less than 150 words. An investigator guided children to identify, repeat, and learn about unknown sets of words in 2-weekly sessions across 10 weeks. The probe measure, a rapid word-learning task with a different set of words than those taught during training, was collected in the baseline, training, and maintenance conditions. All participants improved their receptive rapid word-learning performance in the training condition. The functional relation indicates that the receptive rapid word-learning performance of children with cochlear implants is malleable. PMID:23981321

  7. [Surgical laboratory in pregraduate medicine.

    PubMed

    Tapia-Jurado, Jesús

    2011-01-01

    Surgical laboratory in pregraduate students in medicine is beneficial and improves learning processes in cognitive aspects and skills acquisition. It is also an early initiation into scientific research. The laboratory is the introductory pathway into basic concepts of medical science (meaningful learning). It is also where students gain knowledge in procedures and abilities to obtain professional skills, an interactive teacher-student process. Medicine works rapidly to change from an art to a science. This fact compromises all schools and medical faculties to analyze their actual lesson plans. Simulators give students confidence and ability and save time, money and resources, eliminating at the same time the ethical factor of using live animals and the fear of patient safety. Multimedia programs may give a cognitive context evolving logically with an explanation based on written and visual animation followed by a clinical problem and its demonstration in a simulator, all before applying knowledge to the patient.

  8. Error Detection-Based Model to Assess Educational Outcomes in Crisis Resource Management Training: A Pilot Study.

    PubMed

    Bouhabel, Sarah; Kay-Rivest, Emily; Nhan, Carol; Bank, Ilana; Nugus, Peter; Fisher, Rachel; Nguyen, Lily Hp

    2017-06-01

    Otolaryngology-head and neck surgery (OTL-HNS) residents face a variety of difficult, high-stress situations, which may occur early in their training. Since these events occur infrequently, simulation-based learning has become an important part of residents' training and is already well established in fields such as anesthesia and emergency medicine. In the domain of OTL-HNS, it is gradually gaining in popularity. Crisis Resource Management (CRM), a program adapted from the aviation industry, aims to improve outcomes of crisis situations by attempting to mitigate human errors. Some examples of CRM principles include cultivating situational awareness; promoting proper use of available resources; and improving rapid decision making, particularly in high-acuity, low-frequency clinical situations. Our pilot project sought to integrate CRM principles into an airway simulation course for OTL-HNS residents, but most important, it evaluated whether learning objectives were met, through use of a novel error identification model.

  9. A Web simulation of medical image reconstruction and processing as an educational tool.

    PubMed

    Papamichail, Dimitrios; Pantelis, Evaggelos; Papagiannis, Panagiotis; Karaiskos, Pantelis; Georgiou, Evangelos

    2015-02-01

    Web educational resources integrating interactive simulation tools provide students with an in-depth understanding of the medical imaging process. The aim of this work was the development of a purely Web-based, open access, interactive application, as an ancillary learning tool in graduate and postgraduate medical imaging education, including a systematic evaluation of learning effectiveness. The pedagogic content of the educational Web portal was designed to cover the basic concepts of medical imaging reconstruction and processing, through the use of active learning and motivation, including learning simulations that closely resemble actual tomographic imaging systems. The user can implement image reconstruction and processing algorithms under a single user interface and manipulate various factors to understand the impact on image appearance. A questionnaire for pre- and post-training self-assessment was developed and integrated in the online application. The developed Web-based educational application introduces the trainee in the basic concepts of imaging through textual and graphical information and proceeds with a learning-by-doing approach. Trainees are encouraged to participate in a pre- and post-training questionnaire to assess their knowledge gain. An initial feedback from a group of graduate medical students showed that the developed course was considered as effective and well structured. An e-learning application on medical imaging integrating interactive simulation tools was developed and assessed in our institution.

  10. Interactive Learning Environment: Web-based Virtual Hydrological Simulation System using Augmented and Immersive Reality

    NASA Astrophysics Data System (ADS)

    Demir, I.

    2014-12-01

    Recent developments in internet technologies make it possible to manage and visualize large data on the web. Novel visualization techniques and interactive user interfaces allow users to create realistic environments, and interact with data to gain insight from simulations and environmental observations. The hydrological simulation system is a web-based 3D interactive learning environment for teaching hydrological processes and concepts. The simulation systems provides a visually striking platform with realistic terrain information, and water simulation. Students can create or load predefined scenarios, control environmental parameters, and evaluate environmental mitigation alternatives. The web-based simulation system provides an environment for students to learn about the hydrological processes (e.g. flooding and flood damage), and effects of development and human activity in the floodplain. The system utilizes latest web technologies and graphics processing unit (GPU) for water simulation and object collisions on the terrain. Users can access the system in three visualization modes including virtual reality, augmented reality, and immersive reality using heads-up display. The system provides various scenarios customized to fit the age and education level of various users. This presentation provides an overview of the web-based flood simulation system, and demonstrates the capabilities of the system for various visualization and interaction modes.

  11. Computer Simulations to Support Science Instruction and Learning: A critical review of the literature

    NASA Astrophysics Data System (ADS)

    Smetana, Lara Kathleen; Bell, Randy L.

    2012-06-01

    Researchers have explored the effectiveness of computer simulations for supporting science teaching and learning during the past four decades. The purpose of this paper is to provide a comprehensive, critical review of the literature on the impact of computer simulations on science teaching and learning, with the goal of summarizing what is currently known and providing guidance for future research. We report on the outcomes of 61 empirical studies dealing with the efficacy of, and implications for, computer simulations in science instruction. The overall findings suggest that simulations can be as effective, and in many ways more effective, than traditional (i.e. lecture-based, textbook-based and/or physical hands-on) instructional practices in promoting science content knowledge, developing process skills, and facilitating conceptual change. As with any other educational tool, the effectiveness of computer simulations is dependent upon the ways in which they are used. Thus, we outline specific research-based guidelines for best practice. Computer simulations are most effective when they (a) are used as supplements; (b) incorporate high-quality support structures; (c) encourage student reflection; and (d) promote cognitive dissonance. Used appropriately, computer simulations involve students in inquiry-based, authentic science explorations. Additionally, as educational technologies continue to evolve, advantages such as flexibility, safety, and efficiency deserve attention.

  12. Amp: A modular approach to machine learning in atomistic simulations

    NASA Astrophysics Data System (ADS)

    Khorshidi, Alireza; Peterson, Andrew A.

    2016-10-01

    Electronic structure calculations, such as those employing Kohn-Sham density functional theory or ab initio wavefunction theories, have allowed for atomistic-level understandings of a wide variety of phenomena and properties of matter at small scales. However, the computational cost of electronic structure methods drastically increases with length and time scales, which makes these methods difficult for long time-scale molecular dynamics simulations or large-sized systems. Machine-learning techniques can provide accurate potentials that can match the quality of electronic structure calculations, provided sufficient training data. These potentials can then be used to rapidly simulate large and long time-scale phenomena at similar quality to the parent electronic structure approach. Machine-learning potentials usually take a bias-free mathematical form and can be readily developed for a wide variety of systems. Electronic structure calculations have favorable properties-namely that they are noiseless and targeted training data can be produced on-demand-that make them particularly well-suited for machine learning. This paper discusses our modular approach to atomistic machine learning through the development of the open-source Atomistic Machine-learning Package (Amp), which allows for representations of both the total and atom-centered potential energy surface, in both periodic and non-periodic systems. Potentials developed through the atom-centered approach are simultaneously applicable for systems with various sizes. Interpolation can be enhanced by introducing custom descriptors of the local environment. We demonstrate this in the current work for Gaussian-type, bispectrum, and Zernike-type descriptors. Amp has an intuitive and modular structure with an interface through the python scripting language yet has parallelizable fortran components for demanding tasks; it is designed to integrate closely with the widely used Atomic Simulation Environment (ASE), which makes it compatible with a wide variety of commercial and open-source electronic structure codes. We finally demonstrate that the neural network model inside Amp can accurately interpolate electronic structure energies as well as forces of thousands of multi-species atomic systems.

  13. Do Students' Topic Interest and Tutors' Instructional Style Matter in Problem-Based Learning?

    ERIC Educational Resources Information Center

    Wijnia, Lisette; Loyens, Sofie M. M.; Derous, Eva; Schmidt, Henk G.

    2014-01-01

    Two studies investigated the importance of initial topic interest (i.e., expectation of interest) and tutors' autonomy-supportive or controlling instructional styles for students' motivation and performance in problem-based learning (PBL). In Study 1 (N = 93, a lab experiment), each student participated in a simulated group discussion in…

  14. An Integrated Learning Approach to Teaching an Undergraduate Information Systems Course

    ERIC Educational Resources Information Center

    Riordan, Robert J.; Hine, Michael J.; Smith, Tim C.

    2017-01-01

    This paper describes the redesign and implementation of an introductory Information Systems class. The redesign was guided by principles drawn from the experiential and active learning literature. Central to the redesign are two simulated companies: petGRO, a fictional ERP-enabled pet food and accessories e-tailer, and beans4all, a technology…

  15. An Amazing Algorithm

    ERIC Educational Resources Information Center

    Snapp, Robert R.; Neumann, Maureen D.

    2015-01-01

    The rapid growth of digital technology, including the worldwide adoption of mobile and embedded computers, places new demands on K-grade 12 educators and their students. Young people should have an opportunity to learn the technical knowledge of computer science (e.g., computer programming, mathematical logic, and discrete mathematics) in order to…

  16. Using evidence-integrated e-learning to enhance case management continuing education for psychiatric nurses: a randomised controlled trial with follow-up.

    PubMed

    Liu, Wen-I; Rong, Jiin-Ru; Liu, Chieh-Yu

    2014-11-01

    E-learning is a flexible strategy to improve nurses' knowledge of case management, but there are methodological limitations in previous research into the effectiveness of such programs. To describe the development and effectiveness of an evidence-integrated e-learning program in case management continuing education for Taiwanese psychiatric nurses. Multiple methods were adopted to develop the program and a randomised controlled trial with repeated measures was employed to evaluate it. The e-learning program was developed in four stages: (1) systematic review of literature; (2) needs assessment through a national survey and focus group; (3) development of learning materials; and (4) pilot test. Following program development, psychiatric nurses were recruited and randomly allocated into an experimental or comparison group. The experimental group participated in an e-learning continuing education program. The case management knowledge index with sufficient reliability and validity and a satisfaction survey were used to determine the outcomes. A generalised estimating equation was used to assess the difference between the 2 groups before, after, and at 3 months follow-up. The learning material comprised 5 simulated learning modules, self-assessment questions, learning cases, sharing experiences, and learning resources. A total of 200 participants completed the 3 measurements. Knowledge scores in the experimental group significantly exceeded those in the comparison group after the program and at the 3-month follow-up. Participants reported positive learning perceptions. The program provides an evidence-based educational resource for nursing continuing education in case management. Copyright © 2014 Elsevier Ltd. All rights reserved.

  17. Ventriculostomy Simulation Using Patient-Specific Ventricular Anatomy, 3D Printing, and Hydrogel Casting.

    PubMed

    Ryan, Justin R; Chen, Tsinsue; Nakaji, Peter; Frakes, David H; Gonzalez, L Fernando

    2015-11-01

    Educational simulators provide a means for students and experts to learn and refine surgical skills. Educators can leverage the strengths of medical simulators to effectively teach complex and high-risk surgical procedures, such as placement of an external ventricular drain. Our objective was to develop a cost-effective, patient-derived medical simulacrum for cerebral lateral ventriculostomy. A cost-effective, patient-derived medical simulacrum was developed for placement of an external lateral ventriculostomy. Elastomeric and gel casting techniques were used to achieve realistic brain geometry and material properties. 3D printing technology was leveraged to develop accurate cranial properties and dimensions. An economical, gravity-driven pump was developed to provide normal and abnormal ventricular pressures. A small pilot study was performed to gauge simulation efficacy using a technology acceptance model. An accurate geometric representation of the brain was developed with independent lateral cerebral ventricular chambers. A gravity-driven pump pressurized the ventricular cavities to physiologic values. A qualitative study illustrated that the simulation has potential as an educational tool to train medical professionals in the ventriculostomy procedure. The ventricular simulacrum can improve learning in a medical education environment. Rapid prototyping and multi-material casting techniques can produce patient-derived models for cost-effective and realistic surgical training scenarios. Copyright © 2015 Elsevier Inc. All rights reserved.

  18. Deep learning of unsteady laminar flow over a cylinder

    NASA Astrophysics Data System (ADS)

    Lee, Sangseung; You, Donghyun

    2017-11-01

    Unsteady flow over a circular cylinder is reconstructed using deep learning with a particular emphasis on elucidating the potential of learning the solution of the Navier-Stokes equations. A deep neural network (DNN) is employed for deep learning, while numerical simulations are conducted to produce training database. Instantaneous and mean flow fields which are reconstructed by deep learning are compared with the simulation results. Fourier transform of flow variables has been conducted to validate the ability of DNN to capture both amplitudes and frequencies of flow motions. Basis decomposition of learned flow is performed to understand the underlying mechanisms of learning flow through DNN. The present study suggests that a deep learning technique can be utilized for reconstruction and, potentially, for prediction of fluid flow instead of solving the Navier-Stokes equations. This work was supported by the National Research Foundation of Korea(NRF) Grant funded by the Korea government(Ministry of Science, ICT and Future Planning) (No. 2014R1A2A1A11049599, No. 2015R1A2A1A15056086, No. 2016R1E1A2A01939553).

  19. Rapid Quantification of Energy Absorption and Dissipation Metrics for PPE Padding Materials

    DTIC Science & Technology

    2010-01-22

    dampers ,   i.e.,  Hooke’s  Law  springs  and   viscous ...absorbing/dissipating materials. Input forces caused by blast pressures, determined from computational fluid dynamics (CFD) analysis and simulation...simple  lumped-­‐ parameter  elements   –  spring,  k  (energy  storage)   –  damper ,  b  (energy  dissipa/on   Rapid

  20. Development Of A Data Assimilation Capability For RAPID

    NASA Astrophysics Data System (ADS)

    Emery, C. M.; David, C. H.; Turmon, M.; Hobbs, J.; Allen, G. H.; Famiglietti, J. S.

    2017-12-01

    The global decline of in situ observations associated with the increasing ability to monitor surface water from space motivates the creation of data assimilation algorithms that merge computer models and space-based observations to produce consistent estimates of terrestrial hydrology that fill the spatiotemporal gaps in observations. RAPID is a routing model based on the Muskingum method that is capable of estimating river streamflow over large scales with a relatively short computing time. This model only requires limited inputs: a reach-based river network, and lateral surface and subsurface flow into the rivers. The relatively simple model physics imply that RAPID simulations could be significantly improved by including a data assimilation capability. Here we present the early developments of such data assimilation approach into RAPID. Given the linear and matrix-based structure of the model, we chose to apply a direct Kalman filter, hence allowing for the preservation of high computational speed. We correct the simulated streamflows by assimilating streamflow observations and our early results demonstrate the feasibility of the approach. Additionally, the use of in situ gauges at continental scales motivates the application of our new data assimilation scheme to altimetry measurements from existing (e.g. EnviSat, Jason 2) and upcoming satellite missions (e.g. SWOT), and ultimately apply the scheme globally.

  1. Optimal structure of metaplasticity for adaptive learning

    PubMed Central

    2017-01-01

    Learning from reward feedback in a changing environment requires a high degree of adaptability, yet the precise estimation of reward information demands slow updates. In the framework of estimating reward probability, here we investigated how this tradeoff between adaptability and precision can be mitigated via metaplasticity, i.e. synaptic changes that do not always alter synaptic efficacy. Using the mean-field and Monte Carlo simulations we identified ‘superior’ metaplastic models that can substantially overcome the adaptability-precision tradeoff. These models can achieve both adaptability and precision by forming two separate sets of meta-states: reservoirs and buffers. Synapses in reservoir meta-states do not change their efficacy upon reward feedback, whereas those in buffer meta-states can change their efficacy. Rapid changes in efficacy are limited to synapses occupying buffers, creating a bottleneck that reduces noise without significantly decreasing adaptability. In contrast, more-populated reservoirs can generate a strong signal without manifesting any observable plasticity. By comparing the behavior of our model and a few competing models during a dynamic probability estimation task, we found that superior metaplastic models perform close to optimally for a wider range of model parameters. Finally, we found that metaplastic models are robust to changes in model parameters and that metaplastic transitions are crucial for adaptive learning since replacing them with graded plastic transitions (transitions that change synaptic efficacy) reduces the ability to overcome the adaptability-precision tradeoff. Overall, our results suggest that ubiquitous unreliability of synaptic changes evinces metaplasticity that can provide a robust mechanism for mitigating the tradeoff between adaptability and precision and thus adaptive learning. PMID:28658247

  2. Framework for e-learning assessment in dental education: a global model for the future.

    PubMed

    Arevalo, Carolina R; Bayne, Stephen C; Beeley, Josie A; Brayshaw, Christine J; Cox, Margaret J; Donaldson, Nora H; Elson, Bruce S; Grayden, Sharon K; Hatzipanagos, Stylianos; Johnson, Lynn A; Reynolds, Patricia A; Schönwetter, Dieter J

    2013-05-01

    The framework presented in this article demonstrates strategies for a global approach to e-curricula in dental education by considering a collection of outcome assessment tools. By combining the outcomes for overall assessment, a global model for a pilot project that applies e-assessment tools to virtual learning environments (VLE), including haptics, is presented. Assessment strategies from two projects, HapTEL (Haptics in Technology Enhanced Learning) and UDENTE (Universal Dental E-learning), act as case-user studies that have helped develop the proposed global framework. They incorporate additional assessment tools and include evaluations from questionnaires and stakeholders' focus groups. These measure each of the factors affecting the classical teaching/learning theory framework as defined by Entwistle in a standardized manner. A mathematical combinatorial approach is proposed to join these results together as a global assessment. With the use of haptic-based simulation learning, exercises for tooth preparation assessing enamel and dentine were compared to plastic teeth in manikins. Equivalence for student performance for haptic versus traditional preparation methods was established, thus establishing the validity of the haptic solution for performing these exercises. Further data collected from HapTEL are still being analyzed, and pilots are being conducted to validate the proposed test measures. Initial results have been encouraging, but clearly the need persists to develop additional e-assessment methods for new learning domains.

  3. Advanced Instrumentation for Transient Reactor Testing

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Corradini, Michael L.; Anderson, Mark; Imel, George

    Transient testing involves placing fuel or material into the core of specialized materials test reactors that are capable of simulating a range of design basis accidents, including reactivity insertion accidents, that require the reactor produce short bursts of intense highpower neutron flux and gamma radiation. Testing fuel behavior in a prototypic neutron environment under high-power, accident-simulation conditions is a key step in licensing nuclear fuels for use in existing and future nuclear power plants. Transient testing of nuclear fuels is needed to develop and prove the safety basis for advanced reactors and fuels. In addition, modern fuel development and designmore » increasingly relies on modeling and simulation efforts that must be informed and validated using specially designed material performance separate effects studies. These studies will require experimental facilities that are able to support variable scale, highly instrumented tests providing data that have appropriate spatial and temporal resolution. Finally, there are efforts now underway to develop advanced light water reactor (LWR) fuels with enhanced performance and accident tolerance. These advanced reactor designs will also require new fuel types. These new fuels need to be tested in a controlled environment in order to learn how they respond to accident conditions. For these applications, transient reactor testing is needed to help design fuels with improved performance. In order to maximize the value of transient testing, there is a need for in-situ transient realtime imaging technology (e.g., the neutron detection and imaging system like the hodoscope) to see fuel motion during rapid transient excursions with a higher degree of spatial and temporal resolution and accuracy. There also exists a need for new small, compact local sensors and instrumentation that are capable of collecting data during transients (e.g., local displacements, temperatures, thermal conductivity, neutron flux, etc.).« less

  4. Design and Simulation of a MEMS Structure for Electrophoretic and Dielectrophoretic Separation of Particles by Contactless Electrodes

    NASA Technical Reports Server (NTRS)

    Shaw, Harry C.

    2007-01-01

    Rapid identification of pathogenic bacterial species is an important factor in combating public health problems such as E. coli contamination. Food and waterborne pathogens account for sickness in 76 million people annually (CDC). Diarrheagenic E. coli is a major source of gastrointestinal illness. Severe sepsis and Septicemia within the hospital environment are also major problems. 75 1,000 cases annually with a 30-50% mortality rate (Crit Care Med, July '01, Vol. 29, 1303-10). Patient risks run the continuum from fever to organ failure and death. Misdiagnosis or inappropriate treatment increases mortality. There exists a need for rapid screening of samples for identification of pathogenic species (Certain E. coli strains are essential for health). Critical to the identification process is the ability to isolate analytes of interest rapidly. This poster discusses novel devices for the separation of particles on the basis of the dielectric properties, mass and surface charge characteristics is presented. Existing designs involve contact between electrode surfaces and analyte medium resulting in contamination of the electrode bearing elements Two different device designs using different bulk micromachining MEMS processes (PolyMUMPS and a PyrexBIGold electrode design) are presented. These designs cover a range of particle sizes from small molecules through eucaryotic cells. The application of separation of bacteria is discussed in detail. Simulation data for electrostatic and microfluidic characteristics are provided. Detailed design characteristics and physical features of the as fabricated PolyMUMPS design are provided. Analysis of the simulation data relative to the expected performance of the devices will be provided and subsequent conclusions discussed.

  5. Virtual suturing simulation based on commodity physics engine for medical learning.

    PubMed

    Choi, Kup-Sze; Chan, Sze-Ho; Pang, Wai-Man

    2012-06-01

    Development of virtual-reality medical applications is usually a complicated and labour intensive task. This paper explores the feasibility of using commodity physics engine to develop a suturing simulator prototype for manual skills training in the fields of nursing and medicine, so as to enjoy the benefits of rapid development and hardware-accelerated computation. In the prototype, spring-connected boxes of finite dimension are used to simulate soft tissues, whereas needle and thread are modelled with chained segments. Spherical joints are used to simulate suture's flexibility and to facilitate thread cutting. An algorithm is developed to simulate needle insertion and thread advancement through the tissue. Two-handed manipulations and force feedback are enabled with two haptic devices. Experiments on the closure of a wound show that the prototype is able to simulate suturing procedures at interactive rates. The simulator is also used to study a curvature-adaptive suture modelling technique. Issues and limitations of the proposed approach and future development are discussed.

  6. A Tutoring System That Simulates the Highly Interactive Nature of Human Tutoring

    ERIC Educational Resources Information Center

    Katz, Sandra; Albacete, Patricia L.

    2013-01-01

    For some time, it has been clear that students who are tutored generally learn more than students who experience classroom instruction (e.g., Bloom, 1984). Much research has been devoted to identifying features of tutorial dialogue that can explain its effectiveness, so that these features can be simulated in natural-language tutoring systems. One…

  7. Computer and laboratory simulation in the teaching of neonatal nursing: innovation and impact on learning.

    PubMed

    Fonseca, Luciana Mara Monti; Aredes, Natália Del' Angelo; Fernandes, Ananda Maria; Batalha, Luís Manuel da Cunha; Apóstolo, Jorge Manuel Amado; Martins, José Carlos Amado; Rodrigues, Manuel Alves

    2016-10-10

    to evaluate the cognitive learning of nursing students in neonatal clinical evaluation from a blended course with the use of computer and laboratory simulation; to compare the cognitive learning of students in a control and experimental group testing the laboratory simulation; and to assess the extracurricular blended course offered on the clinical assessment of preterm infants, according to the students. a quasi-experimental study with 14 Portuguese students, containing pretest, midterm test and post-test. The technologies offered in the course were serious game e-Baby, instructional software of semiology and semiotechnique, and laboratory simulation. Data collection tools developed for this study were used for the course evaluation and characterization of the students. Nonparametric statistics were used: Mann-Whitney and Wilcoxon. the use of validated digital technologies and laboratory simulation demonstrated a statistically significant difference (p = 0.001) in the learning of the participants. The course was evaluated as very satisfactory for them. The laboratory simulation alone did not represent a significant difference in the learning. the cognitive learning of participants increased significantly. The use of technology can be partly responsible for the course success, showing it to be an important teaching tool for innovation and motivation of learning in healthcare. avaliar a aprendizagem cognitiva de estudantes de enfermagem na avaliação clínica neonatal a partir de um curso semipresencial com uso de simulação por computador e em laboratório; comparar a aprendizagem cognitiva dos estudantes em grupo controle e experimental ao testar a simulação em laboratório; e avaliar o curso semipresencial extracurricular oferecido sobre avaliação clínica do bebê pré-termo, segundo os estudantes. estudo quase-experimental com 14 estudantes portugueses contendo pré-teste, teste intermediário e pós-teste. As tecnologias oferecidas no curso foram serious game e-Baby, software instrucional de semiologia e semiotécnica e simulação em laboratório. Para a avaliação do curso e caracterização dos estudantes utilizou-se instrumentos de coleta de dados desenvolvidos para este estudo. Utilizou-se estatística não paramétrica: Mann-Whitney e Wilcoxon. O uso de tecnologias digitais validadas e de simulação em laboratório evidenciou diferença estatisticamente significativa (p=0,001) na aprendizagem dos participantes. O curso foi avaliado como muito satisfatório pelos mesmos. A simulação em laboratório isoladamente não representou diferença significativa no aprendizado. a aprendizagem cognitiva dos participantes aumentou significativamente. Considera-se que o uso de tecnologia foi responsável por parte do sucesso do curso, denotando ser uma importante ferramenta de inovação didática e motivação da aprendizagem na área da saúde. evaluar el aprendizaje cognitivo de estudiantes de enfermería en evaluación clínica neonatal, a partir de un curso semipresencial, utilizando simulación por computador y en laboratorio; comparar el aprendizaje cognitivo de los estudiantes, entre grupo control y experimental, comprobando la simulación en el laboratorio; y evaluar el curso semipresencial extracurricular ofrecido sobre evaluación clínica del bebé pretérmino, de acuerdo a los estudiantes. estudio casi experimental con 14 estudiantes portugueses, conteniendo preprueba, prueba intermedia y postprueba. Las tecnologías ofrecidas en el curso fueron serious game e-Baby, programa de instrucción en semiología y semiotecnia, y simulación en laboratorio. Para la evaluación del curso y caracterización de los estudiantes se utilizaron instrumentos de recolección de datos desarrollados para este estudio. Se utilizó la estadística no-paramétrica de Mann-Whitney y Wilcoxon. el uso de tecnologías digitales validadas y de simulación en laboratorio evidenció diferencia estadísticamente significativa (p=0,001) en el aprendizaje de los participantes. El curso fue evaluado como muy satisfactorio por los alumnos. La simulación en laboratorio, aisladamente, no presentó diferencia significativa en el aprendizaje. el aprendizaje cognitivo de los participantes aumentó significativamente. Se considera que el uso de la tecnología fue responsable por parte del éxito del curso, demostrando ser una importante herramienta de innovación didáctica y motivación del aprendizaje en el área de la salud.

  8. The World Climate Exercise: Is (Simulated) Experience Our Best Teacher?

    NASA Astrophysics Data System (ADS)

    Rath, K.; Rooney-varga, J. N.; Jones, A.; Johnston, E.; Sterman, J.

    2015-12-01

    Meeting the challenge of climate change will clearly require 'deep learning' - learning that motivates a search for underlying meaning, a willingness to exert the sustained effort needed to understand complex problems, and innovative problem-solving. This type of learning is dependent on the level of the learner's engagement with the material, their intrinsic motivation to learn, intention to understand, and relevance of the material to the learner. Here, we present evidence for deep learning about climate change through a simulation-based role-playing exercise, World Climate. The exercise puts participants into the roles of delegates to the United Nations climate negotiations and asks them to create an international climate deal. They find out the implications of their decisions, according to the best available science, through the same decision-support computer simulation used to provide feedback for the real-world negotiations, C-ROADS. World Climate provides an opportunity for participants have an immersive, social experience in which they learn first-hand about both the social dynamics of climate change decision-making, through role-play, and the dynamics of the climate system, through an interactive computer simulation. Evaluation results so far have shown that the exercise is highly engaging and memorable and that it motivates large majorities of participants (>70%) to take action on climate change. In addition, we have found that it leads to substantial gains in understanding key systems thinking concepts (e.g., the stock-flow behavior of atmospheric CO2), as well as improvements in understanding of climate change causes and impacts. While research is still needed to better understand the impacts of simulation-based role-playing exercises like World Climate on behavior change, long-term understanding, transfer of systems thinking skills across topics, and the importance of social learning during the exercise, our results to date indicate that it is a powerful, active learning tool that has strong potential to foster deep learning about climate change.

  9. Otolaryngology--head and neck surgery in undergraduate medical education: advances and innovations.

    PubMed

    Fung, Kevin

    2015-02-01

    Medical students graduate with the knowledge and skills to be undifferentiated general physicians. Otolaryngology-head and neck surgery (OtoHNS) is an essential component of primary healthcare, but is disproportionately under-represented in undergraduate medical education (UME). Advances and innovations in educational technology may represent an exciting and creative solution to this important problem. Failure to meet this educational need will result in substantial downstream effects in primary healthcare delivery. The objectives of this study were to 1) demonstrate current deficits in OtoHNS teaching at the UME level; 2) develop, validate, and critically appraise educational innovations that may enrich OtoHNS teaching in medical school curricula; and 3) propose a process for standardization of learning objectives for OtoHNS in UME as it relates to development and deployment of such educational tools. A white paper, prepared as a Triological Society thesis, which consolidates a prospective 10-year investigation of the problem of and potential solutions for under-representation of OtoHNS in UME. Cited datasets include multicenter surveys, cohort studies, and prospective, randomized controlled trials. A series of published and unpublished data were synthesized that addresses the following: 1) the current state of OtoHNS teaching at the UME level with respect to content, volume, structure, and methods; and 2) educational innovations including e-learning and simulation with emphasis on validity and learning effectiveness. Educational innovations specific to postgraduate (residency) training were excluded. Data support the observation that there is uniformly disproportionate under-representation of OtoHNS within UME curricula. Medical school graduates, especially those pursuing primary care specialties, report poor overall comfort levels in managing OtoHNS problems. A series of novel teaching methods were developed and validated using e-learning and simulation. Selected technologies may have a role in medical student teaching. It has been shown that e-learning has limited value in teaching complex spatial anatomy to novice learners, but good value in teaching basic clinical knowledge and selected technical skills. The role of simulation as it pertains to the novice learner is evolving. Important factors to consider during development of these tools include: 1) knowledge base and learning style of the learner, 2) complexity and nature of the learning objectives, 3) understanding the features and limitations of different technological genres, and 4) a team approach to module development. There remains a role for traditional teaching paradigms such as lectures, labs, and standardized patients; however, the choice of instructional genre should be fundamentally tailored to the nature of the learning outcomes. Enriching OtoHNS teaching in medical school is essential optimize primary care delivered to patients. Although e-learning and simulation are broadly accepted and desirable by today's medical students, these technologies should be woven into the fabric of UME pedagogical principles judiciously, and only after empiric assessment. Foundational to the development and implementation of these technologies is the framework of standardized competency-based learning objectives, common to all graduating medical students. NA © 2014 The American Laryngological, Rhinological and Otological Society, Inc.

  10. Filopodia: A Rapid Structural Plasticity Substrate for Fast Learning

    PubMed Central

    Ozcan, Ahmet S.

    2017-01-01

    Formation of new synapses between neurons is an essential mechanism for learning and encoding memories. The vast majority of excitatory synapses occur on dendritic spines, therefore, the growth dynamics of spines is strongly related to the plasticity timescales. Especially in the early stages of the developing brain, there is an abundant number of long, thin and motile protrusions (i.e., filopodia), which develop in timescales of seconds and minutes. Because of their unique morphology and motility, it has been suggested that filopodia can have a dual role in both spinogenesis and environmental sampling of potential axonal partners. I propose that filopodia can lower the threshold and reduce the time to form new dendritic spines and synapses, providing a substrate for fast learning. Based on this proposition, the functional role of filopodia during brain development is discussed in relation to learning and memory. Specifically, it is hypothesized that the postnatal brain starts with a single-stage memory system with filopodia playing a significant role in rapid structural plasticity along with the stability provided by the mushroom-shaped spines. Following the maturation of the hippocampus, this highly-plastic unitary system transitions to a two-stage memory system, which consists of a plastic temporary store and a long-term stable store. In alignment with these architectural changes, it is posited that after brain maturation, filopodia-based structural plasticity will be preserved in specific areas, which are involved in fast learning (e.g., hippocampus in relation to episodic memory). These propositions aim to introduce a unifying framework for a diversity of phenomena in the brain such as synaptogenesis, pruning and memory consolidation. PMID:28676753

  11. Optimizing Requirements Decisions with KEYS

    NASA Technical Reports Server (NTRS)

    Jalali, Omid; Menzies, Tim; Feather, Martin

    2008-01-01

    Recent work with NASA's Jet Propulsion Laboratory has allowed for external access to five of JPL's real-world requirements models, anonymized to conceal proprietary information, but retaining their computational nature. Experimentation with these models, reported herein, demonstrates a dramatic speedup in the computations performed on them. These models have a well defined goal: select mitigations that retire risks which, in turn, increases the number of attainable requirements. Such a non-linear optimization is a well-studied problem. However identification of not only (a) the optimal solution(s) but also (b) the key factors leading to them is less well studied. Our technique, called KEYS, shows a rapid way of simultaneously identifying the solutions and their key factors. KEYS improves on prior work by several orders of magnitude. Prior experiments with simulated annealing or treatment learning took tens of minutes to hours to terminate. KEYS runs much faster than that; e.g for one model, KEYS ran 13,000 times faster than treatment learning (40 minutes versus 0.18 seconds). Processing these JPL models is a non-linear optimization problem: the fewest mitigations must be selected while achieving the most requirements. Non-linear optimization is a well studied problem. With this paper, we challenge other members of the PROMISE community to improve on our results with other techniques.

  12. [Simulation-based learning and internal medicine: Opportunities and current perspectives for a national harmonized program].

    PubMed

    Galland, J; Abbara, S; Terrier, B; Samson, M; Tesnières, A; Fournier, J P; Braun, M

    2018-06-01

    Simulation-based learning (SBL) is developing rapidly in France and the question of its use in the teaching of internal medicine (IM) is essential. While HAS encourages its integration into medical education, French Young Internists (AJI) set up a working group to reflect on the added-value of this tool in our specialty. Different sorts of SBL exist: human, synthetic and electronic. It enables student to acquire and evaluate technical skills (strengths, invasive procedures, etc.) and non-technical skills (relational, reasoning…). The debriefing that follows the simulation session is an essential time in pedagogical terms. It enables the acquisition of knowledge by encouraging the students' reflection to reshape their reasoning patterns by self-correcting. IM interns are supportive of its use. The simulation would allow young internists to acquire skills specific to our specialty such as certain gestures, complex consulting management, the synthesis of difficult clinical cases. SBL remains confronted with human and financial cost issues. The budgets allocated to the development and maintenance of simulation centres are uneven, making the supply of training unequal on the territory. Simulation sessions are time-consuming and require teacher training. Are faculties ready to train and invest their time in simulation, even though the studies do not allow us to conclude on its pedagogical validity? Copyright © 2018 Société Nationale Française de Médecine Interne (SNFMI). Published by Elsevier SAS. All rights reserved.

  13. Simulation fails to replicate stress in trainees performing a technical procedure in the clinical environment.

    PubMed

    Baker, B G; Bhalla, A; Doleman, B; Yarnold, E; Simons, S; Lund, J N; Williams, J P

    2017-01-01

    Simulation-based training (SBT) has become an increasingly important method by which doctors learn. Stress has an impact upon learning, performance, technical, and non-technical skills. However, there are currently no studies that compare stress in the clinical and simulated environment. We aimed to compare objective (heart rate variability, HRV) and subjective (state trait anxiety inventory, STAI) measures of stress theatre with a simulated environment. HRV recordings were obtained from eight anesthetic trainees performing an uncomplicated rapid sequence induction at pre-determined procedural steps using a wireless Polar RS800CX monitor © in an emergency theatre setting. This was repeated in the simulated environment. Participants completed an STAI before and after the procedure. Eight trainees completed the study. The theatre environment caused an increase in objective stress vs baseline (p = .004). There was no significant difference between average objective stress levels across all time points (p = .20) between environments. However, there was a significant interaction between the variables of objective stress and environment (p = .045). There was no significant difference in subjective stress (p = .27) between environments. Simulation was unable to accurately replicate the stress of the technical procedure. This is the first study that compares the stress during SBT with the theatre environment and has implications for the assessment of simulated environments for use in examinations, rating of technical and non-technical skills, and stress management training.

  14. MO-B-BRB-01: Optimize Treatment Planning Process in Clinical Environment

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Feng, W.

    The radiotherapy treatment planning process has evolved over the years with innovations in treatment planning, treatment delivery and imaging systems. Treatment modality and simulation technologies are also rapidly improving and affecting the planning process. For example, Image-guided-radiation-therapy has been widely adopted for patient setup, leading to margin reduction and isocenter repositioning after simulation. Stereotactic Body radiation therapy (SBRT) and Radiosurgery (SRS) have gradually become the standard of care for many treatment sites, which demand a higher throughput for the treatment plans even if the number of treatments per day remains the same. Finally, simulation, planning and treatment are traditionally sequentialmore » events. However, with emerging adaptive radiotherapy, they are becoming more tightly intertwined, leading to iterative processes. Enhanced efficiency of planning is therefore becoming more critical and poses serious challenge to the treatment planning process; Lean Six Sigma approaches are being utilized increasingly to balance the competing needs for speed and quality. In this symposium we will discuss the treatment planning process and illustrate effective techniques for managing workflow. Topics will include: Planning techniques: (a) beam placement, (b) dose optimization, (c) plan evaluation (d) export to RVS. Planning workflow: (a) import images, (b) Image fusion, (c) contouring, (d) plan approval (e) plan check (f) chart check, (g) sequential and iterative process Influence of upstream and downstream operations: (a) simulation, (b) immobilization, (c) motion management, (d) QA, (e) IGRT, (f) Treatment delivery, (g) SBRT/SRS (h) adaptive planning Reduction of delay between planning steps with Lean systems due to (a) communication, (b) limited resource, (b) contour, (c) plan approval, (d) treatment. Optimizing planning processes: (a) contour validation (b) consistent planning protocol, (c) protocol/template sharing, (d) semi-automatic plan evaluation, (e) quality checklist for error prevention, (f) iterative process, (g) balance of speed and quality Learning Objectives: Gain familiarity with the workflow of modern treatment planning process. Understand the scope and challenges of managing modern treatment planning processes. Gain familiarity with Lean Six Sigma approaches and their implementation in the treatment planning workflow.« less

  15. MO-B-BRB-00: Optimizing the Treatment Planning Process

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    NONE

    The radiotherapy treatment planning process has evolved over the years with innovations in treatment planning, treatment delivery and imaging systems. Treatment modality and simulation technologies are also rapidly improving and affecting the planning process. For example, Image-guided-radiation-therapy has been widely adopted for patient setup, leading to margin reduction and isocenter repositioning after simulation. Stereotactic Body radiation therapy (SBRT) and Radiosurgery (SRS) have gradually become the standard of care for many treatment sites, which demand a higher throughput for the treatment plans even if the number of treatments per day remains the same. Finally, simulation, planning and treatment are traditionally sequentialmore » events. However, with emerging adaptive radiotherapy, they are becoming more tightly intertwined, leading to iterative processes. Enhanced efficiency of planning is therefore becoming more critical and poses serious challenge to the treatment planning process; Lean Six Sigma approaches are being utilized increasingly to balance the competing needs for speed and quality. In this symposium we will discuss the treatment planning process and illustrate effective techniques for managing workflow. Topics will include: Planning techniques: (a) beam placement, (b) dose optimization, (c) plan evaluation (d) export to RVS. Planning workflow: (a) import images, (b) Image fusion, (c) contouring, (d) plan approval (e) plan check (f) chart check, (g) sequential and iterative process Influence of upstream and downstream operations: (a) simulation, (b) immobilization, (c) motion management, (d) QA, (e) IGRT, (f) Treatment delivery, (g) SBRT/SRS (h) adaptive planning Reduction of delay between planning steps with Lean systems due to (a) communication, (b) limited resource, (b) contour, (c) plan approval, (d) treatment. Optimizing planning processes: (a) contour validation (b) consistent planning protocol, (c) protocol/template sharing, (d) semi-automatic plan evaluation, (e) quality checklist for error prevention, (f) iterative process, (g) balance of speed and quality Learning Objectives: Gain familiarity with the workflow of modern treatment planning process. Understand the scope and challenges of managing modern treatment planning processes. Gain familiarity with Lean Six Sigma approaches and their implementation in the treatment planning workflow.« less

  16. MO-B-BRB-03: Systems Engineering Tools for Treatment Planning Process Optimization in Radiation Medicine

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Kapur, A.

    The radiotherapy treatment planning process has evolved over the years with innovations in treatment planning, treatment delivery and imaging systems. Treatment modality and simulation technologies are also rapidly improving and affecting the planning process. For example, Image-guided-radiation-therapy has been widely adopted for patient setup, leading to margin reduction and isocenter repositioning after simulation. Stereotactic Body radiation therapy (SBRT) and Radiosurgery (SRS) have gradually become the standard of care for many treatment sites, which demand a higher throughput for the treatment plans even if the number of treatments per day remains the same. Finally, simulation, planning and treatment are traditionally sequentialmore » events. However, with emerging adaptive radiotherapy, they are becoming more tightly intertwined, leading to iterative processes. Enhanced efficiency of planning is therefore becoming more critical and poses serious challenge to the treatment planning process; Lean Six Sigma approaches are being utilized increasingly to balance the competing needs for speed and quality. In this symposium we will discuss the treatment planning process and illustrate effective techniques for managing workflow. Topics will include: Planning techniques: (a) beam placement, (b) dose optimization, (c) plan evaluation (d) export to RVS. Planning workflow: (a) import images, (b) Image fusion, (c) contouring, (d) plan approval (e) plan check (f) chart check, (g) sequential and iterative process Influence of upstream and downstream operations: (a) simulation, (b) immobilization, (c) motion management, (d) QA, (e) IGRT, (f) Treatment delivery, (g) SBRT/SRS (h) adaptive planning Reduction of delay between planning steps with Lean systems due to (a) communication, (b) limited resource, (b) contour, (c) plan approval, (d) treatment. Optimizing planning processes: (a) contour validation (b) consistent planning protocol, (c) protocol/template sharing, (d) semi-automatic plan evaluation, (e) quality checklist for error prevention, (f) iterative process, (g) balance of speed and quality Learning Objectives: Gain familiarity with the workflow of modern treatment planning process. Understand the scope and challenges of managing modern treatment planning processes. Gain familiarity with Lean Six Sigma approaches and their implementation in the treatment planning workflow.« less

  17. MO-B-BRB-02: Maintain the Quality of Treatment Planning for Time-Constraint Cases

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Chang, J.

    The radiotherapy treatment planning process has evolved over the years with innovations in treatment planning, treatment delivery and imaging systems. Treatment modality and simulation technologies are also rapidly improving and affecting the planning process. For example, Image-guided-radiation-therapy has been widely adopted for patient setup, leading to margin reduction and isocenter repositioning after simulation. Stereotactic Body radiation therapy (SBRT) and Radiosurgery (SRS) have gradually become the standard of care for many treatment sites, which demand a higher throughput for the treatment plans even if the number of treatments per day remains the same. Finally, simulation, planning and treatment are traditionally sequentialmore » events. However, with emerging adaptive radiotherapy, they are becoming more tightly intertwined, leading to iterative processes. Enhanced efficiency of planning is therefore becoming more critical and poses serious challenge to the treatment planning process; Lean Six Sigma approaches are being utilized increasingly to balance the competing needs for speed and quality. In this symposium we will discuss the treatment planning process and illustrate effective techniques for managing workflow. Topics will include: Planning techniques: (a) beam placement, (b) dose optimization, (c) plan evaluation (d) export to RVS. Planning workflow: (a) import images, (b) Image fusion, (c) contouring, (d) plan approval (e) plan check (f) chart check, (g) sequential and iterative process Influence of upstream and downstream operations: (a) simulation, (b) immobilization, (c) motion management, (d) QA, (e) IGRT, (f) Treatment delivery, (g) SBRT/SRS (h) adaptive planning Reduction of delay between planning steps with Lean systems due to (a) communication, (b) limited resource, (b) contour, (c) plan approval, (d) treatment. Optimizing planning processes: (a) contour validation (b) consistent planning protocol, (c) protocol/template sharing, (d) semi-automatic plan evaluation, (e) quality checklist for error prevention, (f) iterative process, (g) balance of speed and quality Learning Objectives: Gain familiarity with the workflow of modern treatment planning process. Understand the scope and challenges of managing modern treatment planning processes. Gain familiarity with Lean Six Sigma approaches and their implementation in the treatment planning workflow.« less

  18. What can virtual patient simulation offer mental health nursing education?

    PubMed

    Guise, V; Chambers, M; Välimäki, M

    2012-06-01

    This paper discusses the use of simulation in nursing education and training, including potential benefits and barriers associated with its use. In particular, it addresses the hitherto scant application of diverse simulation devices and dedicated simulation scenarios in psychiatric and mental health nursing. It goes on to describe a low-cost, narrative-based virtual patient simulation technique which has the potential for wide application within health and social care education. An example of the implementation of this technology in a web-based pilot course for acute mental health nurses is given. This particular virtual patient technique is a simulation type ideally suited to promoting essential mental health nursing skills such as critical thinking, communication and decision making. Furthermore, it is argued that it is particularly amenable to e-learning and blended learning environments, as well as being an apt tool where multilingual simulations are required. The continued development, implementation and evaluation of narrative virtual patient simulations across a variety of health and social care programmes would help ascertain their success as an educational tool. © 2011 Blackwell Publishing.

  19. The Effects of Rapid Assessments and Adaptive Restudy Prompts in Multimedia Learning

    ERIC Educational Resources Information Center

    Renkl, Alexander; Skuballa, Irene T.; Schwonke, Rolf; Harr, Nora; Leber, Jasmin

    2015-01-01

    We investigated the effects of rapid assessment tasks and different adaptive restudy prompts in multimedia learning. The adaptivity was based on rapid assessment tasks that were interspersed throughout a multimedia learning environment. In Experiment 1 (N = 52 university students), we analyzed to which extent rapid assessment tasks were reactive…

  20. Machine Learning and Deep Learning Models to Predict Runoff Water Quantity and Quality

    NASA Astrophysics Data System (ADS)

    Bradford, S. A.; Liang, J.; Li, W.; Murata, T.; Simunek, J.

    2017-12-01

    Contaminants can be rapidly transported at the soil surface by runoff to surface water bodies. Physically-based models, which are based on the mathematical description of main hydrological processes, are key tools for predicting surface water impairment. Along with physically-based models, data-driven models are becoming increasingly popular for describing the behavior of hydrological and water resources systems since these models can be used to complement or even replace physically based-models. In this presentation we propose a new data-driven model as an alternative to a physically-based overland flow and transport model. First, we have developed a physically-based numerical model to simulate overland flow and contaminant transport (the HYDRUS-1D overland flow module). A large number of numerical simulations were carried out to develop a database containing information about the impact of various input parameters (weather patterns, surface topography, vegetation, soil conditions, contaminants, and best management practices) on runoff water quantity and quality outputs. This database was used to train data-driven models. Three different methods (Neural Networks, Support Vector Machines, and Recurrence Neural Networks) were explored to prepare input- output functional relations. Results demonstrate the ability and limitations of machine learning and deep learning models to predict runoff water quantity and quality.

  1. A Machine Learns to Predict the Stability of Tightly Packed Planetary Systems

    NASA Astrophysics Data System (ADS)

    Tamayo, Daniel; Silburt, Ari; Valencia, Diana; Menou, Kristen; Ali-Dib, Mohamad; Petrovich, Cristobal; Huang, Chelsea X.; Rein, Hanno; van Laerhoven, Christa; Paradise, Adiv; Obertas, Alysa; Murray, Norman

    2016-12-01

    The requirement that planetary systems be dynamically stable is often used to vet new discoveries or set limits on unconstrained masses or orbital elements. This is typically carried out via computationally expensive N-body simulations. We show that characterizing the complicated and multi-dimensional stability boundary of tightly packed systems is amenable to machine-learning methods. We find that training an XGBoost machine-learning algorithm on physically motivated features yields an accurate classifier of stability in packed systems. On the stability timescale investigated (107 orbits), it is three orders of magnitude faster than direct N-body simulations. Optimized machine-learning classifiers for dynamical stability may thus prove useful across the discipline, e.g., to characterize the exoplanet sample discovered by the upcoming Transiting Exoplanet Survey Satellite. This proof of concept motivates investing computational resources to train algorithms capable of predicting stability over longer timescales and over broader regions of phase space.

  2. Developing clinical scenarios from a European perspective: successes and challenges.

    PubMed

    Wiseman, Allison; Horton, Khim

    2011-10-01

    This paper presents developmental work involving students from the University College Dublin (UCD), Ireland (n=9), University of Surrey, England (n=8) and University of Ljubljana and University of Maribor, Slovenia (n=5) participating in the Erasmus Intensive Programme. The Erasmus programme offers a two week 'Summer School' in the Faculty of Health Sciences, University of Maribor, Slovenia. Using a participatory approach, facilitators from both the UCD and Surrey engaged with students from all of the universities to develop scenarios for simulated learning experiences, in the care of older people, for utilisation on an e learning facility and within the simulated clinical learning environment. Students developed key transferable skills in learning, such as information literacy, cultural diversity, team working, communication, and clinical skills acquisition whilst exploring differences in healthcare delivery in other European countries. Copyright © 2011 Elsevier Ltd. All rights reserved.

  3. Exploring learning content and knowledge transfer in baccalaureate nursing students using a hybrid mental health practice experience.

    PubMed

    Booth, Richard G; Scerbo, Christina Ko; Sinclair, Barbara; Hancock, Michele; Reid, David; Denomy, Eileen

    2017-04-01

    Little research has been completed exploring knowledge development and transfer from and between simulated and clinical practice settings in nurse education. This study sought to explore the content learned, and the knowledge transferred, in a hybrid mental health clinical course consisting of simulated and clinical setting experiences. A qualitative, interpretive descriptive study design. Clinical practice consisted of six 10-hour shifts in a clinical setting combined with six two-hour simulations. 12 baccalaureate nursing students enrolled in a compressed time frame program at a large, urban, Canadian university participated. Document analysis and a focus group were used to draw thematic representations of content and knowledge transfer between clinical environments (i.e., simulated and clinical settings) using the constant comparative data analysis technique. Four major themes arose: (a) professional nursing behaviors; (b) understanding of the mental health nursing role; (c) confidence gained in interview skills; and, (d) unexpected learning. Nurse educators should further explore the intermingling of simulation and clinical practice in terms of knowledge development and transfer with the goal of preparing students to function within the mental health nursing specialty. Copyright © 2017 Elsevier Ltd. All rights reserved.

  4. How does the brain rapidly learn and reorganize view-invariant and position-invariant object representations in the inferotemporal cortex?

    PubMed

    Cao, Yongqiang; Grossberg, Stephen; Markowitz, Jeffrey

    2011-12-01

    All primates depend for their survival on being able to rapidly learn about and recognize objects. Objects may be visually detected at multiple positions, sizes, and viewpoints. How does the brain rapidly learn and recognize objects while scanning a scene with eye movements, without causing a combinatorial explosion in the number of cells that are needed? How does the brain avoid the problem of erroneously classifying parts of different objects together at the same or different positions in a visual scene? In monkeys and humans, a key area for such invariant object category learning and recognition is the inferotemporal cortex (IT). A neural model is proposed to explain how spatial and object attention coordinate the ability of IT to learn invariant category representations of objects that are seen at multiple positions, sizes, and viewpoints. The model clarifies how interactions within a hierarchy of processing stages in the visual brain accomplish this. These stages include the retina, lateral geniculate nucleus, and cortical areas V1, V2, V4, and IT in the brain's What cortical stream, as they interact with spatial attention processes within the parietal cortex of the Where cortical stream. The model builds upon the ARTSCAN model, which proposed how view-invariant object representations are generated. The positional ARTSCAN (pARTSCAN) model proposes how the following additional processes in the What cortical processing stream also enable position-invariant object representations to be learned: IT cells with persistent activity, and a combination of normalizing object category competition and a view-to-object learning law which together ensure that unambiguous views have a larger effect on object recognition than ambiguous views. The model explains how such invariant learning can be fooled when monkeys, or other primates, are presented with an object that is swapped with another object during eye movements to foveate the original object. The swapping procedure is predicted to prevent the reset of spatial attention, which would otherwise keep the representations of multiple objects from being combined by learning. Li and DiCarlo (2008) have presented neurophysiological data from monkeys showing how unsupervised natural experience in a target swapping experiment can rapidly alter object representations in IT. The model quantitatively simulates the swapping data by showing how the swapping procedure fools the spatial attention mechanism. More generally, the model provides a unifying framework, and testable predictions in both monkeys and humans, for understanding object learning data using neurophysiological methods in monkeys, and spatial attention, episodic learning, and memory retrieval data using functional imaging methods in humans. Copyright © 2011 Elsevier Ltd. All rights reserved.

  5. Laboratory-Scale Simulation and Real-Time Tracking of a Microbial Contamination Event and Subsequent Shock-Chlorination in Drinking Water

    PubMed Central

    Besmer, Michael D.; Sigrist, Jürg A.; Props, Ruben; Buysschaert, Benjamin; Mao, Guannan; Boon, Nico; Hammes, Frederik

    2017-01-01

    Rapid contamination of drinking water in distribution and storage systems can occur due to pressure drop, backflow, cross-connections, accidents, and bio-terrorism. Small volumes of a concentrated contaminant (e.g., wastewater) can contaminate large volumes of water in a very short time with potentially severe negative health impacts. The technical limitations of conventional, cultivation-based microbial detection methods neither allow for timely detection of such contaminations, nor for the real-time monitoring of subsequent emergency remediation measures (e.g., shock-chlorination). Here we applied a newly developed continuous, ultra high-frequency flow cytometry approach to track a rapid pollution event and subsequent disinfection of drinking water in an 80-min laboratory scale simulation. We quantified total (TCC) and intact (ICC) cell concentrations as well as flow cytometric fingerprints in parallel in real-time with two different staining methods. The ingress of wastewater was detectable almost immediately (i.e., after 0.6% volume change), significantly changing TCC, ICC, and the flow cytometric fingerprint. Shock chlorination was rapid and detected in real time, causing membrane damage in the vast majority of bacteria (i.e., drop of ICC from more than 380 cells μl-1 to less than 30 cells μl-1 within 4 min). Both of these effects as well as the final wash-in of fresh tap water followed calculated predictions well. Detailed and highly quantitative tracking of microbial dynamics at very short time scales and for different characteristics (e.g., concentration, membrane integrity) is feasible. This opens up multiple possibilities for targeted investigation of a myriad of bacterial short-term dynamics (e.g., disinfection, growth, detachment, operational changes) both in laboratory-scale research and full-scale system investigations in practice. PMID:29085343

  6. Learning to Achieve Perfect Timesharing: Architectural Implications of Hazeltine, Teague, and Ivry (2002)

    ERIC Educational Resources Information Center

    Anderson, John R.; Taatgen, Niels A.; Byrne, Michael D.

    2005-01-01

    E. Hazeltine, D. Teague, and R. B. Ivry have presented data that have been interpreted as evidence against a central bottleneck. This article describes simulations of their Experiments 1 and 4 in the ACT-R cognitive architecture, which does possess a central bottleneck in production execution. The simulation model is capable of accounting for the…

  7. Analysis and Visualization of Relations in eLearning

    NASA Astrophysics Data System (ADS)

    Dráždilová, Pavla; Obadi, Gamila; Slaninová, Kateřina; Martinovič, Jan; Snášel, Václav

    The popularity of eLearning systems is growing rapidly; this growth is enabled by the consecutive development in Internet and multimedia technologies. Web-based education became wide spread in the past few years. Various types of learning management systems facilitate development of Web-based courses. Users of these courses form social networks through the different activities performed by them. This chapter focuses on searching the latent social networks in eLearning systems data. These data consist of students activity records wherein latent ties among actors are embedded. The social network studied in this chapter is represented by groups of students who have similar contacts and interact in similar social circles. Different methods of data clustering analysis can be applied to these groups, and the findings show the existence of latent ties among the group members. The second part of this chapter focuses on social network visualization. Graphical representation of social network can describe its structure very efficiently. It can enable social network analysts to determine the network degree of connectivity. Analysts can easily determine individuals with a small or large amount of relationships as well as the amount of independent groups in a given network. When applied to the field of eLearning, data visualization simplifies the process of monitoring the study activities of individuals or groups, as well as the planning of educational curriculum, the evaluation of study processes, etc.

  8. Passenger baggage object database (PBOD)

    NASA Astrophysics Data System (ADS)

    Gittinger, Jaxon M.; Suknot, April N.; Jimenez, Edward S.; Spaulding, Terry W.; Wenrich, Steve A.

    2018-04-01

    Detection of anomalies of interest in x-ray images is an ever-evolving problem that requires the rapid development of automatic detection algorithms. Automatic detection algorithms are developed using machine learning techniques, which would require developers to obtain the x-ray machine that was used to create the images being trained on, and compile all associated metadata for those images by hand. The Passenger Baggage Object Database (PBOD) and data acquisition application were designed and developed for acquiring and persisting 2-D and 3-D x-ray image data and associated metadata. PBOD was specifically created to capture simulated airline passenger "stream of commerce" luggage data, but could be applied to other areas of x-ray imaging to utilize machine-learning methods.

  9. Activation of the G protein-coupled estrogen receptor, but not estrogen receptor α or β, rapidly enhances social learning.

    PubMed

    Ervin, Kelsy Sharice Jean; Mulvale, Erin; Gallagher, Nicola; Roussel, Véronique; Choleris, Elena

    2015-08-01

    Social learning is a highly adaptive process by which an animal acquires information from a conspecific. While estrogens are known to modulate learning and memory, much of this research focuses on individual learning. Estrogens have been shown to enhance social learning on a long-term time scale, likely via genomic mechanisms. Estrogens have also been shown to affect individual learning on a rapid time scale through cell-signaling cascades, rather than via genomic effects, suggesting they may also rapidly influence social learning. We therefore investigated the effects of 17β-estradiol and involvement of the estrogen receptors (ERs) using the ERα agonist propyl pyrazole triol, the ERβ agonist diarylpropionitrile, and the G protein-coupled ER 1 (GPER1) agonist G1 on the social transmission of food preferences (STFP) task, within a time scale that focused on the rapid effects of estrogens. General ER activation with 17β-estradiol resulted in a modest facilitation of social learning, with mice showing a preference up to 30min of testing. Specific activation of the GPER1 also rapidly enhanced social learning, with mice showing a socially learned preference up to 2h of testing. ERα activation instead shortened the expression of a socially learned food preference, while ERβ activation had little to no effects. Thus, rapid estrogenic modulation of social learning in the STFP may be the outcome of competing action at the three main receptors. Hence, estrogens' rapid effects on social learning likely depend on the specific ERs present in brain regions recruited during social learning. Copyright © 2015 Elsevier Ltd. All rights reserved.

  10. Guidance, Navigation and Control (GN and C) Design Overview and Flight Test Results from NASA's Max Launch Abort System (MLAS)

    NASA Technical Reports Server (NTRS)

    Dennehy, Cornelius J.; Lanzi, Raymond J.; Ward, Philip R.

    2010-01-01

    The National Aeronautics and Space Administration Engineering and Safety Center designed, developed and flew the alternative Max Launch Abort System (MLAS) as risk mitigation for the baseline Orion spacecraft launch abort system already in development. The NESC was tasked with both formulating a conceptual objective system design of this alternative MLAS as well as demonstrating this concept with a simulated pad abort flight test. Less than 2 years after Project start the MLAS simulated pad abort flight test was successfully conducted from Wallops Island on July 8, 2009. The entire flight test duration was 88 seconds during which time multiple staging events were performed and nine separate critically timed parachute deployments occurred as scheduled. This paper provides an overview of the guidance navigation and control technical approaches employed on this rapid prototyping activity; describes the methodology used to design the MLAS flight test vehicle; and lessons that were learned during this rapid prototyping project are also summarized.

  11. Migration Related Socio-Cultural Changes and e-Learning in a European Globalising Society

    ERIC Educational Resources Information Center

    Leman, Johan; Trappers, Ann; Brandon, Emily; Ruppol, Xavier

    2008-01-01

    OECD figures (1998-2002) reveal a sharply increasing flow of foreign workers into European countries. Ethnic diversification has become a generalized matter of fact. At the same time, rapidly developing technology and "intellectual globalization" processes--the world wide web--have also become a reality. This complex cluster of changes…

  12. Integrated Collaborative E-Learning for the Global Management Education in the 21st Century

    ERIC Educational Resources Information Center

    Son, Barbara W. K.

    2017-01-01

    Rapidly growing information and communications technology and a more interconnected global world offer benefits and challenges to global business organizations. While exploring benefits from global workforce and global production, they must successfully adapt to their local market conditions and manage their multicultural resources. How can we…

  13. Developing E-Learning Solutions in the Automotive Industry

    ERIC Educational Resources Information Center

    Bogdan, Razvan; Ancusa, Versavia

    2016-01-01

    In the rapid developing market of automotive industry, cutting-edge technologies are being introduced. One such example is the AUTOSAR standard. Companies are investing a large amount of finances for the training of their employees into the intricacies of such technologies. In order to face such an increase of the training costs, automotive…

  14. Online Continuing Education for Health Professionals: Does Sticky Design Promote Practice-Relevance?

    ERIC Educational Resources Information Center

    Zaghab, Roxanne Ward; Maldonado, Carlos; Whitehead, Dongsook; Bartlett, Felicia; de Bittner, Magaly Rodriguez

    2015-01-01

    Online continuing education (CE) holds promise as an effective method for rapid dissemination of emerging evidence-based practices in health care. Yet, the field of CE continues to develop and delivery is predominately face-to-face programs. Practice-oriented online educational methods and e-learning platforms are not fully utilized. Educational…

  15. Learning non-local dependencies.

    PubMed

    Kuhn, Gustav; Dienes, Zoltán

    2008-01-01

    This paper addresses the nature of the temporary storage buffer used in implicit or statistical learning. Kuhn and Dienes [Kuhn, G., and Dienes, Z. (2005). Implicit learning of nonlocal musical rules: implicitly learning more than chunks. Journal of Experimental Psychology-Learning Memory and Cognition, 31(6) 1417-1432] showed that people could implicitly learn a musical rule that was solely based on non-local dependencies. These results seriously challenge models of implicit learning that assume knowledge merely takes the form of linking adjacent elements (chunking). We compare two models that use a buffer to allow learning of long distance dependencies, the Simple Recurrent Network (SRN) and the memory buffer model. We argue that these models - as models of the mind - should not be evaluated simply by fitting them to human data but by determining the characteristic behaviour of each model. Simulations showed for the first time that the SRN could rapidly learn non-local dependencies. However, the characteristic performance of the memory buffer model rather than SRN more closely matched how people came to like different musical structures. We conclude that the SRN is more powerful than previous demonstrations have shown, but it's flexible learned buffer does not explain people's implicit learning (at least, the affective learning of musical structures) as well as fixed memory buffer models do.

  16. Developing technology-enhanced active learning for medical education: challenges, solutions, and future directions.

    PubMed

    McCoy, Lise; Pettit, Robin K; Lewis, Joy H; Bennett, Thomas; Carrasco, Noel; Brysacz, Stanley; Makin, Inder Raj S; Hutman, Ryan; Schwartz, Frederic N

    2015-04-01

    Growing up in an era of video games and Web-based applications has primed current medical students to expect rapid, interactive feedback. To address this need, the A.T. Still University-School of Osteopathic Medicine in Arizona (Mesa) has developed and integrated a variety of approaches using technology-enhanced active learning for medical education (TEAL-MEd) into its curriculum. Over the course of 3 years (2010-2013), the authors facilitated more than 80 implementations of games and virtual patient simulations into the education of 550 osteopathic medical students. The authors report on 4 key aspects of the TEAL-MEd initiative, including purpose, portfolio of tools, progress to date regarding challenges and solutions, and future directions. Lessons learned may be of benefit to medical educators at academic and clinical training sites who wish to implement TEAL-MEd activities.

  17. Information system analysis of an e-learning system used for dental restorations simulation.

    PubMed

    Bogdan, Crenguţa M; Popovici, Dorin M

    2012-09-01

    The goal of using virtual and augmented reality technologies in therapeutic interventions simulation, in the fixed prosthodontics (VirDenT) project, is to increase the quality of the educational process in dental faculties, by assisting students in learning how to prepare teeth for all-ceramic restorations. Its main component is an e-learning virtual reality-based software system that will be used for the developing skills in grinding teeth, needed in all-ceramic restorations. The complexity of the domain problem that the software system dealt with made the analysis of the information system supported by VirDenT necessary. The analysis contains the following activities: identification and classification of the system stakeholders, description of the business processes, formulation of the business rules, and modelling of business objects. During this stage, we constructed the context diagram, the business use case diagram, the activity diagrams and the class diagram of the domain model. These models are useful for the further development of the software system that implements the VirDenT information system. Copyright © 2011 Elsevier Ireland Ltd. All rights reserved.

  18. Monitoring and evaluation of disaster response efforts undertaken by local health departments: a rapid realist review.

    PubMed

    Gossip, Kate; Gouda, Hebe; Lee, Yong Yi; Firth, Sonja; Bermejo, Raoul; Zeck, Willibald; Jimenez Soto, Eliana

    2017-06-29

    Local health departments are often at the forefront of a disaster response, attending to the immediate trauma inflicted by the disaster and also the long term health consequences. As the frequency and severity of disasters are projected to rise, monitoring and evaluation (M&E) efforts are critical to help local health departments consolidate past experiences and improve future response efforts. Local health departments often conduct M&E work post disaster, however, many of these efforts fail to improve response procedures. We undertook a rapid realist review (RRR) to examine why M&E efforts undertaken by local health departments do not always result in improved disaster response efforts. We aimed to complement existing frameworks by focusing on the most basic and pragmatic steps of a M&E cycle targeted towards continuous system improvements. For these purposes, we developed a theoretical framework that draws on the quality improvement literature to 'frame' the steps in the M&E cycle. This framework encompassed a M&E cycle involving three stages (i.e., document and assess, disseminate and implement) that must be sequentially completed to learn from past experiences and improve future disaster response efforts. We used this framework to guide our examination of the literature and to identify any context-mechanism-outcome (CMO) configurations which describe how M&E may be constrained or enabled at each stage of the M&E cycle. This RRR found a number of explanatory CMO configurations that provide valuable insights into some of the considerations that should be made when using M&E to improve future disaster response efforts. Firstly, to support the accurate documentation and assessment of a disaster response, local health departments should consider how they can: establish a culture of learning within health departments; use embedded training methods; or facilitate external partnerships. Secondly, to enhance the widespread dissemination of lessons learned and facilitate inter-agency learning, evaluation reports should use standardised formats and terminology. Lastly, to increase commitment to improvement processes, local health department leaders should possess positive leadership attributes and encourage shared decision making. This study is among the first to conduct a synthesis of the CMO configurations which facilitate or hinder M&E efforts aimed at improving future disaster responses. It makes a significant contribution to the disaster literature and provides an evidence base that can be used to provide pragmatic guidance for improving M&E efforts of local health departments. PROSPERO 2015: CRD42015023526 .

  19. Simulation and anaesthesia

    PubMed Central

    Bhagwat, Milind

    2012-01-01

    Training in anaesthesia relies on the duration and quality of clinical experience. It involves exposure to a range of interventions. This works well in routine cases, but when an uncommon and life-threatening event occurs, the anaesthetist needs to carry out multiple tasks simultaneously. Aviation has remarkable similarities with the practice of anaesthesia. Over the years, the aviation industry has used simulation to train and assess individuals very effectively. Anaesthetists face rapidly evolving clinical situations. This needs appropriate decision-making and communication with others in the theatre team. Simulation, using current technology, offers innovative and reproducible training experience. It enables standardised scenario building and reflective learning. Various non-technical aspects of an anaesthetist's day-to-day work could also be addressed to during such training. The technology could be used very effectively for the assessment of competence too. Simulation has been used for technology development and appraisal over the years. PMID:22529414

  20. Merged or monolithic? Using machine-learning to reconstruct the dynamical history of simulated star clusters

    NASA Astrophysics Data System (ADS)

    Pasquato, Mario; Chung, Chul

    2016-05-01

    Context. Machine-learning (ML) solves problems by learning patterns from data with limited or no human guidance. In astronomy, ML is mainly applied to large observational datasets, e.g. for morphological galaxy classification. Aims: We apply ML to gravitational N-body simulations of star clusters that are either formed by merging two progenitors or evolved in isolation, planning to later identify globular clusters (GCs) that may have a history of merging from observational data. Methods: We create mock-observations from simulated GCs, from which we measure a set of parameters (also called features in the machine-learning field). After carrying out dimensionality reduction on the feature space, the resulting datapoints are fed in to various classification algorithms. Using repeated random subsampling validation, we check whether the groups identified by the algorithms correspond to the underlying physical distinction between mergers and monolithically evolved simulations. Results: The three algorithms we considered (C5.0 trees, k-nearest neighbour, and support-vector machines) all achieve a test misclassification rate of about 10% without parameter tuning, with support-vector machines slightly outperforming the others. The first principal component of feature space correlates with cluster concentration. If we exclude it from the regression, the performance of the algorithms is only slightly reduced.

  1. Learning to manage complexity through simulation: students' challenges and possible strategies.

    PubMed

    Gormley, Gerard J; Fenwick, Tara

    2016-06-01

    Many have called for medical students to learn how to manage complexity in healthcare. This study examines the nuances of students' challenges in coping with a complex simulation learning activity, using concepts from complexity theory, and suggests strategies to help them better understand and manage complexity.Wearing video glasses, participants took part in a simulation ward-based exercise that incorporated characteristics of complexity. Video footage was used to elicit interviews, which were transcribed. Using complexity theory as a theoretical lens, an iterative approach was taken to identify the challenges that participants faced and possible coping strategies using both interview transcripts and video footage.Students' challenges in coping with clinical complexity included being: a) unprepared for 'diving in', b) caught in an escalating system, c) captured by the patient, and d) unable to assert boundaries of acceptable practice.Many characteristics of complexity can be recreated in a ward-based simulation learning activity, affording learners an embodied and immersive experience of these complexity challenges. Possible strategies for managing complexity themes include: a) taking time to size up the system, b) attuning to what emerges, c) reducing complexity, d) boundary practices, and e) working with uncertainty. This study signals pedagogical opportunities for recognizing and dealing with complexity.

  2. Virtual biomedical universities and e-learning.

    PubMed

    Beux, P Le; Fieschi, M

    2007-01-01

    In this special issue on virtual biomedical universities and e-learning we will make a survey on the principal existing teaching applications of ICT used in medical Schools around the world. In the following we identify five types of research and experiments in this field of medical e-learning and virtual medical universities. The topics of this special issue goes from educational computer program to create and simulate virtual patients with a wide variety of medical conditions in different clinical settings and over different time frames to using distance learning in developed and developing countries program training medical informatics of clinicians. We also present the necessity of good indexing and research tools for training resources together with workflows to manage the multiple source content of virtual campus or universities and the virtual digital video resources. A special attention is given to training new generations of clinicians in ICT tools and methods to be used in clinical settings as well as in medical schools.

  3. From resilience to vulnerability: mechanistic insights into the effects of stress on transitions in critical period plasticity.

    PubMed

    Callaghan, Bridget L; Graham, Bronwyn M; Li, Stella; Richardson, Rick

    2013-01-01

    While early experiences are proposed to be important for the emergence of anxiety and other mental health problems, there is little empirical research examining the impact of such experiences on the development of emotional learning. Of the research that has been performed in this area, however, a complex picture has emerged in which the maturation of emotion circuits is influenced by the early experiences of the animal. For example, under typical laboratory rearing conditions infant rats rapidly forget learned fear associations (infantile amnesia) and express a form of extinction learning which is relapse-resistant (i.e., extinction in infant rats may be due to fear erasure). In contrast, adult rats exhibit very long-lasting memories of past learned fear associations, and express a form of extinction learning that is relapse-prone (i.e., the fear returns in a number of situations). However, when rats are reared under stressful conditions then they exhibit adult-like fear retention and extinction behaviors at an earlier stage of development (i.e., good retention of learned fear and relapse-prone extinction learning). In other words, under typical rearing conditions infant rats appear to be protected from exhibiting anxiety whereas after adverse rearing fear learning appears to make those infants more vulnerable to the later development of anxiety. While the effects of different experiences on infant rats' fear retention and extinction are becoming better documented, the mechanisms which mediate the early transition seen following stress remain unclear. Here we suggest that rearing stress may lead to an early maturation of the molecular and cellular signals shown to be involved in the closure of critical period plasticity in sensory modalities (e.g., maturation of GABAergic neurons, development of perineuronal nets), and speculate that these signals could be manipulated in adulthood to reopen infant forms of emotional learning (i.e., those that favor resilience).

  4. Virtual reality simulators for gastrointestinal endoscopy training

    PubMed Central

    Triantafyllou, Konstantinos; Lazaridis, Lazaros Dimitrios; Dimitriadis, George D

    2014-01-01

    The use of simulators as educational tools for medical procedures is spreading rapidly and many efforts have been made for their implementation in gastrointestinal endoscopy training. Endoscopy simulation training has been suggested for ascertaining patient safety while positively influencing the trainees’ learning curve. Virtual simulators are the most promising tool among all available types of simulators. These integrated modalities offer a human-like endoscopy experience by combining virtual images of the gastrointestinal tract and haptic realism with using a customized endoscope. From their first steps in the 1980s until today, research involving virtual endoscopic simulators can be divided in two categories: investigation of the impact of virtual simulator training in acquiring endoscopy skills and measuring competence. Emphasis should also be given to the financial impact of their implementation in endoscopy, including the cost of these state-of-the-art simulators and the potential economic benefits from their usage. Advances in technology will contribute to the upgrade of existing models and the development of new ones; while further research should be carried out to discover new fields of application. PMID:24527175

  5. One Giant Leap for Categorizers: One Small Step for Categorization Theory

    PubMed Central

    Smith, J. David; Ell, Shawn W.

    2015-01-01

    We explore humans’ rule-based category learning using analytic approaches that highlight their psychological transitions during learning. These approaches confirm that humans show qualitatively sudden psychological transitions during rule learning. These transitions contribute to the theoretical literature contrasting single vs. multiple category-learning systems, because they seem to reveal a distinctive learning process of explicit rule discovery. A complete psychology of categorization must describe this learning process, too. Yet extensive formal-modeling analyses confirm that a wide range of current (gradient-descent) models cannot reproduce these transitions, including influential rule-based models (e.g., COVIS) and exemplar models (e.g., ALCOVE). It is an important theoretical conclusion that existing models cannot explain humans’ rule-based category learning. The problem these models have is the incremental algorithm by which learning is simulated. Humans descend no gradient in rule-based tasks. Very different formal-modeling systems will be required to explain humans’ psychology in these tasks. An important next step will be to build a new generation of models that can do so. PMID:26332587

  6. Dissociation of rapid response learning and facilitation in perceptual and conceptual networks of person recognition.

    PubMed

    Valt, Christian; Klein, Christoph; Boehm, Stephan G

    2015-08-01

    Repetition priming is a prominent example of non-declarative memory, and it increases the accuracy and speed of responses to repeatedly processed stimuli. Major long-hold memory theories posit that repetition priming results from facilitation within perceptual and conceptual networks for stimulus recognition and categorization. Stimuli can also be bound to particular responses, and it has recently been suggested that this rapid response learning, not network facilitation, provides a sound theory of priming of object recognition. Here, we addressed the relevance of network facilitation and rapid response learning for priming of person recognition with a view to advance general theories of priming. In four experiments, participants performed conceptual decisions like occupation or nationality judgments for famous faces. The magnitude of rapid response learning varied across experiments, and rapid response learning co-occurred and interacted with facilitation in perceptual and conceptual networks. These findings indicate that rapid response learning and facilitation in perceptual and conceptual networks are complementary rather than competing theories of priming. Thus, future memory theories need to incorporate both rapid response learning and network facilitation as individual facets of priming. © 2014 The British Psychological Society.

  7. Probabilities and predictions: modeling the development of scientific problem-solving skills.

    PubMed

    Stevens, Ron; Johnson, David F; Soller, Amy

    2005-01-01

    The IMMEX (Interactive Multi-Media Exercises) Web-based problem set platform enables the online delivery of complex, multimedia simulations, the rapid collection of student performance data, and has already been used in several genetic simulations. The next step is the use of these data to understand and improve student learning in a formative manner. This article describes the development of probabilistic models of undergraduate student problem solving in molecular genetics that detailed the spectrum of strategies students used when problem solving, and how the strategic approaches evolved with experience. The actions of 776 university sophomore biology majors from three molecular biology lecture courses were recorded and analyzed. Each of six simulations were first grouped by artificial neural network clustering to provide individual performance measures, and then sequences of these performances were probabilistically modeled by hidden Markov modeling to provide measures of progress. The models showed that students with different initial problem-solving abilities choose different strategies. Initial and final strategies varied across different sections of the same course and were not strongly correlated with other achievement measures. In contrast to previous studies, we observed no significant gender differences. We suggest that instructor interventions based on early student performances with these simulations may assist students to recognize effective and efficient problem-solving strategies and enhance learning.

  8. M.A.E.G.U.S.: Measuring alternate energy generation via unity simulation

    NASA Astrophysics Data System (ADS)

    Nataraja, Kavin Muhilan

    This paper presents the MAEGUS serious game and a study to determine its efficacy as a pedagogical tool. The MAEGUS serious game teaches sustainable energy concepts through gameplay simulating wind turbines and solar arrays. Players take the role of an energy manager for a city and use realistic data and information visualizations to learn the physical factors of wind and solar energy generation. The MAEGUS serious game study compares game assisted learning to a more traditional teaching method such as reading material in a crossover study, the results of which can inform future serious game development for educational purposes.

  9. Rapid effects of the G-protein coupled oestrogen receptor (GPER) on learning and dorsal hippocampus dendritic spines in female mice.

    PubMed

    Gabor, Christopher; Lymer, Jennifer; Phan, Anna; Choleris, Elena

    2015-10-01

    Recently, oestrogen receptors (ERs) have been implicated in rapid learning processes. We have previously shown that 17β-estradiol, ERα and ERβ agonists can improve learning within 40 min of drug administration in mice. However, oestrogen action at the classical receptors may only in part explain these rapid learning effects. Chronic treatment of a G-protein coupled oestrogen receptor (GPER) agonist has been shown to affect learning and memory in ovariectomized rats, yet little is known about its rapid learning effects. Therefore we investigated whether the GPER agonist G-1 at 1 μg/kg, 6 μg/kg, 10 μg/kg, and 30 μg/kg could affect social recognition, object recognition, and object placement learning in ovariectomized CD1 mice within 40 min of drug administration. We also examined rapid effects of G-1 on CA1 hippocampal dendritic spine density and length within 40 min of drug administration, but in the absence of any learning tests. Results suggest a rapid enhancing effect of GPER activation on social recognition, object recognition and object placement learning. G-1 treatment also resulted in increased dendritic spine density in the stratum radiatum of the CA1 hippocampus. Hence GPER, along with the classical ERs, may mediate the rapid effects of oestrogen on learning and neuronal plasticity. To our knowledge, this is the first report of GPER effects occurring within a 40 min time frame. Copyright © 2015 Elsevier Inc. All rights reserved.

  10. [Variation in closeness to reality of standardized resuscitation scenarios : Effects on the success of cognitive learning of medical students].

    PubMed

    Schaumberg, A

    2015-04-01

    Simulation often relies on a case-based learning approach and is used as a teaching tool for a variety of audiences. The knowledge transfer goes beyond the mere exchange of soft skills and practical abilities and also includes practical knowledge and decision-making behavior; however, verification of knowledge or practical skills seldom unfolds during simulations. Simulation-based learning seems to affect many learning domains and can, therefore, be considered to be multifactorial in nature. At present, studies examining the effects of learning environments with varying levels of reality on the cognitive long-term retention of students are lacking. The present study focused on the question whether case scenarios with varying levels of reality produce differences in the cognitive long-term retention of students, in particular with regard to the learning dimensions knowledge, understanding and transfer. The study was conducted on 153 students in the first clinical semester at the Justus-Liebig University of Giessen. Students were randomly selected and subsequently assigned, also in a random fashion, to two practice groups, i.e. realistic and unrealistic. In both groups the students were presented with standardized case scenarios consisting of three case studies, which were accurately defined with a case report containing a detailed description of each scenario and all relevant values so as to ensure identical conditions for both groups. The unrealistic group sat in an unfurnished practice room as a learning environment. The realistic group sat in a furnished learning environment with various background pictures and ambient noise. Students received examination questions before, immediately following and 14 days after the practice. Examination questions were identical at each of the three time points, classified into three learning dimensions following Bloom's taxonomy and evaluated. Furthermore, examination questions were supplemented by a questionnaire concerning the individual perception of reality and own learning success, to be filled in by students immediately after the practice. Examination questions and questionnaires were anonymous but associated with each other. Even with less experienced participants, realistic simulation design led to a significant increase of knowledge immediately after the end of the simulation. This effect, however, did not impact the cognitive long-term retention of students. While the realistic group showed a higher initial knowledge after the simulation, this "knowledge delta" was forgotten within 14 days, putting them back on par with the unrealistic comparison group. It could be significantly demonstrated that 2 weeks after the practice, comprehension questions were answered better than those on pure knowledge. Therefore, it can be concluded that even vaguely realistic simulation scenarios affect the learning dimension of understanding. For simulation-based learning the outcome depends not only on knowledge, practical skills and motivational variables but also on the onset of negative emotions, perception of own ability and personality profile. Simulation training alone does not appear to guarantee learning success but it seems to be necessary to establish a simulation setting suitable for the education level, needs and personality characteristics of the students.

  11. Free energy, precision and learning: the role of cholinergic neuromodulation

    PubMed Central

    Moran, Rosalyn J.; Campo, Pablo; Symmonds, Mkael; Stephan, Klaas E.; Dolan, Raymond J.; Friston, Karl J.

    2014-01-01

    Acetylcholine (ACh) is a neuromodulatory transmitter implicated in perception and learning under uncertainty. This study combined computational simulations and pharmaco-electroencephalography in humans, to test a formulation of perceptual inference based upon the free energy principle. This formulation suggests that acetylcholine enhances the precision of bottom-up synaptic transmission in cortical hierarchies by optimising the gain of supragranular pyramidal cells. Simulations of a mismatch negativity paradigm predicted a rapid trial-by-trial suppression of evoked sensory prediction error (PE) responses that is attenuated by cholinergic neuromodulation. We confirmed this prediction empirically with a placebo-controlled study of cholinesterase inhibition. Furthermore – using dynamic causal modelling – we found that drug-induced differences in PE responses could be explained by gain modulation in supragranular pyramidal cells in primary sensory cortex. This suggests that acetylcholine adaptively enhances sensory precision by boosting bottom-up signalling when stimuli are predictable, enabling the brain to respond optimally under different levels of environmental uncertainty. PMID:23658161

  12. Lessons Learned from Biosphere 2: When Viewed as a Ground Simulation/Analogue for Long Duration Human Space Exploration and Settlement

    NASA Astrophysics Data System (ADS)

    MacCallum, T.; Poynter, J.; Bearden, D.

    A human mission to Mars, or a base on the Moon or Mars, is a longer and more complex mission than any space endeavor undertaken to date. Ground simulations provide a relevant, analogous environment for testing technologies and learning how to manage complex, long duration missions, while addressing inherent mission risks. Multiphase human missions and settlements that may preclude a rapid return to Earth, require high fidelity, end-to-end, at least full mission duration tests in order to evaluate a system's ability to sustain the crew for the entire mission and return the crew safely to Earth. Moreover, abort scenarios are essentially precluded in many mission scenarios, though certain risks may only become evident late in the mission. Aging and compounding effects cannot be simulated through accelerated tests for all aspects of the mission. Until such high fidelity long duration simulations are available, and in order to help prepare those simulations and mission designs, it is important to extract as many lessons as possible from analogous environments. Possibly the best analogue for a long duration space mission is the two year mission of Biosphere 2. Biosphere 2 is a three-acre materially closed ecological system that supported eight crewmembers with food, air and water in a sunlight driven bioregenerative system for two years. It was designed for research applicable to environmental management on Earth and the development of human life support for space. A brief overview of the two-year Biosphere 2 mission is presented, followed by select data and lessons learned that are applicable to the design and operation of a long duration human space mission, settlement or test bed. These lessons include technical, programmatic, and psychological issues

  13. Learning outdoors: male lizards show flexible spatial learning under semi-natural conditions

    PubMed Central

    Noble, Daniel W. A.; Carazo, Pau; Whiting, Martin J.

    2012-01-01

    Spatial cognition is predicted to be a fundamental component of fitness in many lizard species, and yet some studies suggest that it is relatively slow and inflexible. However, such claims are based on work conducted using experimental designs or in artificial contexts that may underestimate their cognitive abilities. We used a biologically realistic experimental procedure (using simulated predatory attacks) to study spatial learning and its flexibility in the lizard Eulamprus quoyii in semi-natural outdoor enclosures under similar conditions to those experienced by lizards in the wild. To evaluate the flexibility of spatial learning, we conducted a reversal spatial-learning task in which positive and negative reinforcements of learnt spatial stimuli were switched. Nineteen (32%) male lizards learnt both tasks within 10 days (spatial task mean: 8.16 ± 0.69 (s.e.) and reversal spatial task mean: 10.74 ± 0.98 (s.e.) trials). We demonstrate that E. quoyii are capable of flexible spatial learning and suggest that future studies focus on a range of lizard species which differ in phylogeny and/or ecology, using biologically relevant cognitive tasks, in an effort to bridge the cognitive divide between ecto- and endotherms. PMID:23075525

  14. The rationality of prejudices.

    PubMed

    Chadefaux, Thomas; Helbing, Dirk

    2012-01-01

    We model an N-player repeated prisoner's dilemma in which players are given traits (e.g., height, age, wealth) which, we assume, affect their behavior. The relationship between traits and behavior is unknown to other players. We then analyze the performance of "prejudiced" strategies--strategies that draw inferences based on the observation of some or all of these traits, and extrapolate the inferred behavior to other carriers of these traits. Such prejudiced strategies have the advantage of learning rapidly, and hence of being well adapted to rapidly changing conditions that might result, for example, from high migration or birth rates. We find that they perform remarkably well, and even systematically outperform both Tit-For-Tat and ALLD when the population changes rapidly.

  15. Why is number word learning hard? Evidence from bilingual learners.

    PubMed

    Wagner, Katie; Kimura, Katherine; Cheung, Pierina; Barner, David

    2015-12-01

    Young children typically take between 18 months and 2 years to learn the meanings of number words. In the present study, we investigated this developmental trajectory in bilingual preschoolers to examine the relative contributions of two factors in number word learning: (1) the construction of numerical concepts, and (2) the mapping of language specific words onto these concepts. We found that children learn the meanings of small number words (i.e., one, two, and three) independently in each language, indicating that observed delays in learning these words are attributable to difficulties in mapping words to concepts. In contrast, children generally learned to accurately count larger sets (i.e., five or greater) simultaneously in their two languages, suggesting that the difficulty in learning to count is not tied to a specific language. We also replicated previous studies that found that children learn the counting procedure before they learn its logic - i.e., that for any natural number, n, the successor of n in the count list denotes the cardinality n+1. Consistent with past studies, we found that children's knowledge of successors is first acquired incrementally. In bilinguals, we found that this knowledge exhibits item-specific transfer between languages, suggesting that the logic of the positive integers may not be stored in a language-specific format. We conclude that delays in learning the meanings of small number words are mainly due to language-specific processes of mapping words to concepts, whereas the logic and procedures of counting appear to be learned in a format that is independent of a particular language and thus transfers rapidly from one language to the other in development. Copyright © 2015. Published by Elsevier Inc.

  16. ExpoCast Framework for Rapid Exposure Forecasts (ISES ExpoDat symposium presentation)

    EPA Science Inventory

    The U.S. E.P.A. ExpoCast project uses high throughput exposure models (simulation) and any easily-obtained exposure heuristics to generate forward predictions of potential exposures from chemical properties. By comparison with exposures inferred via reverse pharmacokinetic modeli...

  17. Adaptive Standard Operating Procedures for Complex Disasters

    DTIC Science & Technology

    2017-03-01

    Developments in Business Simulation and Experiential Learning 33 (2014). 23 Patrick Lagadec and Benjamin Topper, “How Crises Model the Modern World...field of crisis response . Therefore, this experiment supports the argument for implementing the adaptive design proposals. The adaptive SOP enhancement...Kalay. “An Event- Based Model to Simulate Human Behaviour in Built Environments.” Proceedings of the 30th eCAADe Conference 1 (2012). Snowden

  18. Training, Simulation, the Learning Curve, and How to Reduce Complications in Urology.

    PubMed

    Brunckhorst, Oliver; Volpe, Alessandro; van der Poel, Henk; Mottrie, Alexander; Ahmed, Kamran

    2016-04-01

    Urology is at the forefront of minimally invasive surgery to a great extent. These procedures produce additional learning challenges and possess a steep initial learning curve. Training and assessment methods in surgical specialties such as urology are known to lack clear structure and often rely on differing operative flow experienced by individuals and institutions. This article aims to assess current urology training modalities, to identify the role of simulation within urology, to define and identify the learning curves for various urologic procedures, and to discuss ways to decrease complications in the context of training. A narrative review of the literature was conducted through December 2015 using the PubMed/Medline, Embase, and Cochrane Library databases. Evidence of the validity of training methods in urology includes observation of a procedure, mentorship and fellowship, e-learning, and simulation-based training. Learning curves for various urologic procedures have been recommended based on the available literature. The importance of structured training pathways is highlighted, with integration of modular training to ensure patient safety. Valid training pathways are available in urology. The aim in urology training should be to combine all of the available evidence to produce procedure-specific curricula that utilise the vast array of training methods available to ensure that we continue to improve patient outcomes and reduce complications. The current evidence for different training methods available in urology, including simulation-based training, was reviewed, and the learning curves for various urologic procedures were critically analysed. Based on the evidence, future pathways for urology curricula have been suggested to ensure that patient safety is improved. Copyright © 2016 European Association of Urology. Published by Elsevier B.V. All rights reserved.

  19. Avatars, Media Usage, and the Linkages to E-learning Effectiveness

    DTIC Science & Technology

    2011-03-01

    modalities. American Journal of Business Education, 3(12), 65-76. Carini, R.M., Klein, S.P., & Kuh, G.D. (2006). Student engagement and student learning...1989). Student Engagement and High School Reform. Educational Leadership, 46(5), 34. Patel, L. (2010). Continued dedication to workplace...game. Training and Simulation Journal (11)6, 38-40. 37 Ruhe, V. (2006). A Toolkit for Writing Surveys to Measure Student Engagement , Reflective

  20. Dorsoventral and Proximodistal Hippocampal Processing Account for the Influences of Sleep and Context on Memory (Re)consolidation: A Connectionist Model

    PubMed Central

    Lines, Justin

    2017-01-01

    The context in which learning occurs is sufficient to reconsolidate stored memories and neuronal reactivation may be crucial to memory consolidation during sleep. The mechanisms of context-dependent and sleep-dependent memory (re)consolidation are unknown but involve the hippocampus. We simulated memory (re)consolidation using a connectionist model of the hippocampus that explicitly accounted for its dorsoventral organization and for CA1 proximodistal processing. Replicating human and rodent (re)consolidation studies yielded the following results. (1) Semantic overlap between memory items and extraneous learning was necessary to explain experimental data and depended crucially on the recurrent networks of dorsal but not ventral CA3. (2) Stimulus-free, sleep-induced internal reactivations of memory patterns produced heterogeneous recruitment of memory items and protected memories from subsequent interference. These simulations further suggested that the decrease in memory resilience when subjects were not allowed to sleep following learning was primarily due to extraneous learning. (3) Partial exposure to the learning context during simulated sleep (i.e., targeted memory reactivation) uniformly increased memory item reactivation and enhanced subsequent recall. Altogether, these results show that the dorsoventral and proximodistal organization of the hippocampus may be important components of the neural mechanisms for context-based and sleep-based memory (re)consolidations. PMID:28757864

  1. Clustered lot quality assurance sampling to assess immunisation coverage: increasing rapidity and maintaining precision.

    PubMed

    Pezzoli, Lorenzo; Andrews, Nick; Ronveaux, Olivier

    2010-05-01

    Vaccination programmes targeting disease elimination aim to achieve very high coverage levels (e.g. 95%). We calculated the precision of different clustered lot quality assurance sampling (LQAS) designs in computer-simulated surveys to provide local health officers in the field with preset LQAS plans to simply and rapidly assess programmes with high coverage targets. We calculated sample size (N), decision value (d) and misclassification errors (alpha and beta) of several LQAS plans by running 10 000 simulations. We kept the upper coverage threshold (UT) at 90% or 95% and decreased the lower threshold (LT) progressively by 5%. We measured the proportion of simulations with < or =d individuals unvaccinated or lower if the coverage was set at the UT (pUT) to calculate beta (1-pUT) and the proportion of simulations with >d unvaccinated individuals if the coverage was LT% (pLT) to calculate alpha (1-pLT). We divided N in clusters (between 5 and 10) and recalculated the errors hypothesising that the coverage would vary in the clusters according to a binomial distribution with preset standard deviations of 0.05 and 0.1 from the mean lot coverage. We selected the plans fulfilling these criteria: alpha < or = 5% beta < or = 20% in the unclustered design; alpha < or = 10% beta < or = 25% when the lots were divided in five clusters. When the interval between UT and LT was larger than 10% (e.g. 15%), we were able to select precise LQAS plans dividing the lot in five clusters with N = 50 (5 x 10) and d = 4 to evaluate programmes with 95% coverage target and d = 7 to evaluate programmes with 90% target. These plans will considerably increase the feasibility and the rapidity of conducting the LQAS in the field.

  2. Effects of Learning Support in Simulation-Based Physics Learning

    ERIC Educational Resources Information Center

    Chang, Kuo-En; Chen, Yu-Lung; Lin, He-Yan; Sung, Yao-Ting

    2008-01-01

    This paper describes the effects of learning support on simulation-based learning in three learning models: experiment prompting, a hypothesis menu, and step guidance. A simulation learning system was implemented based on these three models, and the differences between simulation-based learning and traditional laboratory learning were explored in…

  3. A parameter control method in reinforcement learning to rapidly follow unexpected environmental changes.

    PubMed

    Murakoshi, Kazushi; Mizuno, Junya

    2004-11-01

    In order to rapidly follow unexpected environmental changes, we propose a parameter control method in reinforcement learning that changes each of learning parameters in appropriate directions. We determine each appropriate direction on the basis of relationships between behaviors and neuromodulators by considering an emergency as a key word. Computer experiments show that the agents using our proposed method could rapidly respond to unexpected environmental changes, not depending on either two reinforcement learning algorithms (Q-learning and actor-critic (AC) architecture) or two learning problems (discontinuous and continuous state-action problems).

  4. Evolution of Software-Only-Simulation at NASA IV and V

    NASA Technical Reports Server (NTRS)

    McCarty, Justin; Morris, Justin; Zemerick, Scott

    2014-01-01

    Software-Only-Simulations have been an emerging but quickly developing field of study throughout NASA. The NASA Independent Verification Validation (IVV) Independent Test Capability (ITC) team has been rapidly building a collection of simulators for a wide range of NASA missions. ITC specializes in full end-to-end simulations that enable developers, VV personnel, and operators to test-as-you-fly. In four years, the team has delivered a wide variety of spacecraft simulations that have ranged from low complexity science missions such as the Global Precipitation Management (GPM) satellite and the Deep Space Climate Observatory (DSCOVR), to the extremely complex missions such as the James Webb Space Telescope (JWST) and Space Launch System (SLS).This paper describes the evolution of ITCs technologies and processes that have been utilized to design, implement, and deploy end-to-end simulation environments for various NASA missions. A comparison of mission simulators are discussed with focus on technology and lessons learned in complexity, hardware modeling, and continuous integration. The paper also describes the methods for executing the missions unmodified flight software binaries (not cross-compiled) for verification and validation activities.

  5. The Implications for Teaching and Learning of New Informatics Developments. I.E.T. Papers on Broadcasting No. 233.

    ERIC Educational Resources Information Center

    Bates, A. W.

    By the year 2000, European higher education institutions must achieve the following aims: resolve the conflict between the social demand for education and costs of higher education without lowering standards; provide continuing education to cope with rapid technological change and increased leisure and/or unemployment; build even closer links…

  6. A Method for Extracting Sensory Motor Skills and Designing a Training System

    ERIC Educational Resources Information Center

    Doyo, Daisuke; Ohara, Atushi; Shida, Keisuke; Matsumoto, Toshiyuki; Otomo, Kazuo

    2009-01-01

    Two years ago, the rapid retirement of the "baby boomer artisans" in vast numbers threatened to erode the competitiveness of Japanese manufacturers (i.e., the 2007 problem). This study proposes a practical process for extracting skills and designing a training system, to accelerate the learning of skills in production fields by younger…

  7. Relative Levels of eLearning Readiness, Applications and Trainee Requirements in Botswana's Private Sector

    ERIC Educational Resources Information Center

    Nleya, Paul T.

    2009-01-01

    The rapid growth and modernization of economies in developing countries like Botswana creates new and unmet demands for certain kinds of educated and skilled labour. The expansion of secondary and tertiary school systems has also created a problem of unemployed school leavers. The growth of Information and Communication Technologies (ICTs),…

  8. The Design and Evaluation of a Computerized Adaptive Test on Mobile Devices

    ERIC Educational Resources Information Center

    Triantafillou, Evangelos; Georgiadou, Elissavet; Economides, Anastasios A.

    2008-01-01

    The use of computerized adaptive testing (CAT) has expanded rapidly over recent years mainly due to the advances in communication and information technology. Availability of advanced mobile technologies provides several benefits to e-learning by creating an additional channel of access with mobile devices such as PDAs and mobile phones. This paper…

  9. A Comprehensive Rubric for Instructional Design in E-Learning

    ERIC Educational Resources Information Center

    Debattista, Martin

    2018-01-01

    Purpose: The recognition of practice in online instruction is still subject to interpretation and different approaches as a result of the rapid changes in technology and its effect on society. The purpose of this paper is to address these differences through a synthesis that can be easily accessed and consulted by educators in the field of…

  10. Online Adjunct Faculty: A Quantitative Examination of the Predictive Relationship between Leadership and Job Satisfaction

    ERIC Educational Resources Information Center

    Barnett, Donald E.

    2018-01-01

    Advances in technology and the rapid expansion and affordability of the internet have helped facilitate the use of online education, or e-learning. To accommodate increased online enrollments, universities are hiring adjunct faculty to teach online courses. Despite the importance of adjunct faculty, there is a lack of research on the experiences…

  11. 2004 Education Industry

    DTIC Science & Technology

    2004-01-01

    they may donate older equipment to K-12 schools for e- education . A great deal of learning can occur with minimal technology . WHY TARGET TEACHERS...success to continue, the education industry must respond to globalization, rapidly advancing technologies , and demographic changes in the US. The...of Education , Baltimore, MD Massachusetts Institute of Technology , Cambridge, MA Minuteman Regional High School of Applied Arts and Sciences

  12. Dynamical role of Ekman pumping in rapidly rotating convection

    NASA Astrophysics Data System (ADS)

    Stellmach, Stephan; Julien, Keith; Cheng, Jonathan; Aurnou, Jonathan

    2015-04-01

    The exact nature of the mechanical boundary conditions (i.e. no-slip versus stress-free) is usually considered to be of secondary importance in the rapidly rotating parameter regime characterizing planetary cores. While they have considerable influence for the Ekman numbers achievable in today's global simulations, for planetary values both the viscous Ekman layers and the associated secondary flows are generally expected to become negligibly small. In fact, usually the main purpose of using stress-free boundary conditions in numerical dynamo simulations is to suppress unrealistically large friction and pumping effects. In this study, we investigate the influence of the mechanical boundary conditions on core convection systematically. By restricting ourselves to the idealized case of rapidly rotating Rayleigh-Bénard convection, we are able to combine results from direct numerical simulations (DNS), laboratory experiments and asymptotic theory into a coherent picture. Contrary to the general expectation, we show that the dynamical effects of Ekman pumping increase with decreasing Ekman number over the investigated parameter range. While stress-free DNS results converge to the asymptotic predictions, both no-slip simulations and laboratory experiments consistently reveal increasingly large deviations from the existing asymptotic theory based on dynamically passive Ekman layers. The implications of these results for core dynamics are discussed briefly.

  13. Asymmetric core collapse of rapidly rotating massive star

    NASA Astrophysics Data System (ADS)

    Gilkis, Avishai

    2018-02-01

    Non-axisymmetric features are found in the core collapse of a rapidly rotating massive star, which might have important implications for magnetic field amplification and production of a bipolar outflow that can explode the star, as well as for r-process nucleosynthesis and natal kicks. The collapse of an evolved rapidly rotating MZAMS = 54 M⊙ star is followed in three-dimensional hydrodynamic simulations using the FLASH code with neutrino leakage. A rotating proto-neutron star (PNS) forms with a non-zero linear velocity. This can contribute to the natal kick of the remnant compact object. The PNS is surrounded by a turbulent medium, where high shearing is likely to amplify magnetic fields, which in turn can drive a bipolar outflow. Neutron-rich material in the PNS vicinity might induce strong r-process nucleosynthesis. The rapidly rotating PNS possesses a rotational energy of E_rot ≳ 10^{52} erg. Magnetar formation proceeding in a similar fashion will be able to deposit a portion of this energy later on in the supernova ejecta through a spin-down mechanism. These processes can be important for rare supernovae generated by rapidly rotating progenitors, even though a complete explosion is not simulated in the present study.

  14. Simulation-Based e-Learning Tools for Science,Engineering, and Technology Education(SimBeLT)

    NASA Astrophysics Data System (ADS)

    Davis, Doyle V.; Cherner, Y.

    2006-12-01

    The focus of Project SimBeLT is the research, development, testing, and dissemination of a new type of simulation-based integrated e-learning set of modules for two-year college technical and engineering curricula in the areas of thermodynamics, fluid physics, and fiber optics that can also be used in secondary schools and four-year colleges. A collection of sophisticated virtual labs is the core component of the SimBeLT modules. These labs will be designed to enhance the understanding of technical concepts and underlying fundamental principles of these topics, as well as to master certain performance based skills online. SimBeLT software will help educators to meet the National Science Education Standard that "learning science and technology is something that students do, not something that is done to them". A major component of Project SimBeLT is the development of multi-layered technology-oriented virtual labs that realistically mimic workplace-like environments. Dynamic data exchange between simulations will be implemented and links with instant instructional messages and data handling tools will be realized. A second important goal of Project SimBeLT labs is to bridge technical skills and scientific knowledge by enhancing the teaching and learning of specific scientific or engineering subjects. SimBeLT builds upon research and outcomes of interactive teaching strategies and tools developed through prior NSF funding (http://webphysics.nhctc.edu/compact/index.html) (Project SimBeLT is partially supported by a grant from the National Science Foundation DUE-0603277)

  15. An advanced simulator for orthopedic surgical training.

    PubMed

    Cecil, J; Gupta, Avinash; Pirela-Cruz, Miguel

    2018-02-01

    The purpose of creating the virtual reality (VR) simulator is to facilitate and supplement the training opportunities provided to orthopedic residents. The use of VR simulators has increased rapidly in the field of medical surgery for training purposes. This paper discusses the creation of the virtual surgical environment (VSE) for training residents in an orthopedic surgical process called less invasive stabilization system (LISS) surgery which is used to address fractures of the femur. The overall methodology included first obtaining an understanding of the LISS plating process through interactions with expert orthopedic surgeons and developing the information centric models. The information centric models provided a structured basis to design and build the simulator. Subsequently, the haptic-based simulator was built. Finally, the learning assessments were conducted in a medical school. The results from the learning assessments confirm the effectiveness of the VSE for teaching medical residents and students. The scope of the assessment was to ensure (1) the correctness and (2) the usefulness of the VSE. Out of 37 residents/students who participated in the test, 32 showed improvements in their understanding of the LISS plating surgical process. A majority of participants were satisfied with the use of teaching Avatars and haptic technology. A paired t test was conducted to test the statistical significance of the assessment data which showed that the data were statistically significant. This paper demonstrates the usefulness of adopting information centric modeling approach in the design and development of the simulator. The assessment results underscore the potential of using VR-based simulators in medical education especially in orthopedic surgery.

  16. Climate Literacy in the Classroom: Supporting Teachers in the Transition to NGSS

    NASA Astrophysics Data System (ADS)

    Rogers, M. J. B.; Merrill, J.; Harcourt, P.; Petrone, C.; Shea, N.; Mead, H.

    2014-12-01

    Meeting the challenge of climate change will clearly require 'deep learning' - learning that motivates a search for underlying meaning, a willingness to exert the sustained effort needed to understand complex problems, and innovative problem-solving. This type of learning is dependent on the level of the learner's engagement with the material, their intrinsic motivation to learn, intention to understand, and relevance of the material to the learner. Here, we present evidence for deep learning about climate change through a simulation-based role-playing exercise, World Climate. The exercise puts participants into the roles of delegates to the United Nations climate negotiations and asks them to create an international climate deal. They find out the implications of their decisions, according to the best available science, through the same decision-support computer simulation used to provide feedback for the real-world negotiations, C-ROADS. World Climate provides an opportunity for participants have an immersive, social experience in which they learn first-hand about both the social dynamics of climate change decision-making, through role-play, and the dynamics of the climate system, through an interactive computer simulation. Evaluation results so far have shown that the exercise is highly engaging and memorable and that it motivates large majorities of participants (>70%) to take action on climate change. In addition, we have found that it leads to substantial gains in understanding key systems thinking concepts (e.g., the stock-flow behavior of atmospheric CO2), as well as improvements in understanding of climate change causes and impacts. While research is still needed to better understand the impacts of simulation-based role-playing exercises like World Climate on behavior change, long-term understanding, transfer of systems thinking skills across topics, and the importance of social learning during the exercise, our results to date indicate that it is a powerful, active learning tool that has strong potential to foster deep learning about climate change.

  17. Instructional authoring by direct manipulation of simulations: Exploratory applications of RAPIDS. RAPIDS 2 authoring manual

    NASA Technical Reports Server (NTRS)

    1990-01-01

    RAPIDS II is a simulation-based intelligent tutoring system environment. It is a system for producing computer-based training courses that are built on the foundation of graphical simulations. RAPIDS II simulations can be animated and they can have continuously updating elements.

  18. Evaluating PLATO: postgraduate teaching and learning online.

    PubMed

    Brown, Menna; Bullock, Alison

    2014-02-01

      The use of the Internet as a teaching medium has increased rapidly over the last decade. PLATO (postgraduate learning and teaching online) was launched in 2008 by the e-learning unit (ELU) of Wales Deanery. Located within Learning@NHSWales, a Moodle virtual learning environment (VLE), it hosts a wide range of freely available courses and resources tailored to support the education, training and continuing professional development (CPD) needs of health care professionals working across the National Health Service (NHS) Wales. The evaluation aimed to identify the costs and benefits of PLATO, report its value as attributed by users, identify potential cost savings and make recommendations.   Five courses (case studies) were selected, representing the range of available e-learning resources: e-induction; fetal heart monitoring; cervical screening; GP prospective trainers; and tools for trainers. Mixed methods were used: one-to-one qualitative interviews, focus group discussions and surveys explored user views, and identified individual and organisational value.   Qualitative findings identified six key areas of value for users: ELU support and guidance; avoidance of duplication and standardisation; central reference; local control; flexibility for learners; and specific features. Survey results (n=72) indicated 72 per cent of consultants reported that PLATO was easy to access and user friendly. E-learning was rated as 'very/important' for CPD by 79 per cent of respondents. Key challenges were: access, navigation, user concerns, awareness and support.   PLATO supports education and helps deliver UK General Medical Council standards. Future plans should address the suggested recommendations to realise cost savings for NHS Wales and the Wales Deanery. The findings have wider applicability to others developing or using VLEs. © 2014 John Wiley & Sons Ltd.

  19. E-learning and education in radiology.

    PubMed

    Pinto, Antonio; Brunese, Luca; Pinto, Fabio; Acampora, Ciro; Romano, Luigia

    2011-06-01

    To evaluate current applications of e-learning in radiology. A Medline search was performed using PubMed (National Library of Medicine, Bethesda, MD) for publications discussing the applications of e-learning in radiology. The search strategy employed a single combination of the following terms: (1) e-learning, and (2) education and (3) radiology. This review was limited to human studies and to English-language literature. We reviewed all the titles and subsequent the abstract of 29 articles that appeared pertinent. Additional articles were identified by reviewing the reference lists of relevant papers. Finally, the full text of 38 selected articles was reviewed. Literature data shows that with the constant development of technology and global spread of computer networks, in particular of the Internet, the integration of multimedia and interactivity introduced into electronic publishing has allowed the creation of multimedia applications that provide valuable support for medical teaching and continuing medical education, specifically for radiology. Such technologies are valuable tools for collaboration, interactivity, simulation, and self-testing. However, not everything on the World Wide Web is useful, accurate, or beneficial: the quality and veracity of medical information on the World Wide Web is variable and much time can be wasted as many websites do not meet basic publication standards. E-learning will become an important source of education in radiology. Copyright © 2010 Elsevier Ireland Ltd. All rights reserved.

  20. Theoretical study of the ammonia nitridation rate on an Fe (100) surface: A combined density functional theory and kinetic Monte Carlo study

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Yeo, Sang Chul; Lee, Hyuck Mo, E-mail: hmlee@kaist.ac.kr; Lo, Yu Chieh

    2014-10-07

    Ammonia (NH{sub 3}) nitridation on an Fe surface was studied by combining density functional theory (DFT) and kinetic Monte Carlo (kMC) calculations. A DFT calculation was performed to obtain the energy barriers (E{sub b}) of the relevant elementary processes. The full mechanism of the exact reaction path was divided into five steps (adsorption, dissociation, surface migration, penetration, and diffusion) on an Fe (100) surface pre-covered with nitrogen. The energy barrier (E{sub b}) depended on the N surface coverage. The DFT results were subsequently employed as a database for the kMC simulations. We then evaluated the NH{sub 3} nitridation rate onmore » the N pre-covered Fe surface. To determine the conditions necessary for a rapid NH{sub 3} nitridation rate, the eight reaction events were considered in the kMC simulations: adsorption, desorption, dissociation, reverse dissociation, surface migration, penetration, reverse penetration, and diffusion. This study provides a real-time-scale simulation of NH{sub 3} nitridation influenced by nitrogen surface coverage that allowed us to theoretically determine a nitrogen coverage (0.56 ML) suitable for rapid NH{sub 3} nitridation. In this way, we were able to reveal the coverage dependence of the nitridation reaction using the combined DFT and kMC simulations.« less

  1. Simulation-based driver and vehicle crew training: applications, efficacy and future directions.

    PubMed

    Goode, Natassia; Salmon, Paul M; Lenné, Michael G

    2013-05-01

    Simulation is widely used as a training tool in many domains, and more recently the use of vehicle simulation as a tool for driver and vehicle crew training has become popular (de Winter et al., 2009; Pradhan et al., 2009). This paper presents an overview of how vehicle simulations are currently used to train driving-related procedural and higher-order cognitive skills, and team-based procedural and non-technical teamwork skills for vehicle crews, and evaluates whether there is evidence these training programs are effective. Efficacy was evaluated in terms of whether training achieves learning objectives and whether the attainment of those objectives enhances real world performance on target tasks. It was concluded that while some higher-order cognitive skills training programs have been shown to be effective, in general the adoption of simulation technology has far outstripped the pace of empirical research in this area. The paper concludes with a discussion of the issues that require consideration when developing and evaluating vehicle simulations for training purposes - based not only on what is known from the vehicle domain, but what can be inferred from other domains in which simulation is an established training approach, such as aviation (e.g. Jentsch et al., 2011) and medicine (e.g. McGaghie et al., 2010). STATEMENT OF RELEVANCE: Simulation has become a popular tool for driver and vehicle crew training in civilian and military settings. This review considers whether there is evidence that this training method leads to learning and the transfer of skills to real world performance. Evidence from other domains, such as aviation and medicine, is drawn upon to inform the design and evaluation of future vehicle simulation training systems. Copyright © 2012 Elsevier Ltd and The Ergonomics Society. All rights reserved.

  2. Are two heads better than one? Comparing dyad and self-regulated learning in simulation training.

    PubMed

    Shanks, David; Brydges, Ryan; den Brok, Wendie; Nair, Parvathy; Hatala, Rose

    2013-12-01

    The optimal learner to simulator ratio for procedural skills training is not known. Research in motor learning suggests observational training in pairs, termed 'dyad training', may be as effective as directed self-regulated learning (DSRL). This study was conducted to compare the relative effectiveness and efficiency of dyad versus DSRL training of simulation-based lumbar puncture (LP). We conducted a two-group randomised equivalence trial. First-year internal medicine residents (n = 50) were randomly assigned to learn LP either in dyads or as individual learners on a simulator, using a directed self-regulated approach (i.e. the learning sequence was defined for them, but they defined the pace of learning). Participants were videotaped performing a simulated LP on a pre-test, an immediate post-test, and a 6-week delayed retention test. In duplicate, blinded raters independently evaluated all trainee performances using a previously validated 5-point global rating scale (GRS) and 35-item checklist. Our analyses showed no significant differences (p = 0.69) on pre-test, post-test or retention test GRS scores between the dyad (mean ± standard deviation [SD] scores by test: 2.39 ± 0.57, 3.48 ± 0.62, 3.12 ± 0.85, respectively) and DSRL (mean ± SD scores by test: 2.67 ± 0.50, 3.34 ± 0.77, 3.21 ± 0.79, respectively) groups. Both groups improved significantly from pre-test to post-test (p < 0.001) and retained that performance following the 6-week delay. Dyad participants experienced significantly greater pre-test to post-test gains than DSRL participants (p = 0.02). There was no significant difference in total practice time between the groups (20.94 minutes for individuals and 24.20 minutes for dyads; p = 0.175). Our results indicate that learning in pairs is as effective as independent DSRL. Dyad training permits the more efficient use of simulators as two learners use the same resources as an individual. © 2013 John Wiley & Sons Ltd.

  3. Rapid Prototyping of Mobile Learning Games

    ERIC Educational Resources Information Center

    Federley, Maija; Sorsa, Timo; Paavilainen, Janne; Boissonnier, Kimo; Seisto, Anu

    2014-01-01

    This position paper presents the first results of an on-going project, in which we explore rapid prototyping method to efficiently produce digital learning solutions that are commercially viable. In this first phase, rapid game prototyping and an iterative approach was tested as a quick and efficient way to create learning games and to evaluate…

  4. Learning to Question: The Roles of Multiple Hypotheses, Successive Approximations, Balloons and Toilet Paper in University Science Programs of Southwestern Amazonia

    NASA Astrophysics Data System (ADS)

    Brown, I. Foster

    2008-06-01

    Learning to question is essential for determining pathways of conservation and development in southwestern Amazonia during a time of rapid global environmental change. Teaching such an approach in graduate science programs in regional universities can be done using play-acting and simulation exercises. Multiple working hypotheses help students learn to question their own research results and expert witnesses. The method of successive approximations enables students to question the results of complex calculations, such as estimates of forest biomass. Balloons and rolls of toilet paper provide means of questioning two-dimensional representations of a three-dimensional Earth and the value of pi. Generation of systematic errors can illustrate the pitfalls of blind acceptance of data. While learning to question is essential, it is insufficient by itself; students must also learn how to be solutionologists in order to satisfy societal demands for solutions to environmental problems. A little irreverence can be an excellent didactic tool for helping students develop the skills necessary to lead conservation and development efforts in the region.

  5. Coupling discrete and continuum concentration particle models for multiscale and hybrid molecular-continuum simulations

    NASA Astrophysics Data System (ADS)

    Petsev, Nikolai D.; Leal, L. Gary; Shell, M. Scott

    2017-12-01

    Hybrid molecular-continuum simulation techniques afford a number of advantages for problems in the rapidly burgeoning area of nanoscale engineering and technology, though they are typically quite complex to implement and limited to single-component fluid systems. We describe an approach for modeling multicomponent hydrodynamic problems spanning multiple length scales when using particle-based descriptions for both the finely resolved (e.g., molecular dynamics) and coarse-grained (e.g., continuum) subregions within an overall simulation domain. This technique is based on the multiscale methodology previously developed for mesoscale binary fluids [N. D. Petsev, L. G. Leal, and M. S. Shell, J. Chem. Phys. 144, 084115 (2016)], simulated using a particle-based continuum method known as smoothed dissipative particle dynamics. An important application of this approach is the ability to perform coupled molecular dynamics (MD) and continuum modeling of molecularly miscible binary mixtures. In order to validate this technique, we investigate multicomponent hybrid MD-continuum simulations at equilibrium, as well as non-equilibrium cases featuring concentration gradients.

  6. Electronic Business Transaction Infrastructure Analysis Using Petri Nets and Simulation

    ERIC Educational Resources Information Center

    Feller, Andrew Lee

    2010-01-01

    Rapid growth in eBusiness has made industry and commerce increasingly dependent on the hardware and software infrastructure that enables high-volume transaction processing across the Internet. Large transaction volumes at major industrial-firm data centers rely on robust transaction protocols and adequately provisioned hardware capacity to ensure…

  7. Flight Simulation for the Brain: Why Army Officers Must Write

    DTIC Science & Technology

    2011-03-07

    performance. A study of more than 3,000 subjects revealed that mentally practicing tasks, such as playing a musical instrument or figure skating ...briefing notes often found in PowerPoint, are not as effective as writing when it comes to learning . George E. Newell from the University of...Kentucky examined how well students learned based on whether they took notes, wrote short answer responses to study question, or wrote complete essays

  8. A web-based rapid assessment tool for production publishing solutions

    NASA Astrophysics Data System (ADS)

    Sun, Tong

    2010-02-01

    Solution assessment is a critical first-step in understanding and measuring the business process efficiency enabled by an integrated solution package. However, assessing the effectiveness of any solution is usually a very expensive and timeconsuming task which involves lots of domain knowledge, collecting and understanding the specific customer operational context, defining validation scenarios and estimating the expected performance and operational cost. This paper presents an intelligent web-based tool that can rapidly assess any given solution package for production publishing workflows via a simulation engine and create a report for various estimated performance metrics (e.g. throughput, turnaround time, resource utilization) and operational cost. By integrating the digital publishing workflow ontology and an activity based costing model with a Petri-net based workflow simulation engine, this web-based tool allows users to quickly evaluate any potential digital publishing solutions side-by-side within their desired operational contexts, and provides a low-cost and rapid assessment for organizations before committing any purchase. This tool also benefits the solution providers to shorten the sales cycles, establishing a trustworthy customer relationship and supplement the professional assessment services with a proven quantitative simulation and estimation technology.

  9. Frequency-specific hippocampal-prefrontal interactions during associative learning

    PubMed Central

    Brincat, Scott L.; Miller, Earl K.

    2015-01-01

    Much of our knowledge of the world depends on learning associations (e.g., face-name), for which the hippocampus (HPC) and prefrontal cortex (PFC) are critical. HPC-PFC interactions have rarely been studied in monkeys, whose cognitive/mnemonic abilities are akin to humans. Here, we show functional differences and frequency-specific interactions between HPC and PFC of monkeys learning object-pair associations, an animal model of human explicit memory. PFC spiking activity reflected learning in parallel with behavioral performance, while HPC neurons reflected feedback about whether trial-and-error guesses were correct or incorrect. Theta-band HPC-PFC synchrony was stronger after errors, was driven primarily by PFC to HPC directional influences, and decreased with learning. In contrast, alpha/beta-band synchrony was stronger after correct trials, was driven more by HPC, and increased with learning. Rapid object associative learning may occur in PFC, while HPC may guide neocortical plasticity by signaling success or failure via oscillatory synchrony in different frequency bands. PMID:25706471

  10. Knowledge transmission model with differing initial transmission and retransmission process

    NASA Astrophysics Data System (ADS)

    Wang, Haiying; Wang, Jun; Small, Michael

    2018-10-01

    Knowledge transmission is a cyclic dynamic diffusion process. The rate of acceptance of knowledge differs upon whether or not the recipient has previously held the knowledge. In this paper, the knowledge transmission process is divided into an initial and a retransmission procedure, each with its own transmission and self-learning parameters. Based on epidemic spreading model, we propose a naive-evangelical-agnostic (VEA) knowledge transmission model and derive mean-field equations to describe the dynamics of knowledge transmission in homogeneous networks. Theoretical analysis identifies a criterion for the persistence of knowledge, i.e., the reproduction number R0 depends on the minor effective parameters between the initial and retransmission process. Moreover, the final size of evangelical individuals is only related to retransmission process parameters. Numerical simulations validate the theoretical analysis. Furthermore, the simulations indicate that increasing the initial transmission parameters, including first transmission and self-learning rates of naive individuals, can accelerate the velocity of knowledge transmission efficiently but have no effect on the final size of evangelical individuals. In contrast, the retransmission parameters, including retransmission and self-learning rates of agnostic individuals, have a significant effect on the rate of knowledge transmission, i.e., the larger parameters the greater final density of evangelical individuals.

  11. Changes in Sensory Evoked Responses Coincide with Rapid Improvement in Speech Identification Performance

    ERIC Educational Resources Information Center

    Alain, Claude; Campeanu, Sandra; Tremblay, Kelly

    2010-01-01

    Perceptual learning is sometimes characterized by rapid improvements in performance within the first hour of training (fast perceptual learning), which may be accompanied by changes in sensory and/or response pathways. Here, we report rapid physiological changes in the human auditory system that coincide with learning during a 1-hour test session…

  12. Cognitive task analysis-based design and authoring software for simulation training.

    PubMed

    Munro, Allen; Clark, Richard E

    2013-10-01

    The development of more effective medical simulators requires a collaborative team effort where three kinds of expertise are carefully coordinated: (1) exceptional medical expertise focused on providing complete and accurate information about the medical challenges (i.e., critical skills and knowledge) to be simulated; (2) instructional expertise focused on the design of simulation-based training and assessment methods that produce maximum learning and transfer to patient care; and (3) software development expertise that permits the efficient design and development of the software required to capture expertise, present it in an engaging way, and assess student interactions with the simulator. In this discussion, we describe a method of capturing more complete and accurate medical information for simulators and combine it with new instructional design strategies that emphasize the learning of complex knowledge. Finally, we describe three different types of software support (Development/Authoring, Run Time, and Post Run Time) required at different stages in the development of medical simulations and the instructional design elements of the software required at each stage. We describe the contributions expected of each kind of software and the different instructional control authoring support required. Reprint & Copyright © 2013 Association of Military Surgeons of the U.S.

  13. Multi-Agent Design and Implementation for an Online Peer Help System

    ERIC Educational Resources Information Center

    Meng, Anbo

    2014-01-01

    With the rapid advance of e-learning, the online peer help is playing increasingly important role. This paper explores the application of MAS to an online peer help system (MAPS). In the design phase, the architecture of MAPS is proposed, which consists of a set of agents including the personal agent, the course agent, the diagnosis agent, the DF…

  14. Placing Theory into Practice: An Exploration of Library Services to Distance Learners at Jacksonville State University

    ERIC Educational Resources Information Center

    Tang, Yingqi

    2009-01-01

    Distance education or e-Learning, a non-traditional education model making use of information technology, has developed rapidly in the 21st century. Pedagogical tools such as online courses and videoconferencing initiatives have been widely used to deliver education to students at any time, and in any geographical location. The advantage of…

  15. Simulation Training Versus Real Time Console Training for New Flight Controllers

    NASA Technical Reports Server (NTRS)

    Heaton, Amanda

    2010-01-01

    For new flight controllers, the two main learning tools are simulations and real time console performance training. These benefit the new flight controllers in different ways and could possibly be improved. Simulations: a) Allow for mistakes without serious consequences. b) Lets new flight controllers learn the working style of other new flight controllers. c) Lets new flight controllers eventually begin to feel like they have mastered the sim world, so therefore they must be competent in the real time world too. Real time: a) Shows new flight controllers some of the unique problems that develop and have to be accounted for when dealing with certain payloads or systems. b) Lets new flight controllers experience handovers - gathering information from the previous shift on what the room needs to be aware of and what still needs to be done. c) Gives new flight controllers confidence that they can succeed in the position they are training for when they can solve real anomalies. How Sims could be improved and more like real-time ops for the ISS Operations Controller position: a) Operations Change Requests to review. b) Fewer anomalies (but still more than real time for practice). c) Payload Planning Manager Handover sheet for the E-1 and E-3 reviews. d) Flight note in system with at least one comment to verify for the E-1 and E-3 reviews How the real time console performance training could be improved for the ISS Operations Controller position: a) Schedule the new flight controller to be on console for four days but with a different certified person each day. This will force them to be the source of knowledge about every OCR in progress, everything that has happened in those few days, and every activity on the timeline. Constellation program flight controllers will have to learn entirely from simulations, thereby losing some of the elements that they will need to have experience with for real time ops. It may help them to practice real time console performance training in the International Space Station or Space Shuttle to gather some general anomaly resolution and day-to-day task management skills.

  16. The Parallel Episodic Processing (PEP) model 2.0: A single computational model of stimulus-response binding, contingency learning, power curves, and mixing costs.

    PubMed

    Schmidt, James R; De Houwer, Jan; Rothermund, Klaus

    2016-12-01

    The current paper presents an extension of the Parallel Episodic Processing model. The model is developed for simulating behaviour in performance (i.e., speeded response time) tasks and learns to anticipate both how and when to respond based on retrieval of memories of previous trials. With one fixed parameter set, the model is shown to successfully simulate a wide range of different findings. These include: practice curves in the Stroop paradigm, contingency learning effects, learning acquisition curves, stimulus-response binding effects, mixing costs, and various findings from the attentional control domain. The results demonstrate several important points. First, the same retrieval mechanism parsimoniously explains stimulus-response binding, contingency learning, and practice effects. Second, as performance improves with practice, any effects will shrink with it. Third, a model of simple learning processes is sufficient to explain phenomena that are typically (but perhaps incorrectly) interpreted in terms of higher-order control processes. More generally, we argue that computational models with a fixed parameter set and wider breadth should be preferred over those that are restricted to a narrow set of phenomena. Copyright © 2016 Elsevier Inc. All rights reserved.

  17. Mock ECHO: A Simulation-Based Medical Education Method.

    PubMed

    Fowler, Rebecca C; Katzman, Joanna G; Comerci, George D; Shelley, Brian M; Duhigg, Daniel; Olivas, Cynthia; Arnold, Thomas; Kalishman, Summers; Monnette, Rebecca; Arora, Sanjeev

    2018-04-16

    This study was designed to develop a deeper understanding of the learning and social processes that take place during the simulation-based medical education for practicing providers as part of the Project ECHO® model, known as Mock ECHO training. The ECHO model is utilized to expand access to care of common and complex diseases by supporting the education of primary care providers with an interprofessional team of specialists via videoconferencing networks. Mock ECHO trainings are conducted through a train the trainer model targeted at leaders replicating the ECHO model at their organizations. Trainers conduct simulated teleECHO clinics while participants gain skills to improve communication and self-efficacy. Three focus groups, conducted between May 2015 and January 2016 with a total of 26 participants, were deductively analyzed to identify common themes related to simulation-based medical education and interdisciplinary education. Principal themes generated from the analysis included (a) the role of empathy in community development, (b) the value of training tools as guides for learning, (c) Mock ECHO design components to optimize learning, (d) the role of interdisciplinary education to build community and improve care delivery, (e) improving care integration through collaboration, and (f) development of soft skills to facilitate learning. Mock ECHO trainings offer clinicians the freedom to learn in a noncritical environment while emphasizing real-time multidirectional feedback and encouraging knowledge and skill transfer. The success of the ECHO model depends on training interprofessional healthcare providers in behaviors needed to lead a teleECHO clinic and to collaborate in the educational process. While building a community of practice, Mock ECHO provides a safe opportunity for a diverse group of clinician experts to practice learned skills and receive feedback from coparticipants and facilitators.

  18. Are Pediatric Emergency Physicians More Knowledgeable and Confident to Respond to a Pediatric Disaster after an Experiential Learning Experience?

    PubMed

    Bank, Ilana; Khalil, Elene

    2016-10-01

    Pediatric hospital disaster responders must be well-trained and prepared to manage children in a mass-casualty incident. Simulations of various types have been the traditional way of testing hospital disaster plans and training hospital staff in skills that are used in rare circumstances. The objective of this longitudinal, survey-based, observational study was to assess the effect of disaster response and management-based experiential learning on the knowledge and confidence of advanced learners. A simulation-based workshop was created for practicing Pediatric Emergency Medicine (PEM) physicians, senior PEM physicians, and critical care and pediatric surgery residents to learn how to manage a disaster response. Given that this particular group of learners had never been exposed to such a disaster simulation, its educational value was assessed with the goal of improving the quality of the hospital pediatric medical response to a disaster by increasing the responders' knowledge and confidence. Objective and subjective measures were analyzed using both a retrospective, pre-post survey, as well as case-based evaluation grids. The simulation workshop improved the learners' perceived ability to manage patients in a disaster context and identified strengths and areas needing improvement for patient care within the disaster context. Advanced learners exposed to an experiential learning activity believed that it improved their ability to manage patients in a disaster situation and felt that it was valuable to their learning. Their confidence was preserved six months later. Bank I , Khalil E . Are pediatric emergency physicians more knowledgeable and confident to respond to a pediatric disaster after an experiential learning experience? Prehosp Disaster Med. 2016;31(5):551-556.

  19. Semi-volatile organic compounds at the leaf/atmosphere interface: numerical simulation of dispersal and foliar uptake.

    PubMed

    Riederer, Markus; Daiss, Andreas; Gilbert, Norbert; Köhle, Harald

    2002-08-01

    The behaviour of (semi-)volatile organic compounds at the interface between the leaf surface and the atmosphere was investigated by finite-element numerical simulation. Three model systems with increasing complexity and closeness to the real situation were studied. The three-dimensional model systems were translated into appropriate grid structures and diffusive and convective transport in the leaf/atmosphere interface was simulated. Fenpropimorph (cis-4-[3-(4-tert-butylphenyl)-2-methylpropyl]-2,6-dimethylmorpholine) and Kresoxim-methyl ((E)-methyl-2-methoxyimino-2-[2-(o-tolyloxy-methyl)phenyl] acetate) were used as model compounds. The simulation showed that under still and convective conditions the vapours emitted by a point source rapidly form stationary envelopes around the leaves. Vapour concentrations within these unstirred layers depend on the vapour pressure of the compound in question and on its affinity to the lipoid surface layers of the leaf (cuticular waxes, cutin). The rules deduced from the numerical simulation of organic vapour behaviour in the leaf/atmosphere interface are expected to help in assessing how (semi-)volatile plant products (e.g. hormones, pheromones, secondary metabolites) and xenobiotics (e.g. pesticides, pollutants) perform on plant surfaces.

  20. An experimental study on the effects of a simulation game on students' clinical cognitive skills and motivation.

    PubMed

    Dankbaar, Mary E W; Alsma, Jelmer; Jansen, Els E H; van Merrienboer, Jeroen J G; van Saase, Jan L C M; Schuit, Stephanie C E

    2016-08-01

    Simulation games are becoming increasingly popular in education, but more insight in their critical design features is needed. This study investigated the effects of fidelity of open patient cases in adjunct to an instructional e-module on students' cognitive skills and motivation. We set up a three-group randomized post-test-only design: a control group working on an e-module; a cases group, combining the e-module with low-fidelity text-based patient cases, and a game group, combining the e-module with a high-fidelity simulation game with the same cases. Participants completed questionnaires on cognitive load and motivation. After a 4-week study period, blinded assessors rated students' cognitive emergency care skills in two mannequin-based scenarios. In total 61 students participated and were assessed; 16 control group students, 20 cases students and 25 game students. Learning time was 2 h longer for the cases and game groups than for the control group. Acquired cognitive skills did not differ between groups. The game group experienced higher intrinsic and germane cognitive load than the cases group (p = 0.03 and 0.01) and felt more engaged (p < 0.001). Students did not profit from working on open cases (in adjunct to an e-module), which nonetheless challenged them to study longer. The e-module appeared to be very effective, while the high-fidelity game, although engaging, probably distracted students and impeded learning. Medical educators designing motivating and effective skills training for novices should align case complexity and fidelity with students' proficiency level. The relation between case-fidelity, motivation and skills development is an important field for further study.

  1. The LapSim virtual reality simulator: promising but not yet proven.

    PubMed

    Fairhurst, Katherine; Strickland, Andrew; Maddern, Guy

    2011-02-01

    The acquisition of technical skills using surgical simulators is an area of active research and rapidly evolving technology. The LapSim is a virtual reality simulator that currently allows practice of basic laparoscopic skills and some procedures. To date, no reviews have been published with reference to a single virtual reality simulator. A PubMed search was performed using the keyword "LapSim," with further papers identified from the citations of original search articles. Use of the LapSim to develop surgical skills has yielded overall results, although inconsistencies exist. Data regarding the transferability of learned skills to the operative environment are encouraging as is the validation work, particularly the use of a combination of measured parameters to produce an overall comparative performance score. Although the LapSim currently does not have any proven significant advantages over video trainers in terms of basic skills instruction and although the results of validation studies are variable, the potential for such technology to have a huge impact on surgical training is apparent. Work to determine standardized learning curves and proficiency criteria for different levels of trainees is incomplete. Moreover, defining which performance parameters measured by the LapSim accurately determine laparoscopic skill is complex. Further technological advances will undoubtedly improve the efficacy of the LapSim, and the results of large multicenter trials are anticipated.

  2. Small Projects Rapid Integration and Test Environment (SPRITE): Application for Increasing Robustness

    NASA Technical Reports Server (NTRS)

    Rakoczy, John; Heater, Daniel; Lee, Ashley

    2013-01-01

    Marshall Space Flight Center's (MSFC) Small Projects Rapid Integration and Test Environment (SPRITE) is a Hardware-In-The-Loop (HWIL) facility that provides rapid development, integration, and testing capabilities for small projects (CubeSats, payloads, spacecraft, and launch vehicles). This facility environment focuses on efficient processes and modular design to support rapid prototyping, integration, testing and verification of small projects at an affordable cost, especially compared to larger type HWIL facilities. SPRITE (Figure 1) consists of a "core" capability or "plant" simulation platform utilizing a graphical programming environment capable of being rapidly re-configured for any potential test article's space environments, as well as a standard set of interfaces (i.e. Mil-Std 1553, Serial, Analog, Digital, etc.). SPRITE also allows this level of interface testing of components and subsystems very early in a program, thereby reducing program risk.

  3. UK health-care professionals' experience of on-line learning techniques: a systematic review of qualitative data.

    PubMed

    Carroll, Christopher; Booth, Andrew; Papaioannou, Diana; Sutton, Anthea; Wong, Ruth

    2009-01-01

    Continuing professional development and education is vital to the provision of better health services and outcomes. The aim of this study is to contribute to the evidence base by performing a systematic review of qualitative data from studies reporting health professionals' experience of e-learning. No such previous review has been published. A systematic review of qualitative data reporting UK health professionals' experiences of the ways in which on-line learning is delivered by higher education and other relevant institutions. Evidence synthesis was performed with the use of thematic analysis grounded in the data. Literature searches identified 19 relevant studies. The subjects of the studies were nurses, midwives, and allied professions (8 studies), general practitioners and hospital doctors (6 studies), and a range of different health practitioners (5 studies). The majority of courses were stand-alone continuing professional development modules. Five key themes emerged from the data: peer communication, flexibility, support, knowledge validation, and course presentation and design. The effectiveness of on-line learning is mediated by the learning experience. If they are to enhance health professionals' experience of e-learning, courses need to address presentation and course design; they must be flexible, offer mechanisms for both support and rapid assessment, and develop effective and efficient means of communication, especially among the students themselves.

  4. MO-DE-BRA-05: EUTEMPE-RX: Combining E-Learning and Face-To-Face Training to Build Expert Knowledge, Skills and Competences for Medical Physicists in Diagnostic and Interventional Radiology

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Bosmans, H; Van Peteghem, N; Creten, S

    Purpose: In 2013, the EURATOM authorities of the European Commission decided to support the Horizon2020 project submission ‘EUTEMPE-RX’ that aimed for a new set of course modules to train medical physicists in diagnostic and interventional radiology to expert level with small group deep learning. Each module would consist of 2 phases: an e-learning and a face-to-face phase, each phase requiring typically 40h of participant time. Methods: The European Federation (EFOMP) and 13 European partners, all of them selected for their excellent scientific and/or educational skills, led the 12 course modules. A quality manual ensured the quality of course content andmore » organization. Educational workshops familiarized the teachers with e-learning techniques and methods for assessment. Content was set in accordance with the EC document RP174 that lists learning outcomes in terms of knowledge, skills and competences (KSCs) for different specialties and levels of medical physics. Surveys for stake holder satisfaction were prepared. Results: Today the course modules are being realized. The modules cover most of the KSCs in RP174 document. Teachers have challenged the participants with unique tasks: case studies in medical physics leadership, Monte Carlo simulation of a complete x-ray imaging chain, development of a task specific QA protocol, compilation of optimization plans, simulation tasks with anthropomorphic breast models, etc. Participants undertook practical sessions in modern hospitals and visited a synchrotron facility, a calibration lab, screening organizations, etc. Feedback form quality surveys was very positive and constructive. A sustainability plan has been worked out. Conclusion: The modules have enabled the participants to develop their KSCs and cope with challenges in medical physics. The sustainability plan will be implemented to continue the unique combined e-learning and face to face training at high level training in diagnostic and interventional radiology also beyond Europe. The EUTEMPE-RX project is funded by the Horizon2020 - EURATOM program of the European Commission.« less

  5. Does Academic Blogging Enhance Promotion and Tenure? A Survey of US and Canadian Medicine and Pediatric Department Chairs.

    PubMed

    Cameron, Christian Blake; Nair, Vinay; Varma, Manu; Adams, Martha; Jhaveri, Kenar D; Sparks, Matthew A

    2016-06-23

    Electronic educational (e-learning) technology usage continues to grow. Many medical journals operate companion blogs (an application of e-learning technology) that enable rapid dissemination of scientific knowledge and discourse. Faculty members participating in promotion and tenure academic tracks spend valuable time and effort contributing, editing, and directing these medical journal blogs. We sought to understand whether chairs of medicine and pediatric departments acknowledge blog authorship as academic achievement. The authors surveyed 267 chairs of US and Canadian medicine and pediatric departments regarding their attitudes toward the role of faculty participation in e-learning and blogging in the promotion and tenure process. The survey completion rate was 22.8% (61/267). A majority of respondents (87%, 53/61) viewed educational scholarship as either important or very important for promotion. However, only 23% (14/61) perceived importance to faculty effort in producing content for journal-based blogs. If faculty were to participate in blog authorship, 72% (44/61) of surveyed chairs favored involvement in a journal-based versus a society-based or a personal (nonaffiliated) blog. We identified a "favorable group" of chairs (19/59, 32%), who rated leadership roles in e-learning tools as important or very important, and an "unfavorable group" of chairs (40/59, 68%), who rated leadership roles in e-learning tools as somewhat important or not important. The favorable group were more likely to be aware of faculty bloggers within their departments (58%, 11/19 vs 25%, 10/40), viewed serving on editorial boards of e-learning tools more favorably (79%, 15/19 vs 31%, 12/39), and were more likely to value effort spent contributing to journal-based blogs (53%, 10/19 vs 10%, 4/40). Our findings demonstrate that although the majority of department chairs value educational scholarship, only a minority perceive value in faculty blogging effort.

  6. Simulation in the Internet age: the place of web-based simulation in nursing education. An integrative review.

    PubMed

    Cant, Robyn P; Cooper, Simon J

    2014-12-01

    The objective of this article was to review the literature on utilisation and place of Web-based simulation within nursing education. Web-based simulation combines electronic multimedia options with a central video or virtual world to produce interactive learning activities mediated by the learner. An integrative review. A search was conducted of healthcare databases between 2000 and 2014 and of Internet sources for hosted simulation programs in nursing. Eighteen primary programs were identified for inclusion. A strategy for integrative review was adopted in which studies were identified, filtered, classified, analysed and compared. Of 18 programs, two game-based programs were identified which represented a 'virtual world' in which students could simultaneously or individually immerse themselves in a character role-play. However, most programs (n=10) taught an aspect of procedural patient care using multimedia (e.g. video, audio, graphics, quiz, text, memo). Time-limited sequences, feedback and reflective activities were often incorporated. Other studies (n=8) taught interpersonal communication skills or technical skills for equipment use. Descriptive study outcomes indicated ease of program use, strong satisfaction with learning and appreciation of program accessibility. Additionally, four studies reported significant improvements in knowledge post-intervention. Web-based simulation is highly acceptable to students and appears to provide learning benefits that align with other simulation approaches and it augments face-to-face teaching. Web-based simulation is likely to have a major place in nursing curricula in the next decade, yet further research is necessary to objectively evaluate learner outcomes and to justify its use. Copyright © 2014 Elsevier Ltd. All rights reserved.

  7. Development of Advanced Verification and Validation Procedures and Tools for the Certification of Learning Systems in Aerospace Applications

    NASA Technical Reports Server (NTRS)

    Jacklin, Stephen; Schumann, Johann; Gupta, Pramod; Richard, Michael; Guenther, Kurt; Soares, Fola

    2005-01-01

    Adaptive control technologies that incorporate learning algorithms have been proposed to enable automatic flight control and vehicle recovery, autonomous flight, and to maintain vehicle performance in the face of unknown, changing, or poorly defined operating environments. In order for adaptive control systems to be used in safety-critical aerospace applications, they must be proven to be highly safe and reliable. Rigorous methods for adaptive software verification and validation must be developed to ensure that control system software failures will not occur. Of central importance in this regard is the need to establish reliable methods that guarantee convergent learning, rapid convergence (learning) rate, and algorithm stability. This paper presents the major problems of adaptive control systems that use learning to improve performance. The paper then presents the major procedures and tools presently developed or currently being developed to enable the verification, validation, and ultimate certification of these adaptive control systems. These technologies include the application of automated program analysis methods, techniques to improve the learning process, analytical methods to verify stability, methods to automatically synthesize code, simulation and test methods, and tools to provide on-line software assurance.

  8. The value of prior knowledge in machine learning of complex network systems.

    PubMed

    Ferranti, Dana; Krane, David; Craft, David

    2017-11-15

    Our overall goal is to develop machine-learning approaches based on genomics and other relevant accessible information for use in predicting how a patient will respond to a given proposed drug or treatment. Given the complexity of this problem, we begin by developing, testing and analyzing learning methods using data from simulated systems, which allows us access to a known ground truth. We examine the benefits of using prior system knowledge and investigate how learning accuracy depends on various system parameters as well as the amount of training data available. The simulations are based on Boolean networks-directed graphs with 0/1 node states and logical node update rules-which are the simplest computational systems that can mimic the dynamic behavior of cellular systems. Boolean networks can be generated and simulated at scale, have complex yet cyclical dynamics and as such provide a useful framework for developing machine-learning algorithms for modular and hierarchical networks such as biological systems in general and cancer in particular. We demonstrate that utilizing prior knowledge (in the form of network connectivity information), without detailed state equations, greatly increases the power of machine-learning algorithms to predict network steady-state node values ('phenotypes') and perturbation responses ('drug effects'). Links to codes and datasets here: https://gray.mgh.harvard.edu/people-directory/71-david-craft-phd. dcraft@broadinstitute.org. Supplementary data are available at Bioinformatics online. © The Author 2017. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com

  9. RF Priming Experiments and Simulations of Magnetic Priming in Relativistic Magnetrons

    NASA Astrophysics Data System (ADS)

    White, W. M.; Gilgenbach, R. M.; Jones, M. C.; Neculaes, V. B.; Lau, Y. Y.; Jordan, N.; Pengvanich, P.; Edgar, R.; Hoff, B.; Spencer, T. A.; Price, D.

    2004-11-01

    We investigate 2 priming techniques in relativistic magnetrons for rapid startup and mode-locking: RF priming experiments with 0.1-1 MW from a 2nd magnetron; Magnetic-priming simulations by azimuthally-varying-axial magnetic field. Experiments utilize MELBA-C with a Titan 6-vane magnetron: V = -300kV, I = 1-10kA, e-beam T = 0.5 μs, microwave power = 100-500 MW, f= 1-1.3 GHz, base vacuum= 8.5 x 10-10 Torr. The AFRL RF priming magnetron is at 0.1-2 MW, 3 μsec, 1.27-1.32 GHz. About 0.2-0.3 MW is injected into 1 of 3 open coupling slots in the relativistic magnetron. Analysis of the relativistic magnetron's microwave output shows a clear effect of RF priming. Simulations of magnetic priming in the pi-mode are run in MAGIC code by imposing N/2 azimuthal-variations in the axial magnetic field of an N-vane magnetron. Faster startup and mode-locking are simulated by rapid-electron spoke formation and excitation of RF fields.

  10. Rapid L2 Word Learning through High Constraint Sentence Context: An Event-Related Potential Study

    PubMed Central

    Chen, Baoguo; Ma, Tengfei; Liang, Lijuan; Liu, Huanhuan

    2017-01-01

    Previous studies have found quantity of exposure, i.e., frequency of exposure (Horst et al., 1998; Webb, 2008; Pellicer-Sánchez and Schmitt, 2010), is important for second language (L2) contextual word learning. Besides this factor, context constraint and L2 proficiency level have also been found to affect contextual word learning (Pulido, 2003; Tekmen and Daloglu, 2006; Elgort et al., 2015; Ma et al., 2015). In the present study, we adopted the event-related potential (ERP) technique and chose high constraint sentences as reading materials to further explore the effects of quantity of exposure and proficiency on L2 contextual word learning. Participants were Chinese learners of English with different English proficiency levels. For each novel word, there were four high constraint sentences with the critical word at the end of the sentence. Learners read sentences and made semantic relatedness judgment afterwards, with ERPs recorded. Results showed that in the high constraint condition where each pseudoword was embedded in four sentences with consistent meaning, N400 amplitude upon this pseudoword decreased significantly as learners read the first two sentences. High proficiency learners responded faster in the semantic relatedness judgment task. These results suggest that in high quality sentence contexts, L2 learners could rapidly acquire word meaning without multiple exposures, and L2 proficiency facilitated this learning process. PMID:29375420

  11. Rapid L2 Word Learning through High Constraint Sentence Context: An Event-Related Potential Study.

    PubMed

    Chen, Baoguo; Ma, Tengfei; Liang, Lijuan; Liu, Huanhuan

    2017-01-01

    Previous studies have found quantity of exposure, i.e., frequency of exposure (Horst et al., 1998; Webb, 2008; Pellicer-Sánchez and Schmitt, 2010), is important for second language (L2) contextual word learning. Besides this factor, context constraint and L2 proficiency level have also been found to affect contextual word learning (Pulido, 2003; Tekmen and Daloglu, 2006; Elgort et al., 2015; Ma et al., 2015). In the present study, we adopted the event-related potential (ERP) technique and chose high constraint sentences as reading materials to further explore the effects of quantity of exposure and proficiency on L2 contextual word learning. Participants were Chinese learners of English with different English proficiency levels. For each novel word, there were four high constraint sentences with the critical word at the end of the sentence. Learners read sentences and made semantic relatedness judgment afterwards, with ERPs recorded. Results showed that in the high constraint condition where each pseudoword was embedded in four sentences with consistent meaning, N400 amplitude upon this pseudoword decreased significantly as learners read the first two sentences. High proficiency learners responded faster in the semantic relatedness judgment task. These results suggest that in high quality sentence contexts, L2 learners could rapidly acquire word meaning without multiple exposures, and L2 proficiency facilitated this learning process.

  12. Rapid reversal of stress induced loss of synapses in CA3 of rat hippocampus following water maze training.

    PubMed

    Sandi, Carmen; Davies, Heather A; Cordero, M Isabel; Rodriguez, Jose J; Popov, Victor I; Stewart, Michael G

    2003-06-01

    The impact was examined of exposing rats to two life experiences of a very different nature (stress and learning) on synaptic structures in hippocampal area CA3. Rats were subjected to either (i) chronic restraint stress for 21 days, and/or (ii) spatial training in a Morris water maze. At the behavioural level, restraint stress induced an impairment of acquisition of the spatial response. Moreover, restraint stress and water maze training had contrasting impacts on CA3 synaptic morphometry. Chronic stress induced a loss of simple asymmetric synapses [those with an unperforated postsynaptic density (PSD)], whilst water maze learning reversed this effect, promoting a rapid recovery of stress-induced synaptic loss within 2-3 days following stress. In addition, in unstressed animals a correlation was found between learning efficiency and the density of synapses with an unperforated PSD: the better the performance in the water maze, the lower the synaptic density. Water maze training increased the number of perforated synapses (those with a segmented PSD) in CA3, both in stressed and, more notably, in unstressed rats. The distinct effects of stress and learning on CA3 synapses reported here provide a neuroanatomical basis for the reported divergent effects of these experiences on hippocampal synaptic activity, i.e. stress as a suppressor and learning as a promoter of synaptic plasticity.

  13. Melting Penetration Simulation of Fe-U System at High Temperature Using MPS_LER

    NASA Astrophysics Data System (ADS)

    Mustari, A. P. A.; Yamaji, A.; Irwanto, Dwi

    2016-08-01

    Melting penetration information of Fe-U system is necessary for simulating the molten core behavior during severe accident in nuclear power plants. For Fe-U system, the information is mainly obtained from experiment, i.e. TREAT experiment. However, there is no reported data on SS304 at temperature above 1350°C. The MPS_LER has been developed and validated to simulate melting penetration on Fe-U system. The MPS_LER modelled the eutectic phenomenon by solving the diffusion process and by applying the binary phase diagram criteria. This study simulates the melting penetration of the system at higher temperature using MPS_LER. Simulations were conducted on SS304 at 1400, 1450 and 1500°C. The simulation results show rapid increase of melting penetration rate.

  14. Rapid consolidation of new knowledge in adulthood via fast mapping.

    PubMed

    Coutanche, Marc N; Thompson-Schill, Sharon L

    2015-09-01

    Rapid word learning, where words are 'fast mapped' onto new concepts, may help build vocabulary during childhood. Recent evidence has suggested that fast mapping might help to rapidly integrate information into memory networks of the adult neocortex. The neural basis for this learning by fast mapping determines key properties of the learned information. Copyright © 2015 Elsevier Ltd. All rights reserved.

  15. Finite-mode spectral model of homogeneous and isotropic Navier-stokes turbulence: a rapidly depleted energy cascade.

    PubMed

    Lévêque, E; Koudella, C R

    2001-04-30

    An eddy-viscous term is added to Navier-Stokes dynamics at wave numbers k greater than the inflection point kc of the energy flux F(log(k)). The eddy viscosity is fixed so that the energy spectrum satisfies E(k) = E(kc) (k/kc)(-3) for k>kc. This resulting forcing induces a rapid depletion of the energy cascade at k>kc. It is observed numerically that the model reproduces turbulence energetics at k< or =kc and statistics of two-point velocity correlations at scales r>lambda (Taylor microscale). Compared to a direct numerical simulation of R(lambda) = 130 an equivalent run with the present model results in a gain of a factor 20 in CPU time.

  16. Individual Learner and Team Modeling for Adaptive Training and Education in Support of the US Army Learning Model: Research Outline

    DTIC Science & Technology

    2015-09-01

    evaluate adaptive technologies to make them usable by a larger segment of the training and educational community. This research includes 5...Needed for Modeling Small Unit Team Processes and Performance Outcomes That Can Be Used in Adaptive Tutoring 25 8.2 Design Simulation Technologies ...learning and career development through the growth of metacognitive (e.g., reflection), self-assessment, and motivational skills (Butler and Winne 1995

  17. Perspective: Machine learning potentials for atomistic simulations

    NASA Astrophysics Data System (ADS)

    Behler, Jörg

    2016-11-01

    Nowadays, computer simulations have become a standard tool in essentially all fields of chemistry, condensed matter physics, and materials science. In order to keep up with state-of-the-art experiments and the ever growing complexity of the investigated problems, there is a constantly increasing need for simulations of more realistic, i.e., larger, model systems with improved accuracy. In many cases, the availability of sufficiently efficient interatomic potentials providing reliable energies and forces has become a serious bottleneck for performing these simulations. To address this problem, currently a paradigm change is taking place in the development of interatomic potentials. Since the early days of computer simulations simplified potentials have been derived using physical approximations whenever the direct application of electronic structure methods has been too demanding. Recent advances in machine learning (ML) now offer an alternative approach for the representation of potential-energy surfaces by fitting large data sets from electronic structure calculations. In this perspective, the central ideas underlying these ML potentials, solved problems and remaining challenges are reviewed along with a discussion of their current applicability and limitations.

  18. Simulation Study of Magnetic Fields Generated by the Electromagnetic Filamentation Instability

    NASA Technical Reports Server (NTRS)

    Nishikawa, K.-I.; Ramirez-Ruiz, E.; Hardee, P.; Hededal, C. B.; Mizuno, Y.; Fishman, G. J.

    2007-01-01

    We have investigated the effects of plasma instabilities driven by rapid e(sup plus or minus) pair cascades, which arise in the environment of GRB sources as a result of back-scattering of a seed fraction of the original spectrum. The injection of e(sup plus or minus) pairs induces strong streaming motions in the ambient medium. One therefore expects the pair-enriched medium ahead of the forward shock to be strongly sheared on length scales comparable to the radiation front thickness. Using three-dimensional particle-in-cell simulations, we show that plasma instabilities driven by these streaming e(sup plus or minus) pairs are responsible for the excitation of near-equipartition, turbulent magnetic fields. Our results reveal the importance of the electromagnetic filamentation instability in ensuring an effective coupling between e(sup plus or minus) pairs and ions, and may help explain the origin of large upstream fields in GRB shocks.

  19. Student and educator experiences of maternal-child simulation-based learning: a systematic review of qualitative evidence protocol.

    PubMed

    MacKinnon, Karen; Marcellus, Lenora; Rivers, Julie; Gordon, Carol; Ryan, Maureen; Butcher, Diane

    2015-01-01

    The overall aim of this systematic review is to identify the appropriateness and meaningfulness of maternal-child simulation-based learning for undergraduate or pre-registration nursing students in educational settings to inform curriculum decision-making.1. What are the experiences of nursing or health professional students participating in undergraduate or pre-licensure maternal-child simulation-based learning in educational settings?2. What are the experiences of educators participating in undergraduate or pre-licensure maternal-child simulation-based learning in educational settings?3. What teaching and learning practices in maternal-child simulation-based learning are considered appropriate and meaningful by students and educators? Maternal-child care is one of the pillars of primary health care. Health promotion and illness/ injury prevention begin in the preconception period and continue through pregnancy, birth, the postpartum period and the childrearing years. Thus, lifelong wellness is promoted across the continuum of perinatal and pediatric care which influences family health and early child development. Registered nurses (RNs) are expected to have the knowledge and skills needed to provide evidence-based nursing with childbearing and child-rearing families to promote health and address health inequities in many settings, including inner city, rural, northern, indigenous and global communities. The Canadian Maternity Experiences survey and the Report by the Advisor on Healthy Children and Youth provide information on current shortages of perinatal and child health care providers and stress the importance of the role of nurses as providers of rural and remote care. From a global health perspective, continued concern with both perinatal and child health morbidities and mortalities highlight the importance of maintaining and strengthening the presence of maternal and child health learning opportunities within undergraduate nursing curriculum.Despite this importance, educators in many countries have acknowledged difficulties providing nursing students with maternal-child hospital learning experiencesdue to declining birth rates, women's changing expectations about childbirth (i.e. birth as an intimate experience), increased outpatient and community management of early childhood health conditions, and increased competition for clinical placements. Canadian nurse educators and practice leaders have also identified gaps in recent RN graduates' readiness to provide safe, competent and evidence-based care for childbearing and child-rearing families. Newly graduated RNs working in acute care hospitals and in rural/remote community practice settings report feeling unprepared for providing maternity, neonatal and early childhood care.Recent concerns about the clinical reasoning skills of new graduates and the link to poor patient outcomes (e.g. not recognizing deteriorating patients) have led to calls to reform nursing education. In the Carnegie report, Benner, Sutphen, Leonard and Day identified four essential themes needed in the thinking and approach to nursing education, including: (1) a shift in focus from covering decontextualized knowledge to "teaching for a sense of salience, situated cognition, and identifying action in particular clinical situations"; (2) better integration of classroom and clinical teaching; (3) more emphasis on clinical reasoning; and, (4) an emphasis on identity formation rather than socialization. Brown and Hartrick Doane propose that nurses need to draw on a range of knowledge that enhances the nurse's "sensitivity and ability to be responsive in particular moments of practice". Theoretical or decontextualized knowledge becomes a "pragmatic tool" used to improve nursing practice. Simulation has been identified as a promising pragmatic educational tool for practice learning that can be integrated with theoretical knowledge from nursing and other disciplines.Bland, Topping and Wood conducted a concept analysis and defined simulation in nursing education as:They also proposed that "simulated learning is a dynamic concept that deserves empirical evaluation not merely to determine its effects but to uncover its full potential as a learning strategy".Simulation usually involves student(s) providing nursing care to a simulated patient who might be a manikin or actor based on a standardized scenario. Following the experiential learning opportunity the scenario is debriefed and the clinical situation analyzed with opportunities for reflection on performance. In nursing education, simulation is usually used in a way that complements learning in practice settings. However simulation has also been used: to make up some clinical practice hours, to provide opportunities to practice and assess particular clinical skills, and for remedial learning when students encounter difficulties in practice settings. In addition simulation provides the opportunity to focus on quality and safety competencies (QSEN) that have been identified for nurses. New forms of simulation are being developed with multiple patients so that nursing students can learn to prioritize care needs and delegate care to other team members.Nurse educators have identified several advantages for learners using simulation, including: providing a safe environment to improve nursing competence, allowing learners to become more comfortable with receiving feedback about their clinical performance, providing consistent and comparable experiences for all students, and learning a mix of technical and non-technical skills including communication, teamwork and delegation. Within the Canadian context, students and instructors have reported positive learning experiences with simulation, particularly in understanding complex patient care scenarios, multidisciplinary team scenarios, team-based learning, and reflective debriefing. Furthermore, simulation technology has been proposed as a strategy for developing clinical reasoning skills, enhancing nurses' abilities to build upon previous knowledge and past experiences, and manage new or unfamiliar situations.Simulation has previously been integrated into nursing curricula in a "piecemeal" fashion that lacks an integrative pedagogy or theoretical approach. More recently a number of theoretical and pedagogical frameworks and best practice standards have been published. In April 2014 a preliminary search of literature (in CINAHL, Medline, Academic Search Complete and Web of Science) was conducted with guidance from our library specialist to test the search strategy and ensure that there would be enough qualitative findings to include in the systematic review. A preliminary scan of the abstracts from these searches demonstrated that many experiential case reports with qualitative findings were missed with the use of research limiters (including our search strategy specifically constructed to retrieve qualitative research) so the decision was made to err on the side of caution by searching more broadly and review a larger number of abstracts for inclusion in the study. However, a number of reports with qualitative findings were identified. For example, from a review of the abstracts from a CINAHL search dated April 17, qualitative research papers (including two dissertations), 12 evaluation study reports, six mixed methods studies and nine case reports with qualitative findings were identified. It is timely then to review qualitative studies to better understand the meaningfulness and appropriateness of integrating maternal-child simulation-based learning activities in undergraduate nursing education programs.A search of both the Cochrane Library of Systematic Reviews and the Joanna Briggs Institute Database of Systematic Reviews and Implementation Reports has been conducted. No systematic reviews of qualitative studies of maternal-child simulation-based learning for undergraduate or pre-registration nursing students in educational settings are evident in the literature. Although a systematic review of the meaningfulness and appropriateness of using human patient simulation manikins as a teaching and learning strategy in undergraduate nursing education had been planned and a protocol registered in October 2009, we learned from contacting the lead author that this systematic review was not completed. Currently little is known about how nursing students and/or educators have experienced maternal-child simulation or their understandings of the appropriateness and meaningfulness of particular simulation-based learning practices. Our proposed systematic review therefore fulfills all requirements for the PROSPERO database. For this review we will use the definition of "simulation-based learning experience" adopted by the International Nursing Association for Clinical Simulation and Learning (INACSL):We will include any use of simulation in an educational setting (with pre-registration or pre-licensure or undergraduate nursing or health professional students) with a focus relevant for maternal-child nursing.Maternal-child nursing has been variously defined in literature to include maternity care and pediatric nursing. For the purposes of this review, we will include perinatal, neonatal and pediatric contexts of care that focus on families with children under the age of five. We will exclude studies that focus on school age children, adolescents and/or youth.We have adapted an earlier definition of "appropriateness" as the "best conditions under which simulation can be integrated into undergraduate nursing education". In this review "meaningfulness" refers to the experiences and reflections of undergraduate nursing or health professional students and educators as presented in the studies reviewed.

  20. Rapid effects of dorsal hippocampal G-protein coupled estrogen receptor on learning in female mice.

    PubMed

    Lymer, Jennifer; Robinson, Alana; Winters, Boyer D; Choleris, Elena

    2017-03-01

    Through rapid mechanisms of action, estrogens affect learning and memory processes. It has been shown that 17β-estradiol and an Estrogen Receptor (ER) α agonist enhances performance in social recognition, object recognition, and object placement tasks when administered systemically or infused in the dorsal hippocampus. In contrast, systemic and dorsal hippocampal ERβ activation only promote spatial learning. In addition, 17β-estradiol, the ERα and the G-protein coupled estrogen receptor (GPER) agonists increase dendritic spine density in the CA1 hippocampus. Recently, we have shown that selective systemic activation of the GPER also rapidly facilitated social recognition, object recognition, and object placement learning in female mice. Whether activation the GPER specifically in the dorsal hippocampus can also rapidly improve learning and memory prior to acquisition is unknown. Here, we investigated the rapid effects of infusion of the GPER agonist, G-1 (dose: 50nM, 100nM, 200nM), in the dorsal hippocampus on social recognition, object recognition, and object placement learning tasks in home cage. These paradigms were completed within 40min, which is within the range of rapid estrogenic effects. Dorsal hippocampal administration of G-1 improved social (doses: 50nM, 200nM G-1) and object (dose: 200nM G-1) recognition with no effect on object placement. Additionally, when spatial cues were minimized by testing in a Y-apparatus, G-1 administration promoted social (doses: 100nM, 200nM G-1) and object (doses: 50nM, 100nM, 200nM G-1) recognition. Therefore, like ERα, the GPER in the hippocampus appears to be sufficient for the rapid facilitation of social and object recognition in female mice, but not for the rapid facilitation of object placement learning. Thus, the GPER in the dorsal hippocampus is involved in estrogenic mediation of learning and memory and these effects likely occur through rapid signalling mechanisms. Copyright © 2016 Elsevier Ltd. All rights reserved.

  1. Automatic Selection of Order Parameters in the Analysis of Large Scale Molecular Dynamics Simulations.

    PubMed

    Sultan, Mohammad M; Kiss, Gert; Shukla, Diwakar; Pande, Vijay S

    2014-12-09

    Given the large number of crystal structures and NMR ensembles that have been solved to date, classical molecular dynamics (MD) simulations have become powerful tools in the atomistic study of the kinetics and thermodynamics of biomolecular systems on ever increasing time scales. By virtue of the high-dimensional conformational state space that is explored, the interpretation of large-scale simulations faces difficulties not unlike those in the big data community. We address this challenge by introducing a method called clustering based feature selection (CB-FS) that employs a posterior analysis approach. It combines supervised machine learning (SML) and feature selection with Markov state models to automatically identify the relevant degrees of freedom that separate conformational states. We highlight the utility of the method in the evaluation of large-scale simulations and show that it can be used for the rapid and automated identification of relevant order parameters involved in the functional transitions of two exemplary cell-signaling proteins central to human disease states.

  2. The effectiveness of using multimedia computer simulations coupled with social constructivist pedagogy in a college introductory physics classroom

    NASA Astrophysics Data System (ADS)

    Chou, Chiu-Hsiang

    Electricity and Magnetism is legendarily considered a subject incomprehensible to the students in the college introductory level. From a social constructivist perspective, learners are encouraged to assess the quantity and the quality of prior knowledge in a subject domain and to co-construct shared knowledge and understanding by implementing and building on each other's ideas. They become challenged by new data and perspectives thus stimulate a reconceptualization of knowledge and to be actively engaged in discovering new meanings based on experiences grounded in the real-world phenomena they are expected to learn. This process is categorized as a conceptual change learning environment and can facilitate learning of E & M. Computer simulations are an excellent tool to assist the teacher and leaner in achieving these goals and were used in this study. This study examined the effectiveness of computer simulations within a conceptual change learning environment and compared it to more lecture-centered, traditional ways of teaching E & M. An experimental and control group were compared and the following differences were observed. Statistic analyses were done with ANOVA (F-test). The results indicated that the treatment group significantly outperformed the control group on the achievement test, F(1,54) = 12.34, p <.05 and the treatment group had a higher rate of improvement than the control group on two subscales: Isolation of Variables and Abstract Transformation. The results from the Maryland Physics Expectations Survey (MPEX) showed that the treatment students became more field independent and were aware of more fundamental role played by physics concepts in complex problem solving. The protocol analysis of structured interviews revealed that students in the treatment group tended to visualize the problem from different aspects and articulated what they thought in a more scientific approach. Responses to the instructional evaluation questionnaire indicated overwhelming positive ratings of appropriateness and instructional effectiveness of computer simulation instruction. In conclusion, the CSI developed and evaluated in this study provided opportunities for students to refine their preconceptions and practice using new understandings. It suggests substantial promise for the computer simulation in a classroom environment.

  3. Classroom Preschool Science Learning: The Learner, Instructional Tools, and Peer-Learning Assignments

    NASA Astrophysics Data System (ADS)

    Reuter, Jamie M.

    The recent decades have seen an increased focus on improving early science education. Goals include helping young children learn about pertinent concepts in science, and fostering early scientific reasoning and inquiry skills (e.g., NRC 2007, 2012, 2015). However, there is still much to learn about what constitutes appropriate frameworks that blend science education with developmentally appropriate learning environments. An important goal for the construction of early science is a better understanding of appropriate learning experiences and expectations for preschool children. This dissertation examines some of these concerns by focusing on three dimensions of science learning in the preschool classroom: (1) the learner; (2) instructional tools and pedagogy; and (3) the social context of learning with peers. In terms of the learner, the dissertation examines some dimensions of preschool children's scientific reasoning skills in the context of potentially relevant, developing general reasoning abilities. As young children undergo rapid cognitive changes during the preschool years, it is important to explore how these may influence scientific thinking. Two features of cognitive functioning have been carefully studied: (1) the demonstration of an epistemic awareness through an emerging theory of mind, and (2) the rapid improvement in executive functioning capacity. Both continue to develop through childhood and adolescence, but changes in early childhood are especially striking and have been neglected as regards their potential role in scientific thinking. The question is whether such skills relate to young children's capacity for scientific thinking. Another goal was to determine whether simple physics diagrams serve as effective instructional tools in supporting preschool children's scientific thinking. Specifically, in activities involving predicting and checking in scientific contexts, the question is whether such diagrams facilitate children's ability to accurately recall initial predictions, as well as discriminate between the outcome of a scientific manipulation and their original predictions (i.e., to determine whether one's predictions were confirmed). Finally, this dissertation also explores the social context of learning science with peers in the preschool classroom. Due to little prior research in this area, it is currently unclear whether and how preschool children may benefit from working with peers on science activities in the classroom. This work aims to examine preschoolers' collaboration on a science learning activity, as well as the developmental function for such collaborative skills over the preschool years.

  4. Composing problem solvers for simulation experimentation: a case study on steady state estimation.

    PubMed

    Leye, Stefan; Ewald, Roland; Uhrmacher, Adelinde M

    2014-01-01

    Simulation experiments involve various sub-tasks, e.g., parameter optimization, simulation execution, or output data analysis. Many algorithms can be applied to such tasks, but their performance depends on the given problem. Steady state estimation in systems biology is a typical example for this: several estimators have been proposed, each with its own (dis-)advantages. Experimenters, therefore, must choose from the available options, even though they may not be aware of the consequences. To support those users, we propose a general scheme to aggregate such algorithms to so-called synthetic problem solvers, which exploit algorithm differences to improve overall performance. Our approach subsumes various aggregation mechanisms, supports automatic configuration from training data (e.g., via ensemble learning or portfolio selection), and extends the plugin system of the open source modeling and simulation framework James II. We show the benefits of our approach by applying it to steady state estimation for cell-biological models.

  5. Development of Finite-Volume Methods for Three-Dimensional Transonic Flows.

    DTIC Science & Technology

    1980-08-01

    rapidly. Away from the airfoil, the streamlines spread. This type of mesh can easily be blended into a Cartesian mesh for the far field. A disadvantage...E. W., and Stern, M. A. (1980) "Simulated Transonic Flows for Aircraft with Nacelles, Pylons and Winglets ," AIAA Paper 80-0130, January. Caughey, D. A

  6. SIM_EXPLORE: Software for Directed Exploration of Complex Systems

    NASA Technical Reports Server (NTRS)

    Burl, Michael; Wang, Esther; Enke, Brian; Merline, William J.

    2013-01-01

    Physics-based numerical simulation codes are widely used in science and engineering to model complex systems that would be infeasible to study otherwise. While such codes may provide the highest- fidelity representation of system behavior, they are often so slow to run that insight into the system is limited. Trying to understand the effects of inputs on outputs by conducting an exhaustive grid-based sweep over the input parameter space is simply too time-consuming. An alternative approach called "directed exploration" has been developed to harvest information from numerical simulators more efficiently. The basic idea is to employ active learning and supervised machine learning to choose cleverly at each step which simulation trials to run next based on the results of previous trials. SIM_EXPLORE is a new computer program that uses directed exploration to explore efficiently complex systems represented by numerical simulations. The software sequentially identifies and runs simulation trials that it believes will be most informative given the results of previous trials. The results of new trials are incorporated into the software's model of the system behavior. The updated model is then used to pick the next round of new trials. This process, implemented as a closed-loop system wrapped around existing simulation code, provides a means to improve the speed and efficiency with which a set of simulations can yield scientifically useful results. The software focuses on the case in which the feedback from the simulation trials is binary-valued, i.e., the learner is only informed of the success or failure of the simulation trial to produce a desired output. The software offers a number of choices for the supervised learning algorithm (the method used to model the system behavior given the results so far) and a number of choices for the active learning strategy (the method used to choose which new simulation trials to run given the current behavior model). The software also makes use of the LEGION distributed computing framework to leverage the power of a set of compute nodes. The approach has been demonstrated on a planetary science application in which numerical simulations are used to study the formation of asteroid families.

  7. Intermanual transfer characteristics of dynamic learning: direction, coordinate frame, and consolidation of interlimb generalization

    PubMed Central

    Thürer, Benjamin; Focke, Anne; Stein, Thorsten

    2015-01-01

    Intermanual transfer, i.e., generalization of motor learning across hands, is a well-accepted phenomenon of motor learning. Yet, there are open questions regarding the characteristics of this transfer, particularly the intermanual transfer of dynamic learning. In this study, we investigated intermanual transfer in a force field adaptation task concerning the direction and the coordinate frame of transfer as well as the influence of a 24-h consolidation period on the transfer. We tested 48 healthy human subjects for transfer from dominant to nondominant hand, and vice versa. We considered two features of transfer. First, we examined transfer to the untrained hand using force channel trials that suppress error feedback and learning mechanisms to assess intermanual transfer in the form of a practice-dependent bias. Second, we considered transfer by exposing the subjects to the force field with the untrained hand to check for faster learning of the dynamics (interlimb savings). Half of the subjects were tested for transfer immediately after adaptation, whereas the other half were tested after a 24-h consolidation period. Our results showed intermanual transfer both from dominant to nondominant hand and vice versa in extrinsic coordinates. After the consolidation period, transfer effects were weakened. Moreover, the transfer effects were negligible compared with the subjects' ability to rapidly adapt to the force field condition. We conclude that intermanual transfer is a bidirectional phenomenon that vanishes with time. However, the ability to transfer motor learning seems to play a minor role compared with the rapid adaptation processes. PMID:26424581

  8. The importance of using open source technologies and common standards for interoperability within eHealth: Perspectives from the Millennium Villages Project

    PubMed Central

    Borland, Rob; Barasa, Mourice; Iiams-Hauser, Casey; Velez, Olivia; Kaonga, Nadi Nina; Berg, Matt

    2013-01-01

    The purpose of this paper is to illustrate the importance of using open source technologies and common standards for interoperability when implementing eHealth systems and illustrate this through case studies, where possible. The sources used to inform this paper draw from the implementation and evaluation of the eHealth Program in the context of the Millennium Villages Project (MVP). As the eHealth Team was tasked to deploy an eHealth architecture, the Millennium Villages Global-Network (MVG-Net), across all fourteen of the MVP sites in Sub-Saharan Africa, the team recognized the need for standards and uniformity but also realized that context would be an important factor. Therefore, the team decided to utilize open source solutions. The MVP implementation of MVG-Net provides a model for those looking to implement informatics solutions across disciplines and countries. Furthermore, there are valuable lessons learned that the eHealth community can benefit from. By sharing lessons learned and developing an accessible, open-source eHealth platform, we believe that we can more efficiently and rapidly achieve the health-related and collaborative Millennium Development Goals (MDGs). PMID:22894051

  9. Investigating the Retention and Time-Course of Phonotactic Constraint Learning From Production Experience

    PubMed Central

    Warker, Jill A.

    2013-01-01

    Adults can rapidly learn artificial phonotactic constraints such as /f/ only occurs at the beginning of syllables by producing syllables that contain those constraints. This implicit learning is then reflected in their speech errors. However, second-order constraints in which the placement of a phoneme depends on another characteristic of the syllable (e.g., if the vowel is /æ/, /f/ occurs at the beginning of syllables and /s/ occurs at the end of syllables but if the vowel is /I/, the reverse is true) require a longer learning period. Two experiments question the transience of second-order learning and whether consolidation plays a role in learning phonological dependencies. Using speech errors as a measure of learning, Experiment 1 investigated the durability of learning, and Experiment 2 investigated the time-course of learning. Experiment 1 found that learning is still present in speech errors a week later. Experiment 2 looked at whether more time in the form of a consolidation period or more experience in the form of more trials was necessary for learning to be revealed in speech errors. Both consolidation and more trials led to learning; however, consolidation provided a more substantial benefit. PMID:22686839

  10. Learning Sequential Composition Control.

    PubMed

    Najafi, Esmaeil; Babuska, Robert; Lopes, Gabriel A D

    2016-11-01

    Sequential composition is an effective supervisory control method for addressing control problems in nonlinear dynamical systems. It executes a set of controllers sequentially to achieve a control specification that cannot be realized by a single controller. As these controllers are designed offline, sequential composition cannot address unmodeled situations that might occur during runtime. This paper proposes a learning approach to augment the standard sequential composition framework by using online learning to handle unforeseen situations. New controllers are acquired via learning and added to the existing supervisory control structure. In the proposed setting, learning experiments are restricted to take place within the domain of attraction (DOA) of the existing controllers. This guarantees that the learning process is safe (i.e., the closed loop system is always stable). In addition, the DOA of the new learned controller is approximated after each learning trial. This keeps the learning process short as learning is terminated as soon as the DOA of the learned controller is sufficiently large. The proposed approach has been implemented on two nonlinear systems: 1) a nonlinear mass-damper system and 2) an inverted pendulum. The results show that in both cases a new controller can be rapidly learned and added to the supervisory control structure.

  11. Do Simulations Enhance Student Learning? An Empirical Evaluation of an IR Simulation

    ERIC Educational Resources Information Center

    Shellman, Stephen M.; Turan, Kursad

    2006-01-01

    There is a nascent literature on the question of whether active learning methods, and in particular simulation methods, enhance student learning. In this article, the authors evaluate the utility of an international relations simulation in enhancing learning objectives. Student evaluations provide evidence that the simulation process enhances…

  12. Effect of improving the usability of an e-learning resource: a randomized trial.

    PubMed

    Davids, Mogamat Razeen; Chikte, Usuf M E; Halperin, Mitchell L

    2014-06-01

    Optimizing the usability of e-learning materials is necessary to reduce extraneous cognitive load and maximize their potential educational impact. However, this is often neglected, especially when time and other resources are limited. We conducted a randomized trial to investigate whether a usability evaluation of our multimedia e-learning resource, followed by fixing of all problems identified, would translate into improvements in usability parameters and learning by medical residents. Two iterations of our e-learning resource [version 1 (V1) and version 2 (V2)] were compared. V1 was the first fully functional version and V2 was the revised version after all identified usability problems were addressed. Residents in internal medicine and anesthesiology were randomly assigned to one of the versions. Usability was evaluated by having participants complete a user satisfaction questionnaire and by recording and analyzing their interactions with the application. The effect on learning was assessed by questions designed to test the retention and transfer of knowledge. Participants reported high levels of satisfaction with both versions, with good ratings on the System Usability Scale and adjective rating scale. In contrast, analysis of video recordings revealed significant differences in the occurrence of serious usability problems between the two versions, in particular in the interactive HandsOn case with its treatment simulation, where there was a median of five serious problem instances (range: 0-50) recorded per participant for V1 and zero instances (range: 0-1) for V2 (P < 0.001). There were no differences in tests of retention or transfer of knowledge between the two versions. In conclusion, usability evaluation followed by a redesign of our e-learning resource resulted in significant improvements in usability. This is likely to translate into improved motivation and willingness to engage with the learning material. In this population of relatively high-knowledge participants, learning scores were similar across the two versions. Copyright © 2014 The American Physiological Society.

  13. Effect of improving the usability of an e-learning resource: a randomized trial

    PubMed Central

    Chikte, Usuf M. E.; Halperin, Mitchell L.

    2014-01-01

    Optimizing the usability of e-learning materials is necessary to reduce extraneous cognitive load and maximize their potential educational impact. However, this is often neglected, especially when time and other resources are limited. We conducted a randomized trial to investigate whether a usability evaluation of our multimedia e-learning resource, followed by fixing of all problems identified, would translate into improvements in usability parameters and learning by medical residents. Two iterations of our e-learning resource [version 1 (V1) and version 2 (V2)] were compared. V1 was the first fully functional version and V2 was the revised version after all identified usability problems were addressed. Residents in internal medicine and anesthesiology were randomly assigned to one of the versions. Usability was evaluated by having participants complete a user satisfaction questionnaire and by recording and analyzing their interactions with the application. The effect on learning was assessed by questions designed to test the retention and transfer of knowledge. Participants reported high levels of satisfaction with both versions, with good ratings on the System Usability Scale and adjective rating scale. In contrast, analysis of video recordings revealed significant differences in the occurrence of serious usability problems between the two versions, in particular in the interactive HandsOn case with its treatment simulation, where there was a median of five serious problem instances (range: 0–50) recorded per participant for V1 and zero instances (range: 0–1) for V2 (P < 0.001). There were no differences in tests of retention or transfer of knowledge between the two versions. In conclusion, usability evaluation followed by a redesign of our e-learning resource resulted in significant improvements in usability. This is likely to translate into improved motivation and willingness to engage with the learning material. In this population of relatively high-knowledge participants, learning scores were similar across the two versions. PMID:24913451

  14. Human Systems Modeling and Simulation

    DTIC Science & Technology

    2005-12-01

    the formation of new practices. Mimesis is a process of observing manifested behavior, then building a practice that can produce a semblance of what...produce an image of – the behavior of others. Equivalently, mimesis is the foundational learning mechanism. o E.g., we become ourselves, and adapt to

  15. Driving student-centred calculus: results of a comprehensive case study for Kaizen learning in the Sultanate of Oman

    NASA Astrophysics Data System (ADS)

    Heim, Bernhard; Rupp, Florian; Viet, Nils; Stockhausen, Paul v.; Gallenkämper, Jonas; Kreuzer, Judith

    2015-04-01

    The art of teaching freshmen students is undergoing a rapid paradigm change. Classical forms of teaching are not applicable any more and an unmanageable offer of new multimedia tools and concepts is glutting the market. Moreover, compared to previous courses, the class size triples. In view of these challenges, we implemented a new teaching concept best described as Kaizen learning. By Kaizen learning, we define a teaching philosophy that is based on a concise mix of short learning units (with feedback loops and tests) and of carefully chosen repetitions (also with feedback loops and tests) to calibrate a course for the students. Here, this intensive blended, student-centred learning paradigm is analysed together with its direct impact on the students' performance. This case study leads to easy-to-implement key drivers for successfully teaching science in Oman, such as (1) human-human interaction, (2) clearly communicated expectations, (3) avoidance of a short-term learning attitude, (4) a no-calculator policy, (5) continuous Kaizen learning, and (6) balanced combination of traditional teaching and e-learning.

  16. Learning Oceanography from a Computer Simulation Compared with Direct Experience at Sea

    ERIC Educational Resources Information Center

    Winn, William; Stahr, Frederick; Sarason, Christian; Fruland, Ruth; Oppenheimer, Peter; Lee, Yen-Ling

    2006-01-01

    Considerable research has compared how students learn science from computer simulations with how they learn from "traditional" classes. Little research has compared how students learn science from computer simulations with how they learn from direct experience in the real environment on which the simulations are based. This study compared two…

  17. Surgical simulation: a urological perspective.

    PubMed

    Wignall, Geoffrey R; Denstedt, John D; Preminger, Glenn M; Cadeddu, Jeffrey A; Pearle, Margaret S; Sweet, Robert M; McDougall, Elspeth M

    2008-05-01

    Surgical education is changing rapidly as several factors including budget constraints and medicolegal concerns limit opportunities for urological trainees. New methods of skills training such as low fidelity bench trainers and virtual reality simulators offer new avenues for surgical education. In addition, surgical simulation has the potential to allow practicing surgeons to develop new skills and maintain those they already possess. We provide a review of the background, current status and future directions of surgical simulators as they pertain to urology. We performed a literature review and an overview of surgical simulation in urology. Surgical simulators are in various stages of development and validation. Several simulators have undergone extensive validation studies and are in use in surgical curricula. While virtual reality simulators offer the potential to more closely mimic reality and present entire operations, low fidelity simulators remain useful in skills training, particularly for novices and junior trainees. Surgical simulation remains in its infancy. However, the potential to shorten learning curves for difficult techniques and practice surgery without risk to patients continues to drive the development of increasingly more advanced and realistic models. Surgical simulation is an exciting area of surgical education. The future is bright as advancements in computing and graphical capabilities offer new innovations in simulator technology. Simulators must continue to undergo rigorous validation studies to ensure that time spent by trainees on bench trainers and virtual reality simulators will translate into improved surgical skills in the operating room.

  18. Software simulations of the detection of rapidly moving asteroids by a charge-coupled device

    NASA Astrophysics Data System (ADS)

    McMillan, R. S.; Stoll, C. P.

    1982-10-01

    A rendezvous of an unmanned probe to an earth-approaching asteroid has been given a high priority in the planning of interplanetary missions for the 1990s. Even without a space mission, much could be learned about the history of asteroids and comet nuclei if more information were available concerning asteroids with orbits which cross or approach the orbit of earth. It is estimated that the total number of earth-crossers accessible to ground-based survey telescopes should be approximately 1000. However, in connection with the small size and rapid angular motion expected of many of these objects an average of only one object is discovered per year. Attention is given to the development of the software necessary to distinguish such rapidly moving asteroids from stars and noise in continuously scanned CCD exposures of the night sky. Model and input parameters are considered along with detector sensitivity, aspects of minimum detectable displacement, and the point-spread function of the CCD.

  19. Developing a Problem-Based Learning Simulation: An Economics Unit on Trade

    ERIC Educational Resources Information Center

    Maxwell, Nan L.; Mergendoller, John R.; Bellisimo, Yolanda

    2004-01-01

    This article argues that the merger of simulations and problem-based learning (PBL) can enhance both active-learning strategies. Simulations benefit by using a PBL framework to promote student-directed learning and problem-solving skills to explain a simulated dilemma with multiple solutions. PBL benefits because simulations structure the…

  20. Development of the e-Baby serious game with regard to the evaluation of oxygenation in preterm babies: contributions of the emotional design.

    PubMed

    Fonseca, Luciana Mara Monti; Dias, Danielle Monteiro Vilela; Góes, Fernanda Dos Santos Nogueira; Seixas, Carlos Alberto; Scochi, Carmen Gracinda Silvan; Martins, José Carlos Amado; Rodrigues, Manuel Alves

    2014-09-01

    The present study aimed to describe the development process of a serious game that enables users to evaluate the respiratory process in a preterm infant based on an emotional design model. The e-Baby serious game was built to feature the simulated environment of an incubator, in which the user performs a clinical evaluation of the respiratory process in a virtual preterm infant. The user learns about the preterm baby's history, chooses the tools for the clinical evaluation, evaluates the baby, and determines whether his/her evaluation is appropriate. The e-Baby game presents phases that contain respiratory process impairments of higher or lower complexity in the virtual preterm baby. Included links give the user the option of recording the entire evaluation procedure and sharing his/her performance on a social network. e-Baby integrates a Clinical Evaluation of the Preterm Baby course in the Moodle virtual environment. This game, which evaluates the respiratory process in preterm infants, could support a more flexible, attractive, and interactive teaching and learning process that includes simulations with features very similar to neonatal unit realities, thus allowing more appropriate training for clinical oxygenation evaluations in at-risk preterm infants. e-Baby allows advanced user-technology-educational interactions because it requires active participation in the process and is emotionally integrated.

  1. Coupling machine learning with mechanistic models to study runoff production and river flow at the hillslope scale

    NASA Astrophysics Data System (ADS)

    Marçais, J.; Gupta, H. V.; De Dreuzy, J. R.; Troch, P. A. A.

    2016-12-01

    Geomorphological structure and geological heterogeneity of hillslopes are major controls on runoff responses. The diversity of hillslopes (morphological shapes and geological structures) on one hand, and the highly non linear runoff mechanism response on the other hand, make it difficult to transpose what has been learnt at one specific hillslope to another. Therefore, making reliable predictions on runoff appearance or river flow for a given hillslope is a challenge. Applying a classic model calibration (based on inverse problems technique) requires doing it for each specific hillslope and having some data available for calibration. When applied to thousands of cases it cannot always be promoted. Here we propose a novel modeling framework based on coupling process based models with data based approach. First we develop a mechanistic model, based on hillslope storage Boussinesq equations (Troch et al. 2003), able to model non linear runoff responses to rainfall at the hillslope scale. Second we set up a model database, representing thousands of non calibrated simulations. These simulations investigate different hillslope shapes (real ones obtained by analyzing 5m digital elevation model of Brittany and synthetic ones), different hillslope geological structures (i.e. different parametrizations) and different hydrologic forcing terms (i.e. different infiltration chronicles). Then, we use this model library to train a machine learning model on this physically based database. Machine learning model performance is then assessed by a classic validating phase (testing it on new hillslopes and comparing machine learning with mechanistic outputs). Finally we use this machine learning model to learn what are the hillslope properties controlling runoffs. This methodology will be further tested combining synthetic datasets with real ones.

  2. Bluetooth Low Energy Peripheral Android Health App for Educational and Interoperability Testing Purposes.

    PubMed

    Frohner, Matthias; Urbauer, Philipp; Sauermann, Stefan

    2017-01-01

    Based on recent telemonitoring activities in Austria for enabling integrated health care, the communication interfaces between personal health devices (e.g. blood pressure monitor) and personal health gateway devices (e.g. smartphone, routing received information to wide area networks) play an important role. In order to ease testing of the Bluetooth Low Energy interface functionality of the personal health gateway devices, a personal health device simulator was developed. Based on specifications from the Bluetooth SIG a XML software test configuration file structure is defined that declares the specific features of the personal health devices simulated. Using this configuration file, different scenarios are defined, e.g. send a single measurement result from a blood pressure reading or sending multiple (historic) weight scale readings. The simulator is intended to be used for educational purposes in lectures, where the number of physical personal health devices can be reduced and learning can be improved. It could be shown that this simulator assists the development process of mHealth applications by reducing the time needed for development and testing.

  3. Equatorially trapped convection in a rapidly rotating shallow shell

    NASA Astrophysics Data System (ADS)

    Miquel, Benjamin; Xie, Jin-Han; Featherstone, Nicholas; Julien, Keith; Knobloch, Edgar

    2018-05-01

    Motivated by the recent discovery of subsurface oceans on planetary moons and the interest they have generated, we explore convective flows in shallow spherical shells of dimensionless gap width ɛ2≪1 in the rapid rotation limit E ≪1 , where E is the Ekman number. We employ direct numerical simulation (DNS) of the Boussinesq equations to compute the local heat flux Nu (λ ) as a function of the latitude λ and use the results to characterize the trapping of convection at low latitudes, around the equator. We show that these results are quantitatively reproduced by an asymptotically exact nonhydrostatic equatorial β -plane convection model at a much more modest computational cost than DNS. We identify the trapping parameter β =ɛ E-1 as the key parameter that controls the vigor and latitudinal extent of convection for moderate thermal forcing when E ˜ɛ and ɛ ↓0 . This model provides a theoretical paradigm for nonlinear investigations.

  4. Simulated patients in audiology education: student reports.

    PubMed

    Naeve-Velguth, Susan; Christensen, Sara A; Woods, Suzanne

    2013-09-01

    Despite increased attention in recent years to audiology counseling education, students remain concerned about their abilities to interact with patients in challenging situations, such as when breaking difficult news. Simulated patients, or actors trained to portray patients in clinical scenarios, have been used for many years in medical schools to teach and assess students' interpersonal skills, and are just beginning to be used in audiology programs. Although research suggests that medical students value simulated patient experiences, little is known about whether the same is true for audiology students. The purpose of this study was to survey audiology students who had completed a simulated patient counseling experience as part of their graduate coursework at Central Michigan University, to learn about their experiences and views of this instructional format. This study used descriptive and comparative statistics to report student observations and to determine if student responses to evaluative questions differed from chance. Study participants included 29 audiology students who had completed a "breaking difficult news" simulated patient experience as part of their required graduate coursework in patient counseling. Participants completed an online survey that included seven evaluative five-point Likert-scale questions about their simulated patient counseling experience. Participants also completed one multiple-choice question on suggestions for future simulated-patient sessions. For each of the seven evaluative questions, a majority of participants (76-100%) responded positively, agreeing or strongly agreeing that the experience was helpful to their learning. For each of these evaluative questions, a χ² analysis revealed that the distribution of positive (i.e., strongly agree and agree) to nonpositive (i.e., neutral, disagree, and strongly disagree) responses differed significantly from chance (p < .0001, df = 1). The results also indicated that when asked which of several suggested clinical scenarios would be helpful for future sessions, simulations of challenging patient types (i.e., hostile, rambling, and noncommunicative patients) were supported by most (62-90%) respondents. The results of the present study are consistent with findings of medical students' positive perceptions of simulated patient experiences as well as those previously reported for audiology students. Together, these data support the continued use of simulated patients as a method of instruction for audiology counseling education for breaking difficult news, and suggest a potential value of using simulated patient interactions for training counseling skills in other clinical situations and scenarios. American Academy of Audiology.

  5. Reinforcement learning for routing in cognitive radio ad hoc networks.

    PubMed

    Al-Rawi, Hasan A A; Yau, Kok-Lim Alvin; Mohamad, Hafizal; Ramli, Nordin; Hashim, Wahidah

    2014-01-01

    Cognitive radio (CR) enables unlicensed users (or secondary users, SUs) to sense for and exploit underutilized licensed spectrum owned by the licensed users (or primary users, PUs). Reinforcement learning (RL) is an artificial intelligence approach that enables a node to observe, learn, and make appropriate decisions on action selection in order to maximize network performance. Routing enables a source node to search for a least-cost route to its destination node. While there have been increasing efforts to enhance the traditional RL approach for routing in wireless networks, this research area remains largely unexplored in the domain of routing in CR networks. This paper applies RL in routing and investigates the effects of various features of RL (i.e., reward function, exploitation, and exploration, as well as learning rate) through simulation. New approaches and recommendations are proposed to enhance the features in order to improve the network performance brought about by RL to routing. Simulation results show that the RL parameters of the reward function, exploitation, and exploration, as well as learning rate, must be well regulated, and the new approaches proposed in this paper improves SUs' network performance without significantly jeopardizing PUs' network performance, specifically SUs' interference to PUs.

  6. Reinforcement Learning for Routing in Cognitive Radio Ad Hoc Networks

    PubMed Central

    Al-Rawi, Hasan A. A.; Mohamad, Hafizal; Hashim, Wahidah

    2014-01-01

    Cognitive radio (CR) enables unlicensed users (or secondary users, SUs) to sense for and exploit underutilized licensed spectrum owned by the licensed users (or primary users, PUs). Reinforcement learning (RL) is an artificial intelligence approach that enables a node to observe, learn, and make appropriate decisions on action selection in order to maximize network performance. Routing enables a source node to search for a least-cost route to its destination node. While there have been increasing efforts to enhance the traditional RL approach for routing in wireless networks, this research area remains largely unexplored in the domain of routing in CR networks. This paper applies RL in routing and investigates the effects of various features of RL (i.e., reward function, exploitation, and exploration, as well as learning rate) through simulation. New approaches and recommendations are proposed to enhance the features in order to improve the network performance brought about by RL to routing. Simulation results show that the RL parameters of the reward function, exploitation, and exploration, as well as learning rate, must be well regulated, and the new approaches proposed in this paper improves SUs' network performance without significantly jeopardizing PUs' network performance, specifically SUs' interference to PUs. PMID:25140350

  7. Deep learning for studies of galaxy morphology

    NASA Astrophysics Data System (ADS)

    Tuccillo, D.; Huertas-Company, M.; Decencière, E.; Velasco-Forero, S.

    2017-06-01

    Establishing accurate morphological measurements of galaxies in a reasonable amount of time for future big-data surveys such as EUCLID, the Large Synoptic Survey Telescope or the Wide Field Infrared Survey Telescope is a challenge. Because of its high level of abstraction with little human intervention, deep learning appears to be a promising approach. Deep learning is a rapidly growing discipline that models high-level patterns in data as complex multilayered networks. In this work we test the ability of deep convolutional networks to provide parametric properties of Hubble Space Telescope like galaxies (half-light radii, Sérsic indices, total flux etc..). We simulate a set of galaxies including point spread function and realistic noise from the CANDELS survey and try to recover the main galaxy parameters using deep-learning. We compare the results with the ones obtained with the commonly used profile fitting based software GALFIT. This way showing that with our method we obtain results at least equally good as the ones obtained with GALFIT but, once trained, with a factor 5 hundred time faster.

  8. Impact of crisis resource management simulation-based training for interprofessional and interdisciplinary teams: A systematic review.

    PubMed

    Fung, Lillia; Boet, Sylvain; Bould, M Dylan; Qosa, Haytham; Perrier, Laure; Tricco, Andrea; Tavares, Walter; Reeves, Scott

    2015-01-01

    Crisis resource management (CRM) abilities are important for different healthcare providers to effectively manage critical clinical events. This study aims to review the effectiveness of simulation-based CRM training for interprofessional and interdisciplinary teams compared to other instructional methods (e.g., didactics). Interprofessional teams are composed of several professions (e.g., nurse, physician, midwife) while interdisciplinary teams are composed of several disciplines from the same profession (e.g., cardiologist, anaesthesiologist, orthopaedist). Medline, EMBASE, CINAHL, Cochrane Central Register of Controlled Trials, and ERIC were searched using terms related to CRM, crisis management, crew resource management, teamwork, and simulation. Trials comparing simulation-based CRM team training versus any other methods of education were included. The educational interventions involved interprofessional or interdisciplinary healthcare teams. The initial search identified 7456 publications; 12 studies were included. Simulation-based CRM team training was associated with significant improvements in CRM skill acquisition in all but two studies when compared to didactic case-based CRM training or simulation without CRM training. Of the 12 included studies, one showed significant improvements in team behaviours in the workplace, while two studies demonstrated sustained reductions in adverse patient outcomes after a single simulation-based CRM team intervention. In conclusion, CRM simulation-based training for interprofessional and interdisciplinary teams show promise in teaching CRM in the simulator when compared to didactic case-based CRM education or simulation without CRM teaching. More research, however, is required to demonstrate transfer of learning to workplaces and potential impact on patient outcomes.

  9. Experimenting `learn by doing' and `learn by failing'

    NASA Astrophysics Data System (ADS)

    Pozzi, Rossella; Noè, Carlo; Rossi, Tommaso

    2015-01-01

    According to the literature, in recent years, developing experiential learning has fulfilled the requirement of a deep understanding of lean philosophy by engineering students, demonstrating the advantages and disadvantages of some of the key principles of lean manufacturing. On the other hand, the literature evidences how some kinds of game-based experiential learning overlook daily difficulties, which play a central role in manufacturing systems. To fill the need of a game overcoming such lack of vision, an innovative game direct in-field, named Kart Factory, has been developed. Actual production shifts are simulated, while keeping all the elements peculiar to a real production set (i.e. complexity, effort, safety). The working environment is a real pedal car assembly department, the products to be assembled have relevant size and weight (i.e. up to 35 kg approximately), and the provided tools are real production equipment (e.g. keys, screwdrivers, trans-pallets, etc.). Due to the need to maximise the impact on students, a labour-intensive process characterises the production department. The whole training process is based on three educational principles: Experience Value Principle, Error Value Principle, and Team Value Principle. As the 'learn by doing' and 'learn by failing' are favoured, the theory follows the practice, while crating the willingness to 'do' instead of just designing or planning. The gathered data prove the Kart Factory's effectiveness in reaching a good knowledge of lean concepts, notwithstanding the students' initial knowledge level.

  10. Survey of outcomes in a faculty development program on simulation pedagogy.

    PubMed

    Roh, Young Sook; Kim, Mi Kang; Tangkawanich, Thitiarpha

    2016-06-01

    Although many nursing programs use simulation as a teaching-learning modality, there are few systematic approaches to help nursing educators learn this pedagogy. This study evaluates the effects of a simulation pedagogy nursing faculty development program on participants' learning perceptions using a retrospective pre-course and post-course design. Sixteen Thai participants completed a two-day nursing faculty development program on simulation pedagogy. Thirteen questionnaires were used in the final analysis. The participants' self-perceived learning about simulation teaching showed significant post-course improvement. On a five-point Likert scale, the composite mean attitude, subjective norm, and perceived behavioral control scores, as well as intention to use a simulator, showed a significant post-course increase. A faculty development program on simulation pedagogy induced favorable learning and attitudes. Further studies must test how faculty performance affects the cognitive, emotional, and social dimensions of learning in a simulation-based learning domain. © 2015 Wiley Publishing Asia Pty Ltd.

  11. Learning from the spinal cord: How the study of spinal cord plasticity informs our view of learning

    PubMed Central

    Grau, James W.

    2013-01-01

    The paper reviews research examining whether and how training can induce a lasting change in spinal cord function. A framework for the study of learning, and some essential issues in experimental design, are discussed. A core element involves delayed assessment under common conditions. Research has shown that brain systems can induce a lasting (memory-like) alteration in spinal function. Neurons within the lower (lumbosacral) spinal cord can also adapt when isolated from the brain by means of a thoracic transection. Using traditional learning paradigms, evidence suggests that spinal neurons support habituation and sensitization as well as Pavlovian and instrumental conditioning. At a neurobiological level, spinal systems support phenomena (e.g., long-term potentiation), and involve mechanisms (e.g., NMDA mediated plasticity, protein synthesis) implicated in brain-dependent learning and memory. Spinal learning also induces modulatory effects that alter the capacity for learning. Uncontrollable/unpredictable stimulation disables the capacity for instrumental learning and this effect has been linked to the cytokine tumor necrosis factor (TNF). Predictable/controllable stimulation enables learning and counters the adverse effects of uncontrollable simulation through a process that depends upon brain-derived neurotrophic factor (BDNF). Finally, uncontrollable, but not controllable, nociceptive stimulation impairs recovery after a contusion injury. A process-oriented approach (neurofunctionalism) is outlined that encourages a broader view of learning phenomena. PMID:23973905

  12. Clearing the Air

    ERIC Educational Resources Information Center

    Staehling, Erica

    2015-01-01

    This article describes a lesson on the greenhouse effect in which students explore blackbody radiation and Wien's law. The lesson, which has been tested in a variety of high school physics classrooms, uses probeware and online simulations and combines two well-established instructional strategies: the 5E Learning Cycle (Bybee et al. 2006) and the…

  13. A model linking immediate serial recall, the Hebb repetition effect and the learning of phonological word forms

    PubMed Central

    Page, M. P. A.; Norris, D.

    2009-01-01

    We briefly review the considerable evidence for a common ordering mechanism underlying both immediate serial recall (ISR) tasks (e.g. digit span, non-word repetition) and the learning of phonological word forms. In addition, we discuss how recent work on the Hebb repetition effect is consistent with the idea that learning in this task is itself a laboratory analogue of the sequence-learning component of phonological word-form learning. In this light, we present a unifying modelling framework that seeks to account for ISR and Hebb repetition effects, while being extensible to word-form learning. Because word-form learning is performed in the service of later word recognition, our modelling framework also subsumes a mechanism for word recognition from continuous speech. Simulations of a computational implementation of the modelling framework are presented and are shown to be in accordance with data from the Hebb repetition paradigm. PMID:19933143

  14. An interactive tool for outdoor computer controlled cultivation of microalgae in a tubular photobioreactor system.

    PubMed

    Dormido, Raquel; Sánchez, José; Duro, Natividad; Dormido-Canto, Sebastián; Guinaldo, María; Dormido, Sebastián

    2014-03-06

    This paper describes an interactive virtual laboratory for experimenting with an outdoor tubular photobioreactor (henceforth PBR for short). This virtual laboratory it makes possible to: (a) accurately reproduce the structure of a real plant (the PBR designed and built by the Department of Chemical Engineering of the University of Almería, Spain); (b) simulate a generic tubular PBR by changing the PBR geometry; (c) simulate the effects of changing different operating parameters such as the conditions of the culture (pH, biomass concentration, dissolved O2, inyected CO2, etc.); (d) simulate the PBR in its environmental context; it is possible to change the geographic location of the system or the solar irradiation profile; (e) apply different control strategies to adjust different variables such as the CO2 injection, culture circulation rate or culture temperature in order to maximize the biomass production; (f) simulate the harvesting. In this way, users can learn in an intuitive way how productivity is affected by any change in the design. It facilitates the learning of how to manipulate essential variables for microalgae growth to design an optimal PBR. The simulator has been developed with Easy Java Simulations, a freeware open-source tool developed in Java, specifically designed for the creation of interactive dynamic simulations.

  15. An Interactive Tool for Outdoor Computer Controlled Cultivation of Microalgae in a Tubular Photobioreactor System

    PubMed Central

    Dormido, Raquel; Sánchez, José; Duro, Natividad; Dormido-Canto, Sebastián; Guinaldo, María; Dormido, Sebastián

    2014-01-01

    This paper describes an interactive virtual laboratory for experimenting with an outdoor tubular photobioreactor (henceforth PBR for short). This virtual laboratory it makes possible to: (a) accurately reproduce the structure of a real plant (the PBR designed and built by the Department of Chemical Engineering of the University of Almería, Spain); (b) simulate a generic tubular PBR by changing the PBR geometry; (c) simulate the effects of changing different operating parameters such as the conditions of the culture (pH, biomass concentration, dissolved O2, inyected CO2, etc.); (d) simulate the PBR in its environmental context; it is possible to change the geographic location of the system or the solar irradiation profile; (e) apply different control strategies to adjust different variables such as the CO2 injection, culture circulation rate or culture temperature in order to maximize the biomass production; (f) simulate the harvesting. In this way, users can learn in an intuitive way how productivity is affected by any change in the design. It facilitates the learning of how to manipulate essential variables for microalgae growth to design an optimal PBR. The simulator has been developed with Easy Java Simulations, a freeware open-source tool developed in Java, specifically designed for the creation of interactive dynamic simulations. PMID:24662450

  16. Sensory Coding and Sensitivity to Local Estrogens Shift during Critical Period Milestones in the Auditory Cortex of Male Songbirds.

    PubMed

    Vahaba, Daniel M; Macedo-Lima, Matheus; Remage-Healey, Luke

    2017-01-01

    Vocal learning occurs during an experience-dependent, age-limited critical period early in development. In songbirds, vocal learning begins when presinging birds acquire an auditory memory of their tutor's song (sensory phase) followed by the onset of vocal production and refinement (sensorimotor phase). Hearing is necessary throughout the vocal learning critical period. One key brain area for songbird auditory processing is the caudomedial nidopallium (NCM), a telencephalic region analogous to mammalian auditory cortex. Despite NCM's established role in auditory processing, it is unclear how the response properties of NCM neurons may shift across development. Moreover, communication processing in NCM is rapidly enhanced by local 17β-estradiol (E2) administration in adult songbirds; however, the function of dynamically fluctuating E 2 in NCM during development is unknown. We collected bilateral extracellular recordings in NCM coupled with reverse microdialysis delivery in juvenile male zebra finches ( Taeniopygia guttata ) across the vocal learning critical period. We found that auditory-evoked activity and coding accuracy were substantially higher in the NCM of sensory-aged animals compared to sensorimotor-aged animals. Further, we observed both age-dependent and lateralized effects of local E 2 administration on sensory processing. In sensory-aged subjects, E 2 decreased auditory responsiveness across both hemispheres; however, a similar trend was observed in age-matched control subjects. In sensorimotor-aged subjects, E 2 dampened auditory responsiveness in left NCM but enhanced auditory responsiveness in right NCM. Our results reveal an age-dependent physiological shift in auditory processing and lateralized E 2 sensitivity that each precisely track a key neural "switch point" from purely sensory (pre-singing) to sensorimotor (singing) in developing songbirds.

  17. Sensory Coding and Sensitivity to Local Estrogens Shift during Critical Period Milestones in the Auditory Cortex of Male Songbirds

    PubMed Central

    2017-01-01

    Abstract Vocal learning occurs during an experience-dependent, age-limited critical period early in development. In songbirds, vocal learning begins when presinging birds acquire an auditory memory of their tutor’s song (sensory phase) followed by the onset of vocal production and refinement (sensorimotor phase). Hearing is necessary throughout the vocal learning critical period. One key brain area for songbird auditory processing is the caudomedial nidopallium (NCM), a telencephalic region analogous to mammalian auditory cortex. Despite NCM’s established role in auditory processing, it is unclear how the response properties of NCM neurons may shift across development. Moreover, communication processing in NCM is rapidly enhanced by local 17β-estradiol (E2) administration in adult songbirds; however, the function of dynamically fluctuating E2 in NCM during development is unknown. We collected bilateral extracellular recordings in NCM coupled with reverse microdialysis delivery in juvenile male zebra finches (Taeniopygia guttata) across the vocal learning critical period. We found that auditory-evoked activity and coding accuracy were substantially higher in the NCM of sensory-aged animals compared to sensorimotor-aged animals. Further, we observed both age-dependent and lateralized effects of local E2 administration on sensory processing. In sensory-aged subjects, E2 decreased auditory responsiveness across both hemispheres; however, a similar trend was observed in age-matched control subjects. In sensorimotor-aged subjects, E2 dampened auditory responsiveness in left NCM but enhanced auditory responsiveness in right NCM. Our results reveal an age-dependent physiological shift in auditory processing and lateralized E2 sensitivity that each precisely track a key neural “switch point” from purely sensory (pre-singing) to sensorimotor (singing) in developing songbirds. PMID:29255797

  18. Theoretical foundations of learning through simulation.

    PubMed

    Zigmont, Jason J; Kappus, Liana J; Sudikoff, Stephanie N

    2011-04-01

    Health care simulation is a powerful educational tool to help facilitate learning for clinicians and change their practice to improve patient outcomes and safety. To promote effective life-long learning through simulation, the educator needs to consider individuals, their experiences, and their environments. Effective education of adults through simulation requires a sound understanding of both adult learning theory and experiential learning. This review article provides a framework for developing and facilitating simulation courses, founded upon empiric and theoretic research in adult and experiential learning. Specifically, this article provides a theoretic foundation for using simulation to change practice to improve patient outcomes and safety. Copyright © 2011 Elsevier Inc. All rights reserved.

  19. Residents' perceptions of simulation as a clinical learning approach.

    PubMed

    Walsh, Catharine M; Garg, Ankit; Ng, Stella L; Goyal, Fenny; Grover, Samir C

    2017-02-01

    Simulation is increasingly being integrated into medical education; however, there is little research into trainees' perceptions of this learning modality. We elicited trainees' perceptions of simulation-based learning, to inform how simulation is developed and applied to support training. We conducted an instrumental qualitative case study entailing 36 semi-structured one-hour interviews with 12 residents enrolled in an introductory simulation-based course. Trainees were interviewed at three time points: pre-course, post-course, and 4-6 weeks later. Interview transcripts were analyzed using a qualitative descriptive analytic approach. Residents' perceptions of simulation included: 1) simulation serves pragmatic purposes; 2) simulation provides a safe space; 3) simulation presents perils and pitfalls; and 4) optimal design for simulation: integration and tension. Key findings included residents' markedly narrow perception of simulation's capacity to support non-technical skills development or its use beyond introductory learning. Trainees' learning expectations of simulation were restricted. Educators should critically attend to the way they present simulation to learners as, based on theories of problem-framing, trainees' a priori perceptions may delimit the focus of their learning experiences. If they view simulation as merely a replica of real cases for the purpose of practicing basic skills, they may fail to benefit from the full scope of learning opportunities afforded by simulation.

  20. Enhancing the T-shaped learning profile when teaching hydrology using data, modeling, and visualization activities

    NASA Astrophysics Data System (ADS)

    Sanchez, Christopher A.; Ruddell, Benjamin L.; Schiesser, Roy; Merwade, Venkatesh

    2016-03-01

    Previous research has suggested that the use of more authentic learning activities can produce more robust and durable knowledge gains. This is consistent with calls within civil engineering education, specifically hydrology, that suggest that curricula should more often include professional perspective and data analysis skills to better develop the "T-shaped" knowledge profile of a professional hydrologist (i.e., professional breadth combined with technical depth). It was expected that the inclusion of a data-driven simulation lab exercise that was contextualized within a real-world situation and more consistent with the job duties of a professional in the field, would provide enhanced learning and appreciation of job duties beyond more conventional paper-and-pencil exercises in a lower-division undergraduate course. Results indicate that while students learned in both conditions, learning was enhanced for the data-driven simulation group in nearly every content area. This pattern of results suggests that the use of data-driven modeling and visualization activities can have a significant positive impact on instruction. This increase in learning likely facilitates the development of student perspective and conceptual mastery, enabling students to make better choices about their studies, while also better preparing them for work as a professional in the field.

  1. Enhancing the T-shaped learning profile when teaching hydrology using data, modeling, and visualization activities

    NASA Astrophysics Data System (ADS)

    Sanchez, C. A.; Ruddell, B. L.; Schiesser, R.; Merwade, V.

    2015-07-01

    Previous research has suggested that the use of more authentic learning activities can produce more robust and durable knowledge gains. This is consistent with calls within civil engineering education, specifically hydrology, that suggest that curricula should more often include professional perspective and data analysis skills to better develop the "T-shaped" knowledge profile of a professional hydrologist (i.e., professional breadth combined with technical depth). It was expected that the inclusion of a data driven simulation lab exercise that was contextualized within a real-world situation and more consistent with the job duties of a professional in the field, would provide enhanced learning and appreciation of job duties beyond more conventional paper-and-pencil exercises in a lower division undergraduate course. Results indicate that while students learned in both conditions, learning was enhanced for the data-driven simulation group in nearly every content area. This pattern of results suggests that the use of data-driven modeling and visualization activities can have a significant positive impact on instruction. This increase in learning likely facilitates the development of student perspective and conceptual mastery, enabling students to make better choices about their studies, while also better preparing them for work as a professional in the field.

  2. Development and validation of the Simulation Learning Effectiveness Scale for nursing students.

    PubMed

    Pai, Hsiang-Chu

    2016-11-01

    To develop and validate the Simulation Learning Effectiveness Scale, which is based on Bandura's social cognitive theory. A simulation programme is a significant teaching strategy for nursing students. Nevertheless, there are few evidence-based instruments that validate the effectiveness of simulation learning in Taiwan. This is a quantitative descriptive design. In Study 1, a nonprobability convenience sample of 151 student nurses completed the Simulation Learning Effectiveness Scale. Exploratory factor analysis was used to examine the factor structure of the instrument. In Study 2, which involved 365 student nurses, confirmatory factor analysis and structural equation modelling were used to analyse the construct validity of the Simulation Learning Effectiveness Scale. In Study 1, exploratory factor analysis yielded three components: self-regulation, self-efficacy and self-motivation. The three factors explained 29·09, 27·74 and 19·32% of the variance, respectively. The final 12-item instrument with the three factors explained 76·15% of variance. Cronbach's alpha was 0·94. In Study 2, confirmatory factor analysis identified a second-order factor termed Simulation Learning Effectiveness Scale. Goodness-of-fit indices showed an acceptable fit overall with the full model (χ 2 /df (51) = 3·54, comparative fit index = 0·96, Tucker-Lewis index = 0·95 and standardised root-mean-square residual = 0·035). In addition, teacher's competence was found to encourage learning, and self-reflection and insight were significantly and positively associated with Simulation Learning Effectiveness Scale. Teacher's competence in encouraging learning also was significantly and positively associated with self-reflection and insight. Overall, theses variable explained 21·9% of the variance in the student's learning effectiveness. The Simulation Learning Effectiveness Scale is a reliable and valid means to assess simulation learning effectiveness for nursing students. The Simulation Learning Effectiveness Scale can be used to examine nursing students' learning effectiveness and serve as a basis to improve student's learning efficiency through simulation programmes. Future implementation research that focuses on the relationship between learning effectiveness and nursing competence in nursing students is recommended. © 2016 John Wiley & Sons Ltd.

  3. Learning Over Time: Using Rapid Prototyping Generative Analysis Experts and Reduction of Scope to Operationalize Design

    DTIC Science & Technology

    2010-05-04

    during the Vietnam Conflict. 67 David A. Kolb , Experiential Learning : Experience as the Source of Learning and Development. (Upper Saddle River, NJ...Essentials for Military Applications. Newport Paper #10. Newport: Newport War College Press. 1996. Kolb , David A. Experiential Learning : Experience... learning over analysis. A broad review of design theory suggests that four techniques - rapid prototyping, generative analysis, use of experts, and

  4. How are quasars fueled? Simulating interstellar gas in tidally disturbed galaxies

    NASA Technical Reports Server (NTRS)

    Byrd, Gene G.

    1986-01-01

    Whether gravitational tides from companions trigger global instabilities in spiral galaxy disks and thus rapid flows of gas into the nucleus to fuel activity is investigated. An n-body computer program is used to simulate the disk of the spiral galaxy within a much more stable, high-velocity dispersion spherical halo. Under sufficient perturbation, the disk undergoes violent distortions due to the disturber and its self-gravitation. The tidal action of companions was simulated and the tidal strengths at which the instabilities appear to match those of the observed companions of Seyferts and quasars was shown. With the additional modifications planned, the gas flow will be more realistically simulated to compare with observations (e.g., colors, velocity fields) of active galaxies.

  5. Producing Gestures Facilitates Route Learning

    PubMed Central

    So, Wing Chee; Ching, Terence Han-Wei; Lim, Phoebe Elizabeth; Cheng, Xiaoqin; Ip, Kit Yee

    2014-01-01

    The present study investigates whether producing gestures would facilitate route learning in a navigation task and whether its facilitation effect is comparable to that of hand movements that leave physical visible traces. In two experiments, we focused on gestures produced without accompanying speech, i.e., co-thought gestures (e.g., an index finger traces the spatial sequence of a route in the air). Adult participants were asked to study routes shown in four diagrams, one at a time. Participants reproduced the routes (verbally in Experiment 1 and non-verbally in Experiment 2) without rehearsal or after rehearsal by mentally simulating the route, by drawing it, or by gesturing (either in the air or on paper). Participants who moved their hands (either in the form of gestures or drawing) recalled better than those who mentally simulated the routes and those who did not rehearse, suggesting that hand movements produced during rehearsal facilitate route learning. Interestingly, participants who gestured the routes in the air or on paper recalled better than those who drew them on paper in both experiments, suggesting that the facilitation effect of co-thought gesture holds for both verbal and nonverbal recall modalities. It is possibly because, co-thought gesture, as a kind of representational action, consolidates spatial sequence better than drawing and thus exerting more powerful influence on spatial representation. PMID:25426624

  6. Implementation and evaluation of LMS mobile application: scele mobile based on user-centered design

    NASA Astrophysics Data System (ADS)

    Banimahendra, R. D.; Santoso, H. B.

    2018-03-01

    The development of mobile technology is now increasing rapidly, demanding all activities including learning should be done on mobile devices. It shows that the implementation of mobile application as a learning medium needs to be done. This study describes the process of developing and evaluating the Moodle-based mobile Learning Management System (LMS) application called Student Centered e-Learning Environment (SCeLE). This study discusses the process of defining features, implementing features into the application, and evaluating the application. We define the features using user research and literature study, then we implement the application with user-centered design basis, at the last phase we evaluated the application using usability testing and system usability score (SUS). The purpose of this study is to determine the extent to which this application can help the users doing their tasks and provide recommendation for the next research and development.

  7. Coagulation processes of kaolinite and montmorillonite in calm, saline water

    NASA Astrophysics Data System (ADS)

    Zhang, Jin-Feng; Zhang, Qing-He; Maa, Jerome P.-Y.

    2018-03-01

    A three dimensional numerical model for simulating the coagulation processes of colloids has been performed by monitoring the time evolution of particle number concentration, the size distribution of aggregates, the averaged settling velocity, the collision frequency, and the collision efficiency in quiescent water with selected salinities. This model directly simulates all interaction forces between particles based on the lattice Boltzmann method (LBM) and the extended Derjaguin-Landau-Verwey-Overbeek (XDLVO) theory, and thus, can reveal the collision and coagulation processes of colloidal suspensions. Although using perfect spherical particles in the modeling, the results were compared with those for kaolinite and montmorillonite suspensions to demonstrate the capability of simulating the responses of these particles with highly irregular shape. The averaged settling velocity of kaolinite aggregates in quiescent saline water reached a maximum of 0.16 mm/s when the salinity increasing to about 3, and then, exhibited little dependence on salinity thereafter. Model simulations results (by choosing specific values that represent kaolinite's characteristics) indicate a similar trend: rapid decrease of the particle number concentration (i.e., rapidly flocculated, and thus, settling velocity also increases rapidly) when salinity increases from 0 to 2, and then, only increased slightly when salinity was further increased from 5 to 20. The collision frequency for kaolinite only decreases slightly with increasing salinity because that the fluid density and viscosity increase slightly in sea water. It suggests that the collision efficiency for kaolinite rises rapidly at low salinities and levels off at high salinity. For montmorillonite, the settling velocity of aggregates in quiescent saline water continuedly increases to 0.022 mm/s over the whole salinity range 0-20, and the collision efficiency for montmorillonite rises with increasing salinities.

  8. Using the tools of the trade to understand plasma interactions at Jupiter and Saturn

    NASA Astrophysics Data System (ADS)

    Kivelson, Margaret G.

    2017-10-01

    For more than half a century, we have been learning how magnetospheres work. Fluid motions and electromagnetic interactions combine to produce the plasma and field environment of a planet. Kinetic responses often control the dynamics. Initial descriptions of the terrestrial magnetosphere were often theoretical (e.g., Chapman and Ferraro, Dungey) before an explosion of spacecraft data provided an atlas of the system and its temporal variations. The basic structure and dynamics of the terrestrial magnetosphere are now largely understood. A different situation exists for the magnetospheres of Jupiter, Saturn, and their moons. Data acquired from spacecraft flybys or from orbit have characterized many aspects of these systems, but measurements are far more limited than at Earth both in space and in time. Even after Cassini’s mission to Saturn and Juno’s prime mission at Jupiter have ended, large regions in the plasma environments of these planets will remain unexplored. No monitors are available to characterize the upstream solar wind. Theory is challenged by the complexity introduced by dynamical effects of the planets’ rapid rotation and the unfamiliar parameter regimes governing interactions with their large moons. Simulation has come to the rescue, providing computational models designed to incorporate the effects of rotation or to describe moon-magnetosphere interactions. Yet simulations must be viewed with appropriate skepticism as they invariably require some compromise with reality. This talk will describe a symbiotic approach to understanding the dynamics of giant planet magnetospheres and the plasma interactions between magnetospheric plasma and large moons. Data acquired along a spacecraft trajectory are compared with values extracted from a virtual spacecraft moving through the same path in the simulation. If results are similar, we use the simulation to identify the processes responsible for puzzling aspects of the signatures. If results differ, modifications of the simulation, such as changed boundary conditions, can improve agreement and provide more convincing insight into the properties of the systems.

  9. Learning Performance with Interactive Simulations in Medical Education: Lessons Learned from Results of Learning Complex Physiological Models with the HAEMOdynamics SIMulator

    ERIC Educational Resources Information Center

    Holzinger, Andreas; Kickmeier-Rust, Michael D.; Wassertheurer, Sigi; Hessinger, Michael

    2009-01-01

    Objective: Since simulations are often accepted uncritically, with excessive emphasis being placed on technological sophistication at the expense of underlying psychological and educational theories, we evaluated the learning performance of simulation software, in order to gain insight into the proper use of simulations for application in medical…

  10. Workforce Modeling & Simulation Education and Training for Lifelong Learning: Modeling & Simulation Education Catalog

    DTIC Science & Technology

    2007-03-01

    LEARNING : MODELING & SIMULATION EDUCATION CATALOG by Jean Catalano Jarema M. Didoszak March 2007...Technical Report, 11/06 – 02/07 4. TITLE AND SUBTITLE: Workforce Modeling & Simulation Education and Training for Lifelong Learning ...Modeling and Simulation Education and Training for Lifelong Learning project. The catalog contains searchable information about 253 courses from 23 U.S

  11. exprso: an R-package for the rapid implementation of machine learning algorithms.

    PubMed

    Quinn, Thomas; Tylee, Daniel; Glatt, Stephen

    2016-01-01

    Machine learning plays a major role in many scientific investigations. However, non-expert programmers may struggle to implement the elaborate pipelines necessary to build highly accurate and generalizable models. We introduce exprso , a new R package that is an intuitive machine learning suite designed specifically for non-expert programmers. Built initially for the classification of high-dimensional data, exprso uses an object-oriented framework to encapsulate a number of common analytical methods into a series of interchangeable modules. This includes modules for feature selection, classification, high-throughput parameter grid-searching, elaborate cross-validation schemes (e.g., Monte Carlo and nested cross-validation), ensemble classification, and prediction. In addition, exprso also supports multi-class classification (through the 1-vs-all generalization of binary classifiers) and the prediction of continuous outcomes.

  12. Navigating Tensions Between Conceptual and Metaconceptual Goals in the Use of Models

    NASA Astrophysics Data System (ADS)

    Delgado, Cesar

    2015-04-01

    Science education involves learning about phenomena at three levels: concrete (facts and generalizations), conceptual (concepts and theories), and metaconceptual (epistemology) (Snir et al. in J Sci Educ Technol 2(2):373-388, 1993). Models are key components in science, can help build conceptual understanding, and may also build metaconceptual understanding. Technology can transform teaching and learning by turning models into interactive simulations that learners can investigate. This paper identifies four characteristics of models and simulations that support conceptual learning but misconstrue models and science at a metaconceptual level. Ahistorical models combine the characteristics of several historical models; they conveniently compile ideas but misrepresent the history of science (Gilbert in Int J Sci Math Educ 2(2):115-130, 2004). Teleological models explain behavior in terms of a final cause; they can lead to useful heuristics but imply purpose in processes driven by chance and probability (Talanquer in Int J Sci Educ 29(7):853-870, 2007). Epistemological overreach occurs when models or simulations imply greater certainty and knowledge about phenomena than warranted; conceptualizing nature as being well known (e.g., having a mathematical structure) poses the danger of conflating model and reality or data and theory. Finally, models are inevitably ontologically impoverished. Real-world deviations and many variables are left out of models, as models' role is to simplify. Models and simulations also lose much of the sensory data present in phenomena. Teachers, designers, and professional development designers and facilitators must thus navigate the tension between conceptual and metaconceptual learning when using models and simulations. For each characteristic, examples are provided, along with recommendations for instruction and design. Prompts for explicit reflective activities around models are provided for each characteristic

  13. Residents’ perceptions of simulation as a clinical learning approach

    PubMed Central

    Walsh, Catharine M.; Garg, Ankit; Ng, Stella L.; Goyal, Fenny; Grover, Samir C.

    2017-01-01

    Background Simulation is increasingly being integrated into medical education; however, there is little research into trainees’ perceptions of this learning modality. We elicited trainees’ perceptions of simulation-based learning, to inform how simulation is developed and applied to support training. Methods We conducted an instrumental qualitative case study entailing 36 semi-structured one-hour interviews with 12 residents enrolled in an introductory simulation-based course. Trainees were interviewed at three time points: pre-course, post-course, and 4–6 weeks later. Interview transcripts were analyzed using a qualitative descriptive analytic approach. Results Residents’ perceptions of simulation included: 1) simulation serves pragmatic purposes; 2) simulation provides a safe space; 3) simulation presents perils and pitfalls; and 4) optimal design for simulation: integration and tension. Key findings included residents’ markedly narrow perception of simulation’s capacity to support non-technical skills development or its use beyond introductory learning. Conclusion Trainees’ learning expectations of simulation were restricted. Educators should critically attend to the way they present simulation to learners as, based on theories of problem-framing, trainees’ a priori perceptions may delimit the focus of their learning experiences. If they view simulation as merely a replica of real cases for the purpose of practicing basic skills, they may fail to benefit from the full scope of learning opportunities afforded by simulation. PMID:28344719

  14. The Impact of an Authentic, Simulated Learning Activity on Student Preparedness for Work-Integrated Learning

    ERIC Educational Resources Information Center

    Nicola-Richmond, Kelli; Richards, Kieva; Britt, Kellie

    2016-01-01

    Student preparation for work-integrated learning using simulated learning experiences is an under researched field in occupational therapy. In 2013 the Deakin University occupational therapy degree introduced a simulated learning experience for students aimed at preparing them for work-integrated learning experiences. The session gave students an…

  15. Rapid and Accurate Idea Transfer: Presenting Ideas with Concept Maps

    DTIC Science & Technology

    2008-07-30

    AndolanerAncholik Itihas (Regional Histor of the State Language Movement), Dhaka: Bangla Academy. Muhith. A.M.A. (1978) Bangladesh. Emergence qf a Nation, Dhaka...The incidental learning paradigm presumes that information processed at deeper (i.e., more conceptually connected) levels will result in superior...consideration dovetails with Kinchen and Cabot’s (2007) results showing that Concept Maps enable deeper levels of information processing over PowerPoint

  16. Reward-based learning under hardware constraints-using a RISC processor embedded in a neuromorphic substrate.

    PubMed

    Friedmann, Simon; Frémaux, Nicolas; Schemmel, Johannes; Gerstner, Wulfram; Meier, Karlheinz

    2013-01-01

    In this study, we propose and analyze in simulations a new, highly flexible method of implementing synaptic plasticity in a wafer-scale, accelerated neuromorphic hardware system. The study focuses on globally modulated STDP, as a special use-case of this method. Flexibility is achieved by embedding a general-purpose processor dedicated to plasticity into the wafer. To evaluate the suitability of the proposed system, we use a reward modulated STDP rule in a spike train learning task. A single layer of neurons is trained to fire at specific points in time with only the reward as feedback. This model is simulated to measure its performance, i.e., the increase in received reward after learning. Using this performance as baseline, we then simulate the model with various constraints imposed by the proposed implementation and compare the performance. The simulated constraints include discretized synaptic weights, a restricted interface between analog synapses and embedded processor, and mismatch of analog circuits. We find that probabilistic updates can increase the performance of low-resolution weights, a simple interface between analog synapses and processor is sufficient for learning, and performance is insensitive to mismatch. Further, we consider communication latency between wafer and the conventional control computer system that is simulating the environment. This latency increases the delay, with which the reward is sent to the embedded processor. Because of the time continuous operation of the analog synapses, delay can cause a deviation of the updates as compared to the not delayed situation. We find that for highly accelerated systems latency has to be kept to a minimum. This study demonstrates the suitability of the proposed implementation to emulate the selected reward modulated STDP learning rule. It is therefore an ideal candidate for implementation in an upgraded version of the wafer-scale system developed within the BrainScaleS project.

  17. Reward-based learning under hardware constraints—using a RISC processor embedded in a neuromorphic substrate

    PubMed Central

    Friedmann, Simon; Frémaux, Nicolas; Schemmel, Johannes; Gerstner, Wulfram; Meier, Karlheinz

    2013-01-01

    In this study, we propose and analyze in simulations a new, highly flexible method of implementing synaptic plasticity in a wafer-scale, accelerated neuromorphic hardware system. The study focuses on globally modulated STDP, as a special use-case of this method. Flexibility is achieved by embedding a general-purpose processor dedicated to plasticity into the wafer. To evaluate the suitability of the proposed system, we use a reward modulated STDP rule in a spike train learning task. A single layer of neurons is trained to fire at specific points in time with only the reward as feedback. This model is simulated to measure its performance, i.e., the increase in received reward after learning. Using this performance as baseline, we then simulate the model with various constraints imposed by the proposed implementation and compare the performance. The simulated constraints include discretized synaptic weights, a restricted interface between analog synapses and embedded processor, and mismatch of analog circuits. We find that probabilistic updates can increase the performance of low-resolution weights, a simple interface between analog synapses and processor is sufficient for learning, and performance is insensitive to mismatch. Further, we consider communication latency between wafer and the conventional control computer system that is simulating the environment. This latency increases the delay, with which the reward is sent to the embedded processor. Because of the time continuous operation of the analog synapses, delay can cause a deviation of the updates as compared to the not delayed situation. We find that for highly accelerated systems latency has to be kept to a minimum. This study demonstrates the suitability of the proposed implementation to emulate the selected reward modulated STDP learning rule. It is therefore an ideal candidate for implementation in an upgraded version of the wafer-scale system developed within the BrainScaleS project. PMID:24065877

  18. Comparing the Cultural Dimensions and Learners' Perceived Effectiveness of Online Learning Systems (OLS) among American and Malaysian Learners

    ERIC Educational Resources Information Center

    Keng, Seng C.

    2010-01-01

    With the rapid and exponential growth of Internet use worldwide, online learning has become one of the most widely used learning paradigms in the education environment. Yet despite the rapidly increasing cultural diversity of online learners, few studies have investigated the effectiveness of cross-cultural Online Learning Systems (OLS) using a…

  19. Potential of information technology in dental education.

    PubMed

    Mattheos, N; Stefanovic, N; Apse, P; Attstrom, R; Buchanan, J; Brown, P; Camilleri, A; Care, R; Fabrikant, E; Gundersen, S; Honkala, S; Johnson, L; Jonas, I; Kavadella, A; Moreira, J; Peroz, I; Perryer, D G; Seemann, R; Tansy, M; Thomas, H F; Tsuruta, J; Uribe, S; Urtane, I; Walsh, T F; Zimmerman, J; Walmsley, A D

    2008-02-01

    The use of information technology (IT) in dentistry is far ranging. In order to produce a working document for the dental educator, this paper focuses on those methods where IT can assist in the education and competence development of dental students and dentists (e.g. e-learning, distance learning, simulations and computer-based assessment). Web pages and other information-gathering devices have become an essential part of our daily life, as they provide extensive information on all aspects of our society. This is mirrored in dental education where there are many different tools available, as listed in this report. IT offers added value to traditional teaching methods and examples are provided. In spite of the continuing debate on the learning effectiveness of e-learning applications, students request such approaches as an adjunct to the traditional delivery of learning materials. Faculty require support to enable them to effectively use the technology to the benefit of their students. This support should be provided by the institution and it is suggested that, where possible, institutions should appoint an e-learning champion with good interpersonal skills to support and encourage faculty change. From a global prospective, all students and faculty should have access to e-learning tools. This report encourages open access to e-learning material, platforms and programs. The quality of such learning materials must have well defined learning objectives and involve peer review to ensure content validity, accuracy, currency, the use of evidence-based data and the use of best practices. To ensure that the developers' intellectual rights are protected, the original content needs to be secure from unauthorized changes. Strategies and recommendations on how to improve the quality of e-learning are outlined. In the area of assessment, traditional examination schemes can be enriched by IT, whilst the Internet can provide many innovative approaches. Future trends in IT will evolve around improved uptake and access facilitated by the technology (hardware and software). The use of Web 2.0 shows considerable promise and this may have implications on a global level. For example, the one-laptop-per-child project is the best example of what Web 2.0 can do: minimal use of hardware to maximize use of the Internet structure. In essence, simple technology can overcome many of the barriers to learning. IT will always remain exciting, as it is always changing and the users, whether dental students, educators or patients are like chameleons adapting to the ever-changing landscape.

  20. Interactive Learning During Solar Maximum

    NASA Technical Reports Server (NTRS)

    Ashour-Abdalla, Maha; Curtis, Steven (Technical Monitor)

    2001-01-01

    The goal of this project is to develop and distribute e-educational material for space science during times of solar activity that emphasizes underlying basic science principles of solar disturbances and their effects on Earth. This includes materials such as simulations, animations, group projects and other on-line materials to be used by students either in high school or at the introductory college level. The on-line delivery tool originally intended to be used is known as Interactive Multimedia Education at a Distance (IMED), which is a web-based software system used at UCLA for interactive distance learning. IMED is a password controlled system that allows students to access text, images, bulletin boards, chat rooms, animation, simulations and individual student web sites to study science and to collaborate on group projects.

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