A database de-identification framework to enable direct queries on medical data for secondary use.

PubMed

Erdal, B S; Liu, J; Ding, J; Chen, J; Marsh, C B; Kamal, J; Clymer, B D

2012-01-01

To qualify the use of patient clinical records as non-human-subject for research purpose, electronic medical record data must be de-identified so there is minimum risk to protected health information exposure. This study demonstrated a robust framework for structured data de-identification that can be applied to any relational data source that needs to be de-identified. Using a real world clinical data warehouse, a pilot implementation of limited subject areas were used to demonstrate and evaluate this new de-identification process. Query results and performances are compared between source and target system to validate data accuracy and usability. The combination of hashing, pseudonyms, and session dependent randomizer provides a rigorous de-identification framework to guard against 1) source identifier exposure; 2) internal data analyst manually linking to source identifiers; and 3) identifier cross-link among different researchers or multiple query sessions by the same researcher. In addition, a query rejection option is provided to refuse queries resulting in less than preset numbers of subjects and total records to prevent users from accidental subject identification due to low volume of data. This framework does not prevent subject re-identification based on prior knowledge and sequence of events. Also, it does not deal with medical free text de-identification, although text de-identification using natural language processing can be included due its modular design. We demonstrated a framework resulting in HIPAA Compliant databases that can be directly queried by researchers. This technique can be augmented to facilitate inter-institutional research data sharing through existing middleware such as caGrid.

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…

The Role of Learning Goals in Building a Knowledge Base for Elementary Mathematics Teacher Education

ERIC Educational Resources Information Center

Jansen, Amanda; Bartell, Tonya; Berk, Dawn

2009-01-01

In this article, we describe features of learning goals that enable indexing knowledge for teacher education. Learning goals are the key enabler for building a knowledge base for teacher education; they define what counts as essential knowledge for prospective teachers. We argue that 2 characteristics of learning goals support knowledge-building…

Towards Designing Cognitively-Enriched Project-Oriented Courses within a Blended Problem-Based Learning Context

ERIC Educational Resources Information Center

Tambouris, Efthimios; Zotou, Maria; Tarabanis, Konstantinos

2014-01-01

Traditional education seems to gradually and moderately make way for self-directed and student-centred learning strategies that will efficiently enable students to reach their full potentials and will sufficiently prepare them for their upcoming professional careers. Problem-Based Learning (PBL) is such a strategy, since it enables active…

The Comparison of Students' Satisfaction between Ubiquitous and Web-Based Learning Environments

ERIC Educational Resources Information Center

Virtanen, Mari Aulikki; Kääriäinen, Maria; Liikanen, Eeva; Haavisto, Elina

2017-01-01

Higher education is moving towards digitalized learning. The rapid development of technological resources, devices and wireless networks enables more flexible opportunities to study and learn in innovative learning environments. New technologies enable combining of authentic and virtual learning spaces and digital resources as multifunctional…

Effectiveness and Impact of Technology-Enabled Project-Based Learning with the Use of Process Prompts in Teacher Education

ERIC Educational Resources Information Center

Chen, Ching-Huei; Chan, Lim-Ha

2011-01-01

This study investigated the effectiveness and impacts of process prompts on students' learning and computer self-efficacy within the technology-enabled project-based learning (PBL) context in an undergraduate educational technology course. If the aim is to prepare prospective teachers to effectively, efficiently, and engagingly use technologies in…

Action Learning: Avoiding Conflict or Enabling Action

ERIC Educational Resources Information Center

Corley, Aileen; Thorne, Ann

2006-01-01

Action learning is based on the premise that action and learning are inextricably entwined and it is this potential, to enable action, which has contributed to the growth of action learning within education and management development programmes. However has this growth in action learning lead to an evolution or a dilution of Revan's classical…

Developing Long-Term Computing Skills among Low-Achieving Students via Web-Enabled Problem-Based Learning and Self-Regulated Learning

ERIC Educational Resources Information Center

Tsai, Chia-Wen; Lee, Tsang-Hsiung; Shen, Pei-Di

2013-01-01

Many private vocational schools in Taiwan have taken to enrolling students with lower levels of academic achievement. The authors re-designed a course and conducted a series of quasi-experiments to develop students' long-term computing skills, and examined the longitudinal effects of web-enabled, problem-based learning (PBL) and self-regulated…

Does Artificial Tutoring Foster Inquiry Based Learning?

ERIC Educational Resources Information Center

Schmoelz, Alexander; Swertz, Christian; Forstner, Alexandra; Barberi, Alessandro

2014-01-01

This contribution looks at the Intelligent Tutoring Interface for Technology Enhanced Learning, which integrates multistage-learning and inquiry-based learning in an adaptive e-learning system. Based on a common pedagogical ontology, adaptive e-learning systems can be enabled to recommend learning objects and activities, which follow inquiry-based…

Using Wikis as a Support and Assessment Tool in Collaborative Digital Game-Based Learning Environments

ERIC Educational Resources Information Center

Samur, Yavuz

2011-01-01

In computer-supported collaborative learning (CSCL) environments, there are many researches done on collaborative learning activities; however, in game-based learning environments, more research and literature on collaborative learning activities are required. Actually, both game-based learning environments and wikis enable us to use new chances…

Automotive Mechanics. Student Learning Guides.

ERIC Educational Resources Information Center

Ridge Vocational-Technical Center, Winter Haven, FL.

These 33 learning guides are self-instructional packets for 33 tasks identified as essential for performance on an entry-level job in automotive mechanics. Each guide is based on a terminal performance objective (task) and 1-9 enabling objectives. For each enabliing objective, some or all of these materials may be presented: learning steps…

Mechanical Drafting. Student Learning Guides.

ERIC Educational Resources Information Center

Ridge Vocational-Technical Center, Winter Haven, FL.

These four learning guides are self-instructional packets for four tasks identified as essential for performance on an entry-level job in mechanical drafting. Each guide is based on a terminal performance objective (task) and 2-4 enabling objectives. For each enabling objective, some or all of these materials may be presented: learning steps…

Livestock. Student Learning Guides.

ERIC Educational Resources Information Center

Ridge Vocational-Technical Center, Winter Haven, FL.

These 25 learning guides are self-instructional packets for 25 tasks identified as essential for performance on an entry-level job in livestock production. Each guide is based on a terminal performance objective (task) and 1-4 enabling objectives. For each enabling objective, some or all of these materials may be presented: learning steps (outline…

Interactive web-based learning modules prior to general medicine advanced pharmacy practice experiences.

PubMed

Isaacs, Alex N; Walton, Alison M; Nisly, Sarah A

2015-04-25

To implement and evaluate interactive web-based learning modules prior to advanced pharmacy practice experiences (APPEs) on inpatient general medicine. Three clinical web-based learning modules were developed for use prior to APPEs in 4 health care systems. The aim of the interactive modules was to strengthen baseline clinical knowledge before the APPE to enable the application of learned material through the delivery of patient care. For the primary endpoint, postassessment scores increased overall and for each individual module compared to preassessment scores. Postassessment scores were similar among the health care systems. The survey demonstrated positive student perceptions of this learning experience. Prior to inpatient general medicine APPEs, web-based learning enabled the standardization and assessment of baseline student knowledge across 4 health care systems.

Assessment of Project-Based Learning in a MECHATRONICS Context

ERIC Educational Resources Information Center

Doppelt, Yaron

2005-01-01

Project-based learning (PBL) that has authenticity in the pupils' world enables the teaching of science and technology to pupils from a variety of backgrounds. PBL has the potential to enable pupils to research, plan, design, and reflect on the creation of technological projects (Doppelt, 2000). Engineering education, which is common in Israel,…

The Effects of Students' Learning Anxiety and Motivation on the Learning Achievement in the Activity Theory Based Gamified Learning Environment

ERIC Educational Resources Information Center

Su, Chung-Ho

2017-01-01

The advancement of mobile game-based learning has encouraged many related studies, which has enabled students to learn more and faster. To enhance the clinical path of cardiac catheterization learning, this paper has developed a mobile 3D-CCGBLS (3D Cardiac Catheterization Game-Based Learning System) with a learning assessment for cardiac…

Parts Marketing. A Student Learning Guide.

ERIC Educational Resources Information Center

Ridge Vocational-Technical Center, Winter Haven, FL.

This learning guide is a self-instructional packet for one task identified as essential for performance on an entry-level job in parts marketing. The guide is based on a terminal performance objective (task) and two enabling objectives. For each enabling objective, some or all of these materials may be presented: learning steps (outline of student…

Welding. Student Learning Guides.

ERIC Educational Resources Information Center

Ridge Vocational-Technical Center, Winter Haven, FL.

These 23 learning guides are self-instructional packets for 23 tasks identified as essential for performance on an entry-level job in welding. Each guide is based on a terminal performance objective (task) and 1-4 enabling objectives. For each enabling objective, some or all of these materials may be presented: learning steps (outline of student…

Plumbing and Pipefitting. Student Learning Guides.

ERIC Educational Resources Information Center

Ridge Vocational-Technical Center, Winter Haven, FL.

These 32 learning guides are self-instructional packets for 32 tasks identified as essential for performance on an entry-level job in plumbing and pipefitting. Each guide is based on a terminal performance objective (task) and 1-4 enabling objectives. For each enabling objective, some or all of these materials may be presented: learning steps…

Clothing Production. Student Learning Guides.

ERIC Educational Resources Information Center

Ridge Vocational-Technical Center, Winter Haven, FL.

These 59 learning guides are self-instructional packets for 59 tasks identified as essential for performance on an entry-level job in clothing production. Each guide is based on a terminal performance objective (task) and 2-5 enabling objectives. For each enabling objective, some or all of these materials may be presented: learning steps (outline…

Enabling School Structures, Collegial Trust and Academic Emphasis: Antecedents of professional learning communities

ERIC Educational Resources Information Center

Gray, Julie; Kruse, Sharon; Tarter, C. John

2016-01-01

This study tested the role of enabling school structures, collegial trust and academic emphasis in the development of professional learning communities (PLCs) in a low-income school district. The empirical study was based upon the perceptions of teachers and principals as provided by survey responses (N = 67 schools). While enabling school…

ICT-Based Learning Personalization Affordance in the Context of Implementation of Constructionist Learning Activities

ERIC Educational Resources Information Center

Ignatova, Natalija; Dagiene, Valentina; Kubilinskiene, Svetlana

2015-01-01

How to enable students to create a personalized learning environment? What are the criteria of evaluation of the ICT-based learning process personalization affordance? These questions are answered by conducting multiple case study research of the innovative ICT-based learning process in iTEC (Innovative Technologies for Engaging Classrooms)…

Enabling People Who Are Blind to Experience Science Inquiry Learning through Sound-Based Mediation

ERIC Educational Resources Information Center

Levy, S. T.; Lahav, O.

2012-01-01

This paper addresses a central need among people who are blind, access to inquiry-based science learning materials, which are addressed by few other learning environments that use assistive technologies. In this study, we investigated ways in which learning environments based on sound mediation can support science learning by blind people. We used…

KDU E-Community Network.

ERIC Educational Resources Information Center

Jonhendro; Ching, Goh Bee; Wahab, Rohazna; Leng, Wang Meei; Aun, Jimmy Tan Lip; Yeoh, Eugene; Hock, Oon; Koo, W. K.

2001-01-01

Describes an education initiative developed by a company in Malaysia, the KDU, to implement a student-centered, teacher-facilitated, educational technology-enabled and knowledge-based learning environment. Explains the KDU e-Community Network that enables passive, interactive, collaborative, and constructivist learning for a variety of…

Q-Learning-Based Adjustable Fixed-Phase Quantum Grover Search Algorithm

NASA Astrophysics Data System (ADS)

Guo, Ying; Shi, Wensha; Wang, Yijun; Hu, Jiankun

2017-02-01

We demonstrate that the rotation phase can be suitably chosen to increase the efficiency of the phase-based quantum search algorithm, leading to a dynamic balance between iterations and success probabilities of the fixed-phase quantum Grover search algorithm with Q-learning for a given number of solutions. In this search algorithm, the proposed Q-learning algorithm, which is a model-free reinforcement learning strategy in essence, is used for performing a matching algorithm based on the fraction of marked items λ and the rotation phase α. After establishing the policy function α = π(λ), we complete the fixed-phase Grover algorithm, where the phase parameter is selected via the learned policy. Simulation results show that the Q-learning-based Grover search algorithm (QLGA) enables fewer iterations and gives birth to higher success probabilities. Compared with the conventional Grover algorithms, it avoids the optimal local situations, thereby enabling success probabilities to approach one.

Applying Web-Enabled Problem-Based Learning and Self-Regulated Learning to Add Value to Computing Education in Taiwan's Vocational Schools

ERIC Educational Resources Information Center

Lee, Tsang-Hsiung; Shen, Pei-Di; Tsai, Chia-Wen

2008-01-01

This article describes the design and delivery of a compulsory course in packaged software at vocational schools in Taiwan. A course website was devised and deployed to supplement learning activities in the traditional classroom. A series of quasi-experiments was conducted with innovative instructional designs, that is, web-enabled problem-based…

Web-Based Learning Design Tool

ERIC Educational Resources Information Center

Bruno, F. B.; Silva, T. L. K.; Silva, R. P.; Teixeira, F. G.

2012-01-01

Purpose: The purpose of this paper is to propose a web-based tool that enables the development and provision of learning designs and its reuse and re-contextualization as generative learning objects, aimed at developing educational materials. Design/methodology/approach: The use of learning objects can facilitate the process of production and…

Factors that Influence Acceptance of Web-Based E-Learning Systems for the In-Service Education of Junior High School Teachers in Taiwan

ERIC Educational Resources Information Center

Chen, Hong-Ren; Tseng, Hsiao-Fen

2012-01-01

Web-based e-learning is not restricted by time or place and can provide teachers with a learning environment that is flexible and convenient, enabling them to efficiently learn, quickly develop their professional expertise, and advance professionally. Many research reports on web-based e-learning have neglected the role of the teacher's…

Permanent Base Groups in Broadcast Journalism Instruction.

ERIC Educational Resources Information Center

Boldoc, William J.

An instructor increases student performance, participation, and motivation in broadcast journalism and other media courses through the base group cooperative learning model. Base groups are a specific form of cooperative learning which enables students to become actively involved in small-group discussions and learning with a permanent group of…

Enhance Low-Achieving Students' Learning Involvement in Taiwan's Higher Education: An Approach via E-Learning with Problem-Based Learning and Self-Regulated Learning

ERIC Educational Resources Information Center

Lee, Tsang-Hsiung; Shen, Pei-Di; Tsai, Chia-Wen

2010-01-01

This study explored the effects of web-enabled pedagogies on students' involvement in learning. A series of quasi-experiments were conducted to investigate whether students' involvement increases over time if intervened, respectively, by problem-based learning (PBL), self-regulated learning (SRL), and their combinations. Two classes of 102…

The Greek Challenge in Work-Based Learning

ERIC Educational Resources Information Center

Taousanidis, Nikolaos I.; Antoniadou, Myrofora A.

2008-01-01

Work-based learning is generated, controlled and used within a community of practice and brings new understanding to pedagogical principles as the role of worker becomes also that of learner. This paper presents a series of opportunities of this type of learning, which even enables students to work at a distance, using open-learning techniques, as…

A Critical Review of 13 Years of Mobile Game-Based Learning

ERIC Educational Resources Information Center

Giannakas, Filippos; Kambourakis, Georgios; Papasalouros, Andreas; Gritzalis, Stefanos

2018-01-01

With the increasing popularity of smartphones and tablets, game-based learning (GBL) is undergoing a rapid shift to mobile platforms. This transformation is driven by mobility, wireless interfaces, and built-in sensors that these smart devices offer in order to enable blended and context-sensitive mobile learning (m-Learning) activities. Thus,…

A FAQ-Based e-Learning Environment to Support Japanese Language Learning

ERIC Educational Resources Information Center

Liu, Yuqin; Yin, Chengjiu; Ogata, Hiroaki; Qiao, Guojun; Yano, Yoneo

2011-01-01

In traditional classes, having many questions from learners is important because these questions indicate difficult points for learners and for teachers. This paper proposes a FAQ-based e-Learning environment to support Japanese language learning that focuses on learner questions. This knowledge sharing system enables learners to interact and…

Learners' Use of Communication Strategies in Text-Based and Video-Based Synchronous Computer-Mediated Communication Environments: Opportunities for Language Learning

ERIC Educational Resources Information Center

Hung, Yu-Wan; Higgins, Steve

2016-01-01

This study investigates the different learning opportunities enabled by text-based and video-based synchronous computer-mediated communication (SCMC) from an interactionist perspective. Six Chinese-speaking learners of English and six English-speaking learners of Chinese were paired up as tandem (reciprocal) learning dyads. Each dyad participated…

Applying Web-Enabled Problem-Based Learning and Self-Regulated Learning to Enhance Computing Skills of Taiwan's Vocational Students: A Quasi-Experimental Study of a Short-Term Module

ERIC Educational Resources Information Center

Shen, Pei-Di; Lee, Tsang-Hsiung; Tsai, Chia-Wen

2007-01-01

Contrary to conventional expectations, the reality of computing education in Taiwan's vocational schools is not so practically oriented, and thus reveals much room for improvement. In this context, we conducted a quasi-experiment to examine the effects of applying web-based problem-based learning (PBL), web-based self-regulated learning (SRL), and…

Towards an understanding of the attributes of simulation that enable learning in undergraduate nurse education: A grounded theory study.

PubMed

Bland, Andrew J; Tobbell, Jane

2016-09-01

Simulation has become an established feature of nurse education yet little is understood about the mechanisms that lead to learning. To explore the attributes of simulation-based education that enable student learning in undergraduate nurse education. Final year students drawn from one UK University (n=46) participated in a grounded theory study. First, nonparticipant observation and video recording of student activity was undertaken. Following initial analysis, recordings and observations were deconstructed during focus group interviews that enabled both the researcher and participants to unpack meaning. Lastly emergent findings were verified with final year students drawn from a second UK University (n=6). A staged approach to learning emerged from engagement in simulation. This began with initial hesitation as students moved through nonlinear stages to making connections and thinking like a nurse. Core findings suggest that simulation enables curiosity and intellect (main concern) through doing (core category) and interaction with others identified as social collaboration (category). This study offers a theoretical basis for understanding simulation-based education and integration of strategies that maximise the potential for learning. Additionally it offers direction for further research, particularly with regards to how the application of theory to practice is accelerated through learning by doing and working collaboratively. Copyright © 2016 Elsevier Ltd. All rights reserved.

Supporting Pre-Service Teachers' Technology-Enabled Learning Design Thinking through Whole of Programme Transformation

ERIC Educational Resources Information Center

Bower, Matt; Highfield, Kate; Furney, Pam; Mowbray, Lee

2013-01-01

This paper explains a development and evaluation project aimed at transforming two pre-service teacher education programmes at Macquarie University to more effectively cultivate students' technology-enabled learning design thinking. The process of transformation was based upon an explicit and sustained focus on developing university academics'…

Development of a Design-Based Learning Curriculum through Design-Based Research for a Technology-Enabled Science Classroom

ERIC Educational Resources Information Center

Kim, Paul; Suh, Esther; Song, Donggil

2015-01-01

This exploratory study provides a deeper look into the aspects of students' experience from design-based learning (DBL) activities for fifth grade students. Using design-based research (DBR), this study was conducted on a series of science learning activities leveraging mobile phones with relevant applications and sensors. We observed 3 different…

A Web-Based Educational Setting Supporting Individualized Learning, Collaborative Learning and Assessment

ERIC Educational Resources Information Center

Gogoulou, Agoritsa; Gouli, Evangelia; Grigoriadou, Maria; Samarakou, Maria; Chinou, Dionisia

2007-01-01

In this paper, we present a web-based educational setting, referred to as SCALE (Supporting Collaboration and Adaptation in a Learning Environment), which aims to serve learning and assessment. SCALE enables learners to (i) work on individual and collaborative activities proposed by the environment with respect to learners' knowledge level, (ii)…

Designing Collaborative E-Learning Environments Based upon Semantic Wiki: From Design Models to Application Scenarios

ERIC Educational Resources Information Center

Li, Yanyan; Dong, Mingkai; Huang, Ronghuai

2011-01-01

The knowledge society requires life-long learning and flexible learning environment that enables fast, just-in-time and relevant learning, aiding the development of communities of knowledge, linking learners and practitioners with experts. Based upon semantic wiki, a combination of wiki and Semantic Web technology, this paper designs and develops…

Resident Space Object Characterization and Behavior Understanding via Machine Learning and Ontology-based Bayesian Networks

NASA Astrophysics Data System (ADS)

Furfaro, R.; Linares, R.; Gaylor, D.; Jah, M.; Walls, R.

2016-09-01

In this paper, we present an end-to-end approach that employs machine learning techniques and Ontology-based Bayesian Networks (BN) to characterize the behavior of resident space objects. State-of-the-Art machine learning architectures (e.g. Extreme Learning Machines, Convolutional Deep Networks) are trained on physical models to learn the Resident Space Object (RSO) features in the vectorized energy and momentum states and parameters. The mapping from measurements to vectorized energy and momentum states and parameters enables behavior characterization via clustering in the features space and subsequent RSO classification. Additionally, Space Object Behavioral Ontologies (SOBO) are employed to define and capture the domain knowledge-base (KB) and BNs are constructed from the SOBO in a semi-automatic fashion to execute probabilistic reasoning over conclusions drawn from trained classifiers and/or directly from processed data. Such an approach enables integrating machine learning classifiers and probabilistic reasoning to support higher-level decision making for space domain awareness applications. The innovation here is to use these methods (which have enjoyed great success in other domains) in synergy so that it enables a "from data to discovery" paradigm by facilitating the linkage and fusion of large and disparate sources of information via a Big Data Science and Analytics framework.

Commercial Foods and Culinary Arts. Student Learning Guides.

ERIC Educational Resources Information Center

Ridge Vocational-Technical Center, Winter Haven, FL.

These 13 learning guides are self-instructional packets for 13 tasks identified as essential for performance on an entry-level job in commercial foods and culinary arts. Each guide is based on a terminal performance objective (task) and 1-4 enabling objectives. For each enabling objective, some or all of these materials may be presented: learning…

Competences for enhancing interprofessional collaboration in a paediatrics setting: Enabling and hindering factors.

PubMed

Solevåg, Anne Lee; Karlgren, Klas

2016-01-01

In 2011 an interprofessional educational programme called "Pediatric systematic assessment and communication for preventing emergencies" designed to increase clinical staff's competence in treating sick children was introduced in one paediatrics department in Norway. To elicit an in-depth understanding of the perceptions of clinical staff about the programme and enact adjustments according to identified enabling and hindering factors for learning, nurses and paediatricians were invited to participate in focus group interviews. The interviews were analysed by content analysis. Enabling factors for learning included improved interprofessional collaboration and positive feedback on performance. Hindering factors included perceptions that the programme was redundant and the fact that collaborating departments, such as the surgical departments, were not familiar with the programme. Peer learning, more interprofessional learning activities, and the fostering of a learning organization were suggestions for sustained learning. Based on the results of the study we have now included collaborating departments in the programme.

Using Instructional Pervasive Game for School Children's Cultural Learning

ERIC Educational Resources Information Center

Chen, Cheng-Ping; Shih, Ju-Ling; Ma, Yi-Chun

2014-01-01

In the past ten years, mobile learning (m-learning) has created a new learning environment that enables learners, through active learning aids. Instructional pervasive gaming (IPG) seems to be an innovative way introduced to enhance m-learning. This study employed a theoretical IPG model to construct a cultural-based pervasive game. Individual and…

Integrating XQuery-Enabled SCORM XML Metadata Repositories into an RDF-Based E-Learning P2P Network

ERIC Educational Resources Information Center

Qu, Changtao; Nejdl, Wolfgang

2004-01-01

Edutella is an RDF-based E-Learning P2P network that is aimed to accommodate heterogeneous learning resource metadata repositories in a P2P manner and further facilitate the exchange of metadata between these repositories based on RDF. Whereas Edutella provides RDF metadata repositories with a quite natural integration approach, XML metadata…

Social E-Learning in Topolor: A Case Study

ERIC Educational Resources Information Center

Shi, Lei; Al Qudah, Dana; Cristea, Alexandra I.

2013-01-01

Social e-learning is a process through which learners achieve their learning goals via social interactions with each other by sharing knowledge, skills, abilities and educational materials. Adaptive e-learning enables adaptation and personalization of the learning process, based on learner needs, knowledge, preferences and other characteristics.…

Undergraduate College Students, Laptop Computers, and Lifelong Learning

ERIC Educational Resources Information Center

Tan, Chong Leng; Morris, John S.

2006-01-01

Many universities and colleges list the development of lifelong learning skills as a curriculum objective and have adopted laptop programs that may enable lifelong learning. The purpose of this research is to address the effectiveness of a technology-based and computer-mediated learning environment in achieving lifelong learning skills from the…

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.

[Verification of Learning Effects by Team-based Learning].

PubMed

Ono, Shin-Ichi; Ito, Yoshihisa; Ishige, Kumiko; Inokuchi, Norio; Kosuge, Yasuhiro; Asami, Satoru; Izumisawa, Megumi; Kobayashi, Hiroko; Hayashi, Hiroyuki; Suzuki, Takashi; Kishikawa, Yukinaga; Hata, Harumi; Kose, Eiji; Tabata, Kei-Ichi

2017-11-01

 It has been recommended that active learning methods, such as team-based learning (TBL) and problem-based learning (PBL), be introduced into university classes by the Central Council for Education. As such, for the past 3 years, we have implemented TBL in a medical therapeutics course for 4-year students. Based upon our experience, TBL is characterized as follows: TBL needs fewer teachers than PBL to conduct a TBL module. TBL enables both students and teachers to recognize and confirm the learning results from preparation and reviewing. TBL grows students' responsibility for themselves and their teams, and likely facilitates learning activities through peer assessment.

Case-Based Reasoning in Mixed Paradigm Settings and with Learning

DTIC Science & Technology

1994-04-30

Learning Prototypical Cases OFF-BROADWAY, MCI and RMHC -* are three CBR-ML systems that learn case prototypes. We feel that methods that enable the...at Irvine Machine Learning Repository, including heart disease and breast cancer databases. OFF-BROADWAY, MCI and RMHC -* made the following notable

An Expert System-based Context-Aware Ubiquitous Learning Approach for Conducting Science Learning Activities

ERIC Educational Resources Information Center

Wu, Po-Han; Hwang, Gwo-Jen; Tsai, Wen-Hung

2013-01-01

Context-aware ubiquitous learning has been recognized as being a promising approach that enables students to interact with real-world learning targets with supports from the digital world. Several researchers have indicated the importance of providing learning guidance or hints to individual students during the context-aware ubiquitous learning…

A Method of Cross-Level Frequent Pattern Mining for Web-Based Instruction

ERIC Educational Resources Information Center

Huang, Yueh-Min; Chen, Juei-Nan; Cheng, Shu-Chen

2007-01-01

Due to the rise of e-Learning, more and more useful learning materials are open to public access. Therefore, an appropriate learning suggestion mechanism is an important tool to enable learners to work more efficiently. A smoother learning process increases the learning effect, avoiding unnecessarily difficult concepts and disorientation during…

A Simultaneous Mobile E-Learning Environment and Application

ERIC Educational Resources Information Center

Karal, Hasan; Bahcekapili, Ekrem; Yildiz, Adil

2010-01-01

The purpose of the present study was to design a mobile learning environment that enables the use of a teleconference application used in simultaneous e-learning with mobile devices and to evaluate this mobile learning environment based on students' views. With the mobile learning environment developed in the study, the students are able to follow…

Constructive and problem-based learning using blended learning anchored instruction approaches

NASA Astrophysics Data System (ADS)

Mayer, M.

2012-04-01

Based on an anchored instruction approach, an enriched blended learning lecture course ("Introduction into GNSS positioning") was established in order to enable constructive and problem-based learning. The lecture course "Introduction into GNSS positioning" is a compulsory part of the Bachelor study course "Geodesy and Geoinformatics" and also a supplementary module of the Bachelor study course "Geophysics". Within the lecture course, basic knowledge and basic principles of Global Navigation Satellite Systems, like GPS, are imparted. The presented higher education technique "anchored instruction" uses a real and up-to-date and therefore authentic scientific paper dealing with a recent large-scale geodetic project (Fehmarn Belt Fixed Link) in order to introduce the topic of GNSS-based positioning to the students. In the beginning of the semester, the students have to read the paper individually and carefully. This enables them to realize a lot of not-known GNSS-related facts. Therefore, questions can be formulated focusing on new, unclear or not-understood aspects of the paper. The lecture course deals with these questions, in order to answer them throughout the semester. During the lecture course this paper is referred, e.g., in the middle of the semester, the paper has to be read again in order to check which questions have been answered; in addition, new question arise. At the end of the lecture course, the author of the scientific paper gave a concluding lecture. The framing anchor technique enables the students to anchor their GNSS knowledge. The presented case study uses a teaching resp. learning setting consisting of classroom lectures (given by teachers and learners), practical trainings (e.g., field exercises, students select topics individually), and online lectures (learning management system ILIAS is used as data, result, and asynchronous communication platform). The implementation and the elements of the anchoring technique, which enables student-centered, cooperative, and individual learning, are going to be discussed in detail. A special focus of the presentation is on work assignments, time schedule, and work load. The anchor technique is applied within a blended learning teaching concept, therefore the role of the learning management system ILIAS will be treated as well.

Introducing a technology-enabled problem-based learning approach into a health informatics curriculum.

PubMed

Green, Carolyn J; van Gyn, Geraldine H; Moehr, Jochen R; Lau, Francis Y; Coward, Patricia M

2004-03-18

To investigate the effect on learner satisfaction of introducing a technology-enabled problem-based learning (PBL) approach into a health informatics curriculum. Course redesign was undertaken to prepare students for three 4-month work terms and a rapidly changing professional environment upon graduation. Twenty-six Canadian undergraduate students of a redesigned course in biomedical fundamentals completed a midterm questionnaire in 2002. Eight of these students participated in a focus group. Students agreed that seven of nine functions provided by the web-based online course management system enhanced their learning: private email (92.3%), calendaring (88.5%), course notes (88.5%), discussion forums (84.5%), online grades (84.5%) assignment descriptions (80.8%) and online quizzes (80.8%). Although students agreed that two PBL activities enhanced learning (learning to present information) (84.5%) and learning to identify information needed (73.1%), the majority of students (69.2%) expressed a preference for the traditional lecture approach over the PBL approach. Students reported feeling uncertain of what was required of them and related anxiety accounted for most of the negative feedback. These findings give us clear goals for improvement in the course beginning with a comprehensive, carefully guided introduction to the processes of PBL. The positive trends are encouraging for the use of web-enabled courseware and for the further development of the PBL approach.

The Social Foundation of Team-Based Learning: Students Accountable to Students

ERIC Educational Resources Information Center

Sweet, Michael; Pelton-Sweet, Laura M.

2008-01-01

As one form of small group learning, team-based learning's (TBL's) unique sequence of individual and group work with immediate feedback enables and encourages students to engage course content and each other in remarkable ways. Specifically, TBL creates an environment where students can fulfill their human need to belong in the process of…

Remote Learning for the Manipulation and Control of Robotic Cells

ERIC Educational Resources Information Center

Goldstain, Ofir; Ben-Gal, Irad; Bukchin, Yossi

2007-01-01

This work proposes an approach to remote learning of robotic cells based on internet and simulation tools. The proposed approach, which integrates remote-learning and tele-operation into a generic scheme, is designed to enable students and developers to set-up and manipulate a robotic cell remotely. Its implementation is based on a dedicated…

Pre-Service Teacher Perceptions of Using Problem Based Learning in Science Investigations

ERIC Educational Resources Information Center

Pepper, Coral

2013-01-01

Introducing Problem Based Learning (PBL) to a cohort of science education pre-service teachers enabled them to engage in a widely used learning and teaching strategy helpful to align university courses with the professional work they are expected to undertake on graduation. Almost fifty pre-service teachers participated in the study, focussed on…

Cooperative Education Guidelines for Administration: How to Comply with Federal and State Laws and Regulations

ERIC Educational Resources Information Center

Pennsylvania Department of Education, 2007

2007-01-01

Cooperative education is a method of instruction that enables students to combine academic classroom instruction (school-based learning component) with occupational instruction through learning on the job (work-based learning component) in a career area of choice. Emphasis is placed on the students' education and employability skills. Co-op is a…

The MORPG-Based Learning System for Multiple Courses: A Case Study on Computer Science Curriculum

ERIC Educational Resources Information Center

Liu, Kuo-Yu

2015-01-01

This study aimed at developing a Multiplayer Online Role Playing Game-based (MORPG) Learning system which enabled instructors to construct a game scenario and manage sharable and reusable learning content for multiple courses. It used the curriculum of "Introduction to Computer Science" as a study case to assess students' learning…

Effects of Integrating an Active Learning-Promoting Mechanism into Location-Based Real-World Learning Environments on Students' Learning Performances and Behaviors

ERIC Educational Resources Information Center

Hwang, Gwo-Jen; Chang, Shao-Chen; Chen, Pei-Ying; Chen, Xiang-Ya

2018-01-01

Engaging students in real-world learning contexts has been identified by educators as being an important way of helping them learn to apply what they have learned from textbooks to practical problems. The advancements in mobile and image-processing technologies have enabled students to access learning resources and receive learning guidance in…

Learning Strategy Training in English Teaching

ERIC Educational Resources Information Center

Arulselvi, M. Evangelin

2016-01-01

The fundamental task of schools is to endow students with strategies, which enable them to elaborate, transform, contrast and critically rebuild knowledge, that develops strategic knowledge. Learning strategy is the specific action to make the students better in learning a second language. Learning Strategy Training is based on problems the…

Engaging Professional Learning in Online Environments

ERIC Educational Resources Information Center

Bell, Amani; Morris, Gayle

2009-01-01

Much of what is regarded as effective professional learning is that which is situated, incorporates a social dimension and enables practitioners to converge in and around authentic practice. This article describes an inter-university online learning resource for tutors which is underpinned by a practice based approach to professional learning. The…

Effects of DDL Technology on Genre Learning

ERIC Educational Resources Information Center

Cotos, Elena; Link, Stephanie; Huffman, Sarah

2017-01-01

To better understand the promising effects of data-driven learning (DDL) on language learning processes and outcomes, this study explored DDL learning events enabled by the Research Writing Tutor (RWT), a web-based platform containing an English language corpus annotated to enhance rhetorical input, a concordancer that was searchable for…

Experience, trajectories, and reifications: an emerging framework of practice-based learning in healthcare workplaces.

PubMed

Teunissen, Pim W

2015-10-01

Learning by working is omnipresent in healthcare education. It enables people to learn how to perform, think, and interact in ways that work for their specific context. In this paper, I review my approach to studying this process. It centers on the question why healthcare professionals do what they do and how their actions and learning are intertwined. The aim of this paper is to illustrate what I have learned from the research I have been involved in, in such a way that it enables other researchers, educators, and clinicians to understand and study practice-based learning in healthcare workplaces. Therefore, I build on a programmatic line of research to present a framework of practice-based learning consisting of three inextricably linked levels of analysis. The first level focuses on how situations lead to personal experiences, the second level looks at strings of experiences that lead to multiple trajectories, and the third level deals with reifications arising from recurrent activities. This framework, and its interrelations and inherent tensions, helps to understand why healthcare workplaces can be both a powerful learning environment and a frustratingly hard place to change.

Influence of an Integrated Learning Diagnosis and Formative Assessment-Based Personalized Web Learning Approach on Students' Learning Performances and Perceptions

ERIC Educational Resources Information Center

Wongwatkit, Charoenchai; Srisawasdi, Niwat; Hwang, Gwo-Jen; Panjaburee, Patcharin

2017-01-01

The advancement of computer and communication technologies has enabled students to learn across various real-world contexts with supports from the learning system. In the meantime, researchers have emphasized the necessity of providing personalized learning guidance or support by considering individual students' status and needs in order to…

Concept Based Approach for Adaptive Personalized Course Learning System

ERIC Educational Resources Information Center

Salahli, Mehmet Ali; Özdemir, Muzaffer; Yasar, Cumali

2013-01-01

One of the most important factors for improving the personalization aspects of learning systems is to enable adaptive properties to them. The aim of the adaptive personalized learning system is to offer the most appropriate learning path and learning materials to learners by taking into account their profiles. In this paper, a new approach to…

E-Learning and Evidence Based Practice in Schools

ERIC Educational Resources Information Center

Quong, Terrence

2016-01-01

JCTIC has used open source software to develop a unique school online environment that has made evidence based practice viable in their school. In this paper the proposition is made that eLearning enables evidence based practice which in turn leads to improved student outcomes. Much has been written about evidence based practice in schools, but…

Integration of problem-based learning and innovative technology into a self-care course.

PubMed

McFalls, Marsha

2013-08-12

To assess the integration of problem-based learning and technology into a self-care course. Problem-based learning (PBL) activities were developed and implemented in place of lectures in a self-care course. Students used technology, such as computer-generated virtual patients and iPads, during the PBL sessions. Students' scores on post-case quizzes were higher than on pre-case quizzes used to assess baseline knowledge. Student satisfaction with problem-based learning and the use of technology in the course remained consistent throughout the semester. Integrating problem-based learning and technology into a self-care course enabled students to become active learners.

A Web-Based Learning Support System for Inquiry-Based Learning

NASA Astrophysics Data System (ADS)

Kim, Dong Won; Yao, Jingtao

The emergence of the Internet and Web technology makes it possible to implement the ideals of inquiry-based learning, in which students seek truth, information, or knowledge by questioning. Web-based learning support systems can provide a good framework for inquiry-based learning. This article presents a study on a Web-based learning support system called Online Treasure Hunt. The Web-based learning support system mainly consists of a teaching support subsystem, a learning support subsystem, and a treasure hunt game. The teaching support subsystem allows instructors to design their own inquiry-based learning environments. The learning support subsystem supports students' inquiry activities. The treasure hunt game enables students to investigate new knowledge, develop ideas, and review their findings. Online Treasure Hunt complies with a treasure hunt model. The treasure hunt model formalizes a general treasure hunt game to contain the learning strategies of inquiry-based learning. This Web-based learning support system empowered with the online-learning game and founded on the sound learning strategies furnishes students with the interactive and collaborative student-centered learning environment.

Facilitating Systemic Research and Learning and the Transition to Agricultural Sustainability

ERIC Educational Resources Information Center

Eksvard, Karin

2010-01-01

This article focuses on how a facilitated process of triple loop learning can enable transition toward more sustainable forms of farming. The article is a case-based study of Participatory Learning and Action Research with organic tomato growers in Malardalen, Sweden. The importance of negotiating learning and action, capacity building, and…

Impacts and Characteristics of Computer-Based Science Inquiry Learning Environments for Precollege Students

ERIC Educational Resources Information Center

Donnelly, Dermot F.; Linn, Marcia C.; Ludvigsen, Sten

2014-01-01

The National Science Foundation-sponsored report "Fostering Learning in the Networked World" called for "a common, open platform to support communities of developers and learners in ways that enable both to take advantage of advances in the learning sciences." We review research on science inquiry learning environments (ILEs)…

Efficient Evaluation System for Learning Management Systems

ERIC Educational Resources Information Center

Cavus, Nadire

2009-01-01

A learning management system (LMS) provides the platform for web-based learning environment by enabling the management, delivery, tracking of learning, testing, communication, registration process and scheduling. There are many LMS systems on the market that can be obtained for free or through payment. It has now become an important task to choose…

Am I Extravert or Introvert? Considering the Personality Effect toward e-Learning System

ERIC Educational Resources Information Center

Al-Dujaily, Amal; Kim, Jieun; Ryu, Hokyoung

2013-01-01

A concern of computer-based learning system design is how to accommodate learners' individual differences during learning activities. Previous research suggests that adaptive e-learning systems can effectively address such individual differences and, consequently, they enable more directed tutoring via computer-assisted instruction. In this paper,…

Enabling Team Learning in Healthcare

ERIC Educational Resources Information Center

Boak, George

2016-01-01

This paper is based on a study of learning processes within 35 healthcare therapy teams that took action to improve their services. The published research on team learning is introduced, and the paper suggests it is an activity that has similarities with action research and with those forms of action learning where teams address collective…

Learning Genetics through an Authentic Research Simulation in Bioinformatics

ERIC Educational Resources Information Center

Gelbart, Hadas; Yarden, Anat

2006-01-01

Following the rationale that learning is an active process of knowledge construction as well as enculturation into a community of experts, we developed a novel web-based learning environment in bioinformatics for high-school biology majors in Israel. The learning environment enables the learners to actively participate in a guided inquiry process…

Dialogue and Structure: Enabling Learner Self-Regulation in Technology-Enhanced Learning Environments

ERIC Educational Resources Information Center

Andrade, Maureen Snow

2014-01-01

Distance learning that incorporates technology-enhanced learning environments provides a solution to the ever-increasing global demand for higher education. To be successful in these contexts, learners must be self-regulated, or have the ability to control the factors affecting their learning. Based on the theories of transactional distance,…

The Web Resource Collaboration Center

ERIC Educational Resources Information Center

Dunlap, Joanna C.

2004-01-01

The Web Resource Collaboration Center (WRCC) is a web-based tool developed to help software engineers build their own web-based learning and performance support systems. Designed using various online communication and collaboration technologies, the WRCC enables people to: (1) build a learning and professional development resource that provides…

Transformative Learning: Patterns of Psychophysiologic Response and Technology-Enabled Learning and Intervention Systems

DTIC Science & Technology

2008-09-01

Psychophysiologic Response and Technology -Enabled Learning and Intervention Systems PRINCIPAL INVESTIGATOR: Leigh W. Jerome, Ph.D...NUMBER Transformative Learning : Patterns of Psychophysiologic Response and Technology - Enabled Learning and Intervention Systems 5b. GRANT NUMBER...project entitled “Transformative Learning : Patterns of Psychophysiologic Response in Technology Enabled Learning and Intervention Systems.” The

A Rule-Based System for Hybrid Search and Delivery of Learning Objects to Learners

ERIC Educational Resources Information Center

Biletskiy, Yevgen; Baghi, Hamidreza; Steele, Jarrett; Vovk, Ruslan

2012-01-01

Purpose: Presently, searching the internet for learning material relevant to ones own interest continues to be a time-consuming task. Systems that can suggest learning material (learning objects) to a learner would reduce time spent searching for material, and enable the learner to spend more time for actual learning. The purpose of this paper is…

Development and Evaluation of a Web 2.0-Based Ubiquitous Learning Platform for Schoolyard Plant Identification

ERIC Educational Resources Information Center

Hwang, Gwo-Haur; Chu, Hui-Chun; Chen, Beyin; Cheng, Zheng Shan

2014-01-01

The rapid progress of wireless communication, sensing, and mobile technologies has enabled students to learn in an environment that combines learning resources from both the real world and the digital world. It can be viewed as a new learning style which has been called context-aware ubiquitous learning. Most context-aware ubiquitous learning…

A Mobile Game-Based English Vocabulary Practice System Based on Portfolio Analysis

ERIC Educational Resources Information Center

Wu, Ting-Ting; Huang, Yueh-Min

2017-01-01

English learning has become a vital educational strategy in many non-English-speaking countries. Vocabulary is a critical element for language learners. Therefore, developing sufficient vocabulary knowledge enables effective communication. However, learning a foreign language is difficult and stressful. In addition, memorizing English vocabulary…

Implementation of a Project-Based Telecommunications Engineering Design Course

ERIC Educational Resources Information Center

Aliakbarian, Hadi; Soh, Ping Jack; Farsi, Saeed; Xu, Hantao; Van Lil, Emmanuel H. E. M. J. C.; Nauwelaers, Bart K. J. C.; Vandenbosch, Guy A. E.; Schreurs, Dominique M. M.-P.

2014-01-01

This paper describes and discusses the implementation of a project-based graduate design course in telecommunications engineering. This course, which requires a combination of technical and soft skills for its completion, enables guided independent learning (GIL) and application of technical knowledge acquired from classroom learning. Its main…

Using Cognitive Load Theory to Tailor Instruction to Levels of Accounting Students' Expertise

ERIC Educational Resources Information Center

Blayney, Paul; Kalyuga, Slava; Sweller, John

2015-01-01

Tailoring of instructional methods to learner levels of expertise may reduce extraneous cognitive load and improve learning. Contemporary technology-based learning environments have the potential to substantially enable learner-adapted instruction. This paper investigates the effects of adaptive instruction based on using the isolated-interactive…

Enhancing Students' Problem-Solving Skills through Context-Based Learning

ERIC Educational Resources Information Center

Yu, Kuang-Chao; Fan, Szu-Chun; Lin, Kuen-Yi

2015-01-01

Problem solving is often challenging for students because they do not understand the problem-solving process (PSP). This study presents a three-stage, context-based, problem-solving, learning activity that involves watching detective films, constructing a context-simulation activity, and introducing a project design to enable students to construct…

An Integrated, Problem-Based Learning Material: The "Satellite" Module

ERIC Educational Resources Information Center

Selcuk, Gamze Sezgin; Emiroglu, Handan Byacioglu; Tarakci, Mehmet; Ozel, Mustafa

2011-01-01

The purpose of this study is to introduce a problem-based learning material, the Satellite Module, that has integrated some of the subjects included in the disciplines of physics and mathematics at an introductory level in undergraduate education. The reason why this modular and problem-based material has been developed is to enable students to…

Collaborative Inquiry with a Web-Based Science Learning Environment: When Teachers Enact It Differently

ERIC Educational Resources Information Center

Sun, Daner; Looi, Chee-Kit; Xie, Wenting

2014-01-01

Though discussion of the teacher factor in ICT-enabled science learning abounds in the literature, the investigation of Teacher Enactments (TEs) of ICT-facilitated lessons through exploring teaching practices is still under-explored and under-recognized. Current studies are still lacking in evidence-based findings of TEs based on the investigation…

Taking Aim at the Cognitive Side of Learning in Sensorimotor Adaptation Tasks.

PubMed

McDougle, Samuel D; Ivry, Richard B; Taylor, Jordan A

2016-07-01

Sensorimotor adaptation tasks have been used to characterize processes responsible for calibrating the mapping between desired outcomes and motor commands. Research has focused on how this form of error-based learning takes place in an implicit and automatic manner. However, recent work has revealed the operation of multiple learning processes, even in this simple form of learning. This review focuses on the contribution of cognitive strategies and heuristics to sensorimotor learning, and how these processes enable humans to rapidly explore and evaluate novel solutions to enable flexible, goal-oriented behavior. This new work points to limitations in current computational models, and how these must be updated to describe the conjoint impact of multiple processes in sensorimotor learning. Copyright © 2016 Elsevier Ltd. All rights reserved.

Integration of Problem-based Learning and Innovative Technology Into a Self-Care Course

PubMed Central

2013-01-01

Objective. To assess the integration of problem-based learning and technology into a self-care course. Design. Problem-based learning (PBL) activities were developed and implemented in place of lectures in a self-care course. Students used technology, such as computer-generated virtual patients and iPads, during the PBL sessions. Assessments. Students’ scores on post-case quizzes were higher than on pre-case quizzes used to assess baseline knowledge. Student satisfaction with problem-based learning and the use of technology in the course remained consistent throughout the semester. Conclusion. Integrating problem-based learning and technology into a self-care course enabled students to become active learners. PMID:23966730

Maintenance and Exchange of Learning Objects in a Web Services Based e-Learning System

ERIC Educational Resources Information Center

Vossen, Gottfried; Westerkamp, Peter

2004-01-01

"Web services" enable partners to exploit applications via the Internet. Individual services can be composed to build new and more complex ones with additional and more comprehensive functionality. In this paper, we apply the Web service paradigm to electronic learning, and show how to exchange and maintain learning objects is a…

Pedagogies of engagement in science: A comparison of PBL, POGIL, and PLTL*

PubMed Central

Eberlein, Thomas; Kampmeier, Jack; Minderhout, Vicky; Moog, Richard S; Platt, Terry; Varma-Nelson, Pratibha; White, Harold B

2008-01-01

Problem-based learning, process-oriented guided inquiry learning, and peer-led team learning are student-centered, active-learning pedagogies commonly used in science education. The characteristic features of each are compared and contrasted to enable new practitioners to decide which approach or combination of approaches will suit their particular situation. PMID:19381266

Enabling Problem Based Learning through Web 2.0 Technologies: PBL 2.0

ERIC Educational Resources Information Center

Tambouris, Efthimios; Panopoulou, Eleni; Tarabanis, Konstantinos; Ryberg, Thomas; Buus, Lillian; Peristeras, Vassilios; Lee, Deirdre; Porwol, Lukasz

2012-01-01

Advances in Information and Communications Technology (ICT), particularly the so-called Web 2.0, are affecting all aspects of our life: How we communicate, how we shop, how we socialise, how we learn. Facilitating learning through the use of ICT, also known as eLearning, is a vital part of modern educational systems. Established pedagogical…

Impact of feature saliency on visual category learning.

PubMed

Hammer, Rubi

2015-01-01

People have to sort numerous objects into a large number of meaningful categories while operating in varying contexts. This requires identifying the visual features that best predict the 'essence' of objects (e.g., edibility), rather than categorizing objects based on the most salient features in a given context. To gain this capacity, visual category learning (VCL) relies on multiple cognitive processes. These may include unsupervised statistical learning, that requires observing multiple objects for learning the statistics of their features. Other learning processes enable incorporating different sources of supervisory information, alongside the visual features of the categorized objects, from which the categorical relations between few objects can be deduced. These deductions enable inferring that objects from the same category may differ from one another in some high-saliency feature dimensions, whereas lower-saliency feature dimensions can best differentiate objects from distinct categories. Here I illustrate how feature saliency affects VCL, by also discussing kinds of supervisory information enabling reflective categorization. Arguably, principles debated here are often being ignored in categorization studies.

Impact of feature saliency on visual category learning

PubMed Central

Hammer, Rubi

2015-01-01

People have to sort numerous objects into a large number of meaningful categories while operating in varying contexts. This requires identifying the visual features that best predict the ‘essence’ of objects (e.g., edibility), rather than categorizing objects based on the most salient features in a given context. To gain this capacity, visual category learning (VCL) relies on multiple cognitive processes. These may include unsupervised statistical learning, that requires observing multiple objects for learning the statistics of their features. Other learning processes enable incorporating different sources of supervisory information, alongside the visual features of the categorized objects, from which the categorical relations between few objects can be deduced. These deductions enable inferring that objects from the same category may differ from one another in some high-saliency feature dimensions, whereas lower-saliency feature dimensions can best differentiate objects from distinct categories. Here I illustrate how feature saliency affects VCL, by also discussing kinds of supervisory information enabling reflective categorization. Arguably, principles debated here are often being ignored in categorization studies. PMID:25954220

Science with Reason.

ERIC Educational Resources Information Center

Atkinson, Sue, Ed.; Fleer, Marilyn, Ed.

This book is based on the premise that learning in young children takes place through participation in purposeful activity and the learning process includes building on what children already know and enabling children to take responsibility for their own learning. It focuses not just on recent pedagogical developments in science, but shows,…

Adaptive Social Learning Based on Crowdsourcing

ERIC Educational Resources Information Center

Karataev, Evgeny; Zadorozhny, Vladimir

2017-01-01

Many techniques have been developed to enhance learning experience with computer technology. A particularly great influence of technology on learning came with the emergence of the web and adaptive educational hypermedia systems. While the web enables users to interact and collaborate with each other to create, organize, and share knowledge via…

Learning Networks--Enabling Change through Community Action Research

ERIC Educational Resources Information Center

Bleach, Josephine

2016-01-01

Learning networks are a critical element of ethos of the community action research approach taken by the Early Learning Initiative at the National College of Ireland, a community-based educational initiative in the Dublin Docklands. Key criteria for networking, whether at local, national or international level, are the individual's and…

The influence of workplace culture on nurses' learning experiences: a systematic review of qualitative evidence.

PubMed

Davis, Kate; White, Sarahlouise; Stephenson, Matthew

2016-06-01

A healthy workplace culture enables nurses to experience valuable learning in the workplace. Learning in the workplace enables the provision of evidence-based and continuously improving safe patient care, which is central to achieving good patient outcomes. Therefore, nurses need to learn within a workplace that supports the implementation of evidence-based, professional practice and enables the best patient outcomes; the influence of workplace culture may play a role in this. The purpose of this review was to critically appraise and synthesize the best available qualitative evidence to understand both the nurses' learning experiences within the workplace and the factors within the workplace culture that influence those learning experiences. Registered and enrolled nurses regulated by a nursing and midwifery board and/or recognized health practitioner regulation agency (or their international equivalent). This review considered studies that described two phenomena of interest: the nurses' learning experience, either within an acute healthcare workplace or a workplace-related learning environment and the influence of workplace culture on the nurses' learning experience (within the workplace or workplace-related learning environment). This review considered studies that included nurses working in an acute healthcare organization within a Western culture. This review considered studies that focused on qualitative evidence and included the following research designs: phenomenological, grounded theory and critical theory. Published and unpublished studies in English from 1980 to 2013 were identified using a three-step search strategy, searching various databases, and included hand searching of the reference lists within articles selected for appraisal. For studies meeting the inclusion criteria, methodological quality was assessed using a standardized checklist from the Joanna Briggs Institute Qualitative Assessment and Review Instrument (JBI-QARI). Qualitative data were extracted from articles included in the review using the standardized data extraction tool from the JBI-QARI. Qualitative research findings were pooled using the Joanna Briggs Institute Qualitative Appraisal and Review Instrument (JBI-QARI). This involved the aggregation and synthesis of findings to generate a set of categories, which were then subjected to a meta-synthesis to produce a single comprehensive set of synthesized findings that could be used as a basis for evidence-based practice. Fourteen articles were identified following appraisal and a total of 105 findings (85 unequivocal and 20 credible) were extracted from included studies and grouped into eight categories based on similarity of meaning. Subsequently, categories were grouped into two synthesized findings. The two synthesized findings were as follows: ORGANIZATIONAL INFLUENCES: Enabling nurses to demonstrate accountability for their own learning, along with clear organizational systems that provide resources, time, adequate staffing and support, demonstrates encouragement for and the value of nurses' learning and education. Nurses value their peers, expert nurses, preceptors, mentors and educators facilitating and encouraging their learning and professional development. An optimal workplace culture is central for nurses to experience valuable and relevant learning in the workplace. To emphasize the importance of nurses' learning in the workplace, working and learning is understood as an integrated experience. Consequently, a dual system that enables nurses to demonstrate accountability for their own learning, along with clear organizational and educational systems, is required to demonstrate the value in nurses' learning and education.

Becoming a Narrator: A Case Study in the Dynamics of Learning Based on the Theories/Methods of Vygotsky

ERIC Educational Resources Information Center

Jansson, Anders B.

2011-01-01

This article focuses on the learning that is enabled while a primary school child makes a story using multimodal software. This child is diagnosed with autism. The aim is to use a cultural-historical framework to carry out an in-depth analysis of a process of learning with action as a unit of analysis. The article is based on a collaborative…

Case Study: Use of Problem-Based Learning to Develop Students' Technical and Professional Skills

ERIC Educational Resources Information Center

Warnock, James N.; Mohammadi-Aragh, M. Jean

2016-01-01

Problem-based learning (PBL) is a pedagogy that has attracted attention for many biomedical engineering curricula. The aim of the current study was to address the research question, "Does PBL enable students to develop desirable professional engineering skills?" The desirable skills identified were communication, teamwork, problem…

Authentic Project-Based Design of Professional Development for Teachers Studying Online and Blended Teaching

ERIC Educational Resources Information Center

Dabner, Nicki; Davis, Niki; Zaka, Pinelopi

2012-01-01

Online learning and teaching is rapidly increasing in many countries, including high schools in the USA and teacher education worldwide. Online and blended approaches to professional and organizational development are, therefore, becoming essential to enable effective and equitable education. Authentic project-based learning to support the…

Campus-Based Student Experiences of Learning Technologies in a First-Year Science Course

ERIC Educational Resources Information Center

Ellis, Robert; Weyers, Mark; Hughes, Jane

2013-01-01

This study reports on an investigation into the campus-based experience of university students studying mammalian physiology that was significantly supported with learning technologies. The design of the course enabled the students to interrogate the key ideas that they came across in their lectures and laboratories through online activities which…

Brain-Based Learning and Educational Neuroscience: Boundary Work

ERIC Educational Resources Information Center

Edelenbosch, Rosanne; Kupper, Frank; Krabbendam, Lydia; Broerse, Jacqueline E. W.

2015-01-01

Much attention has been given to "bridging the gap" between neuroscience and educational practice. In order to gain better understanding of the nature of this gap and of possibilities to enable the linking process, we have taken a boundary perspective on these two fields and the brain-based learning approach, focusing on…

A Model for Designing Instructional Narratives for Adult Learners: Connecting the Dots

ERIC Educational Resources Information Center

Smith, Debra M.

2013-01-01

The purpose of this study was to develop a research-based model for designing and deploying instructional narratives based on principles derived from narrative theory, development theory, communication theory, learning theory and instructional design theory to enable adult learning and retention and the effective transfer of that retained learning…

Team-Based Learning in US Colleges and Schools of Pharmacy

PubMed Central

Copeland, Jeffrey; Franks, Andrea S.; Karimi, Reza; McCollum, Marianne; Riese, David J.; Lin, Anne Y.F.

2013-01-01

Objective. To characterize the use of team-based learning (TBL) in US colleges and schools of pharmacy, including factors that may affect implementation and perceptions of faculty members regarding the impact of TBL on educational outcomes. Methods. Respondents identified factors that inhibit or enable TBL use and its impact on student learning. Results were stratified by type of institution (public/private), class size, and TBL experience. Results. Sixty-nine of 100 faculty members (69%) representing 43 (86%) institutions responded. Major factors considered to enable TBL implementation included a single campus and student and administration buy-in. Inhibiting factors included distant campuses, faculty resistance, and lack of training. Compared with traditional lectures, TBL is perceived to enhance student engagement, improve students’ preparation for class, and promote achievement of course outcomes. In addition, TBL is perceived to be more effective than lectures at fostering learning in all 6 domains of Bloom’s Taxonomy. Conclusions. Despite potential implementation challenges, faculty members perceive that TBL improves student engagement and learning. PMID:23966718

Enabling Microblogging-Based Peer Feedback in Face-to-Face Classrooms

ERIC Educational Resources Information Center

Luo, Tian

2016-01-01

The purpose of this paper is to understand student interaction and learning in microblogging-based peer feedback sessions. The researcher examined through a case study how students interacted and provided peer feedback for each other when Twitter was enabled as a backchannel; students were also asked to report how they perceived their experience.…

Bioinformatics projects supporting life-sciences learning in high schools.

PubMed

Marques, Isabel; Almeida, Paulo; Alves, Renato; Dias, Maria João; Godinho, Ana; Pereira-Leal, José B

2014-01-01

The interdisciplinary nature of bioinformatics makes it an ideal framework to develop activities enabling enquiry-based learning. We describe here the development and implementation of a pilot project to use bioinformatics-based research activities in high schools, called "Bioinformatics@school." It includes web-based research projects that students can pursue alone or under teacher supervision and a teacher training program. The project is organized so as to enable discussion of key results between students and teachers. After successful trials in two high schools, as measured by questionnaires, interviews, and assessment of knowledge acquisition, the project is expanding by the action of the teachers involved, who are helping us develop more content and are recruiting more teachers and schools.

Federated querying architecture with clinical & translational health IT application.

PubMed

Livne, Oren E; Schultz, N Dustin; Narus, Scott P

2011-10-01

We present a software architecture that federates data from multiple heterogeneous health informatics data sources owned by multiple organizations. The architecture builds upon state-of-the-art open-source Java and XML frameworks in innovative ways. It consists of (a) federated query engine, which manages federated queries and result set aggregation via a patient identification service; and (b) data source facades, which translate the physical data models into a common model on-the-fly and handle large result set streaming. System modules are connected via reusable Apache Camel integration routes and deployed to an OSGi enterprise service bus. We present an application of our architecture that allows users to construct queries via the i2b2 web front-end, and federates patient data from the University of Utah Enterprise Data Warehouse and the Utah Population database. Our system can be easily adopted, extended and integrated with existing SOA Healthcare and HL7 frameworks such as i2b2 and caGrid.

Speech-Enabled Tools for Augmented Interaction in E-Learning Applications

ERIC Educational Resources Information Center

Selouani, Sid-Ahmed A.; Lê, Tang-Hô; Benahmed, Yacine; O'Shaughnessy, Douglas

2008-01-01

This article presents systems that use speech technology, to emulate the one-on-one interaction a student can get from a virtual instructor. A web-based learning tool, the Learn IN Context (LINC+) system, designed and used in a real mixed-mode learning context for a computer (C++ language) programming course taught at the Université de Moncton…

Mobile Devices and Spatial Enactments of Learning: iPads in Lower Secondary Schools

ERIC Educational Resources Information Center

Meyer, Bente

2016-01-01

Based on ethnographic studies of students' learning, this paper investigates how new spatial enactments of learning that include mobile technologies engage students in specific ways that enable them to learn. Data used in the paper have been collected in three lower secondary schools (7-9th form, ages 13-15) where students and teachers have been…

Experience, Trajectories, and Reifications: An Emerging Framework of Practice-Based Learning in Healthcare Workplaces

ERIC Educational Resources Information Center

Teunissen, Pim W.

2015-01-01

Learning by working is omnipresent in healthcare education. It enables people to learn how to perform, think, and interact in ways that work for their specific context. In this paper, I review my approach to studying this process. It centers on the question why healthcare professionals do what they do and how their actions and learning are…

Collaborative 3D Learning Games for Future Learning: Teachers' Instructional Practices to Enhance Shared Knowledge Construction among Students

ERIC Educational Resources Information Center

Hämäläinen, Raija; Oksanen, Kimmo

2014-01-01

Collaborative games will enable new kinds of possibilities for learning. In the future, the goal of game-based learning should be to introduce new ideas and deepen learners' in-depth understanding. However, studies have shown that shared high-level knowledge construction is a challenging process. Moreover, thus far, few empirical studies have…

Habituation based synaptic plasticity and organismic learning in a quantum perovskite.

PubMed

Zuo, Fan; Panda, Priyadarshini; Kotiuga, Michele; Li, Jiarui; Kang, Mingu; Mazzoli, Claudio; Zhou, Hua; Barbour, Andi; Wilkins, Stuart; Narayanan, Badri; Cherukara, Mathew; Zhang, Zhen; Sankaranarayanan, Subramanian K R S; Comin, Riccardo; Rabe, Karin M; Roy, Kaushik; Ramanathan, Shriram

2017-08-14

A central characteristic of living beings is the ability to learn from and respond to their environment leading to habit formation and decision making. This behavior, known as habituation, is universal among all forms of life with a central nervous system, and is also observed in single-cell organisms that do not possess a brain. Here, we report the discovery of habituation-based plasticity utilizing a perovskite quantum system by dynamical modulation of electron localization. Microscopic mechanisms and pathways that enable this organismic collective charge-lattice interaction are elucidated by first-principles theory, synchrotron investigations, ab initio molecular dynamics simulations, and in situ environmental breathing studies. We implement a learning algorithm inspired by the conductance relaxation behavior of perovskites that naturally incorporates habituation, and demonstrate learning to forget: a key feature of animal and human brains. Incorporating this elementary skill in learning boosts the capability of neural computing in a sequential, dynamic environment.Habituation is a learning mechanism that enables control over forgetting and learning. Zuo, Panda et al., demonstrate adaptive synaptic plasticity in SmNiO 3 perovskites to address catastrophic forgetting in a dynamic learning environment via hydrogen-induced electron localization.

Active Learning through Online Quizzes: Better Learning and Less (Busy) Work

ERIC Educational Resources Information Center

Cook, Brian Robert; Babon, Andrea

2017-01-01

Active learning is increasingly promoted within institutions of higher education to assist students develop higher order thinking and link knowledge to meaning. In this paper, the authors evaluate the use of weekly online quizzes based on prescribed preparatory material as a tool to incentivize preparatory reading in order to enable and encourage…

Investigating the Role of Minecraft in Educational Learning Environments

ERIC Educational Resources Information Center

Callaghan, Noelene

2016-01-01

This research paper identifies the way in which Minecraft Edu can be used to contribute to the teaching and learning of secondary students via a multiple case research study. Minecraft Edu is recognised as a gamification tool that enables its users to create and evaluate project-based learning activities within a classroom context. Learning…

Seeing the Landscape and the Forest Floor: Changes Made to Improve the Connectivity of Concepts in a Hybrid Problem-Based Learning Curriculum

ERIC Educational Resources Information Center

O'Neill, Geraldine; Hung, Woei

2010-01-01

Problem-based learning (PBL) curricula utilise authentic problems that are based in the real-world of practice. This very characteristic enables students to develop an intimate knowledge about the intricacies of practice, metaphorically, seeing the details of the forest floor. However, it is equally important for students to develop an overall…

Faculty Perceptions of Problem-Based Learning in a Veterinary College

ERIC Educational Resources Information Center

Malinowski, Robert

2012-01-01

Problem-based learning (PBL) has been embraced by several veterinary colleges as one approach to manage the ever-growing body of knowledge in the profession. The goal is to foster the development of problem-solving and critical thinking skills in students, enabling them to make logical and informed decisions, rather than rely on the rote…

Nursing Students' Experiential Learning Processes Using an Online 3D Simulation Game

ERIC Educational Resources Information Center

Koivisto, Jaana-Maija; Niemi, Hannele; Multisilta, Jari; Eriksson, Elina

2017-01-01

The growing use of game-based simulation in healthcare education reflects the opportunities afforded to learners by serious games, which simulate real-world situations and enable students to emulate the roles of healthcare professionals in a safe and engaging learning environment. As part of a design-based research project to design, test, and…

Project-Based Learning: A Promising Approach to Improving Student Outcomes. Issue Focus

ERIC Educational Resources Information Center

Quint, Janet; Condliffe, Barbara

2018-01-01

The concept of project-based learning (PBL) has garnered wide support among a number of K-12 education policy advocates and funders. PBL is viewed as an approach that enables students to develop the "21st century competencies"--cognitive and socioemotional skills--needed for success in college and careers. This issue focus, pulling from…

Student reflections following exposure to a case-based interprofessional learning experience: Preliminary findings.

PubMed

Goldberg, Lynette R; Brown, Gina R; Mosack, Victoria A; Fletcher, Phyllis A

2015-01-01

This study analyzed students' written reflections following their initial exposure to interprofessional teamwork in case-based problem-solving. A three-hour seminar featuring three sequenced scenarios was developed and offered 12-times over two semesters. A total of 305 students from a variety of healthcare programs worked together with standardized patients in an on-campus laboratory simulating hospital ward and rehabilitation settings. A thematic analysis of students' reflections showed that they valued the shared learning and realistic case study. However, they felt the experience would be strengthened by working in smaller, more representative teams that included students from medicine, psychology, and social work to enable more effective communication and comprehensive case discussion. While useful for future planning, the identified themes did not enable a comparative statistical analysis of what students found helpful and difficult and a re-coding of students' responses now is underway. Implications for measuring the effectiveness of future interprofessional case-based learning center on addressing the identified weaknesses, and establishing a research design that enables a comparison of pre- and post-seminar data, and the effectiveness of the IPE experience compared to profession-specific experiences.

Bioinformatics Projects Supporting Life-Sciences Learning in High Schools

PubMed Central

Marques, Isabel; Almeida, Paulo; Alves, Renato; Dias, Maria João; Godinho, Ana; Pereira-Leal, José B.

2014-01-01

The interdisciplinary nature of bioinformatics makes it an ideal framework to develop activities enabling enquiry-based learning. We describe here the development and implementation of a pilot project to use bioinformatics-based research activities in high schools, called “Bioinformatics@school.” It includes web-based research projects that students can pursue alone or under teacher supervision and a teacher training program. The project is organized so as to enable discussion of key results between students and teachers. After successful trials in two high schools, as measured by questionnaires, interviews, and assessment of knowledge acquisition, the project is expanding by the action of the teachers involved, who are helping us develop more content and are recruiting more teachers and schools. PMID:24465192

Student Perceptions of Independent versus Facilitated Small Group Learning Approaches to Compressed Medical Anatomy Education

ERIC Educational Resources Information Center

Whelan, Alexander; Leddy, John J.; Mindra, Sean; Matthew Hughes, J. D.; El-Bialy, Safaa; Ramnanan, Christopher J.

2016-01-01

The purpose of this study was to compare student perceptions regarding two, small group learning approaches to compressed (46.5 prosection-based laboratory hours), integrated anatomy education at the University of Ottawa medical program. In the facilitated active learning (FAL) approach, tutors engage students and are expected to enable and…

Micro-Credentials for Impact: Holding Professional Learning to High Standards

ERIC Educational Resources Information Center

Crow, Tracy

2017-01-01

This paper seeks to chart a course for leveraging a micro-credentialing system to enable more educators to achieve the potential of professional learning. The paper uses the Standards for Professional Learning as a frame to provide guidance to everyone involved in micro-credentials to ensure that learners experience the research-based elements of…

Engaging Students in a Simulated Collaborative Action Research Project: An Evaluation of a Participatory Approach to Learning

ERIC Educational Resources Information Center

Congdon, Graham John; Congdon, Shirley

2011-01-01

This article reports an action research project designed to develop and implement a new participatory learning and teaching approach to enable postgraduate healthcare students to develop skills and knowledge in preparation for undertaking an action research study within their practice setting. The learning and teaching approach was based upon the…

Distance Learning as a Tool for Poverty Reduction and Economic Development: A Focus on China and Mexico

ERIC Educational Resources Information Center

Larson, Richard C.; Murray, M. Elizabeth

2008-01-01

This paper uses case studies to focus on distance learning in developing countries as an enabler for economic development and poverty reduction. To provide perspective, we first review the history of telecottages, local technology-equipped facilities to foster community-based learning, which have evolved into "telecenters" or…

Evaluating the Viability of Mobile Learning to Enhance Management Training

ERIC Educational Resources Information Center

Macdonald, Iain; Chiu, Jason

2011-01-01

A qualitative research project was conducted to test the viability of augmenting an e-learning program for workplace learners using mobile content delivered through smart phones. Ten learners taking a six week web-based e-learning course were given smart phones which enabled them to access approximately 70% of the course content, in addition to…

Facilitating Social Collaboration in Mobile Cloud-Based Learning: A Teamwork as A Service (TaaS) Approach

ERIC Educational Resources Information Center

Sun, Geng; Shen, Jun

2014-01-01

Mobile learning is an emerging trend that brings many advantages to distributed learners, enabling them to achieve collaborative learning, in which the virtual teams are usually built to engage multiple learners working together towards the same pedagogical goals in online courses. However, the socio-technical mechanisms to enhance teamwork…

The Significance of the Learner Profile in Recognition of Prior Learning

ERIC Educational Resources Information Center

Snyman, Marici; van den Berg, Geesje

2018-01-01

Recognition of prior learning (RPL) is based on the principle that valuable learning, worthy of recognition, takes place outside formal education. In the context of higher education, legislation provides an enabling framework for the implementation of RPL. However, RPL will only gain its rightful position if it can ensure the RPL candidates'…

Reconceptualizing Teacher Education Programs: Applying Dewey's Theories to Service-Learning with Early Childhood Preservice Teachers

ERIC Educational Resources Information Center

Lake, Vickie E.; Winterbottom, Christian; Ethridge, Elizabeth A.; Kelly, Loreen

2015-01-01

Dewey's concept of enabling children to explore based on their own interests has evolved into investigations and projects using methods of exploration, experimentation, and discovery--three tenets of service-learning. Using mixed methodology, the authors examined the implementation of service-learning in a teacher education program. A total of 155…

The Roles of Protein Kinases in Learning and Memory

ERIC Educational Resources Information Center

Giese, Karl Peter; Mizuno, Keiko

2013-01-01

In the adult mammalian brain, more than 250 protein kinases are expressed, but only a few of these kinases are currently known to enable learning and memory. Based on this information it appears that learning and memory-related kinases either impact on synaptic transmission by altering ion channel properties or ion channel density, or regulate…

OPUS One: An Intelligent Adaptive Learning Environment Using Artificial Intelligence Support

NASA Astrophysics Data System (ADS)

Pedrazzoli, Attilio

2010-06-01

AI based Tutoring and Learning Path Adaptation are well known concepts in e-Learning scenarios today and increasingly applied in modern learning environments. In order to gain more flexibility and to enhance existing e-learning platforms, the OPUS One LMS Extension package will enable a generic Intelligent Tutored Adaptive Learning Environment, based on a holistic Multidimensional Instructional Design Model (PENTHA ID Model), allowing AI based tutoring and adaptation functionality to existing Web-based e-learning systems. Relying on "real time" adapted profiles, it allows content- / course authors to apply a dynamic course design, supporting tutored, collaborative sessions and activities, as suggested by modern pedagogy. The concept presented combines a personalized level of surveillance, learning activity- and learning path adaptation suggestions to ensure the students learning motivation and learning success. The OPUS One concept allows to implement an advanced tutoring approach combining "expert based" e-tutoring with the more "personal" human tutoring function. It supplies the "Human Tutor" with precise, extended course activity data and "adaptation" suggestions based on predefined subject matter rules. The concept architecture is modular allowing a personalized platform configuration.

A learning-based agent for home neurorehabilitation.

PubMed

Lydakis, Andreas; Meng, Yuanliang; Munroe, Christopher; Wu, Yi-Ning; Begum, Momotaz

2017-07-01

This paper presents the iterative development of an artificially intelligent system to promote home-based neurorehabilitation. Although proper, structured practice of rehabilitation exercises at home is the key to successful recovery of motor functions, there is no home-program out there which can monitor a patient's exercise-related activities and provide corrective feedback in real time. To this end, we designed a Learning from Demonstration (LfD) based home-rehabilitation framework that combines advanced robot learning algorithms with commercially available wearable technologies. The proposed system uses exercise-related motion information and electromyography signals (EMG) of a patient to train a Markov Decision Process (MDP). The trained MDP model can enable an agent to serve as a coach for a patient. On a system level, this is the first initiative, to the best of our knowledge, to employ LfD in an health-care application to enable lay users to program an intelligent system. From a rehabilitation research perspective, this is a completely novel initiative to employ machine learning to provide interactive corrective feedback to a patient in home settings.

Magnetic Field Measurements on the Lunar Surface: Lessons Learned from Apollo and Science Enabled by Future Missions

NASA Astrophysics Data System (ADS)

Chi, P. J.

2017-10-01

We discuss the science to be enabled by new magnetometer measurements on the lunar surface, based on results from Apollo and other lunar missions. Also discussed are approaches to deploying magnetometers on the lunar surface with today's technology.

Audio-based, unsupervised machine learning reveals cyclic changes in earthquake mechanisms in the Geysers geothermal field, California

NASA Astrophysics Data System (ADS)

Holtzman, B. K.; Paté, A.; Paisley, J.; Waldhauser, F.; Repetto, D.; Boschi, L.

2017-12-01

The earthquake process reflects complex interactions of stress, fracture and frictional properties. New machine learning methods reveal patterns in time-dependent spectral properties of seismic signals and enable identification of changes in faulting processes. Our methods are based closely on those developed for music information retrieval and voice recognition, using the spectrogram instead of the waveform directly. Unsupervised learning involves identification of patterns based on differences among signals without any additional information provided to the algorithm. Clustering of 46,000 earthquakes of $0.3

The Use of Computer-Based Simulation to Aid Comprehension and Incidental Vocabulary Learning

ERIC Educational Resources Information Center

Mohsen, Mohammed Ali

2016-01-01

One of the main issues in language learning is to find ways to enable learners to interact with the language input in an involved task. Given that computer-based simulation allows learners to interact with visual modes, this article examines how the interaction of students with an online video simulation affects their second language video…

Students' perceptions of clinical teaching and learning strategies: a Pakistani perspective.

PubMed

Khan, Basnama Ayaz; Ali, Fauziya; Vazir, Nilofar; Barolia, Rubina; Rehan, Seema

2012-01-01

The complexity of the health care environment is increasing with the explosion of technology, coupled with the issues of patients' access, equity, time efficiency, and cost containment. Nursing education must focus on means that enable students to develop the processes of active learning, problem-solving, and critical thinking, in order to enable them to deal with the complexities. This study aims at identifying the nursing students' perceptions about the effectiveness of utilized teaching and learning strategies of clinical education, in improving students' knowledge, skills, and attitudes. A descriptive cross sectional study design was utilized using both qualitative and quantitative approaches. Data were collected from 74 students, using a questionnaire that was developed for the purpose of the study and analyzed using descriptive and non-parametric statistics. The findings revealed that demonstration was the most effective strategy for improving students' skills; reflection, for improving attitudes; and problem based learning and concept map for improving their knowledge. Students' responses to open-ended questions confirmed the effectiveness of these strategies in improving their learning outcomes. Recommendations have been provided based on the findings. Copyright © 2011 Elsevier Ltd. All rights reserved.

Gender Differences in Computer- and Instrumental-Based Musical Composition

ERIC Educational Resources Information Center

Shibazaki, Kagari; Marshall, Nigel A.

2013-01-01

Background: Previous studies have argued that technology can be a major support to the music teacher enabling, amongst other things, increased student motivation, higher levels of confidence and more individualised learning to take place [Bolton, J. 2008. "Technologically mediated composition learning: Josh's story." "British…

Active learning for noisy oracle via density power divergence.

PubMed

Sogawa, Yasuhiro; Ueno, Tsuyoshi; Kawahara, Yoshinobu; Washio, Takashi

2013-10-01

The accuracy of active learning is critically influenced by the existence of noisy labels given by a noisy oracle. In this paper, we propose a novel pool-based active learning framework through robust measures based on density power divergence. By minimizing density power divergence, such as β-divergence and γ-divergence, one can estimate the model accurately even under the existence of noisy labels within data. Accordingly, we develop query selecting measures for pool-based active learning using these divergences. In addition, we propose an evaluation scheme for these measures based on asymptotic statistical analyses, which enables us to perform active learning by evaluating an estimation error directly. Experiments with benchmark datasets and real-world image datasets show that our active learning scheme performs better than several baseline methods. Copyright © 2013 Elsevier Ltd. All rights reserved.

Imagination in Twenty-First Century Teaching and Learning Teachers as Creative-Adaptive Leaders in the Classroom

ERIC Educational Resources Information Center

Dias, Shamini Samanlatha Elizabeth

2013-01-01

This dissertation explored the value and functions of imagination in leading learning in the twenty-first century, a knowledge-based age marked by diversity, change and unpredictability. In such a context, how can imagination enable teachers to be leaders of learning who optimally engage and prepare students for success? Research in cognitive…

Personalised Learning as Repressive Tolerance: A Comparative Ethnographic Analysis from Research in Three Swedish Schools

ERIC Educational Resources Information Center

Dovemark, Marianne; Johansson, Monica

2016-01-01

The idea of personalised learning is built upon a liberal tradition that values tolerance in enabling the process of human autonomy. In this article, we elaborate on this notion, its theoretical base and effects on the learning conditions of upper secondary school students. We draw upon data from three different studies of the Swedish upper…

Two Types of Learning Environment: Enabling and Constraining a Study of Care Work

ERIC Educational Resources Information Center

Ellstrom, Eva; Ekholm, Bodil; Ellstrom, Per-Erik

2008-01-01

Purpose: The purpose of this paper is to first elaborate on the notion of a learning environment based on an empirical study of care work. Second, to explore how aspects of a learning environment may differ between and within units in the same organization, and how to understand and explain such differences. Design/methodology/approach: The study…

Boundary Interaction: Towards Developing a Mobile Technology-Enabled Science Curriculum to Integrate Learning in the Informal Spaces

ERIC Educational Resources Information Center

Sun, Daner; Looi, Chee-Kit

2018-01-01

This paper explores the crossover between formal learning and learning in informal spaces supported by mobile technology, and proposes design principles for educators to carry out a science curriculum, namely Boundary Activity-based Science Curriculum (BAbSC). The conceptualization of the boundary object, and the principles of boundary activity as…

The Place of Social Learning and Social Movement in Transformative Learning: A Case Study of Sustainability Schools in Uganda

ERIC Educational Resources Information Center

Westoby, Peter; Lyons, Kristen

2017-01-01

This article analyses the sustainability school (SS) program of the National Association of Professional Environmentalists (NAPE), Uganda. The focus is on how the social network, enabled by the SS program, fosters social and transformative learning. The significance of this approach to community-based education for social change, including in the…

A Distance Learning Review--The Communicational Module "Learning on Demand--Anywhere at Any Time"

ERIC Educational Resources Information Center

Tatkovic, Nevenka; Ruzic, Maja

2004-01-01

The society of knowledge refers to the society marked with the principle which requires that knowledge, information and life-time learning hold a key to success in the world of IT technology. Internet, World Wide Web, Web Based Education and ever so growing speed of IT and communicational technologies have enabled the application of new modes,…

A Quantitative Analysis of the Role of Social Networks in Educational Contexts

ERIC Educational Resources Information Center

Shokri, Azam; Dafoulas, Georgios

2016-01-01

Recent advances in Information Technology (IT) and the advent of Web 2.0 created the path for education to ascertain its potential from this phenomenon. The role of e-learning has transformed completely as Web 2.0 technologies enabled the creation of learning content that is no longer based on textbooks and learning guides, but on manageable,…

Support patient search on pathology reports with interactive online learning based data extraction.

PubMed

Zheng, Shuai; Lu, James J; Appin, Christina; Brat, Daniel; Wang, Fusheng

2015-01-01

Structural reporting enables semantic understanding and prompt retrieval of clinical findings about patients. While synoptic pathology reporting provides templates for data entries, information in pathology reports remains primarily in narrative free text form. Extracting data of interest from narrative pathology reports could significantly improve the representation of the information and enable complex structured queries. However, manual extraction is tedious and error-prone, and automated tools are often constructed with a fixed training dataset and not easily adaptable. Our goal is to extract data from pathology reports to support advanced patient search with a highly adaptable semi-automated data extraction system, which can adjust and self-improve by learning from a user's interaction with minimal human effort. We have developed an online machine learning based information extraction system called IDEAL-X. With its graphical user interface, the system's data extraction engine automatically annotates values for users to review upon loading each report text. The system analyzes users' corrections regarding these annotations with online machine learning, and incrementally enhances and refines the learning model as reports are processed. The system also takes advantage of customized controlled vocabularies, which can be adaptively refined during the online learning process to further assist the data extraction. As the accuracy of automatic annotation improves overtime, the effort of human annotation is gradually reduced. After all reports are processed, a built-in query engine can be applied to conveniently define queries based on extracted structured data. We have evaluated the system with a dataset of anatomic pathology reports from 50 patients. Extracted data elements include demographical data, diagnosis, genetic marker, and procedure. The system achieves F-1 scores of around 95% for the majority of tests. Extracting data from pathology reports could enable more accurate knowledge to support biomedical research and clinical diagnosis. IDEAL-X provides a bridge that takes advantage of online machine learning based data extraction and the knowledge from human's feedback. By combining iterative online learning and adaptive controlled vocabularies, IDEAL-X can deliver highly adaptive and accurate data extraction to support patient search.

Involuntary Commitment Application: An Online Training Module

ERIC Educational Resources Information Center

Whitfield, Kimberly Y.

2012-01-01

The use of Web-based technology has enabled many government and corporate training divisions to reach more learners than ever before. Institutions are restructuring their budgets, obtaining funding from governments and foundations to fund resources needed to increase online learning offerings. While online learning is increasing, questions arise…

Positioning the OER Business Model for Open Education

ERIC Educational Resources Information Center

de Langen, F. H. T.; Bitter-Rijkema, M. E.

2012-01-01

The enabling power of technology, especially information technology and social software, prompts a radical shift in economic and social interactions in societies around the globe. Existing traditional school based, formalized learning formats are unable to accommodate specific new learning needs. Hence, customized to the respective purposes of…

The Online Learning Academy.

ERIC Educational Resources Information Center

Taylor, Suzanne Liebowitz; McKay, Donald P.; Culp, Ann; Baumann, Stephen; Elinich, Karen

This paper describes the Online Learning Academy (OLLA), a World Wide Web-based presence that supports the use of telecomputing in the classroom by: connecting teachers to each other and Internet educational resources; fostering the use of online resources and collaboration; encouraging and enabling the sharing of classroom experiences; and…

The virtual continuity in learning programme: results.

PubMed

Wood, Eleanor; Tso, Simon

2012-08-01

The implementation of the European Working Time Directive and specialty-driven care has resulted in the loss of continuity of patient care, and thus a loss of continuity in learning. We proposed a potential solution to this fragmentation of junior doctor workplace learning in the Virtual Continuity in Learning Programme (VCLP). The VCLP enables the doctor to follow the virtual patient journey (of an actual patient who is no longer under their care) using the Virtual Consulting Room (VcR), and to understand the rationale behind clinical decision making prior to completing their case-based discussion (CbD) work-based assessments. Fifty-seven out of 62 (92%) of foundation doctors (Homerton University Hospital, London, UK) consented to participate in the study. Web-tracking software was used. Fifty-three out of 57 (93%) doctors completed an initial questionnaire. Twenty-nine out of 57 (51%) doctors returned a follow-up questionnaire 6 months later. Eleven doctors were interviewed in three focus groups: the VcR user group; the VcR non-user group; and a mixed group. The data was analysed qualitatively. Tracking showed 33.3 per cent (19/57) of doctors used the VcR over a 6-month period. Interestingly doctors used the VcR in a range of situations, not solely as instructed. Results enabled us to understand how doctors learn and their perception of using the VCLP to support their learning and completion of work-based assessments. Foundation doctors use the educational resources available, including the VcR, to help structure their workplace learning. The majority of VcR users found it particularly useful for just-in-time learning. The VCLP offers support to junior doctors learning during their preparation for case-based discussion. © Blackwell Publishing Ltd 2012.

Interactive Learning Program (ILP)- a concept for life long learning and Capacity Building of Stakeholders in Integrated Flood Management (IFM)

NASA Astrophysics Data System (ADS)

Pasche, E.; Manojlovic, N.; Basener, S.; Behzadnia, N.

2009-04-01

In the paradigm shift in flood management from traditional to more integrated approach the key to initialising this transition stage is capacity building of stakeholders. It supports the effective participation of stakeholders within their role by giving the individuals/professionals and institutions required knowledge and skills. Such a process of empowering targeted stakeholder groups should be based on the interactive learning rather than mere delivering of flood related information. It can be achieved by initiating the learning process and developing life-long learning programs in form of blended learning that combines both, supervised online and face-to-face approaches. The learning concept based on the didactic principle of Kolb/Fry, has been used as a basis for development of the Interactive Learning Program (ILP) presented in this paper. Kolb/Fry define learning as a cyclic process dividing it into four steps: concrete experience, reflection & observation, forming abstract concepts, testing of acquainted knowledge in new situations. As the knowledge to understand the complexity of IFM is extensive and required level usually cannot be achieved within the face-to-face phase, additional autodidactic learning module tailored to the individual skills should be included in the learning program. ILP combines both, the face-to-face sessions following the Kolb?s learning cycle including theoretical and practical aspects and autodidactic phase by means of the e-learning platform based on the web dissemination strategy for IFM- Kalypso Inform (Pasche/Kraus/Manojlovic). According to this strategy, the access to the flood related information is enabled through three different modules Tutorial, Knowledge Base and Virtual Trainer enabling interaction with the system. This ILP is generic and can be tailored to requirements of different stakeholder groups depending on their role and level of integration in IFM. The first results, obtained for both public and private stakeholders, are encouraging indicating that such concepts should become a substantial part of the IFM.

The application of brain-based learning principles aided by GeoGebra to improve mathematical representation ability

NASA Astrophysics Data System (ADS)

Priatna, Nanang

2017-08-01

The use of Information and Communication Technology (ICT) in mathematics instruction will help students in building conceptual understanding. One of the software products used in mathematics instruction is GeoGebra. The program enables simple visualization of complex geometric concepts and helps improve students' understanding of geometric concepts. Instruction applying brain-based learning principles is one oriented at the efforts of naturally empowering the brain potentials which enable students to build their own knowledge. One of the goals of mathematics instruction in school is to develop mathematical communication ability. Mathematical representation is regarded as a part of mathematical communication. It is a description, expression, symbolization, or modeling of mathematical ideas/concepts as an attempt of clarifying meanings or seeking for solutions to the problems encountered by students. The research aims to develop a learning model and teaching materials by applying the principles of brain-based learning aided by GeoGebra to improve junior high school students' mathematical representation ability. It adopted a quasi-experimental method with the non-randomized control group pretest-posttest design and the 2x3 factorial model. Based on analysis of the data, it is found that the increase in the mathematical representation ability of students who were treated with mathematics instruction applying the brain-based learning principles aided by GeoGebra was greater than the increase of the students given conventional instruction, both as a whole and based on the categories of students' initial mathematical ability.

Ecological literacy and beyond: Problem-based learning for future professionals.

PubMed

Lewinsohn, Thomas M; Attayde, José Luiz; Fonseca, Carlos Roberto; Ganade, Gislene; Jorge, Leonardo Ré; Kollmann, Johannes; Overbeck, Gerhard E; Prado, Paulo Inácio; Pillar, Valério D; Popp, Daniela; da Rocha, Pedro L B; Silva, Wesley Rodrigues; Spiekermann, Annette; Weisser, Wolfgang W

2015-03-01

Ecological science contributes to solving a broad range of environmental problems. However, lack of ecological literacy in practice often limits application of this knowledge. In this paper, we highlight a critical but often overlooked demand on ecological literacy: to enable professionals of various careers to apply scientific knowledge when faced with environmental problems. Current university courses on ecology often fail to persuade students that ecological science provides important tools for environmental problem solving. We propose problem-based learning to improve the understanding of ecological science and its usefulness for real-world environmental issues that professionals in careers as diverse as engineering, public health, architecture, social sciences, or management will address. Courses should set clear learning objectives for cognitive skills they expect students to acquire. Thus, professionals in different fields will be enabled to improve environmental decision-making processes and to participate effectively in multidisciplinary work groups charged with tackling environmental issues.

Commentary: Academic Enablers and School Learning.

ERIC Educational Resources Information Center

Keith, Timothy Z.

2002-01-01

This commentary presents academic enablers within the broader, overlapping context of school learning theory, including the theories of Carroll, Harnishfeger and Wiley, Walberg, and others. Multivariate models are needed to understand the influences of academic enabler and school learning variables on learning, as well as the influences of these…

Influence on Learning of a Collaborative Learning Method Comprising the Jigsaw Method and Problem-based Learning (PBL).

PubMed

Takeda, Kayoko; Takahashi, Kiyoshi; Masukawa, Hiroyuki; Shimamori, Yoshimitsu

2017-01-01

Recently, the practice of active learning has spread, increasingly recognized as an essential component of academic studies. Classes incorporating small group discussion (SGD) are conducted at many universities. At present, assessments of the effectiveness of SGD have mostly involved evaluation by questionnaires conducted by teachers, by peer assessment, and by self-evaluation of students. However, qualitative data, such as open-ended descriptions by students, have not been widely evaluated. As a result, we have been unable to analyze the processes and methods involved in how students acquire knowledge in SGD. In recent years, due to advances in information and communication technology (ICT), text mining has enabled the analysis of qualitative data. We therefore investigated whether the introduction of a learning system comprising the jigsaw method and problem-based learning (PBL) would improve student attitudes toward learning; we did this by text mining analysis of the content of student reports. We found that by applying the jigsaw method before PBL, we were able to improve student attitudes toward learning and increase the depth of their understanding of the area of study as a result of working with others. The use of text mining to analyze qualitative data also allowed us to understand the processes and methods by which students acquired knowledge in SGD and also changes in students' understanding and performance based on improvements to the class. This finding suggests that the use of text mining to analyze qualitative data could enable teachers to evaluate the effectiveness of various methods employed to improve learning.

Suggestopedia: A New Way to Learn.

ERIC Educational Resources Information Center

Thomas, Elaine

Suggestopedia is a recent teaching technique which enables students to learn with impressive speed, little conscious effort, and a great deal of pleasure. Developed by Georgi Lozanov, suggestopedia is based on the assumption that a number of environmental, social, and psychological variables can be altered to make more effective use of students'…

Technology Project Learning versus Lab Experimentation

ERIC Educational Resources Information Center

Waks, S.; Sabag, N.

2004-01-01

The Project-Based Learning (PBL) approach enables the student to construct knowledge in his/her own way. Piaget, the founder of constructivism, saw the development of intelligence as a process involving the relationship between brain maturity and individual experience. The technology PBL (TPBL) approach confronts the student with a personal…

Designing Pedagogical Innovation for Collaborating Teacher Teams

ERIC Educational Resources Information Center

Weitze, Charlotte Laerke

2017-01-01

In this design-based research project, teachers co-created and used a new learning design model, the "IT-Pedagogical Think Tank Model for Teacher Teams." This continuous-competence-development method enabled teachers to collaborate and develop innovative-learning designs for students in a new hybrid synchronous video-mediated learning…

Place-Based Learning and Mobile Technology

ERIC Educational Resources Information Center

LaBelle, Chris

2011-01-01

When delivered on a mobile device, interpretive tours of a locale afford powerful learning experiences. As mobile devices become more powerful, content for these devices that is individualized and location-specific has become more common. In light of this trend, Oregon State University Extension developed a GPS-enabled iPhone tree tour…

Towards Design Guidelines for Work Related Learning Arrangements

ERIC Educational Resources Information Center

Lappia, Josephine H.

2011-01-01

Purpose: The purpose of the study is to produce design guidelines based on insights from both practice and theory that will enable teachers and educational developers to execute the design, implementation and evaluation of their work-related learning arrangements with stakeholders involved. Design/methodology/approach: The first study reported in…

A Comparative Study of Learning Organisation Practices of Indian Businesses

ERIC Educational Resources Information Center

Bhattacharya, Sonali; Neelam, Netra; Behl, Abhishek; Acharya, Sabyasachi

2017-01-01

Purpose: In this study we compared the learning organisation practices of Indian Businesses across sectors. Methodology: The study is based on a sample of 406 managers of banking, information technology and information technology enabled services (IT/ITES), manufacturing, hotel & hospitality and hospital and healthcare sectors. Learning…

Evolutionary Biology Digital Dissection Project: Web-Based Laboratory Learning Opportunities for Students

ERIC Educational Resources Information Center

Fabian, Carole Ann

2004-01-01

A university in Buffalo introduced its students to evolution by providing them with information on evidence of evolution, mechanisms for evolution, principles of genetics, selection, adaptation, evolution and sociobiology. This method of teaching with technology enabled students to improve and expand their learning opportunities.

Critique of a Language-Learning Website

ERIC Educational Resources Information Center

Kan, Soh Or

2011-01-01

Listening plays a crucial part in the learning of overseas students in the United Kingdom. Students can never follow a lecture or discussion in English without listening. Traditional classroom teaching in listening limits students' time and space. However, the Web-based listening course accommodates listeners a great deal, enabling them to access…

An Infrastructure for Web-Based Computer Assisted Learning

ERIC Educational Resources Information Center

Joy, Mike; Muzykantskii, Boris; Rawles, Simon; Evans, Michael

2002-01-01

We describe an initiative under way at Warwick to provide a technical foundation for computer aided learning and computer-assisted assessment tools, which allows a rich dialogue sensitive to individual students' response patterns. The system distinguishes between dialogues for individual problems and the linking of problems. This enables a subject…

University Students' Perceptions of Electronic Rubric-Based Assessment

ERIC Educational Resources Information Center

Raposo-Rivas, Manuela; Gallego-Arrufat, María-Jesús

2016-01-01

Integrating technology into assessment processes in university contexts can change educational practices, in some cases by fostering self-regulated learning and in others by enabling more interactivity and participation among users. In this paper, we examine the opportunity to use electronic rubrics (erubrics) to assess learning. We report a…

Integrating Blended Teaching and Learning to Enhance Graduate Attributes

ERIC Educational Resources Information Center

Hermens, Antoine; Clarke, Elizabeth

2009-01-01

Purpose: The purpose of this paper is to explore the role of computer based business simulations in higher education as innovative tools of teaching and learning to enhance students' practical understanding of real business problems. Whether the integration of business simulation technologies will enable significant innovation in teaching and…

Parent-Child Learning Interactions: A Review of the Literature on Scaffolding

ERIC Educational Resources Information Center

Mermelshtine, Roni

2017-01-01

Background: Scaffolding can be observed during learning-based interactions, when interventions by parents are adjusted according to children's observed abilities, with the main goal of enabling the child to work independently (Wood "et al.", 1976, "Journal of child psychology and psychiatry," 17, 89). Such contingent…

Learning about Assessment: The Impact of Two Courses for Higher Education Staff

ERIC Educational Resources Information Center

Reimann, Nicola

2018-01-01

This interview-based study investigated the impact of two academic development courses about assessment. Participants learnt concepts and terminology that enabled them to better understand and communicate about assessment. The courses also stimulated critical thinking about assessment practices and conceptual change, with 'assessment for learning'…

Toward an Integrated Online Learning Environment

NASA Astrophysics Data System (ADS)

Teodorescu, Raluca E.; Pawl, Andrew; Rayyan, Saif; Barrantes, Analia; Pritchard, David E.

2010-10-01

We are building in LON-CAPA an integrated learning environment that will enable the development, dissemination and evaluation of PER-based material. This environment features a collection of multi-level research-based homework sets organized by topic and cognitive complexity. These sets are associated with learning modules that contain very short exposition of the content supplemented by integrated open-access videos, worked examples, simulations, and tutorials (some from ANDES). To assess students' performance accurately with respect to a system-wide standard, we plan to implement Item Response Theory. Together with other PER assessments and purposeful solicitation of student feedback, this will allow us to measure and improve the efficacy of various research-based materials, while getting insights into teaching and learning.

Exploring educational needs and design aspects of internet-enabled patient education for persons with diabetes: a qualitative interview study

PubMed Central

Jafari, Javad; Karimi Moonaghi, Hosein; Zary, Nabil; Masiello, Italo

2016-01-01

Objective The objective of this article is to explore the educational needs and design aspects of personalised internet-enabled education for patients with diabetes in Iran. Design Data were collected using semistructured interviews and then qualitatively analysed using inductive content analysis. Participants 9 patients with type 2 diabetes were included. Inclusion criteria were access to and knowledge on how to use the internet. The selection ensured representation based on gender, age, occupation and educational background. Setting The sample population was patients with diabetes who were admitted to an outpatient diabetes clinic in Mashhad, a large city of Iran with about 3 million inhabitants. Results 4 core categories emerged from the data: (1) seeking knowledge about diabetes, including specific knowledge acquisition, patient's interactions and learning requirements; (2) teaching and learning, including using different teaching methods and different ways to learn about the disease; (3) facilitators, including internet and mobile phone use to learn about the disease; and (4) barriers, including lack of internet access, uncertainty of access to the internet and lack of website in the local language and also perceived cultural barriers, such as patients' fears of the internet, lack of time and awareness. Conclusions This study provides a better understanding of the patient's educational expectations and technical needs in relation to internet-enabled education. This knowledge will inform the development of functional mock-ups in the next research phase using a design-based research approach in order to design internet-enabled patient education for self-management of diabetes. PMID:27799245

GeoMapApp Learning Activities: Enabling the democratisation of geoscience learning

NASA Astrophysics Data System (ADS)

Goodwillie, A. M.; Kluge, S.

2011-12-01

GeoMapApp Learning Activities (http://serc.carleton.edu/geomapapp) are step-by-step guided inquiry geoscience education activities that enable students to dictate the pace of learning. They can be used in the classroom or out of class, and their guided nature means that the requirement for teacher intervention is minimised which allows students to spend increased time analysing and understanding a broad range of geoscience data, content and concepts. Based upon GeoMapApp (http://www.geomapapp.org), a free, easy-to-use map-based data exploration and visualisation tool, each activity furnishes the educator with an efficient package of downloadable documents. This includes step-by-step student instructions and answer sheet; a teacher's edition annotated worksheet containing teaching tips, additional content and suggestions for further work; quizzes for use before and after the activity to assess learning; and a multimedia tutorial. The activities can be used by anyone at any time in any place with an internet connection. In essence, GeoMapApp Learning Activities provide students with cutting-edge technology, research-quality geoscience data sets, and inquiry-based learning in a virtual lab-like environment. Examples of activities so far created are student calculation and analysis of the rate of seafloor spreading, and present-day evidence on the seafloor for huge ancient landslides around the Hawaiian islands. The activities are designed primarily for students at the community college, high school and introductory undergraduate levels, exposing students to content and concepts typically found in those settings.

Framing ICT-Enabled Innovation for Learning: The Case of One-to-One Learning Initiatives in Europe

ERIC Educational Resources Information Center

Bocconi, Stefania; Kampylis, Panagiotis; Punie, Yves

2013-01-01

This article discusses 1:1 learning initiatives in Europe in the context of a mapping framework of ICT-enabled innovation for learning. The aim of the framework, visualised as a spider's web, is two-fold: (i) to provide a further understanding of the nature of ICT-enabled innovation for learning; and (ii) to depict the impact of existing and…

A Qualitative Investigation into How Problem-Based Learning Impacts on the Development of Team-Working Skills in Occupational Therapy Students

ERIC Educational Resources Information Center

Seymour, Alison

2013-01-01

It has been suggested that problem-based learning (PBL) has a positive impact on the team-working skills of medical, health and social care students. These skills are important for graduates to master to enable effective collaborative working in today's diverse health and social care settings. What is not clear from the literature is how…

Contextual Teaching and Learning: Preparing Teachers to Enhance Student Success in the Workplace and Beyond. Information Series No. 376.

ERIC Educational Resources Information Center

ERIC Clearinghouse on Adult, Career, and Vocational Education, Columbus, OH.

The papers in this volume outline a vision for teacher education based on the concept of contextual teaching, defined as teaching that enables learning in a variety of in- and out-of-school contexts to solve simulated or real-world problems. They are based on the realization that the construction of knowledge is situated within, and greatly…

Understanding the essential elements of work-based learning and its relevance to everyday clinical practice.

PubMed

Williams, Caroline

2010-09-01

To critically review the work-based learning literature and explore the implications of the findings for the development of work-based learning programmes. With NHS budgets under increasing pressure, and challenges to the impact of classroom-based learning on patient outcomes, work-based learning is likely to come under increased scrutiny as a potential solution. Evidence from higher education institutions suggests that work-based learning can improve practice, but in many cases it is perceived as little more than on-the-job training to perform tasks. The CINAHL database was searched using the keywords work-based learning, work-place learning and practice-based learning. Those articles that had a focus on post-registration nursing were selected and critically reviewed. Using the review of the literature, three key issues were explored. Work-based learning has the potential to change practice. Learning how to learn and critical reflection are key features. For effective work-based learning nurses need to take control of their own learning, receive support to critically reflect on their practice and be empowered to make changes to that practice. A critical review of the literature has identified essential considerations for the implementation of work-based learning. A change in culture from classroom to work-based learning requires careful planning and consideration of learning cultures. To enable effective work-based learning, nurse managers need to develop a learning culture in their workplace. They should ensure that skilled facilitation is provided to support staff with critical reflection and effecting changes in practice. CONTRIBUTION TO NEW KNOWLEDGE: This paper has identified three key issues that need to be considered in the development of work-based learning programmes. © 2010 The Authors. Journal compilation © 2010 Blackwell Publishing Ltd.

Building Science-Relevant Literacy with Technical Writing in High School

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

Girill, T R

2006-06-02

By drawing on the in-class work of an on-going literacy outreach project, this paper explains how well-chosen technical writing activities can earn time in high-school science courses by enabling underperforming students (including ESL students) to learn science more effectively. We adapted basic research-based text-design and usability techniques into age-appropriate exercises and cases using the cognitive apprenticeship approach. This enabled high-school students, aided by explicit guidelines, to build their cognitive maturity, learn how to craft good instructions and descriptions, and apply those skills to better note taking and technical talks in their science classes.

Educational Change in Singapore and Its "Tinkering" around the Edges: A Critical Realist Perspective

ERIC Educational Resources Information Center

De Souza, Denise E.

2018-01-01

This article re-examines the contents of Singapore's Thinking Schools Learning Nation (TSLN) and Teach Less Learn More (TLLM) educational initiatives, introduced and implemented to promote change and to prepare Singaporeans for a twenty-first century knowledge-based economy. Adopting a critical realist perspective that enables investigations into…

Exploring Tensions in Developing Assessment for Learning

ERIC Educational Resources Information Center

Webb, Mary; Jones, Jane

2009-01-01

This paper is based on a study of classroom practice of primary school teachers who were engaged in a programme of professional development to implement formative assessment in their classrooms. The programme sought to develop the skills and expertise of teachers to enable formative assessment to be used to support and improve the learning of…

Learning through Geography. Pathways in Geography Series, Title No. 7.

ERIC Educational Resources Information Center

Slater, Frances

This teacher's guide is to enable the teacher to promote thinking through the use of geography. The book lays out the rationale in learning theory for an issues-based, question-driven inquiry method and proceeds through a simple model of progression from identifying key questions to developing generalizations. Students study issues of geographic…

Overcoming Underachieving: An Action Guide to Helping Your Child Succeed in School.

ERIC Educational Resources Information Center

Goldstein, Sam; Mather, Nancy

Academic underachievement represents a significant problem faced by many children. This guide for parents is based on a framework called "Building Blocks of Learning" that enables parents to evaluate their child's pattern of learning and to pinpoint strengths as well as weaknesses. By using strengths to bolster weaknesses, continuing damage to…

Behavioral and cognitive evaluation of FireWorks education trunk

Treesearch

Linda R. Thomas; James A. Walsh; Jane Kapler Smith

2000-01-01

This study assessed the effectiveness of FireWorks, an educational trunk about wildland fire, in increasing student understanding, enabling students to apply classroom learning in a field setting, and improving the learning environment. Students who were in classrooms using the FireWorks educational trunk demonstrated more knowledge in both classroom and field-based...

An Adaptive Testing System for Supporting Versatile Educational Assessment

ERIC Educational Resources Information Center

Huang, Yueh-Min; Lin, Yen-Ting; Cheng, Shu-Chen

2009-01-01

With the rapid growth of computer and mobile technology, it is a challenge to integrate computer based test (CBT) with mobile learning (m-learning) especially for formative assessment and self-assessment. In terms of self-assessment, computer adaptive test (CAT) is a proper way to enable students to evaluate themselves. In CAT, students are…

Ontology-Based Annotation of Learning Object Content

ERIC Educational Resources Information Center

Gasevic, Dragan; Jovanovic, Jelena; Devedzic, Vladan

2007-01-01

The paper proposes a framework for building ontology-aware learning object (LO) content. Previously ontologies were exclusively employed for enriching LOs' metadata. Although such an approach is useful, as it improves retrieval of relevant LOs from LO repositories, it does not enable one to reuse components of a LO, nor to incorporate an explicit…

Secondary Teachers' Concerns in Adopting Learning Management Systems: A U.S. Perspective

ERIC Educational Resources Information Center

Lochner, Bianca; Conrad, Rita-Marie; Graham, Edward

2015-01-01

This study examined the concerns of U.S. secondary teachers regarding the adoption of learning management systems (LMSs) utilizing the concerns-based adoption model (CBAM). The stages of concern questionnaire used enabled the strength of teacher concerns to be measured for seven distinct stages of concerns: awareness, informational, personal,…

Digital Games as Creativity Enablers for Children

ERIC Educational Resources Information Center

Ott, Michela; Pozzi, Francesca

2012-01-01

This article deals with the issue of creativity and the way this can be supported within technology-enhanced learning experiments. Drawing on a long-term research project in the field of games-based learning, the article describes the methodology adopted during the in-field experiments carried out with the aim of developing young children's…

Cooperative Learning Technique through Internet Based Education: A Model Proposal

ERIC Educational Resources Information Center

Ozkan, Hasan Huseyin

2010-01-01

Internet is gradually becoming the most valuable learning environment for the people which form the information society. That the internet provides written, oral and visual communication between the participants who are at different places, that it enables the students' interaction with other students and teachers, and that it does these so fast…

Outcomes from Flexible Learning Options for Disenfranchised Youth: What Counts?

ERIC Educational Resources Information Center

te Riele, Kitty; Wilson, Kimberley; Wallace, Valda; McGinty, Sue; Lewthwaite, Brian

2017-01-01

Flexible Learning Options (FLOs) are common across many countries to enable secondary school completion by young people for whom mainstream schooling has not worked well. Access to high-quality education through FLOs is a social justice issue. In the context of an inclination among governments for accountability and evidence-based policy, as well…

Comparison of sampling strategies for object-based classification of urban vegetation from Very High Resolution satellite images

NASA Astrophysics Data System (ADS)

Rougier, Simon; Puissant, Anne; Stumpf, André; Lachiche, Nicolas

2016-09-01

Vegetation monitoring is becoming a major issue in the urban environment due to the services they procure and necessitates an accurate and up to date mapping. Very High Resolution satellite images enable a detailed mapping of the urban tree and herbaceous vegetation. Several supervised classifications with statistical learning techniques have provided good results for the detection of urban vegetation but necessitate a large amount of training data. In this context, this study proposes to investigate the performances of different sampling strategies in order to reduce the number of examples needed. Two windows based active learning algorithms from state-of-art are compared to a classical stratified random sampling and a third combining active learning and stratified strategies is proposed. The efficiency of these strategies is evaluated on two medium size French cities, Strasbourg and Rennes, associated to different datasets. Results demonstrate that classical stratified random sampling can in some cases be just as effective as active learning methods and that it should be used more frequently to evaluate new active learning methods. Moreover, the active learning strategies proposed in this work enables to reduce the computational runtime by selecting multiple windows at each iteration without increasing the number of windows needed.

Designing Higher Education Courses and other Professional Development to Engender Science Teachers' Enthusiasm to Embrace the New Generation Science Standards

NASA Astrophysics Data System (ADS)

Welstead, C.; Forder, S. E.

2014-12-01

This presentation is an overview of best practices in the design of continuing education courses and professional development workshops for Science teachers to enable them to transition to the NGSS; to share their enthusiasm in a way that engages students and leads to increased student achievement; and to become change agents in their educational settings and in their communities, in order to garner widespread support for an inquiry-based, NGSS-based curriculum. Proposed strands for teacher preparation programmes include a focus on higher level conceptual thinking; problem-solving opportunities for learning; inquiry-based learning; experiential learning and fieldwork; the authentic and effective incorporation of technology in teaching and learning; integrated and cross-curricular teaching and learning; learning that supports diversity and equity; and the appropriate, reliable and valid assessment of understanding. A series of three courses has been developed to prepare teachers in a graduate programme for implementing an inquiry-based, standards-based Science curriculum that incorporates the above-mentioned strands.

Technology Enabled Learning. Symposium.

ERIC Educational Resources Information Center

2002

This document contains three papers on technology-enabled learning and human resource development. Among results found in "Current State of Technology-enabled Learning Programs in Select Federal Government Organizations: a Case Study of Ten Organizations" (Letitia A. Combs) are the following: the dominant delivery method is traditional…

A knowledge-base generating hierarchical fuzzy-neural controller.

PubMed

Kandadai, R M; Tien, J M

1997-01-01

We present an innovative fuzzy-neural architecture that is able to automatically generate a knowledge base, in an extractable form, for use in hierarchical knowledge-based controllers. The knowledge base is in the form of a linguistic rule base appropriate for a fuzzy inference system. First, we modify Berenji and Khedkar's (1992) GARIC architecture to enable it to automatically generate a knowledge base; a pseudosupervised learning scheme using reinforcement learning and error backpropagation is employed. Next, we further extend this architecture to a hierarchical controller that is able to generate its own knowledge base. Example applications are provided to underscore its viability.

Project-Based Learning in Programmable Logic Controller

NASA Astrophysics Data System (ADS)

Seke, F. R.; Sumilat, J. M.; Kembuan, D. R. E.; Kewas, J. C.; Muchtar, H.; Ibrahim, N.

2018-02-01

Project-based learning is a learning method that uses project activities as the core of learning and requires student creativity in completing the project. The aims of this study is to investigate the influence of project-based learning methods on students with a high level of creativity in learning the Programmable Logic Controller (PLC). This study used experimental methods with experimental class and control class consisting of 24 students, with 12 students of high creativity and 12 students of low creativity. The application of project-based learning methods into the PLC courses combined with the level of student creativity enables the students to be directly involved in the work of the PLC project which gives them experience in utilizing PLCs for the benefit of the industry. Therefore, it’s concluded that project-based learning method is one of the superior learning methods to apply on highly creative students to PLC courses. This method can be used as an effort to improve student learning outcomes and student creativity as well as to educate prospective teachers to become reliable educators in theory and practice which will be tasked to create qualified human resources candidates in order to meet future industry needs.

The New South Wales Allied Health Workplace Learning Study: barriers and enablers to learning in the workplace.

PubMed

Lloyd, Bradley; Pfeiffer, Daniella; Dominish, Jacqueline; Heading, Gaynor; Schmidt, David; McCluskey, Annie

2014-03-25

Workplace learning refers to continuing professional development that is stimulated by and occurs through participation in workplace activities. Workplace learning is essential for staff development and high quality clinical care. The purpose of this study was to explore the barriers to and enablers of workplace learning for allied health professionals within NSW Health. A qualitative study was conducted with a purposively selected maximum variation sample (n =46) including 19 managers, 19 clinicians and eight educators from 10 allied health professions. Seven semi-structured interviews and nine focus groups were audio-recorded and transcribed. The 'framework approach' was used to guide the interviews and analysis. Textual data were coded and charted using an evolving thematic framework. Key enablers of workplace learning included having access to peers, expertise and 'learning networks', protected learning time, supportive management and positive staff attitudes. The absence of these key enablers including heavy workload and insufficient staffing were important barriers to workplace learning. Attention to these barriers and enablers may help organisations to more effectively optimise allied health workplace learning. Ultimately better workplace learning may lead to improved patient, staff and organisational outcomes.

The New South Wales Allied Health Workplace Learning Study: barriers and enablers to learning in the workplace

PubMed Central

2014-01-01

Background Workplace learning refers to continuing professional development that is stimulated by and occurs through participation in workplace activities. Workplace learning is essential for staff development and high quality clinical care. The purpose of this study was to explore the barriers to and enablers of workplace learning for allied health professionals within NSW Health. Methods A qualitative study was conducted with a purposively selected maximum variation sample (n = 46) including 19 managers, 19 clinicians and eight educators from 10 allied health professions. Seven semi-structured interviews and nine focus groups were audio-recorded and transcribed. The ‘framework approach’ was used to guide the interviews and analysis. Textual data were coded and charted using an evolving thematic framework. Results Key enablers of workplace learning included having access to peers, expertise and ‘learning networks’, protected learning time, supportive management and positive staff attitudes. The absence of these key enablers including heavy workload and insufficient staffing were important barriers to workplace learning. Conclusion Attention to these barriers and enablers may help organisations to more effectively optimise allied health workplace learning. Ultimately better workplace learning may lead to improved patient, staff and organisational outcomes. PMID:24661614

Stochastic Synapses Enable Efficient Brain-Inspired Learning Machines.

PubMed

Neftci, Emre O; Pedroni, Bruno U; Joshi, Siddharth; Al-Shedivat, Maruan; Cauwenberghs, Gert

2016-01-01

Recent studies have shown that synaptic unreliability is a robust and sufficient mechanism for inducing the stochasticity observed in cortex. Here, we introduce Synaptic Sampling Machines (S2Ms), a class of neural network models that uses synaptic stochasticity as a means to Monte Carlo sampling and unsupervised learning. Similar to the original formulation of Boltzmann machines, these models can be viewed as a stochastic counterpart of Hopfield networks, but where stochasticity is induced by a random mask over the connections. Synaptic stochasticity plays the dual role of an efficient mechanism for sampling, and a regularizer during learning akin to DropConnect. A local synaptic plasticity rule implementing an event-driven form of contrastive divergence enables the learning of generative models in an on-line fashion. S2Ms perform equally well using discrete-timed artificial units (as in Hopfield networks) or continuous-timed leaky integrate and fire neurons. The learned representations are remarkably sparse and robust to reductions in bit precision and synapse pruning: removal of more than 75% of the weakest connections followed by cursory re-learning causes a negligible performance loss on benchmark classification tasks. The spiking neuron-based S2Ms outperform existing spike-based unsupervised learners, while potentially offering substantial advantages in terms of power and complexity, and are thus promising models for on-line learning in brain-inspired hardware.

Stochastic Synapses Enable Efficient Brain-Inspired Learning Machines

PubMed Central

Neftci, Emre O.; Pedroni, Bruno U.; Joshi, Siddharth; Al-Shedivat, Maruan; Cauwenberghs, Gert

2016-01-01

Recent studies have shown that synaptic unreliability is a robust and sufficient mechanism for inducing the stochasticity observed in cortex. Here, we introduce Synaptic Sampling Machines (S2Ms), a class of neural network models that uses synaptic stochasticity as a means to Monte Carlo sampling and unsupervised learning. Similar to the original formulation of Boltzmann machines, these models can be viewed as a stochastic counterpart of Hopfield networks, but where stochasticity is induced by a random mask over the connections. Synaptic stochasticity plays the dual role of an efficient mechanism for sampling, and a regularizer during learning akin to DropConnect. A local synaptic plasticity rule implementing an event-driven form of contrastive divergence enables the learning of generative models in an on-line fashion. S2Ms perform equally well using discrete-timed artificial units (as in Hopfield networks) or continuous-timed leaky integrate and fire neurons. The learned representations are remarkably sparse and robust to reductions in bit precision and synapse pruning: removal of more than 75% of the weakest connections followed by cursory re-learning causes a negligible performance loss on benchmark classification tasks. The spiking neuron-based S2Ms outperform existing spike-based unsupervised learners, while potentially offering substantial advantages in terms of power and complexity, and are thus promising models for on-line learning in brain-inspired hardware. PMID:27445650

Powered mobility intervention: understanding the position of tool use learning as part of implementing the ALP tool.

PubMed

Nilsson, Lisbeth; Durkin, Josephine

2017-10-01

To explore the knowledge necessary for adoption and implementation of the Assessment of Learning Powered mobility use (ALP) tool in different practice settings for both adults and children. To consult with a diverse population of professionals working with adults and children, in different countries and various settings; who were learning about or using the ALP tool, as part of exploring and implementing research findings. Classical grounded theory with a rigorous comparative analysis of data from informants together with reflections on our own rich experiences of powered mobility practice and comparisons with the literature. A core category learning tool use and a new theory of cognizing tool use, with its interdependent properties: motivation, confidence, permissiveness, attentiveness and co-construction has emerged which explains in greater depth what enables the application of the ALP tool. The scientific knowledge base on tool use learning and the new theory conveys the information necessary for practitioner's cognizing how to apply the learning approach of the ALP tool in order to enable tool use learning through powered mobility practice as a therapeutic intervention in its own right. This opens up the possibility for more children and adults to have access to learning through powered mobility practice. Implications for rehabilitation Tool use learning through powered mobility practice is a therapeutic intervention in its own right. Powered mobility practice can be used as a rehabilitation tool with individuals who may not need to become powered wheelchair users. Motivation, confidence, permissiveness, attentiveness and co-construction are key properties for enabling the application of the learning approach of the ALP tool. Labelling and the use of language, together with honing observational skills through viewing video footage, are key to developing successful learning partnerships.

An assessment of implementation of Community-Oriented Primary Care in Kenyan family medicine postgraduate medical education programmes

PubMed Central

Shabani, Jacob; Taché, Stephanie; Mohamoud, Gulnaz; Mahoney, Megan

2016-01-01

Background and objectives Family medicine postgraduate programmes in Kenya are examining the benefits of Community-Oriented Primary Care (COPC) curriculum, as a method to train residents in population-based approaches to health care delivery. Whilst COPC is an established part of family medicine training in the United States, little is known about its application in Kenya. We sought to conduct a qualitative study to explore the development and implementation of COPC curriculum in the first two family medicine postgraduate programmes in Kenya. Method Semi-structured interviews of COPC educators, practitioners, and academic stakeholders and focus groups of postgraduate students were conducted with COPC educators, practitioners and academic stakeholders in two family medicine postgraduate programmes in Kenya. Discussions were transcribed, inductively coded and thematically analysed. Results Two focus groups with eight family medicine postgraduate students and interviews with five faculty members at two universities were conducted. Two broad themes emerged from the analysis: expected learning outcomes and important community-based enablers. Three learning outcomes were (1) making a community diagnosis, (2) understanding social determinants of health and (3) training in participatory research. Three community-based enablers for sustainability of COPC were (1) partnerships with community health workers, (2) community empowerment and engagement and (3) institutional financial support. Conclusions Our findings illustrate the expected learning outcomes and important community-based enablers associated with the successful implementation of COPC projects in Kenya and will help to inform future curriculum development in Kenya. PMID:28155322

Exploring educational needs and design aspects of internet-enabled patient education for persons with diabetes: a qualitative interview study.

PubMed

Jafari, Javad; Karimi Moonaghi, Hosein; Zary, Nabil; Masiello, Italo

2016-10-31

The objective of this article is to explore the educational needs and design aspects of personalised internet-enabled education for patients with diabetes in Iran. Data were collected using semistructured interviews and then qualitatively analysed using inductive content analysis. 9 patients with type 2 diabetes were included. Inclusion criteria were access to and knowledge on how to use the internet. The selection ensured representation based on gender, age, occupation and educational background. The sample population was patients with diabetes who were admitted to an outpatient diabetes clinic in Mashhad, a large city of Iran with about 3 million inhabitants. 4 core categories emerged from the data: (1) seeking knowledge about diabetes, including specific knowledge acquisition, patient's interactions and learning requirements; (2) teaching and learning, including using different teaching methods and different ways to learn about the disease; (3) facilitators, including internet and mobile phone use to learn about the disease; and (4) barriers, including lack of internet access, uncertainty of access to the internet and lack of website in the local language and also perceived cultural barriers, such as patients' fears of the internet, lack of time and awareness. This study provides a better understanding of the patient's educational expectations and technical needs in relation to internet-enabled education. This knowledge will inform the development of functional mock-ups in the next research phase using a design-based research approach in order to design internet-enabled patient education for self-management of diabetes. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/.

Visually guided gait modifications for stepping over an obstacle: a bio-inspired approach.

PubMed

Silva, Pedro; Matos, Vitor; Santos, Cristina P

2014-02-01

There is an increasing interest in conceiving robotic systems that are able to move and act in an unstructured and not predefined environment, for which autonomy and adaptability are crucial features. In nature, animals are autonomous biological systems, which often serve as bio-inspiration models, not only for their physical and mechanical properties, but also their control structures that enable adaptability and autonomy-for which learning is (at least) partially responsible. This work proposes a system which seeks to enable a quadruped robot to online learn to detect and to avoid stumbling on an obstacle in its path. The detection relies in a forward internal model that estimates the robot's perceptive information by exploring the locomotion repetitive nature. The system adapts the locomotion in order to place the robot optimally before attempting to step over the obstacle, avoiding any stumbling. Locomotion adaptation is achieved by changing control parameters of a central pattern generator (CPG)-based locomotion controller. The mechanism learns the necessary alterations to the stride length in order to adapt the locomotion by changing the required CPG parameter. Both learning tasks occur online and together define a sensorimotor map, which enables the robot to learn to step over the obstacle in its path. Simulation results show the feasibility of the proposed approach.

Supporting online learning with games

NASA Astrophysics Data System (ADS)

Yao, JingTao; Kim, DongWon; Herbert, Joseph P.

2007-04-01

This paper presents a study on Web-based learning support systems that is enhanced with two major subsystems: a Web-based learning game and a learning-oriented Web search. The Internet and theWeb may be considered as a first resource for students seeking for information and help. However, much of the information available online is not related to the course contents or is wrong in the worse case. The search subsystem aims to provide students with precise, relative and adaptable documents about certain courses or classes. Therefore, students do not have to spend time to verify the relationship of documents to the class. The learning game subsystem stimulates students to study, enables students to review their studies and to perform self-evaluation through a Web-based learning game such as a treasure hunt game. During the challenge and entertaining learning and evaluation process, it is hoped that students will eventually understand and master the course concepts easily. The goal of developing such a system is to provide students with an efficient and effective learning environment.

Investigating the Educational Value of Social Learning Networks: A Quantitative Analysis

ERIC Educational Resources Information Center

Dafoulas, Georgios; Shokri, Azam

2016-01-01

Purpose: The emergence of Education 2.0 enabled technology-enhanced learning, necessitating new pedagogical approaches, while e-learning has evolved into an instrumental pedagogy of collaboration through affordances of social media. Social learning networks and ubiquitous learning enabled individual and group learning through social engagement and…

Perceptual Learning Improves Adult Amblyopic Vision Through Rule-Based Cognitive Compensation

PubMed Central

Zhang, Jun-Yun; Cong, Lin-Juan; Klein, Stanley A.; Levi, Dennis M.; Yu, Cong

2014-01-01

Purpose. We investigated whether perceptual learning in adults with amblyopia could be enabled to transfer completely to an orthogonal orientation, which would suggest that amblyopic perceptual learning results mainly from high-level cognitive compensation, rather than plasticity in the amblyopic early visual brain. Methods. Nineteen adults (mean age = 22.5 years) with anisometropic and/or strabismic amblyopia were trained following a training-plus-exposure (TPE) protocol. The amblyopic eyes practiced contrast, orientation, or Vernier discrimination at one orientation for six to eight sessions. Then the amblyopic or nonamblyopic eyes were exposed to an orthogonal orientation via practicing an irrelevant task. Training was first performed at a lower spatial frequency (SF), then at a higher SF near the cutoff frequency of the amblyopic eye. Results. Perceptual learning was initially orientation specific. However, after exposure to the orthogonal orientation, learning transferred to an orthogonal orientation completely. Reversing the exposure and training order failed to produce transfer. Initial lower SF training led to broad improvement of contrast sensitivity, and later higher SF training led to more specific improvement at high SFs. Training improved visual acuity by 1.5 to 1.6 lines (P < 0.001) in the amblyopic eyes with computerized tests and a clinical E acuity chart. It also improved stereoacuity by 53% (P < 0.001). Conclusions. The complete transfer of learning suggests that perceptual learning in amblyopia may reflect high-level learning of rules for performing a visual discrimination task. These rules are applicable to new orientations to enable learning transfer. Therefore, perceptual learning may improve amblyopic vision mainly through rule-based cognitive compensation. PMID:24550359

Perceptual learning improves adult amblyopic vision through rule-based cognitive compensation.

PubMed

Zhang, Jun-Yun; Cong, Lin-Juan; Klein, Stanley A; Levi, Dennis M; Yu, Cong

2014-04-01

We investigated whether perceptual learning in adults with amblyopia could be enabled to transfer completely to an orthogonal orientation, which would suggest that amblyopic perceptual learning results mainly from high-level cognitive compensation, rather than plasticity in the amblyopic early visual brain. Nineteen adults (mean age = 22.5 years) with anisometropic and/or strabismic amblyopia were trained following a training-plus-exposure (TPE) protocol. The amblyopic eyes practiced contrast, orientation, or Vernier discrimination at one orientation for six to eight sessions. Then the amblyopic or nonamblyopic eyes were exposed to an orthogonal orientation via practicing an irrelevant task. Training was first performed at a lower spatial frequency (SF), then at a higher SF near the cutoff frequency of the amblyopic eye. Perceptual learning was initially orientation specific. However, after exposure to the orthogonal orientation, learning transferred to an orthogonal orientation completely. Reversing the exposure and training order failed to produce transfer. Initial lower SF training led to broad improvement of contrast sensitivity, and later higher SF training led to more specific improvement at high SFs. Training improved visual acuity by 1.5 to 1.6 lines (P < 0.001) in the amblyopic eyes with computerized tests and a clinical E acuity chart. It also improved stereoacuity by 53% (P < 0.001). The complete transfer of learning suggests that perceptual learning in amblyopia may reflect high-level learning of rules for performing a visual discrimination task. These rules are applicable to new orientations to enable learning transfer. Therefore, perceptual learning may improve amblyopic vision mainly through rule-based cognitive compensation.

Making and Missing Connections: Exploring Twitter Chats as a Learning Tool in a Preservice Teacher Education Course

ERIC Educational Resources Information Center

Hsieh, Betina

2017-01-01

Research on social media use in education indicates that network-based connections can enable powerful teacher learning opportunities. Using a connectivist theoretical framework (Siemens, 2005), this study focuses on secondary teacher candidates (TCs) who completed, archived, and reflected upon 1-hour Twitter chats (N = 39) to explore the promise…

Play or Learn: European-American and Chinese Kindergartners' Perceptions about the Conflict

ERIC Educational Resources Information Center

Li, Jin

2016-01-01

Background: Kindergarten is the age at which children's future time perspective emerges. This capacity enables them to form goals based on past and ongoing experiences and project themselves in the future. This development may play an important role in guiding children in self-regulated learning. When faced with the conflict between their need to…

Mind the Gap: Enabling Online Faculty and Instructional Designers in Mapping New Models for Quality Online Courses

ERIC Educational Resources Information Center

Scoppio, Grazia; Luyt, Ilka

2017-01-01

Distance education has provided the foundation for new generations of learning, including courses delivered through various web-based educational technologies, also referred to as online learning. Many post-secondary institutions face the challenge of creating processes and systems to support instructors who are required to design, deliver, and…

Connecting Entrepreneurial and Action Learning in Student-Initiated New Business Ventures: The Case of SPEED

ERIC Educational Resources Information Center

Rae, David

2009-01-01

The Student Placements for Entrepreneurs in Education (SPEED) project ran in 12 higher education institutes in the UK between 2006 and 2008, providing an innovative, action learning-based route that enabled students to start new business ventures as self-started work experience, and has influenced successor programmes. The paper addresses three…

Whole Brain Learning: The Fine Arts with Students at Risk

ERIC Educational Resources Information Center

Respress, Trinetia; Lutfi, Ghazwan

2006-01-01

Schools are searching for more effective strategies that will enable all students to thrive and succeed. Evidence indicates that the fine arts can provide a unique avenue for reaching challenging students with principles of brain-based learning. This article describes HEARTS, an after-school fine arts program which taps and develops the talents of…

The Sense-It App: A Smartphone Sensor Toolkit for Citizen Inquiry Learning

ERIC Educational Resources Information Center

Sharples, Mike; Aristeidou, Maria; Villasclaras-Fernández, Eloy; Herodotou, Christothea; Scanlon, Eileen

2017-01-01

The authors describe the design and formative evaluation of a sensor toolkit for Android smartphones and tablets that supports inquiry-based science learning. The Sense-it app enables a user to access all the motion, environmental and position sensors available on a device, linking these to a website for shared crowd-sourced investigations. The…

Collaborative Communication Technologies and Learning in College Courses: Which Are Used, for What Purposes, and to What Ends?

ERIC Educational Resources Information Center

Waldeck, Jennifer H.; Dougherty, Kathleen

2012-01-01

Web-based communication technologies that enable collaboration and sharing of information among users - such as podcasts, wikis, blogs, message boards, and others--are used commonly in contemporary organizations to increase and manage employee learning. In this investigation, we identify which of these collaborative communication technologies are…

The Cost of Performance? Students' Learning about Acting as Change Agents in Their Schools

ERIC Educational Resources Information Center

Kehoe, Ian

2015-01-01

This paper explores how performance culture could affect students' learning about, and disposition towards, acting as organisational change agents in schools. This is based on findings from an initiative aimed to enable students to experience acting as change agents on an aspect of the school's culture that concerned them. The initiative was…

Probability Modeling and Thinking: What Can We Learn from Practice?

ERIC Educational Resources Information Center

Pfannkuch, Maxine; Budgett, Stephanie; Fewster, Rachel; Fitch, Marie; Pattenwise, Simeon; Wild, Chris; Ziedins, Ilze

2016-01-01

Because new learning technologies are enabling students to build and explore probability models, we believe that there is a need to determine the big enduring ideas that underpin probabilistic thinking and modeling. By uncovering the elements of the thinking modes of expert users of probability models we aim to provide a base for the setting of…

Talk with Me: Student Behaviours and Pronoun Use as Indicators of Discourse Health across Facilitation Methods

ERIC Educational Resources Information Center

Epp, Carrie Demmans; Phirangee, Krystle; Hewitt, Jim

2017-01-01

Identifying which online behaviours and interactions are associated with student perceptions of being supported will enable a deeper understanding of how those activities contribute to learning experiences. Student language is one aspect of their interaction in need of greater exploration within discourse-based online learning environments. As a…

The Problem of Time: Enabling Student To Make Long-Term Commitments to Community-based Learning.

ERIC Educational Resources Information Center

Wallace, John

2000-01-01

Describes a partnership between the Jane Addams School for Democracy in Minnesota and two institutions of higher education to address the problems of rapid student turnover in service learning. Promising strategies have two dimensions: to the extent possible lower academic and financial barriers to students' participation, and foster a community…

Brave New (Virtual) World: Transforming Language Learning into Cultural Studies through Online Learning Environments (MOOs).

ERIC Educational Resources Information Center

Schneider, Jeffrey; von der Emde, Silke

2000-01-01

Describes an online approach through using a MOO, a computer program that allows students to share text-based virtual reality. The goal of the program was to build an environment that both enabled practice in the target language and sustained reflection on the processes of cultural production and reception. (Author/VWL)

How Does Technology-Enabled Active Learning Affect Undergraduate Students' Understanding of Electromagnetism Concepts?

ERIC Educational Resources Information Center

Dori, Yehudit Judy; Belcher, John

2005-01-01

Educational technology supports meaningful learning and enables the presentation of spatial and dynamic images, which portray relationships among complex concepts. The Technology-Enabled Active Learning (TEAL) Project at the Massachusetts Institute of Technology (MIT) involves media-rich software for simulation and visualization in freshman…

Developing Deep Learning Applications for Life Science and Pharma Industry.

PubMed

Siegismund, Daniel; Tolkachev, Vasily; Heyse, Stephan; Sick, Beate; Duerr, Oliver; Steigele, Stephan

2018-06-01

Deep Learning has boosted artificial intelligence over the past 5 years and is seen now as one of the major technological innovation areas, predicted to replace lots of repetitive, but complex tasks of human labor within the next decade. It is also expected to be 'game changing' for research activities in pharma and life sciences, where large sets of similar yet complex data samples are systematically analyzed. Deep learning is currently conquering formerly expert domains especially in areas requiring perception, previously not amenable to standard machine learning. A typical example is the automated analysis of images which are typically produced en-masse in many domains, e. g., in high-content screening or digital pathology. Deep learning enables to create competitive applications in so-far defined core domains of 'human intelligence'. Applications of artificial intelligence have been enabled in recent years by (i) the massive availability of data samples, collected in pharma driven drug programs (='big data') as well as (ii) deep learning algorithmic advancements and (iii) increase in compute power. Such applications are based on software frameworks with specific strengths and weaknesses. Here, we introduce typical applications and underlying frameworks for deep learning with a set of practical criteria for developing production ready solutions in life science and pharma research. Based on our own experience in successfully developing deep learning applications we provide suggestions and a baseline for selecting the most suited frameworks for a future-proof and cost-effective development. © Georg Thieme Verlag KG Stuttgart · New York.

Using a Wiki to Enhance Cooperative Learning in a Real Analysis Course

ERIC Educational Resources Information Center

Peterson, Elisha

2009-01-01

This article describes how the author used a wiki-based website in a real analysis course, and assesses its effectiveness. The wiki was used to post course materials, maintain a forum, enable students to write collaborative projects, and enable students to develop a glossary of important terms. The wiki proved to be very successful; it facilitated…

The Virtual Learning Commons (VLC): Enabling Co-Innovation Across Disciplines

NASA Astrophysics Data System (ADS)

Pennington, D. D.; Gandara, A.; Del Rio, N.

2014-12-01

A key challenge for scientists addressing grand-challenge problems is identifying, understanding, and integrating potentially relevant methods, models and tools that that are rapidly evolving in the informatics community. Such tools are essential for effectively integrating data and models in complex research projects, yet it is often difficult to know what tools are available and it is not easy to understand or evaluate how they might be used in a given research context. The goal of the National Science Foundation-funded Virtual Learning Commons (VLC) is to improve awareness and understanding of emerging methodologies and technologies, facilitate individual and group evaluation of these, and trace the impact of innovations within and across teams, disciplines, and communities. The VLC is a Web-based social bookmarking site designed specifically to support knowledge exchange in research communities. It is founded on well-developed models of technology adoption, diffusion of innovation, and experiential learning. The VLC makes use of Web 2.0 (Social Web) and Web 3.0 (Semantic Web) approaches. Semantic Web approaches enable discovery of potentially relevant methods, models, and tools, while Social Web approaches enable collaborative learning about their function. The VLC is under development and the first release is expected Fall 2014.

Injecting Inquiry-Oriented Modules into Calculus

ERIC Educational Resources Information Center

Shelton, Therese

2017-01-01

Implementing inquiry-based modules within a course can be effective and enable instructor experimentation, without completely transforming an entire course. For instructors new to inquiry-based learning (IBL), we state hallmarks of the practice and point out the merits of strong IBL communities. An inquiry-based approach may alleviate some current…

Factors that influence acceptance of web-based e-learning systems for the in-service education of junior high school teachers in Taiwan.

PubMed

Chen, Hong-Ren; Tseng, Hsiao-Fen

2012-08-01

Web-based e-learning is not restricted by time or place and can provide teachers with a learning environment that is flexible and convenient, enabling them to efficiently learn, quickly develop their professional expertise, and advance professionally. Many research reports on web-based e-learning have neglected the role of the teacher's perspective in the acceptance of using web-based e-learning systems for in-service education. We distributed questionnaires to 402 junior high school teachers in central Taiwan. This study used the Technology Acceptance Model (TAM) as our theoretical foundation and employed the Structure Equation Model (SEM) to examine factors that influenced intentions to use in-service training conducted through web-based e-learning. The results showed that motivation to use and Internet self-efficacy were significantly positively associated with behavioral intentions regarding the use of web-based e-learning for in-service training through the factors of perceived usefulness and perceived ease of use. The factor of computer anxiety had a significantly negative effect on behavioral intentions toward web-based e-learning in-service training through the factor of perceived ease of use. Perceived usefulness and motivation to use were the primary reasons for the acceptance by junior high school teachers of web-based e-learning systems for in-service training. Copyright © 2011 Elsevier Ltd. All rights reserved.

Helping Children Actively Design How They Learn about Health and Wellness: The Institute of Play Tests an Online Social Networking Tool within a Game-Based School Curriculum. Program Results Report

ERIC Educational Resources Information Center

Parker, Susan

2011-01-01

Youth rarely receive opportunities to craft their own strategies around health and wellness within contexts relevant to them. From 2009 to 2010, the Institute of Play, based in New York, developed Being Me, a social networking site, to enable sixth-graders at the Quest to Learn public school to explore, discover and document a range of ideas…

Exploring the Engagement Effects of Visual Programming Language for Data Structure Courses

ERIC Educational Resources Information Center

Chang, Chih-Kai; Yang, Ya-Fei; Tsai, Yu-Tzu

2017-01-01

Previous research indicates that understanding the state of learning motivation enables researchers to deeply understand students' learning processes. Studies have shown that visual programming languages use graphical code, enabling learners to learn effectively, improve learning effectiveness, increase learning fun, and offering various other…

Sparse Regression Based Structure Learning of Stochastic Reaction Networks from Single Cell Snapshot Time Series.

PubMed

Klimovskaia, Anna; Ganscha, Stefan; Claassen, Manfred

2016-12-01

Stochastic chemical reaction networks constitute a model class to quantitatively describe dynamics and cell-to-cell variability in biological systems. The topology of these networks typically is only partially characterized due to experimental limitations. Current approaches for refining network topology are based on the explicit enumeration of alternative topologies and are therefore restricted to small problem instances with almost complete knowledge. We propose the reactionet lasso, a computational procedure that derives a stepwise sparse regression approach on the basis of the Chemical Master Equation, enabling large-scale structure learning for reaction networks by implicitly accounting for billions of topology variants. We have assessed the structure learning capabilities of the reactionet lasso on synthetic data for the complete TRAIL induced apoptosis signaling cascade comprising 70 reactions. We find that the reactionet lasso is able to efficiently recover the structure of these reaction systems, ab initio, with high sensitivity and specificity. With only < 1% false discoveries, the reactionet lasso is able to recover 45% of all true reactions ab initio among > 6000 possible reactions and over 102000 network topologies. In conjunction with information rich single cell technologies such as single cell RNA sequencing or mass cytometry, the reactionet lasso will enable large-scale structure learning, particularly in areas with partial network structure knowledge, such as cancer biology, and thereby enable the detection of pathological alterations of reaction networks. We provide software to allow for wide applicability of the reactionet lasso.

Reflection-Based Learning for Professional Ethical Formation.

PubMed

Branch, William T; George, Maura

2017-04-01

One way practitioners learn ethics is by reflecting on experience. They may reflect in the moment (reflection-in-action) or afterwards (reflection-on-action). We illustrate how a teaching clinician may transform relationships with patients and teach person-centered care through reflective learning. We discuss reflective learning pedagogies and present two case examples of our preferred method, guided group reflection using narratives. This method fosters moral development alongside professional identity formation in students and advanced learners. Our method for reflective learning addresses and enables processing of the most pressing ethical issues that learners encounter in practice. © 2017 American Medical Association. All Rights Reserved.

The application of machine learning in multi sensor data fusion for activity recognition in mobile device space

NASA Astrophysics Data System (ADS)

Marhoubi, Asmaa H.; Saravi, Sara; Edirisinghe, Eran A.

2015-05-01

The present generation of mobile handheld devices comes equipped with a large number of sensors. The key sensors include the Ambient Light Sensor, Proximity Sensor, Gyroscope, Compass and the Accelerometer. Many mobile applications are driven based on the readings obtained from either one or two of these sensors. However the presence of multiple-sensors will enable the determination of more detailed activities that are carried out by the user of a mobile device, thus enabling smarter mobile applications to be developed that responds more appropriately to user behavior and device usage. In the proposed research we use recent advances in machine learning to fuse together the data obtained from all key sensors of a mobile device. We investigate the possible use of single and ensemble classifier based approaches to identify a mobile device's behavior in the space it is present. Feature selection algorithms are used to remove non-discriminant features that often lead to poor classifier performance. As the sensor readings are noisy and include a significant proportion of missing values and outliers, we use machine learning based approaches to clean the raw data obtained from the sensors, before use. Based on selected practical case studies, we demonstrate the ability to accurately recognize device behavior based on multi-sensor data fusion.

Why internet-based education?

PubMed Central

Gernsbacher, Morton Ann

2015-01-01

This essay illustrates five ways that Internet-based higher education can capitalize on fundamental principles of learning. Internet-based education can enable better mastery through distributed (shorter, more frequent) practice rather than massed (longer, less frequent) practice; it can optimize performance because it allows students to learn at their peak time of their day; it can deepen memory because it requires cheat-proof assignments and tests; it can promote critical thinking because it necessitates intellectual winnowing and sifting; and it can enhance writing skills by requiring students to write frequently and for a broad audience. PMID:25653625

Why internet-based education?

PubMed

Gernsbacher, Morton Ann

2014-01-01

This essay illustrates five ways that Internet-based higher education can capitalize on fundamental principles of learning. Internet-based education can enable better mastery through distributed (shorter, more frequent) practice rather than massed (longer, less frequent) practice; it can optimize performance because it allows students to learn at their peak time of their day; it can deepen memory because it requires cheat-proof assignments and tests; it can promote critical thinking because it necessitates intellectual winnowing and sifting; and it can enhance writing skills by requiring students to write frequently and for a broad audience.

A Neurocomputational Model of Goal-Directed Navigation in Insect-Inspired Artificial Agents

PubMed Central

Goldschmidt, Dennis; Manoonpong, Poramate; Dasgupta, Sakyasingha

2017-01-01

Despite their small size, insect brains are able to produce robust and efficient navigation in complex environments. Specifically in social insects, such as ants and bees, these navigational capabilities are guided by orientation directing vectors generated by a process called path integration. During this process, they integrate compass and odometric cues to estimate their current location as a vector, called the home vector for guiding them back home on a straight path. They further acquire and retrieve path integration-based vector memories globally to the nest or based on visual landmarks. Although existing computational models reproduced similar behaviors, a neurocomputational model of vector navigation including the acquisition of vector representations has not been described before. Here we present a model of neural mechanisms in a modular closed-loop control—enabling vector navigation in artificial agents. The model consists of a path integration mechanism, reward-modulated global learning, random search, and action selection. The path integration mechanism integrates compass and odometric cues to compute a vectorial representation of the agent's current location as neural activity patterns in circular arrays. A reward-modulated learning rule enables the acquisition of vector memories by associating the local food reward with the path integration state. A motor output is computed based on the combination of vector memories and random exploration. In simulation, we show that the neural mechanisms enable robust homing and localization, even in the presence of external sensory noise. The proposed learning rules lead to goal-directed navigation and route formation performed under realistic conditions. Consequently, we provide a novel approach for vector learning and navigation in a simulated, situated agent linking behavioral observations to their possible underlying neural substrates. PMID:28446872

A Neurocomputational Model of Goal-Directed Navigation in Insect-Inspired Artificial Agents.

PubMed

Goldschmidt, Dennis; Manoonpong, Poramate; Dasgupta, Sakyasingha

2017-01-01

Despite their small size, insect brains are able to produce robust and efficient navigation in complex environments. Specifically in social insects, such as ants and bees, these navigational capabilities are guided by orientation directing vectors generated by a process called path integration. During this process, they integrate compass and odometric cues to estimate their current location as a vector, called the home vector for guiding them back home on a straight path. They further acquire and retrieve path integration-based vector memories globally to the nest or based on visual landmarks. Although existing computational models reproduced similar behaviors, a neurocomputational model of vector navigation including the acquisition of vector representations has not been described before. Here we present a model of neural mechanisms in a modular closed-loop control-enabling vector navigation in artificial agents. The model consists of a path integration mechanism, reward-modulated global learning, random search, and action selection. The path integration mechanism integrates compass and odometric cues to compute a vectorial representation of the agent's current location as neural activity patterns in circular arrays. A reward-modulated learning rule enables the acquisition of vector memories by associating the local food reward with the path integration state. A motor output is computed based on the combination of vector memories and random exploration. In simulation, we show that the neural mechanisms enable robust homing and localization, even in the presence of external sensory noise. The proposed learning rules lead to goal-directed navigation and route formation performed under realistic conditions. Consequently, we provide a novel approach for vector learning and navigation in a simulated, situated agent linking behavioral observations to their possible underlying neural substrates.

A Social Learning Management System Supporting Feedback for Incorrect Answers Based on Social Network Services

ERIC Educational Resources Information Center

Son, Jiseong; Kim, Jeong-Dong; Na, Hong-Seok; Baik, Doo-Kwon

2016-01-01

In this research, we propose a Social Learning Management System (SLMS) enabling real-time and reliable feedback for incorrect answers by learners using a social network service (SNS). The proposed system increases the accuracy of learners' assessment results by using a confidence scale and a variety of social feedback that is created and shared…

Technologies and Reformed-Based Science Instruction: The Examination of a Professional Development Model Focused on Supporting Science Teaching and Learning with Technologies

ERIC Educational Resources Information Center

Campbell, Todd; Longhurst, Max L.; Wang, Shiang-Kwei; Hsu, Hui-Yin; Coster, Dan C.

2015-01-01

While access to computers, other technologies, and cyber-enabled resources that could be leveraged for enhancing student learning in science is increasing, generally it has been found that teachers use technology more for administrative purposes or to support traditional instruction. This use of technology, especially to support traditional…

Enabling the Journey from Experienced Practitioner to Para-Professional: Using Reflective Dialogue in Action Learning Triads

ERIC Educational Resources Information Center

Graves, Susan; Jones, Marion

2008-01-01

This article explores whether using reflective dialogue in action learning sets on a foundation degree (FD) in educational support can develop the capacity for reflective practice of the students. Developing a reflective stance in relation to professional practice is a central theme of the programme, which is reinforced by the work-based learning…

Using Comparative Genomics for Inquiry-Based Learning to Dissect Virulence of "Escherichia coli" O157:H7 and "Yersinia pestis"

ERIC Educational Resources Information Center

Baumler, David J.; Banta, Lois M.; Hung, Kai F.; Schwarz, Jodi A.; Cabot, Eric L.; Glasner, Jeremy D.; Perna, Nicole T.

2012-01-01

Genomics and bioinformatics are topics of increasing interest in undergraduate biological science curricula. Many existing exercises focus on gene annotation and analysis of a single genome. In this paper, we present two educational modules designed to enable students to learn and apply fundamental concepts in comparative genomics using examples…

Immersive, Interactive, Web-Enabled Computer Simulation as a Trigger for Learning: The next Generation of Problem-Based Learning in Educational Leadership

ERIC Educational Resources Information Center

Mann, Dale; Reardon, R. M.; Becker, J. D.; Shakeshaft, C.; Bacon, Nicholas

2011-01-01

This paper describes the use of advanced computer technology in an innovative educational leadership program. This program integrates full-motion video scenarios that simulate the leadership challenges typically faced by principals over the course of a full school year. These scenarios require decisions that are then coupled to consequences and…

What a Tangible Digital Installation for Museums Can Offer to Autistic Children and Their Teachers

ERIC Educational Resources Information Center

Marchetti, Emanuela; Valente, Andrea

2016-01-01

This study is a cooperation between the authors and a teacher who works with pupils affected by autism spectrum disorders (9-12 years old) in a primary Danish school. The aim was assess the benefits of game-based learning with respect to teachers' main challenges: facilitating the discussion of curricular subjects and enabling learning through…

Approximating the Practice of Mathematics Teaching: What Learning Can Web-Based, Multimedia Storyboarding Software Enable?

ERIC Educational Resources Information Center

Herbst, Patricio; Chieu, Vu-Minh; Rougée, Annick

2014-01-01

This paper builds on Grossman's notion of approximations of practice as scaled-down opportunities for preservice teachers to learn to teach by doing. The authors propose the use of media rich, collaborative web-authoring tools for preservice teachers to create, complete, or edit scenarios in which they practice particular activities of teaching,…

Personalised and Self Regulated Learning in the Web 2.0 Era: International Exemplars of Innovative Pedagogy Using Social Software

ERIC Educational Resources Information Center

McLoughlin, Catherine; Lee, Mark J. W.

2010-01-01

Research findings in recent years provide compelling evidence of the importance of encouraging student control over the learning process as a whole. The socially based tools and technologies of the Web 2.0 movement are capable of supporting informal conversation, reflexive dialogue and collaborative content generation, enabling access to a wide…

CALM: Complex Adaptive System (CAS)-Based Decision Support for Enabling Organizational Change

NASA Astrophysics Data System (ADS)

Adler, Richard M.; Koehn, David J.

Guiding organizations through transformational changes such as restructuring or adopting new technologies is a daunting task. Such changes generate workforce uncertainty, fear, and resistance, reducing morale, focus and performance. Conventional project management techniques fail to mitigate these disruptive effects, because social and individual changes are non-mechanistic, organic phenomena. CALM (for Change, Adaptation, Learning Model) is an innovative decision support system for enabling change based on CAS principles. CALM provides a low risk method for validating and refining change strategies that combines scenario planning techniques with "what-if" behavioral simulation. In essence, CALM "test drives" change strategies before rolling them out, allowing organizations to practice and learn from virtual rather than actual mistakes. This paper describes the CALM modeling methodology, including our metrics for measuring organizational readiness to respond to change and other major CALM scenario elements: prospective change strategies; alternate futures; and key situational dynamics. We then describe CALM's simulation engine for projecting scenario outcomes and its associated analytics. CALM's simulator unifies diverse behavioral simulation paradigms including: adaptive agents; system dynamics; Monte Carlo; event- and process-based techniques. CALM's embodiment of CAS dynamics helps organizations reduce risk and improve confidence and consistency in critical strategies for enabling transformations.

Exploring Students' Progression in an Inquiry Science Curriculum Enabled by Mobile Learning

ERIC Educational Resources Information Center

Looi, Chee-Kit; Sun, Daner; Xie, Wenting

2015-01-01

The research literature reports on designs of ubiquitous and seamless learning environments enabled by the integration of mobile technology into learning. However, the lack of good pedagogical designs that provide for sustainability and the inadequate investigation of learning outcomes remain major gaps in the current studies on mobile learning.…

Learning decision making through serious games.

PubMed

Kaczmarczyk, Joseph; Davidson, Richard; Bryden, Daniele; Haselden, Stephen; Vivekananda-Schmidt, Pirashanthie

2016-08-01

In Serious Games (SGs), educational content is integrated into a game so that learning is intrinsic to play, thereby motivating players and improving engagement. SGs enable learning by developing situated understanding in users and by enabling players to practise safe clinical decision making; however, the use of SGs in medical education is not well established. We aimed to design a game-based resource to teach clinical decision making to medical students, and to assess user perceptions of educational value, usability and the role for SGs in undergraduate training. An SG focusing on the acute management of tachyarrhythmias was developed. Third- and fourth-year medical students at the medical school were invited to use and evaluate the game using questionnaires and focus groups. We invited 479 students, and 281 accessed the game. Only 47 students completed the questionnaire and 31 students participated in the focus groups. The data suggest that SGs: (1) can allow students to rehearse taking responsibility for decision making; (2) are fun and motivational; (3) have a role in revising and consolidating knowledge; and (4) could be formative assessment tools. Serious Games enable learning by developing situated understanding in users SGs could be employed as adjuvant learning resources to develop students' skills and knowledge. Further empirical research is required to assess the added value of games in medical education. © 2015 John Wiley & Sons Ltd.

Promoting higher order thinking skills using inquiry-based learning

NASA Astrophysics Data System (ADS)

Madhuri, G. V.; S. S. N Kantamreddi, V.; Goteti, L. N. S. Prakash

2012-05-01

Active learning pedagogies play an important role in enhancing higher order cognitive skills among the student community. In this work, a laboratory course for first year engineering chemistry is designed and executed using an inquiry-based learning pedagogical approach. The goal of this module is to promote higher order thinking skills in chemistry. Laboratory exercises are designed based on Bloom's taxonomy and a just-in-time facilitation approach is used. A pre-laboratory discussion outlining the theory of the experiment and its relevance is carried out to enable the students to analyse real-life problems. The performance of the students is assessed based on their ability to perform the experiment, design new experiments and correlate practical utility of the course module with real life. The novelty of the present approach lies in the fact that the learning outcomes of the existing experiments are achieved through establishing a relationship with real-world problems.

Transforming paper-based assessment forms to a digital format: Exemplified by the Housing Enabler prototype app.

PubMed

Svarre, Tanja; Lunn, Tine Bieber Kirkegaard; Helle, Tina

2017-11-01

The aim of this paper is to provide the reader with an overall impression of the stepwise user-centred design approach including the specific methods used and lessons learned when transforming paper-based assessment forms into a prototype app, taking the Housing Enabler as an example. Four design iterations were performed, building on a domain study, workshops, expert evaluation and controlled and realistic usability tests. The user-centred design process involved purposefully selected participants with different Housing Enabler knowledge and housing adaptation experience. The design iterations resulted in the development of a Housing Enabler prototype app. The prototype app has several features and options that are new compared with the original paper-based Housing Enabler assessment form. These new features include a user friendly overview of the assessment form; easy navigation by swiping back and forth between items; onsite data analysis; and ranking of the accessibility score, photo documentation and a data export facility. Based on the presented stepwise approach, a high-fidelity Housing Enabler prototype app was successfully developed. The development process has emphasized the importance of combining design participants' knowledge and experiences, and has shown that methods should seem relevant to participants to increase their engagement.

The New School-Based Learning (SBL) to Work-Based Learning (WBL) Transition Module: A Practical Implementation in the Technical and Vocational Education (TVE) System in Bahrain

NASA Astrophysics Data System (ADS)

Alseddiqi, M.; Mishra, R.; Pislaru, C.

2012-05-01

This paper diagnoses the implementation of a new engineering course entitled 'school-based learning (SBL) to work-based learning (WBL) transition module' in the Bahrain Technical and Vocational Education (TVE) learning environment. The module was designed to incorporate an innovative education and training approach with a variety of learning activities that are included in various learning case studies. Each case study was based on with learning objectives coupled with desired learning outcomes. The TVE students should meet the desired outcomes after the completion of the learning activities and assessments. To help with the implementation phase of the new module, the authors developed guidelines for each case study. The guidelines incorporated learning activities to be delivered in an integrated learning environment. The skills to be transferred were related to cognitive, affective, and technical proficiencies. The guidelines included structured instructions to help students during the learning process. In addition, technology was introduced to improve learning effectiveness and flexibility. The guidelines include learning indicators for each learning activity and were based on their interrelation with competencies to be achieved with respect to modern industrial requirements. Each learning indicator was then correlated against the type of learning environment, teaching and learning styles, examples of mode of delivery, and assessment strategy. Also, the learning activities were supported by technological features such as discussion forums for social perception and engagement and immediate feedback exercises for self-motivation. Through the developed module, TVE teachers can effectively manage the teaching and learning process as well as the assessment strategy to satisfy students' individual requirements and enable them to meet workplace requirements.

Harlequin-Inspired Story-Based Learning: An Educational Innovation for Pediatric Nursing Communication.

PubMed

Shaw, Alison; Lind, Candace; Ewashen, Carol

2017-05-01

Effective communication with patients and families is essential for quality care in the pediatric environment. Despite this, the current structure and content of undergraduate nursing education often contributes to novice RNs feeling unprepared to manage complex pediatric communication situations. By merging the characteristics of the Harlequin persona with the structure of story-based learning, undergraduate students can be introduced to increasingly advanced pediatric communication scenarios in the classroom. Although story-based learning encourages students to identify and address the contextual and emotional elements of a story, the Harlequin encourages educators to challenge assumptions and upset the status quo. Nursing students can develop advanced communication abilities and learn to identify and cope with the emotions and complexities inherent in pediatric practice and communication. Harlequin-inspired story-based learning can enable nurse educators to create interesting, realistic, and challenging pediatric nursing stories designed to push students outside their comfort zones and enhance their advanced pediatric communication abilities. [J Nurs Educ. 2017;56(5):300-303.]. Copyright 2017, SLACK Incorporated.

Using smart mobile devices in social-network-based health education practice: a learning behavior analysis.

PubMed

Wu, Ting-Ting

2014-06-01

Virtual communities provide numerous resources, immediate feedback, and information sharing, enabling people to rapidly acquire information and knowledge and supporting diverse applications that facilitate interpersonal interactions, communication, and sharing. Moreover, incorporating highly mobile and convenient devices into practice-based courses can be advantageous in learning situations. Therefore, in this study, a tablet PC and Google+ were introduced to a health education practice course to elucidate satisfaction of learning module and conditions and analyze the sequence and frequency of learning behaviors during the social-network-based learning process. According to the analytical results, social networks can improve interaction among peers and between educators and students, particularly when these networks are used to search for data, post articles, engage in discussions, and communicate. In addition, most nursing students and nursing educators expressed a positive attitude and satisfaction toward these innovative teaching methods, and looked forward to continuing the use of this learning approach. Copyright © 2014 Elsevier Ltd. All rights reserved.

Blended learning in health education: three case studies.

PubMed

de Jong, Nynke; Savin-Baden, Maggi; Cunningham, Anne Marie; Verstegen, Daniëlle M L

2014-09-01

Blended learning in which online education is combined with face-to-face education is especially useful for (future) health care professionals who need to keep up-to-date. Blended learning can make learning more efficient, for instance by removing barriers of time and distance. In the past distance-based learning activities have often been associated with traditional delivery-based methods, individual learning and limited contact. The central question in this paper is: can blended learning be active and collaborative? Three cases of blended, active and collaborative learning are presented. In case 1 a virtual classroom is used to realize online problem-based learning (PBL). In case 2 PBL cases are presented in Second Life, a 3D immersive virtual world. In case 3 discussion forums, blogs and wikis were used. In all cases face-to-face meetings were also organized. Evaluation results of the three cases clearly show that active, collaborative learning at a distance is possible. Blended learning enables the use of novel instructional methods and student-centred education. The three cases employ different educational methods, thus illustrating diverse possibilities and a variety of learning activities in blended learning. Interaction and communication rules, the role of the teacher, careful selection of collaboration tools and technical preparation should be considered when designing and implementing blended learning.

From creatures of habit to goal-directed learners: Tracking the developmental emergence of model-based reinforcement learning

PubMed Central

Decker, Johannes H.; Otto, A. Ross; Daw, Nathaniel D.; Hartley, Catherine A.

2016-01-01

Theoretical models distinguish two decision-making strategies that have been formalized in reinforcement-learning theory. A model-based strategy leverages a cognitive model of potential actions and their consequences to make goal-directed choices, whereas a model-free strategy evaluates actions based solely on their reward history. Research in adults has begun to elucidate the psychological mechanisms and neural substrates underlying these learning processes and factors that influence their relative recruitment. However, the developmental trajectory of these evaluative strategies has not been well characterized. In this study, children, adolescents, and adults, performed a sequential reinforcement-learning task that enables estimation of model-based and model-free contributions to choice. Whereas a model-free strategy was evident in choice behavior across all age groups, evidence of a model-based strategy only emerged during adolescence and continued to increase into adulthood. These results suggest that recruitment of model-based valuation systems represents a critical cognitive component underlying the gradual maturation of goal-directed behavior. PMID:27084852

Teach beyond Your Reach: An Instructor's Guide to Developing and Running Successful Distance Learning Classes, Workshops, Training Sessions, and More. Second Edition

ERIC Educational Resources Information Center

Neidorf, Robin

2012-01-01

Distance education is enabling individuals to earn college and graduate degrees, professional certificates, and a wide range of skills and credentials. In addition to the expanding role of distance learning in higher education, all types of organizations now offer web-based training courses to employees, clients, and other associates. In this…

The Use of Discourse in Enabling Access Physics Students to Construct Meaning of Magnetic Field Patterns

ERIC Educational Resources Information Center

Qhobela, Makomosela; Rollnick, Marissa

2010-01-01

This paper analyses discourse produced in a larger study aimed at encouraging students in Lesotho to talk the language of science as a meaningful way of learning. The paper presents a semiotic and activity based analysis of discourses of students learning to talk physics while enrolled in a pre-tertiary access programme. Prior to the access…

Active Learning and Engagement with the Wireless Indoor Location Device (WILD) Learning System

NASA Astrophysics Data System (ADS)

Moldwin, M.; Samson, P. J.; Ojeda, L.; Miller, T.; Yu, J.

2016-12-01

The Wireless Indoor Location Device (WILD) Learning System being developed at the University of Michigan and the Education Technology company A2 Motus LLC provides a unique platform for social learning by allowing students to become active participants in live simulations of complex systems, like hurricane formation. The WILD Learning System enables teachers to engage students in kinesthetic activities that explore complex models from a wide variety of STEAM (Science, Technology, Engineering, Art and Math) disciplines. The system provides students' location, orientation and motion within the classroom and assigns each student different parameters depending on the activity. For example, students learning about hurricanes could be assigned atmospheric pressure levels and asked to arrange themselves around the room to simulate a hurricane. The Wild Learning System software then takes the students' pressure readings and locations and projects their locations overlaid onto a real-time generated simulated pressure weather map enabling the observation of how their arrangement influences the pressure structure. The teacher then could have the students orient themselves in the direction they think the resulting wind field will be based on the pressure contours as the system can show an arrow originating from each of the students position in the direction that they are facing. The system also could incorporate a student response-type system for the instructor to then directly question students about other concepts and record their response to both the kinesthetic activity and other formative assessment questions. The WILD Learning System consists of a sensor package for each student in the class, beacons to enable precise localization of the students, software to calculate student location information, and educational software for a variety of activities. In addition, a software development kit (SDK) is under development that would allow others to create additional learning activities using the WILD Learning System. (WILD Learning System development has been partially supported by NASA's CYGNSS Mission EPO, the NSF and the University of Michigan).

Teaching a Biotechnology Curriculum Based on Adapted Primary Literature

ERIC Educational Resources Information Center

Falk, Hedda; Brill, Gilat; Yarden, Anat

2008-01-01

Adapted primary literature (APL) refers to an educational genre specifically designed to enable the use of research articles for learning biology in high school. The present investigation focuses on the pedagogical content knowledge (PCK) of four high-school biology teachers who enacted an APL-based curriculum in biotechnology. Using a…

Comparative Analysis of Palm and Wearable Computers for Participatory Simulations

ERIC Educational Resources Information Center

Klopfer, Eric; Yoon, Susan; Rivas, Luz

2004-01-01

Recent educational computer-based technologies have offered promising lines of research that promote social constructivist learning goals, develop skills required to operate in a knowledge-based economy (Roschelle et al. 2000), and enable more authentic science-like problem-solving. In our research programme, we have been interested in combining…

Exogenous Attention Enables Perceptual Learning

PubMed Central

Szpiro, Sarit F. A.; Carrasco, Marisa

2015-01-01

Practice can improve visual perception, and these improvements are considered to be a form of brain plasticity. Training-induced learning is time-consuming and requires hundreds of trials across multiple days. The process of learning acquisition is understudied. Can learning acquisition be potentiated by manipulating visual attentional cues? We developed a protocol in which we used task-irrelevant cues for between-groups manipulation of attention during training. We found that training with exogenous attention can enable the acquisition of learning. Remarkably, this learning was maintained even when observers were subsequently tested under neutral conditions, which indicates that a change in perception was involved. Our study is the first to isolate the effects of exogenous attention and to demonstrate its efficacy to enable learning. We propose that exogenous attention boosts perceptual learning by enhancing stimulus encoding. PMID:26502745

Reinforcement learning of targeted movement in a spiking neuronal model of motor cortex.

PubMed

Chadderdon, George L; Neymotin, Samuel A; Kerr, Cliff C; Lytton, William W

2012-01-01

Sensorimotor control has traditionally been considered from a control theory perspective, without relation to neurobiology. In contrast, here we utilized a spiking-neuron model of motor cortex and trained it to perform a simple movement task, which consisted of rotating a single-joint "forearm" to a target. Learning was based on a reinforcement mechanism analogous to that of the dopamine system. This provided a global reward or punishment signal in response to decreasing or increasing distance from hand to target, respectively. Output was partially driven by Poisson motor babbling, creating stochastic movements that could then be shaped by learning. The virtual forearm consisted of a single segment rotated around an elbow joint, controlled by flexor and extensor muscles. The model consisted of 144 excitatory and 64 inhibitory event-based neurons, each with AMPA, NMDA, and GABA synapses. Proprioceptive cell input to this model encoded the 2 muscle lengths. Plasticity was only enabled in feedforward connections between input and output excitatory units, using spike-timing-dependent eligibility traces for synaptic credit or blame assignment. Learning resulted from a global 3-valued signal: reward (+1), no learning (0), or punishment (-1), corresponding to phasic increases, lack of change, or phasic decreases of dopaminergic cell firing, respectively. Successful learning only occurred when both reward and punishment were enabled. In this case, 5 target angles were learned successfully within 180 s of simulation time, with a median error of 8 degrees. Motor babbling allowed exploratory learning, but decreased the stability of the learned behavior, since the hand continued moving after reaching the target. Our model demonstrated that a global reinforcement signal, coupled with eligibility traces for synaptic plasticity, can train a spiking sensorimotor network to perform goal-directed motor behavior.

Educational outcomes and leadership to meet the needs of modern health care

PubMed Central

Spencer, J; Jordan, R

2001-01-01

If professionals are to be equipped better to meet the needs of modern health care systems and the standards of practice required, significant educational change is still required. Educational change requires leadership, and lack of educational leadership may have impeded change in the past. In practical terms standards refer to outcomes, and thus an outcome based approach to clinical education is advocated as the one most likely to provide an appropriate framework for organisational and system change. The provision of explicit statements of learning intent, an educational process enabling acquisition and demonstration of these, and criteria for ensuring their achievement are the key features of such a framework. The derivation of an appropriate outcome set should emphasise what the learners will be able to do following the learning experience, how they will subsequently approach these tasks, and what, as a professional, they will bring to their practice. Once defined, the learning outcomes should determine, in turn, the nature of the learning experience enabling their achievement and the assessment processes to certify that they have been met. Provision of the necessary educational environment requires an understanding of the close interrelationship between learning style, learning theory, and methods whereby active and deep learning may be fostered. If desired change is to prevail, a conducive educational culture which values learning as well as evaluation, review, and enhancement must be engendered. It is the responsibility of all who teach to foster such an environment and culture, for all practitioners involved in health care have a leadership role in education. Quality in Health Care(Quality in Health Care 2001;10(Suppl II):ii38–ii45) Key Words: leadership; learning; outcome based education PMID:11700378

An innovative clinical practicum to teach evidence-based practice.

PubMed

Brancato, Vera C

2006-01-01

A clinical practicum was successfully implemented for RN to BSN students to apply evidence-based practice to actual clinical problems affecting nursing practice. The author describes how this practicum was implemented and the requisite resources and support systems. This senior-level capstone course enabled students to understand and value a lifelong learning approach to evidence-based practice.

Cultivating the Spatial Politics of Community-Based Literacy Practices in Hip-Hop

ERIC Educational Resources Information Center

Prier, Darius D.

2013-01-01

In this article, the social imagination of community-based sites of urban resistance enable out-of-school literacy practices in Black popular culture to foreground the contemporary context in which youth empowerment is nurtured in out-of-school learning settings. Second, the author chronicles how youth advocates in hip-hop--based community…

Competence-Based Vocational Education and Training (VET): An Approach of Shaping and Networking

ERIC Educational Resources Information Center

Bohne, Christoph; Eicker, Friedhelm; Haseloff, Gesine

2017-01-01

Purpose: The purpose of this paper is to develop a vocational scientific constructivist concept meant for shaping competence-based and networked teaching and learning in vocational education and training (VET). Design/methodology/approach: VET must enable learners to shape work within the context of conceptions based on the development of society.…

Hard Times for HRD, Lean Times for Learning?: Workplace Participatory Practices as Enablers of Learning

ERIC Educational Resources Information Center

Warhurst, Russell

2013-01-01

Purpose: This article aims to show how in times of austerity when formal HRD activity is curtailed and yet the need for learning is greatest, non-formal learning methods such as workplace involvement and participation initiated by line managers can compensate by enabling the required learning and change. Design/methodology/approach: A qualitative…

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.

A New Mechanism for a Brain

ERIC Educational Resources Information Center

Andreae, John H.; Cleary, John G.

1976-01-01

The new mechanism, PUSS, enables experience of any complex environment to be accumulated in a predictive model. PURR-PUSS is a teachable robot system based on the new mechanism. Cumulative learning is demonstrated by a detailed example. (Author)

Technical Note: Deep learning based MRAC using rapid ultra-short echo time imaging.

PubMed

Jang, Hyungseok; Liu, Fang; Zhao, Gengyan; Bradshaw, Tyler; McMillan, Alan B

2018-05-15

In this study, we explore the feasibility of a novel framework for MR-based attenuation correction for PET/MR imaging based on deep learning via convolutional neural networks, which enables fully automated and robust estimation of a pseudo CT image based on ultrashort echo time (UTE), fat, and water images obtained by a rapid MR acquisition. MR images for MRAC are acquired using dual echo ramped hybrid encoding (dRHE), where both UTE and out-of-phase echo images are obtained within a short single acquisition (35 sec). Tissue labeling of air, soft tissue, and bone in the UTE image is accomplished via a deep learning network that was pre-trained with T1-weighted MR images. UTE images are used as input to the network, which was trained using labels derived from co-registered CT images. The tissue labels estimated by deep learning are refined by a conditional random field based correction. The soft tissue labels are further separated into fat and water components using the two-point Dixon method. The estimated bone, air, fat, and water images are then assigned appropriate Hounsfield units, resulting in a pseudo CT image for PET attenuation correction. To evaluate the proposed MRAC method, PET/MR imaging of the head was performed on 8 human subjects, where Dice similarity coefficients of the estimated tissue labels and relative PET errors were evaluated through comparison to a registered CT image. Dice coefficients for air (within the head), soft tissue, and bone labels were 0.76±0.03, 0.96±0.006, and 0.88±0.01. In PET quantification, the proposed MRAC method produced relative PET errors less than 1% within most brain regions. The proposed MRAC method utilizing deep learning with transfer learning and an efficient dRHE acquisition enables reliable PET quantification with accurate and rapid pseudo CT generation. This article is protected by copyright. All rights reserved. This article is protected by copyright. All rights reserved.

Progressive sampling-based Bayesian optimization for efficient and automatic machine learning model selection.

PubMed

Zeng, Xueqiang; Luo, Gang

2017-12-01

Machine learning is broadly used for clinical data analysis. Before training a model, a machine learning algorithm must be selected. Also, the values of one or more model parameters termed hyper-parameters must be set. Selecting algorithms and hyper-parameter values requires advanced machine learning knowledge and many labor-intensive manual iterations. To lower the bar to machine learning, miscellaneous automatic selection methods for algorithms and/or hyper-parameter values have been proposed. Existing automatic selection methods are inefficient on large data sets. This poses a challenge for using machine learning in the clinical big data era. To address the challenge, this paper presents progressive sampling-based Bayesian optimization, an efficient and automatic selection method for both algorithms and hyper-parameter values. We report an implementation of the method. We show that compared to a state of the art automatic selection method, our method can significantly reduce search time, classification error rate, and standard deviation of error rate due to randomization. This is major progress towards enabling fast turnaround in identifying high-quality solutions required by many machine learning-based clinical data analysis tasks.

Designing Technology-Enabled Instruction to Utilize Learning Analytics

ERIC Educational Resources Information Center

Davies, Randall; Nyland, Robert; Bodily, Robert; Chapman, John; Jones, Brian; Young, Jay

2017-01-01

A key notion conveyed by those who advocate for the use of data to enhance instruction is an awareness that learning analytics has the potential to improve instruction and learning but is not currently reaching that potential. Gibbons (2014) suggested that a lack of learning facilitated by current technology-enabled instructional systems may be…

Enabling the Development of Student Teacher Professional Identity through Vicarious Learning during an Educational Excursion

ERIC Educational Resources Information Center

Steenekamp, Karen; van der Merwe, Martyn; Mehmedova, Aygul Salieva

2018-01-01

This paper explores the views of student teachers who were provided vicarious learning opportunities during an educational excursion, and how the learning enabled them to develop their teacher professional identity. This qualitative research study, using a social-constructivist lens highlights how vicarious learning influenced student teachers'…

Design and Implementation of Technology Enabled Affective Learning Using Fusion of Bio-Physical and Facial Expression

ERIC Educational Resources Information Center

Ray, Arindam; Chakrabarti, Amlan

2016-01-01

Technology Enabled Learning is a cognitive, constructive, systematic, collaborative learning procedure, which transforms teaching-learning pedagogy where role of emotion is very often neglected. Emotion plays significant role in the cognitive process of human being, so the transformation is incomplete without capturing the learner's emotional…

Predictive representations can link model-based reinforcement learning to model-free mechanisms.

PubMed

Russek, Evan M; Momennejad, Ida; Botvinick, Matthew M; Gershman, Samuel J; Daw, Nathaniel D

2017-09-01

Humans and animals are capable of evaluating actions by considering their long-run future rewards through a process described using model-based reinforcement learning (RL) algorithms. The mechanisms by which neural circuits perform the computations prescribed by model-based RL remain largely unknown; however, multiple lines of evidence suggest that neural circuits supporting model-based behavior are structurally homologous to and overlapping with those thought to carry out model-free temporal difference (TD) learning. Here, we lay out a family of approaches by which model-based computation may be built upon a core of TD learning. The foundation of this framework is the successor representation, a predictive state representation that, when combined with TD learning of value predictions, can produce a subset of the behaviors associated with model-based learning, while requiring less decision-time computation than dynamic programming. Using simulations, we delineate the precise behavioral capabilities enabled by evaluating actions using this approach, and compare them to those demonstrated by biological organisms. We then introduce two new algorithms that build upon the successor representation while progressively mitigating its limitations. Because this framework can account for the full range of observed putatively model-based behaviors while still utilizing a core TD framework, we suggest that it represents a neurally plausible family of mechanisms for model-based evaluation.

Predictive representations can link model-based reinforcement learning to model-free mechanisms

PubMed Central

Botvinick, Matthew M.

2017-01-01

Humans and animals are capable of evaluating actions by considering their long-run future rewards through a process described using model-based reinforcement learning (RL) algorithms. The mechanisms by which neural circuits perform the computations prescribed by model-based RL remain largely unknown; however, multiple lines of evidence suggest that neural circuits supporting model-based behavior are structurally homologous to and overlapping with those thought to carry out model-free temporal difference (TD) learning. Here, we lay out a family of approaches by which model-based computation may be built upon a core of TD learning. The foundation of this framework is the successor representation, a predictive state representation that, when combined with TD learning of value predictions, can produce a subset of the behaviors associated with model-based learning, while requiring less decision-time computation than dynamic programming. Using simulations, we delineate the precise behavioral capabilities enabled by evaluating actions using this approach, and compare them to those demonstrated by biological organisms. We then introduce two new algorithms that build upon the successor representation while progressively mitigating its limitations. Because this framework can account for the full range of observed putatively model-based behaviors while still utilizing a core TD framework, we suggest that it represents a neurally plausible family of mechanisms for model-based evaluation. PMID:28945743

Learning Kinematic Constraints in Laparoscopic Surgery

PubMed Central

Huang, Felix C.; Mussa-Ivaldi, Ferdinando A.; Pugh, Carla M.; Patton, James L.

2012-01-01

To better understand how kinematic variables impact learning in surgical training, we devised an interactive environment for simulated laparoscopic maneuvers, using either 1) mechanical constraints typical of a surgical “box-trainer” or 2) virtual constraints in which free hand movements control virtual tool motion. During training, the virtual tool responded to the absolute position in space (Position-Based) or the orientation (Orientation-Based) of a hand-held sensor. Volunteers were further assigned to different sequences of target distances (Near-Far-Near or Far-Near-Far). Training with the Orientation-Based constraint enabled much lower path error and shorter movement times during training, which suggests that tool motion that simply mirrors joint motion is easier to learn. When evaluated in physically constrained (physical box-trainer) conditions, each group exhibited improved performance from training. However, Position-Based training enabled greater reductions in movement error relative to Orientation-Based (mean difference: 14.0 percent; CI: 0.7, 28.6). Furthermore, the Near-Far-Near schedule allowed a greater decrease in task time relative to the Far-Near-Far sequence (mean −13:5 percent, CI: −19:5, −7:5). Training that focused on shallow tool insertion (near targets) might promote more efficient movement strategies by emphasizing the curvature of tool motion. In addition, our findings suggest that an understanding of absolute tool position is critical to coping with mechanical interactions between the tool and trocar. PMID:23293709

Accredited work-based learning: an approach for collaboration between higher education and practice.

PubMed

Chalmers, H; Swallow, V M; Miller, J

2001-11-01

This article discusses the experience of creating a programme of accredited work based learning (AWBL) for emergency nurse practitioners (ENPs) who work in an Accident and Emergency (A&E) Department in the North East of England. The initiative highlighted the challenges of collaboration with purchasers of education and with professional colleagues, other than nurses. Accredited work-based learning was seen to be an appropriate means of supporting ENP role development. Some of the drivers of the development were: the need for a rapid response to wide ranging changes in the health service; the need to ensure rigour in the quality of both education and health care; to enable participants to engage in role development with appropriate skills, confidence and competence; and to ensure that the learning programme had parity in its design with conventional university based learning. The aim was to collaborate in the creation of learning which was relevant to the Trust's drive to improve patient care which accommodated the nurses' common and individual learning needs and offered academically recognized learning opportunities in tune with the post-Dearing ethos in higher education. This aim was reached and included a great deal of learning on the part of the collaborating partners. Copyright 2001 Harcourt Publishers Ltd.

Combined self-learning based single-image super-resolution and dual-tree complex wavelet transform denoising for medical images

NASA Astrophysics Data System (ADS)

Yang, Guang; Ye, Xujiong; Slabaugh, Greg; Keegan, Jennifer; Mohiaddin, Raad; Firmin, David

2016-03-01

In this paper, we propose a novel self-learning based single-image super-resolution (SR) method, which is coupled with dual-tree complex wavelet transform (DTCWT) based denoising to better recover high-resolution (HR) medical images. Unlike previous methods, this self-learning based SR approach enables us to reconstruct HR medical images from a single low-resolution (LR) image without extra training on HR image datasets in advance. The relationships between the given image and its scaled down versions are modeled using support vector regression with sparse coding and dictionary learning, without explicitly assuming reoccurrence or self-similarity across image scales. In addition, we perform DTCWT based denoising to initialize the HR images at each scale instead of simple bicubic interpolation. We evaluate our method on a variety of medical images. Both quantitative and qualitative results show that the proposed approach outperforms bicubic interpolation and state-of-the-art single-image SR methods while effectively removing noise.

Exogenous Attention Enables Perceptual Learning.

PubMed

Szpiro, Sarit F A; Carrasco, Marisa

2015-12-01

Practice can improve visual perception, and these improvements are considered to be a form of brain plasticity. Training-induced learning is time-consuming and requires hundreds of trials across multiple days. The process of learning acquisition is understudied. Can learning acquisition be potentiated by manipulating visual attentional cues? We developed a protocol in which we used task-irrelevant cues for between-groups manipulation of attention during training. We found that training with exogenous attention can enable the acquisition of learning. Remarkably, this learning was maintained even when observers were subsequently tested under neutral conditions, which indicates that a change in perception was involved. Our study is the first to isolate the effects of exogenous attention and to demonstrate its efficacy to enable learning. We propose that exogenous attention boosts perceptual learning by enhancing stimulus encoding. © The Author(s) 2015.

Multi-layer neural networks for robot control

NASA Technical Reports Server (NTRS)

Pourboghrat, Farzad

1989-01-01

Two neural learning controller designs for manipulators are considered. The first design is based on a neural inverse-dynamics system. The second is the combination of the first one with a neural adaptive state feedback system. Both types of controllers enable the manipulator to perform any given task very well after a period of training and to do other untrained tasks satisfactorily. The second design also enables the manipulator to compensate for unpredictable perturbations.

A New Concept Map Model for E-Learning Environments

NASA Astrophysics Data System (ADS)

Dattolo, Antonina; Luccio, Flaminia L.

Web-based education enables learners and teachers to access a wide quantity of continuously updated educational sources. In order to support the learning process, a system has to provide some fundamental features, such as simple mechanisms for the identification of the collection of “interesting” documents, adequate structures for storing, organizing and visualizing these documents, and appropriate mechanisms for creating personalized adaptive paths and views for learners.

Metric Learning for Hyperspectral Image Segmentation

NASA Technical Reports Server (NTRS)

Bue, Brian D.; Thompson, David R.; Gilmore, Martha S.; Castano, Rebecca

2011-01-01

We present a metric learning approach to improve the performance of unsupervised hyperspectral image segmentation. Unsupervised spatial segmentation can assist both user visualization and automatic recognition of surface features. Analysts can use spatially-continuous segments to decrease noise levels and/or localize feature boundaries. However, existing segmentation methods use tasks-agnostic measures of similarity. Here we learn task-specific similarity measures from training data, improving segment fidelity to classes of interest. Multiclass Linear Discriminate Analysis produces a linear transform that optimally separates a labeled set of training classes. The defines a distance metric that generalized to a new scenes, enabling graph-based segmentation that emphasizes key spectral features. We describe tests based on data from the Compact Reconnaissance Imaging Spectrometer (CRISM) in which learned metrics improve segment homogeneity with respect to mineralogical classes.

An interplay of fusiform gyrus and hippocampus enables prototype- and exemplar-based category learning.

PubMed

Lech, Robert K; Güntürkün, Onur; Suchan, Boris

2016-09-15

The aim of the present study was to examine the contributions of different brain structures to prototype- and exemplar-based category learning using functional magnetic resonance imaging (fMRI). Twenty-eight subjects performed a categorization task in which they had to assign prototypes and exceptions to two different families. This test procedure usually produces different learning curves for prototype and exception stimuli. Our behavioral data replicated these previous findings by showing an initially superior performance for prototypes and typical stimuli and a switch from a prototype-based to an exemplar-based categorization for exceptions in the later learning phases. Since performance varied, we divided participants into learners and non-learners. Analysis of the functional imaging data revealed that the interaction of group (learners vs. non-learners) and block (Block 5 vs. Block 1) yielded an activation of the left fusiform gyrus for the processing of prototypes, and an activation of the right hippocampus for exceptions after learning the categories. Thus, successful prototype- and exemplar-based category learning is associated with activations of complementary neural substrates that constitute object-based processes of the ventral visual stream and their interaction with unique-cue representations, possibly based on sparse coding within the hippocampus. Copyright © 2016 Elsevier B.V. All rights reserved.

Reality-Based Learning: Outbreak, an Engaging Introductory Course in Public Health and Epidemiology

ERIC Educational Resources Information Center

Calonge, David Santandreu; Grando, Danilla

2013-01-01

Objective: To develop a totally online reality-based course that engages students and enables the development of enhanced teamwork and report-writing skills. Setting: Outbreaks of infectious diseases impacts upon commerce, trade and tourism as well as placing strains on healthcare systems. A general course introducing university students to…

Lessons Learned from Undergraduate Students in Designing a Science-Based Course in Bioethics

ERIC Educational Resources Information Center

Loike, John D.; Rush, Brittany S.; Schweber, Adam; Fischbach, Ruth L.

2013-01-01

Columbia University offers two innovative undergraduate science-based bioethics courses for student majoring in biosciences and pre-health studies. The goals of these courses are to introduce future scientists and healthcare professionals to the ethical questions they will confront in their professional lives, thus enabling them to strategically…

User Acceptance of a Proposed Self-Evaluation and Continuous Assessment System

ERIC Educational Resources Information Center

Robles-Gómez, Antonio; Ros, Salvador; Hernández, Roberto; Tobarra, Llanos; Caminero, Agustin C.; Agudo, José M.

2015-01-01

The WWW nowadays enables faculty to develop new Internet-based applications that can be used to enhance classroom instruction. There is a clear evolution towards the implementation of new service-oriented learning/teaching systems, which can be considered as the latest generation of Internet-based platforms. This work first describes a…

Challenging the Knowledge-Transfer Orthodoxy: Knowledge Co-construction in Technology-Enhanced Learning for Children with Autism

ERIC Educational Resources Information Center

Guldberg, Karen; Parsons, Sarah; Porayska-Pomsta, Kaska; Keay-Bright, Wendy

2017-01-01

Experimental intervention studies constitute the current dominant research designs in the autism education field. Such designs are based on a "knowledge-transfer" model of evidence-based practice in which research is conducted by researchers, and is then "transferred" to practitioners to enable them to implement evidence-based…

Simulating Technology Processes to Foster Learning.

ERIC Educational Resources Information Center

Krumholtz, Nira

1998-01-01

Based on a spiral model of technology evolution, elementary students used LOGO computer software to become both developers and users of technology. The computerized environment enabled 87% to reach intuitive understanding of physical concepts; 24% expressed more formal scientific understanding. (SK)

Instructional Dialogue: Distance Education Students' Dialogic Behaviour

ERIC Educational Resources Information Center

Caspi, Avner; Gorsky, Paul

2006-01-01

Instructional systems, both distance education and campus-based, may be viewed in terms of intrapersonal and interpersonal "instructional dialogues," that mediate and facilitate learning respectively, and "instructional resources" that enable such dialogues. Resources include self-instruction texts, tutorials, instructor…

Development of a Web-Enabled Learning Platform for Geospatial Laboratories: Improving the Undergraduate Learning Experience

ERIC Educational Resources Information Center

Mui, Amy B.; Nelson, Sarah; Huang, Bruce; He, Yuhong; Wilson, Kathi

2015-01-01

This paper describes a web-enabled learning platform providing remote access to geospatial software that extends the learning experience outside of the laboratory setting. The platform was piloted in two undergraduate courses, and includes a software server, a data server, and remote student users. The platform was designed to improve the quality…

Using Email to Enable E[superscript 3] (Effective, Efficient, and Engaging) Learning

ERIC Educational Resources Information Center

Kim, ChanMin

2008-01-01

This article argues that technology that supports both noncognitive and cognitive aspects can make learning more effective, efficient, and engaging (e[superscript 3]-learning). The technology of interest in this article is email. The investigation focuses on characteristics of email that are likely to enable e[superscript 3]-learning. In addition,…

Knowledge acquisition and learning process description in context of e-learning

NASA Astrophysics Data System (ADS)

Kiselev, B. G.; Yakutenko, V. A.; Yuriev, M. A.

2017-01-01

This paper investigates the problem of design of e-learning and MOOC systems. It describes instructional design-based approaches to e-learning systems design: IMS Learning Design, MISA and TELOS. To solve this problem we present Knowledge Field of Educational Environment with Competence boundary conditions - instructional engineering method for self-learning systems design. It is based on the simplified TELOS approach and enables a user to create their individual learning path by choosing prerequisite and target competencies. The paper provides the ontology model for the described instructional engineering method, real life use cases and the classification of the presented model. Ontology model consists of 13 classes and 15 properties. Some of them are inherited from Knowledge Field of Educational Environment and some are new and describe competence boundary conditions and knowledge validation objects. Ontology model uses logical constraints and is described using OWL 2 standard. To give TELOS users better understanding of our approach we list mapping between TELOS and KFEEC.

Statistical Relational Learning (SRL) as an Enabling Technology for Data Acquisition and Data Fusion in Video

DTIC Science & Technology

2013-05-02

REPORT Statistical Relational Learning ( SRL ) as an Enabling Technology for Data Acquisition and Data Fusion in Video 14. ABSTRACT 16. SECURITY...particular, it is important to reason about which portions of video require expensive analysis and storage. This project aims to make these...inferences using new and existing tools from Statistical Relational Learning ( SRL ). SRL is a recently emerging technology that enables the effective 1

Social Learning Theory: its application in the context of nurse education.

PubMed

Bahn, D

2001-02-01

Cognitive theories are fundamental to enable problem solving and the ability to understand and apply principles in a variety of situations. This article looks at Social Learning Theory, critically analysing its principles, which are based on observational learning and modelling, and considering its value and application in the context of nurse education. It also considers the component processes that will determine the outcome of observed behaviour, other than reinforcement, as identified by Bandura, namely: attention, retention, motor reproduction, and motivation. Copyright 2001 Harcourt Publishers Ltd.

Archiving Student Solutions with Tablet PCs in a Discussion-based Introductory Physics Class

NASA Astrophysics Data System (ADS)

Price, Edward; De Leone, Charles

2008-10-01

Many active learning based physics courses use whiteboards as a space for groups to respond to prompts based on short lab activities, problem solving, or inquiry-oriented activities. Whiteboards are volatile; once erased, the material is lost. Tablet PCs and software such as Ubiquitous Presenter can be used as digital whiteboards in active learning classes. This enables automatic capture and archiving of student work for online review by students, instructors, and researchers. We studied the use of digital whiteboards in an active-learning introductory physics course at California State University, San Marcos. In this paper we examine the archival features of digital whiteboards', and characterize the use of these features by students and instructors, and explore possible uses for researchers and curriculum developers.

Machine learning in computational biology to accelerate high-throughput protein expression.

PubMed

Sastry, Anand; Monk, Jonathan; Tegel, Hanna; Uhlen, Mathias; Palsson, Bernhard O; Rockberg, Johan; Brunk, Elizabeth

2017-08-15

The Human Protein Atlas (HPA) enables the simultaneous characterization of thousands of proteins across various tissues to pinpoint their spatial location in the human body. This has been achieved through transcriptomics and high-throughput immunohistochemistry-based approaches, where over 40 000 unique human protein fragments have been expressed in E. coli. These datasets enable quantitative tracking of entire cellular proteomes and present new avenues for understanding molecular-level properties influencing expression and solubility. Combining computational biology and machine learning identifies protein properties that hinder the HPA high-throughput antibody production pipeline. We predict protein expression and solubility with accuracies of 70% and 80%, respectively, based on a subset of key properties (aromaticity, hydropathy and isoelectric point). We guide the selection of protein fragments based on these characteristics to optimize high-throughput experimentation. We present the machine learning workflow as a series of IPython notebooks hosted on GitHub (https://github.com/SBRG/Protein_ML). The workflow can be used as a template for analysis of further expression and solubility datasets. ebrunk@ucsd.edu or johanr@biotech.kth.se. Supplementary data are available at Bioinformatics online. © The Author (2017). Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com

A multidisciplinary allied health faculty team: formation and first year production of problem-based learning in gerontology/geriatrics.

PubMed

Silver, S

1998-01-01

An interdisciplinary team of faculty, administrators and practitioners representing diverse settings for allied health education has formed the Mid-Atlantic Allied Health Geriatric Education Center (MAHGEC) to produce problem-based learning (PBL) cases related to older adults. These cases will enable allied health students and practitioners to work together in interdisciplinary teams and expand allied health education to include health issues related to gerontology/ geriatrics. The health professionals of MAHGEC have brought different perspectives to the project. These include: (1) educational requirements to be gained from their association with MAHGEC, (2) health care disciplines to enhance the PBL cases produced, (3) personal histories related to older adults, and (4) ideas for utilization of problem-based learning in their particular educational and professional settings. The first year of this project has included the execution of a needs assessment for gerontology/geriatric education in allied health programs, the development of the infrastructure of MAHGEC, building the content base of MAHGEC faculty regarding gerontology/geriatrics and problem-based learning, the establishment of priorities in the production of problem-based learning cases for Year 01, and division into production teams for cases.

Hooks and Shifts: A Dialectical Study of Mediated Discovery

ERIC Educational Resources Information Center

Abrahamson, Dor; Trninic, Dragan; Gutierrez, Jose F.; Huth, Jacob; Lee, Rosa G.

2011-01-01

Radical constructivists advocate discovery-based pedagogical regimes that enable students to incrementally and continuously adapt their cognitive structures to the instrumented cultural environment. Some sociocultural theorists, however, maintain that learning implies discontinuity in conceptual development, because novices must appropriate expert…

An innovative approach to developing the reflective skills of medical students

PubMed Central

Henderson, Penny; Johnson, Martin H

2002-01-01

Background Development of the reflective skills of medical students is an acknowledged objective of medical education. Description Description of an educational exercise which uses an email-based process for developing the reflective skills of undergraduate medical students. Student quotations illustrate learning outcomes qualitatively. Discussion The process described is immediate, direct, linked to learning objectives, enables rapid responses to be given to the students individually, and is followed by group sharing of learning. It provides a rigorous and robust feedback loop for students. It is relatively economic for teachers and incidentally benefits curriculum design and evolution. The approach supports development of a reflective approach to learning. PMID:12003640

The "proactive" model of learning: Integrative framework for model-free and model-based reinforcement learning utilizing the associative learning-based proactive brain concept.

PubMed

Zsuga, Judit; Biro, Klara; Papp, Csaba; Tajti, Gabor; Gesztelyi, Rudolf

2016-02-01

Reinforcement learning (RL) is a powerful concept underlying forms of associative learning governed by the use of a scalar reward signal, with learning taking place if expectations are violated. RL may be assessed using model-based and model-free approaches. Model-based reinforcement learning involves the amygdala, the hippocampus, and the orbitofrontal cortex (OFC). The model-free system involves the pedunculopontine-tegmental nucleus (PPTgN), the ventral tegmental area (VTA) and the ventral striatum (VS). Based on the functional connectivity of VS, model-free and model based RL systems center on the VS that by integrating model-free signals (received as reward prediction error) and model-based reward related input computes value. Using the concept of reinforcement learning agent we propose that the VS serves as the value function component of the RL agent. Regarding the model utilized for model-based computations we turned to the proactive brain concept, which offers an ubiquitous function for the default network based on its great functional overlap with contextual associative areas. Hence, by means of the default network the brain continuously organizes its environment into context frames enabling the formulation of analogy-based association that are turned into predictions of what to expect. The OFC integrates reward-related information into context frames upon computing reward expectation by compiling stimulus-reward and context-reward information offered by the amygdala and hippocampus, respectively. Furthermore we suggest that the integration of model-based expectations regarding reward into the value signal is further supported by the efferent of the OFC that reach structures canonical for model-free learning (e.g., the PPTgN, VTA, and VS). (c) 2016 APA, all rights reserved).

Conceptual Change and Science Achievement Related to a Lesson Sequence on Acids and Bases among African American Alternative High School Students: A Teacher's Practical Arguments and the Voice of the "Other"

ERIC Educational Resources Information Center

Wood, Lynda Charese

2012-01-01

The study of teaching and learning during the period of translating ideals of reform into classroom practice enables us to understand student-teacher-researcher symbiotic learning. In line with this assumption, the purpose of this study is threefold:(1) observe effects of the "Common Knowledge Construction Model" (CKCM), a conceptual…

From Creatures of Habit to Goal-Directed Learners: Tracking the Developmental Emergence of Model-Based Reinforcement Learning.

PubMed

Decker, Johannes H; Otto, A Ross; Daw, Nathaniel D; Hartley, Catherine A

2016-06-01

Theoretical models distinguish two decision-making strategies that have been formalized in reinforcement-learning theory. A model-based strategy leverages a cognitive model of potential actions and their consequences to make goal-directed choices, whereas a model-free strategy evaluates actions based solely on their reward history. Research in adults has begun to elucidate the psychological mechanisms and neural substrates underlying these learning processes and factors that influence their relative recruitment. However, the developmental trajectory of these evaluative strategies has not been well characterized. In this study, children, adolescents, and adults performed a sequential reinforcement-learning task that enabled estimation of model-based and model-free contributions to choice. Whereas a model-free strategy was apparent in choice behavior across all age groups, a model-based strategy was absent in children, became evident in adolescents, and strengthened in adults. These results suggest that recruitment of model-based valuation systems represents a critical cognitive component underlying the gradual maturation of goal-directed behavior. © The Author(s) 2016.

Using the Geospatial Web to Deliver and Teach Giscience Education Programs

NASA Astrophysics Data System (ADS)

Veenendaal, B.

2015-05-01

Geographic information science (GIScience) education has undergone enormous changes over the past years. One major factor influencing this change is the role of the geospatial web in GIScience. In addition to the use of the web for enabling and enhancing GIScience education, it is also used as the infrastructure for communicating and collaborating among geospatial data and users. The web becomes both the means and the content for a geospatial education program. However, the web does not replace the traditional face-to-face environment, but rather is a means to enhance it, expand it and enable an authentic and real world learning environment. This paper outlines the use of the web in both the delivery and content of the GIScience program at Curtin University. The teaching of the geospatial web, web and cloud based mapping, and geospatial web services are key components of the program, and the use of the web and online learning are important to deliver this program. Some examples of authentic and real world learning environments are provided including joint learning activities with partner universities.

Deep-Learning-Enabled On-Demand Design of Chiral Metamaterials.

PubMed

Ma, Wei; Cheng, Feng; Liu, Yongmin

2018-06-11

Deep-learning framework has significantly impelled the development of modern machine learning technology by continuously pushing the limit of traditional recognition and processing of images, speech, and videos. In the meantime, it starts to penetrate other disciplines, such as biology, genetics, materials science, and physics. Here, we report a deep-learning-based model, comprising two bidirectional neural networks assembled by a partial stacking strategy, to automatically design and optimize three-dimensional chiral metamaterials with strong chiroptical responses at predesignated wavelengths. The model can help to discover the intricate, nonintuitive relationship between a metamaterial structure and its optical responses from a number of training examples, which circumvents the time-consuming, case-by-case numerical simulations in conventional metamaterial designs. This approach not only realizes the forward prediction of optical performance much more accurately and efficiently but also enables one to inversely retrieve designs from given requirements. Our results demonstrate that such a data-driven model can be applied as a very powerful tool in studying complicated light-matter interactions and accelerating the on-demand design of nanophotonic devices, systems, and architectures for real world applications.

Diesel Equipment Department. Student Learning Guide.

ERIC Educational Resources Information Center

Palm Beach County Board of Public Instruction, West Palm Beach, FL.

Eleven student learning guides are provided for the duty entitled "completing core curriculum" of the diesel equipment program. Each learning guide concerns one of the tasks that comprise the duty. Introductory materials for each guide include the purpose and performance and enabling objectives. For each enabling objective, these materials are…

Supporting the "Collaborative" Part of Wiki-Mediated Collaborative Learning Activities

ERIC Educational Resources Information Center

Larusson, Johann Ari

2010-01-01

Prior research has highlighted the educational benefit of enabling students to participate in collaborative learning activities. Developing technology that extends the physical boundaries of the classroom and enables students to engage in meaningful collaborative learning activities outside class time can be of significant value. For any…

Learning by playing: how to create the perfect learning game for and with optics

NASA Astrophysics Data System (ADS)

Haist, Tobias; Burla, Avinash

2010-08-01

For children, playing and learning is often one thing. They learn while playing and by playing the right games they learn a lot. It is therefore obvious that we should use (among other things) games in order to fascinate children for optics and to teach them the basic laws of optics. In this contribution we will introduce different optical games for children in preschool and elementary school. The majority of commercial learning games on the market do not achieve the ambitious goal of leading to fun and knowledge since very often there are serious design flaws within these games. We introduce ten design rules for learning games that will enable you to create your own successful learning game for a special topic. Exemplary, we will show games based on and for color mixing and polarization.

Developing a multi-method approach to data collection and analysis for explaining the learning during simulation in undergraduate nurse education.

PubMed

Bland, Andrew J; Tobbell, Jane

2015-11-01

Simulation has become an established feature of undergraduate nurse education and as such requires extensive investigation. Research limited to pre-constructed categories imposed by some questionnaire and interview methods may only provide partial understanding. This is problematic in understanding the mechanisms of learning in simulation-based education as contemporary distributed theories of learning posit that learning can be understood as the interaction of individual identity with context. This paper details a method of data collection and analysis that captures interaction of individuals within the simulation experience which can be analysed through multiple lenses, including context and through the lens of both researcher and learner. The study utilised a grounded theory approach involving 31 under-graduate third year student nurses. Data was collected and analysed through non-participant observation, digital recordings of simulation activity and focus group deconstruction of their recorded simulation by the participants and researcher. Focus group interviews enabled further clarification. The method revealed multiple levels of dynamic data, concluding that in order to better understand how students learn in social and active learning strategies, dynamic data is required enabling researchers and participants to unpack what is happening as it unfolds in action. Copyright © 2015 Elsevier Ltd. All rights reserved.

Synaptic and nonsynaptic plasticity approximating probabilistic inference

PubMed Central

Tully, Philip J.; Hennig, Matthias H.; Lansner, Anders

2014-01-01

Learning and memory operations in neural circuits are believed to involve molecular cascades of synaptic and nonsynaptic changes that lead to a diverse repertoire of dynamical phenomena at higher levels of processing. Hebbian and homeostatic plasticity, neuromodulation, and intrinsic excitability all conspire to form and maintain memories. But it is still unclear how these seemingly redundant mechanisms could jointly orchestrate learning in a more unified system. To this end, a Hebbian learning rule for spiking neurons inspired by Bayesian statistics is proposed. In this model, synaptic weights and intrinsic currents are adapted on-line upon arrival of single spikes, which initiate a cascade of temporally interacting memory traces that locally estimate probabilities associated with relative neuronal activation levels. Trace dynamics enable synaptic learning to readily demonstrate a spike-timing dependence, stably return to a set-point over long time scales, and remain competitive despite this stability. Beyond unsupervised learning, linking the traces with an external plasticity-modulating signal enables spike-based reinforcement learning. At the postsynaptic neuron, the traces are represented by an activity-dependent ion channel that is shown to regulate the input received by a postsynaptic cell and generate intrinsic graded persistent firing levels. We show how spike-based Hebbian-Bayesian learning can be performed in a simulated inference task using integrate-and-fire (IAF) neurons that are Poisson-firing and background-driven, similar to the preferred regime of cortical neurons. Our results support the view that neurons can represent information in the form of probability distributions, and that probabilistic inference could be a functional by-product of coupled synaptic and nonsynaptic mechanisms operating over several timescales. The model provides a biophysical realization of Bayesian computation by reconciling several observed neural phenomena whose functional effects are only partially understood in concert. PMID:24782758

Career Advancement for Low-Income Workers through Community College and Community-Based Organization Partnerships.

ERIC Educational Resources Information Center

Roberts, Brandon

An increasing number of community colleges (CCs) and community-based organizations (CBOs) are now working in partnership to develop education and training programs enabling low-income workers to gain the education and skills necessary to obtain higher-wage jobs and develop a foundation for lifelong learning and career advancement. The following…

At-Risk Youth Find Work Hope in Work-Based Education

ERIC Educational Resources Information Center

Taylor, Connie E.; Hutchinson, Nancy L.; Ingersoll, Marcea; Dalton, C. J.; Dods, Jennifer; Godden, Lorraine; Chin, Peter; de Lugt, Jennifer

2015-01-01

The transition from school to the workplace has been identified as challenging for at-risk youth who have already disengaged from learning and feel disenfranchised in the context of school. Work-based education (WBE), including co-operative education, has been recognized in recent years as an effective strategy for enabling at-risk youth to…

Concept Mapping Your Web Searches: A Design Rationale and Web-Enabled Application

ERIC Educational Resources Information Center

Lee, Y.-J.

2004-01-01

Although it has become very common to use World Wide Web-based information in many educational settings, there has been little research on how to better search and organize Web-based information. This paper discusses the shortcomings of Web search engines and Web browsers as learning environments and describes an alternative Web search environment…

Introducing the ICF: the development of an online resource to support learning, teaching and curriculum design.

PubMed

Jones, Lester E

2011-03-01

The International Classification of Functioning, Disability and Health (ICF) was adopted as one of the key models to support early health professional learning across a suite of new preregistration health science courses. It was decided that an online resource should be developed to enable students, course designers and teaching staff, across all disciplines, to have access to the same definitions, government policies and other supporting information on disability. As part of the comprehensive curriculum review, enquiry-based learning was adopted as the educational approach. Enquiry-based learning promotes deeper learning by encouraging students to engage in authentic challenges. As such, it was important that the online resource was not merely a site for accessing content, but enabled students to make decisions about where else to explore for credible information about the ICF. The selection of a host location that all students and staff could access meant that the resource could not be located in the existing online learning management system. Construction using software being trialled by the library at La Trobe University allowed for the required access, as well as alignment with an enquiry-based learning approach. Consultation for the content of the online resource included formal and informal working groups on curriculum review. The published version included resources from the World Health Organization, examples of research completed within different disciplines, a test of knowledge and a preformatted search page. The format of the online resource allows for updating of information, and feedback on the utilisation of the software has been used to enhance the student experience. The key issues for the development of this online resource were accessibility for students and staff, alignment with the adopted educational approach, consultation with all disciplines, and ease of modification of information and format once published. Copyright © 2010 Chartered Society of Physiotherapy. Published by Elsevier Ltd. All rights reserved.

Consistent individual differences in human social learning strategies.

PubMed

Molleman, Lucas; van den Berg, Pieter; Weissing, Franz J

2014-04-04

Social learning has allowed humans to build up extensive cultural repertoires, enabling them to adapt to a wide variety of environmental and social conditions. However, it is unclear which social learning strategies people use, especially in social contexts where their payoffs depend on the behaviour of others. Here we show experimentally that individuals differ in their social learning strategies and that they tend to employ the same learning strategy irrespective of the interaction context. Payoff-based learners focus on their peers' success, while decision-based learners disregard payoffs and exclusively focus on their peers' past behaviour. These individual differences may be of considerable importance for cultural evolution. By means of a simple model, we demonstrate that groups harbouring individuals with different learning strategies may be faster in adopting technological innovations and can be more efficient through successful role differentiation. Our study highlights the importance of individual variation for human interactions and sheds new light on the dynamics of cultural evolution.

Drawing from Freirian empowerment methods to develop and use innovative learning maps: increasing enrollment of uninsured children on Detroit's eastside.

PubMed

Lopez, Ellen D S; Lichtenstein, Richard; Lewis, Alonzo; Banaszak-Holl, Jane; Lewis, Cheryl; Johnson, Penni; Riley, Scherry; Baum, Nancy M

2007-04-01

In 2001, virtually every child on Detroit's eastside was eligible for health coverage, yet approximately 3,000 children remained uninsured. The primary aim of the Eastside Access Partnership (EAP), a community-based participatory research collaboration, was to increase enrollment of uninsured children in state programs. To achieve this aim, one of the approaches that EAP is using is the innovative Learning Map titled Choosing the Healthy Path, which was developed in collaboration with Root Learning, Inc. Although Learning Maps were originally developed to assist corporations in implementing strategic change, their integration of visualization and interactive dialogue incorporates Freirian principles of empowerment education, making them a viable option for providing meaningful learning opportunities for community residents. This article presents the collaborative process involving the University of Michigan, local community-based organizations, community members, and Root Learning consultants to develop a visual map that enables community residents to understand and overcome the barriers that prevent them from obtaining health insurance for their children.

Optimizing Virtual Network Functions Placement in Virtual Data Center Infrastructure Using Machine Learning

NASA Astrophysics Data System (ADS)

Bolodurina, I. P.; Parfenov, D. I.

2018-01-01

We have elaborated a neural network model of virtual network flow identification based on the statistical properties of flows circulating in the network of the data center and characteristics that describe the content of packets transmitted through network objects. This enabled us to establish the optimal set of attributes to identify virtual network functions. We have established an algorithm for optimizing the placement of virtual data functions using the data obtained in our research. Our approach uses a hybrid method of visualization using virtual machines and containers, which enables to reduce the infrastructure load and the response time in the network of the virtual data center. The algorithmic solution is based on neural networks, which enables to scale it at any number of the network function copies.

100 Students

ERIC Educational Resources Information Center

Riskowski, Jody L.; Olbricht, Gayla; Wilson, Jennifer

2010-01-01

Statistics is the art and science of gathering, analyzing, and making conclusions from data. However, many people do not fully understand how to interpret statistical results and conclusions. Placing students in a collaborative environment involving project-based learning may enable them to overcome misconceptions of probability and enhance the…

Learning gestures for customizable human-computer interaction in the operating room.

PubMed

Schwarz, Loren Arthur; Bigdelou, Ali; Navab, Nassir

2011-01-01

Interaction with computer-based medical devices in the operating room is often challenging for surgeons due to sterility requirements and the complexity of interventional procedures. Typical solutions, such as delegating the interaction task to an assistant, can be inefficient. We propose a method for gesture-based interaction in the operating room that surgeons can customize to personal requirements and interventional workflow. Given training examples for each desired gesture, our system learns low-dimensional manifold models that enable recognizing gestures and tracking particular poses for fine-grained control. By capturing the surgeon's movements with a few wireless body-worn inertial sensors, we avoid issues of camera-based systems, such as sensitivity to illumination and occlusions. Using a component-based framework implementation, our method can easily be connected to different medical devices. Our experiments show that the approach is able to robustly recognize learned gestures and to distinguish these from other movements.

Teaching practice of the course of Laser Principle and Application based on PBL mode

NASA Astrophysics Data System (ADS)

Li, Yongliang; Lv, Beibei; Wang, Siqi

2017-08-01

The primary task of university education is to stimulate students' autonomic learning and cultivate students' creative thinking. This paper put to use problem based learning (PBL) teaching mode, to enable students master flexible knowledge as the goal, and a detailed analysis of the implementation method and concrete measures of PBL teaching reform in the course of Laser Principle and Application, then compared with the former teaching methods. From the feedback of students and teaching experience, we get good teaching effect and prove the feasibility of PBL teaching mode in practice.

Recommendation of standardized health learning contents using archetypes and semantic web technologies.

PubMed

Legaz-García, María del Carmen; Martínez-Costa, Catalina; Menárguez-Tortosa, Marcos; Fernández-Breis, Jesualdo Tomás

2012-01-01

Linking Electronic Healthcare Records (EHR) content to educational materials has been considered a key international recommendation to enable clinical engagement and to promote patient safety. This would suggest citizens to access reliable information available on the web and to guide them properly. In this paper, we describe an approach in that direction, based on the use of dual model EHR standards and standardized educational contents. The recommendation method will be based on the semantic coverage of the learning content repository for a particular archetype, which will be calculated by applying semantic web technologies like ontologies and semantic annotations.

Recasting Distance Learning with Network-Enabled Open Education: An Interview with Vijay Kumar

ERIC Educational Resources Information Center

Morrison, James L.; Kumar, Vijay

2008-01-01

In an interview with James Morrison, "Innovate's" editor-in-chief, Vijay Kumar describes how rethinking distance learning as network-enabled open education can catalyze a whole new set of learning opportunities. The growing open-education movement has made an increasing number and variety of resources freely available online, including everything…

Effect of reinforcement learning on coordination of multiangent systems

NASA Astrophysics Data System (ADS)

Bukkapatnam, Satish T. S.; Gao, Greg

2000-12-01

For effective coordination of distributed environments involving multiagent systems, learning ability of each agent in the environment plays a crucial role. In this paper, we develop a simple group learning method based on reinforcement, and study its effect on coordination through application to a supply chain procurement scenario involving a computer manufacturer. Here, all parties are represented by self-interested, autonomous agents, each capable of performing specific simple tasks. They negotiate with each other to perform complex tasks and thus coordinate supply chain procurement. Reinforcement learning is intended to enable each agent to reach a best negotiable price within a shortest possible time. Our simulations of the application scenario under different learning strategies reveals the positive effects of reinforcement learning on an agent's as well as the system's performance.

Evaluation of a web-based family medicine case library for self-directed learning in a third-year clerkship.

PubMed

Morrow, Jay B; Sepdham, Dan; Snell, Laura; Lindeman, Carolyn; Dobbie, Alison

2010-01-01

Web-based cases are well accepted by medical students and enable faculty to deliver equivalent educational experiences to all students. A 2009 literature search revealed no study investigating student use patterns of Web-based case libraries for self-directed learning. We investigated third-year students' use of a Web-based case program for self-directed learning in a family medicine clerkship. We analyzed Design A Case usage patterns of 210 medical students during academic year 2008--2009. We compared board score differences between these students and those from the previous 5 years who did not use Design A Case. We analyzed data from a 13-item survey, administered to a subgroup of 85 students, about the strengths, weaknesses, and acceptability of the program. Students completed, on average, four cases, which was beyond the requirement of three. They reported that the content was highly relevant to cases they saw in clinic. Almost 75% preferred the self-directed Web-based learning over didactics, and most (64%) felt they learned more electronically. Use of the cases was associated with equivalent Board scores versus didactic lectures. In our setting, self-directed learning using a Web-based case program was highly acceptable to students. Web-based cases may provide an option for family medicine educators who wish to deliver equivalent educational experiences across sites.

Distance Learning as a Tool for Poverty Reduction and Economic Development: A Focus on China and Mexico

NASA Astrophysics Data System (ADS)

Larson, Richard C.; Murray, M. Elizabeth

2008-04-01

This paper uses case studies to focus on distance learning in developing countries as an enabler for economic development and poverty reduction. To provide perspective, we first review the history of telecottages, local technology-equipped facilities to foster community-based learning, which have evolved into "telecenters" or "Community Learning Centers" (CLCs). Second, we describe extensive site visits to CLCs in impoverished portions of China and Mexico, the centers operated by premier universities in each respective country. These CLCs constitute the core of new emerging systems of distance education, and their newness poses challenges and opportunities, which are discussed. Finally, we offer 12 points to develop further the concept and reality of distance learning in support of economic development.

Deep learning and texture-based semantic label fusion for brain tumor segmentation

NASA Astrophysics Data System (ADS)

Vidyaratne, L.; Alam, M.; Shboul, Z.; Iftekharuddin, K. M.

2018-02-01

Brain tumor segmentation is a fundamental step in surgical treatment and therapy. Many hand-crafted and learning based methods have been proposed for automatic brain tumor segmentation from MRI. Studies have shown that these approaches have their inherent advantages and limitations. This work proposes a semantic label fusion algorithm by combining two representative state-of-the-art segmentation algorithms: texture based hand-crafted, and deep learning based methods to obtain robust tumor segmentation. We evaluate the proposed method using publicly available BRATS 2017 brain tumor segmentation challenge dataset. The results show that the proposed method offers improved segmentation by alleviating inherent weaknesses: extensive false positives in texture based method, and the false tumor tissue classification problem in deep learning method, respectively. Furthermore, we investigate the effect of patient's gender on the segmentation performance using a subset of validation dataset. Note the substantial improvement in brain tumor segmentation performance proposed in this work has recently enabled us to secure the first place by our group in overall patient survival prediction task at the BRATS 2017 challenge.

Deep Learning and Texture-Based Semantic Label Fusion for Brain Tumor Segmentation.

PubMed

Vidyaratne, L; Alam, M; Shboul, Z; Iftekharuddin, K M

2018-01-01

Brain tumor segmentation is a fundamental step in surgical treatment and therapy. Many hand-crafted and learning based methods have been proposed for automatic brain tumor segmentation from MRI. Studies have shown that these approaches have their inherent advantages and limitations. This work proposes a semantic label fusion algorithm by combining two representative state-of-the-art segmentation algorithms: texture based hand-crafted, and deep learning based methods to obtain robust tumor segmentation. We evaluate the proposed method using publicly available BRATS 2017 brain tumor segmentation challenge dataset. The results show that the proposed method offers improved segmentation by alleviating inherent weaknesses: extensive false positives in texture based method, and the false tumor tissue classification problem in deep learning method, respectively. Furthermore, we investigate the effect of patient's gender on the segmentation performance using a subset of validation dataset. Note the substantial improvement in brain tumor segmentation performance proposed in this work has recently enabled us to secure the first place by our group in overall patient survival prediction task at the BRATS 2017 challenge.

Interactive Cumulative Burden Assessment: Engaging Stakeholders in an Adaptive, Participatory and Transdisciplinary Approach

PubMed Central

Shrestha, Rehana; van Maarseveen, Martin

2018-01-01

Cumulative burden assessment (CuBA) has the potential to inform planning and decision-making on health disparities related to multiple environmental burdens. However, scholars have raised concerns about the social complexity to be dealt with while conducting CuBA, suggesting that it should be addressed in an adaptive, participatory and transdisciplinary (APT) approach. APT calls for deliberation among stakeholders by engaging them in a process of social learning and knowledge co-production. We propose an interactive stakeholder-based approach that facilitates a science-based stakeholder dialogue as an interface for combining different knowledge domains and engendering social learning in CuBA processes. Our approach allows participants to interact with each other using a flexible and auditable CuBA model implemented within a shared workspace. In two workshops we explored the usefulness and practicality of the approach. Results show that stakeholders were enabled to deliberate on cumulative burdens collaboratively, to learn about the technical uncertainties and social challenges associated with CuBA, and to co-produce knowledge in a realm of both technical and societal challenges. The paper identifies potential benefits relevant for responding to social complexity in the CuBA and further recommends exploration of how our approach can enable or constraint social learning and knowledge co-production in CuBA processes under various institutional, social and political contexts. PMID:29401676

Task-Based Core-Periphery Organization of Human Brain Dynamics

PubMed Central

Bassett, Danielle S.; Wymbs, Nicholas F.; Rombach, M. Puck; Porter, Mason A.; Mucha, Peter J.; Grafton, Scott T.

2013-01-01

As a person learns a new skill, distinct synapses, brain regions, and circuits are engaged and change over time. In this paper, we develop methods to examine patterns of correlated activity across a large set of brain regions. Our goal is to identify properties that enable robust learning of a motor skill. We measure brain activity during motor sequencing and characterize network properties based on coherent activity between brain regions. Using recently developed algorithms to detect time-evolving communities, we find that the complex reconfiguration patterns of the brain's putative functional modules that control learning can be described parsimoniously by the combined presence of a relatively stiff temporal core that is composed primarily of sensorimotor and visual regions whose connectivity changes little in time and a flexible temporal periphery that is composed primarily of multimodal association regions whose connectivity changes frequently. The separation between temporal core and periphery changes over the course of training and, importantly, is a good predictor of individual differences in learning success. The core of dynamically stiff regions exhibits dense connectivity, which is consistent with notions of core-periphery organization established previously in social networks. Our results demonstrate that core-periphery organization provides an insightful way to understand how putative functional modules are linked. This, in turn, enables the prediction of fundamental human capacities, including the production of complex goal-directed behavior. PMID:24086116

Enabling Pedagogy and Andragogy for 21st-Century Sign Language Users and Learners

ERIC Educational Resources Information Center

Hermann-Shores, Patricia

2017-01-01

Enabling pedagogy and andragogy is discussed as a form of lifelong learning in which learners attain competences and skills as children (pedagogy) and as adults (andragogy) that enable them to engage in independent learning in the 21st century. Throughout the article the author avoids as much as possible the labels "deaf" and…

The Convallis Rule for Unsupervised Learning in Cortical Networks

PubMed Central

Yger, Pierre; Harris, Kenneth D.

2013-01-01

The phenomenology and cellular mechanisms of cortical synaptic plasticity are becoming known in increasing detail, but the computational principles by which cortical plasticity enables the development of sensory representations are unclear. Here we describe a framework for cortical synaptic plasticity termed the “Convallis rule”, mathematically derived from a principle of unsupervised learning via constrained optimization. Implementation of the rule caused a recurrent cortex-like network of simulated spiking neurons to develop rate representations of real-world speech stimuli, enabling classification by a downstream linear decoder. Applied to spike patterns used in in vitro plasticity experiments, the rule reproduced multiple results including and beyond STDP. However STDP alone produced poorer learning performance. The mathematical form of the rule is consistent with a dual coincidence detector mechanism that has been suggested by experiments in several synaptic classes of juvenile neocortex. Based on this confluence of normative, phenomenological, and mechanistic evidence, we suggest that the rule may approximate a fundamental computational principle of the neocortex. PMID:24204224

Collaboration and Dialogue in Virtual Reality

ERIC Educational Resources Information Center

Jensen, Camilla Gyldendahl

2017-01-01

"Virtual reality" adds a new dimension to problem-based learning (PBL) environments in the architecture and building construction educations, where a realistic and lifelike presence in a building enables students to assess and discuss how the various solutions interact with each other. Combined with "Building Information…

Computational neuroanatomy using brain deformations: From brain parcellation to multivariate pattern analysis and machine learning.

PubMed

Davatzikos, Christos

2016-10-01

The past 20 years have seen a mushrooming growth of the field of computational neuroanatomy. Much of this work has been enabled by the development and refinement of powerful, high-dimensional image warping methods, which have enabled detailed brain parcellation, voxel-based morphometric analyses, and multivariate pattern analyses using machine learning approaches. The evolution of these 3 types of analyses over the years has overcome many challenges. We present the evolution of our work in these 3 directions, which largely follows the evolution of this field. We discuss the progression from single-atlas, single-registration brain parcellation work to current ensemble-based parcellation; from relatively basic mass-univariate t-tests to optimized regional pattern analyses combining deformations and residuals; and from basic application of support vector machines to generative-discriminative formulations of multivariate pattern analyses, and to methods dealing with heterogeneity of neuroanatomical patterns. We conclude with discussion of some of the future directions and challenges. Copyright © 2016. Published by Elsevier B.V.

Sequential neuromodulation of Hebbian plasticity offers mechanism for effective reward-based navigation

PubMed Central

Brzosko, Zuzanna; Zannone, Sara; Schultz, Wolfram

2017-01-01

Spike timing-dependent plasticity (STDP) is under neuromodulatory control, which is correlated with distinct behavioral states. Previously, we reported that dopamine, a reward signal, broadens the time window for synaptic potentiation and modulates the outcome of hippocampal STDP even when applied after the plasticity induction protocol (Brzosko et al., 2015). Here, we demonstrate that sequential neuromodulation of STDP by acetylcholine and dopamine offers an efficacious model of reward-based navigation. Specifically, our experimental data in mouse hippocampal slices show that acetylcholine biases STDP toward synaptic depression, whilst subsequent application of dopamine converts this depression into potentiation. Incorporating this bidirectional neuromodulation-enabled correlational synaptic learning rule into a computational model yields effective navigation toward changing reward locations, as in natural foraging behavior. Thus, temporally sequenced neuromodulation of STDP enables associations to be made between actions and outcomes and also provides a possible mechanism for aligning the time scales of cellular and behavioral learning. DOI: http://dx.doi.org/10.7554/eLife.27756.001 PMID:28691903

Computational neuroanatomy using brain deformations: From brain parcellation to multivariate pattern analysis and machine learning

PubMed Central

Davatzikos, Christos

2017-01-01

The past 20 years have seen a mushrooming growth of the field of computational neuroanatomy. Much of this work has been enabled by the development and refinement of powerful, high-dimensional image warping methods, which have enabled detailed brain parcellation, voxel-based morphometric analyses, and multivariate pattern analyses using machine learning approaches. The evolution of these 3 types of analyses over the years has overcome many challenges. We present the evolution of our work in these 3 directions, which largely follows the evolution of this field. We discuss the progression from single-atlas, single-registration brain parcellation work to current ensemble-based parcellation; from relatively basic mass-univariate t-tests to optimized regional pattern analyses combining deformations and residuals; and from basic application of support vector machines to generative-discriminative formulations of multivariate pattern analyses, and to methods dealing with heterogeneity of neuroanatomical patterns. We conclude with discussion of some of the future directions and challenges. PMID:27514582

A work-based learning approach for clinical support workers on mental health inpatient wards.

PubMed

Kemp, Philip; Gilding, Moorene; Seewooruttun, Khooseal; Walsh, Hannah

2016-09-14

Background With a rise in the number of unqualified staff providing health and social care, and reports raising concerns about the quality of care provided, there is a need to address the learning needs of clinical support workers. This article describes a qualitative evaluation of a service improvement project that involved a work-based learning approach for clinical support workers on mental health inpatient wards. Aim To investigate and identify insights in relation to the content and process of learning using a work-based learning approach for clinical support workers. Method This was a qualitative evaluation of a service improvement project involving 25 clinical support workers at the seven mental health inpatient units in South London and Maudsley NHS Foundation Trust. Three clinical skills tutors were appointed to develop, implement and evaluate the work-based learning approach. Four sources of data were used to evaluate this approach, including reflective journals, qualitative responses to questionnaires, three focus groups involving the clinical support workers and a group interview involving the clinical skills tutors. Data were analysed using thematic analysis. Findings The work-based learning approach was highly valued by the clinical support workers and enhanced learning in practice. Face-to-face learning in practice helped the clinical support workers to develop practice skills and reflective learning skills. Insights relating to the role of clinical support workers were also identified, including the benefits of face-to-face supervision in practice, particularly in relation to the interpersonal aspects of care. Conclusion A work-based learning approach has the potential to enhance care delivery by meeting the learning needs of clinical support workers and enabling them to apply learning to practice. Care providers should consider how the work-based learning approach can be used on a systematic, organisation-wide basis in the context of budgetary restrictions.

Work-based assessment: qualitative perspectives of novice nutrition and dietetics educators.

PubMed

Palermo, C; Beck, E J; Chung, A; Ash, S; Capra, S; Truby, H; Jolly, B

2014-10-01

The assessment of competence for health professionals including nutrition and dietetics professionals in work-based settings is challenging. The present study aimed to explore the experiences of educators involved in the assessment of nutrition and dietetics students in the practice setting and to identify barriers and enablers to effective assessment. A qualitative research approach using in-depth interviews was employed with a convenience sample of inexperienced dietitian assessors. Interviews explored assessment practices and challenges. Data were analysed using a thematic approach within a phenomenological framework. Twelve relatively inexperienced practice educators were purposefully sampled to take part in the present study. Three themes emerged from these data. (i) Student learning and thus assessment is hindered by a number of barriers, including workload demands and case-mix. Some workplaces are challenged to provide appropriate learning opportunities and environment. Adequate support for placement educators from the university, managers and their peers and planning are enablers to effective assessment. (ii) The role of the assessor and their relationship with students impacts on competence assessment. (iii) There is a lack of clarity in the tasks and responsibilities of competency-based assessment. The present study provides perspectives on barriers and enablers to effective assessment. It highlights the importance of reflective practice and feedback in assessment practices that are synonymous with evidence from other disciplines, which can be used to better support a work-based competency assessment of student performance. © 2013 The British Dietetic Association Ltd.

System light-loading technology for mHealth: Manifold-learning-based medical data cleansing and clinical trials in WE-CARE Project.

PubMed

Huang, Anpeng; Xu, Wenyao; Li, Zhinan; Xie, Linzhen; Sarrafzadeh, Majid; Li, Xiaoming; Cong, Jason

2014-09-01

Cardiovascular disease (CVD) is a major issue to public health. It contributes 41% to the Chinese death rate each year. This huge loss encouraged us to develop a Wearable Efficient teleCARdiology systEm (WE-CARE) for early warning and prevention of CVD risks in real time. WE-CARE is expected to work 24/7 online for mobile health (mHealth) applications. Unfortunately, this purpose is often disrupted in system experiments and clinical trials, even if related enabling technologies work properly. This phenomenon is rooted in the overload issue of complex Electrocardiogram (ECG) data in terms of system integration. In this study, our main objective is to get a system light-loading technology to enable mHealth with a benchmarked ECG anomaly recognition rate. To achieve this objective, we propose an approach to purify clinical features from ECG raw data based on manifold learning, called the Manifold-based ECG-feature Purification algorithm. Our clinical trials verify that our proposal can detect anomalies with a recognition rate of up to 94% which is highly valuable in daily public health-risk alert applications based on clinical criteria. Most importantly, the experiment results demonstrate that the WE-CARE system enabled by our proposal can enhance system reliability by at least two times and reduce false negative rates to 0.76%, and extend the battery life by 40.54%, in the system integration level.

Anatomy drawing screencasts: enabling flexible learning for medical students.

PubMed

Pickering, James D

2015-01-01

The traditional lecture remains an essential method of disseminating information to medical students. However, due to the constant development of the modern medical curriculum many institutions are embracing novel means for delivering the core anatomy syllabus. Using mobile media devices is one such way, enabling students to access core material at a time and place that suits their specific learning style. This study has examined the effect of five anatomy drawing screencasts that replicate the popular anatomy drawing element of a lecture. These resources were uploaded to the University's Virtual Learning Environment for student access. Usage data and an end of module questionnaire were used to assess the impact of the screencasts on student education. The data revealed a high level of usage that varied in both the time of day and day of the week, with the number of downloads dramatically increasing towards the end of the module when the assessment was approaching. The student group found the additional resources extremely useful in consolidating information and revision, with many commenting on their preference to the screencasts compared to the more traditional approaches to learning. Scrutinizing the screencasts in relation to cognitive load theory and the cognitive theory of multimedia learning indicates a high correlation with an evidence-based approach to designing learning resources. Overall the screencasts have been a well-received enhancement that supports the student learning and has been shown to promote flexible learning. © 2014 American Association of Anatomists.

Evidence-Based Principles for Using Technology-Enhanced Learning in the Continuing Professional Development of Health Professionals.

PubMed

Scott, Karen M; Baur, Louise; Barrett, Jenny

2017-01-01

Increasingly, health professional training involves the use of educational technologies through what is broadly termed "Technology-Enhanced Learning" (TEL). TEL includes hardware, such as computers and mobile devices, and software, such as software applications (apps), learning management systems, and discussion boards. For many years, TEL has formed an integral part of health professional programs and is growing in acceptance, if not expectation, in postgraduate training and continuing education. TEL generally aims to be flexible, engaging, learner focused and interactive, and may involve collaboration and communication. It offers many benefits for learning and teaching, whether used on its own or in conjunction with face-to-face teaching through blended learning. The ubiquity of mobile devices in clinical settings means TEL is ideal for busy clinicians, both as learners and teachers. TEL enables participants to learn at a time and place that is convenient to them, so learners living in geographically dispersed locations can access standardized courses. To realize these potential benefits, we recommend that those developing TEL programs for health professionals take a systematic approach to planning, development, implementation, and evaluation. To that end, we propose 10 principles: clarify purpose and conduct a needs assessment; allocate adequate time and technology; incorporate proven approaches to improve learning; consider the need for a skills component; enable interaction between learners and with others; create different resources for different groups; pilot before implementing; incorporate measures to retain learners; provide opportunities for revision to aid retention; and evaluate learning outcomes, not just satisfaction.

[Applying Game-Based Learning in Nursing Education: Empathy Board Game Learning].

PubMed

Lu, Chueh-Fen; Wu, Shu-Mei; Shu, Ying-Mei; Yeh, Mei-Yu

2018-02-01

Attending lectures and reading are two common approaches to acquiring knowledge, while repetitive practice is a common approach to acquiring skills. Nurturing proper attitudes in students is one of the greatest challenges for educators. Health professionals must incorporate empathy into their practice. Creative teaching strategies may offer a feasible approach to enhancing empathy-related competence. The present article focuses on analyzing current, empathy-related curriculums in nursing education in Taiwan, exploring the concepts of empathy and game-based learning, presenting the development of an empathy board game as a teaching aid, and, finally, evaluating the developed education application. Based on the learner-centered principle, this aid was designed with peer learning, allowing learners to influence the learning process, to simulate the various roles of clients, and to develop diverse interpersonal dialogues. The continuous learning loops were formed using the gamification mechanism and transformation, enabling students to connect and practice the three elements of empathy ability: emotion, cognition and expression. Via the game elements of competition, interaction, storytelling, real-time responses, concretizing feedback, integrated peer learning, and equality between teachers and students, students who play patient roles are able to perceive different levels of comfort, which encourages the development of insight into the meaning of empathy. Thereby, the goals of the empathy lesson is achievable within a creative game-based learning environment.

The autonomous sciencecraft constellations

NASA Technical Reports Server (NTRS)

Sherwood, R. L.; Chien, S.; Castano, R.; Rabideau, G.

2003-01-01

The Autonomous Sciencecraft Experiment (ASE) will fly onboard the Air Force TechSat 21 constellation of three spacecraft scheduled for launch in 2006. ASE uses onboard continuous planning, robust task and goal-based execution, model-based mode identification and reconfiguration, and onboard machine learning and pattern recognition to radically increase science return by enabling intelligent downlink selection and autonomous retargeting. In this paper we discuss how these AI technologies are synergistically integrated in a hybrid multi-layer control architecture to enable a virtual spacecraft science agent. Demonstration of these capabilities in a flight environment will open up tremendous new opportunities in planetary science, space physics, and earth science that would be unreachable without this technology.

Algorithm Building and Learning Programming Languages Using a New Educational Paradigm

NASA Astrophysics Data System (ADS)

Jain, Anshul K.; Singhal, Manik; Gupta, Manu Sheel

2011-08-01

This research paper presents a new concept of using a single tool to associate syntax of various programming languages, algorithms and basic coding techniques. A simple framework has been programmed in Python that helps students learn skills to develop algorithms, and implement them in various programming languages. The tool provides an innovative and a unified graphical user interface for development of multimedia objects, educational games and applications. It also aids collaborative learning amongst students and teachers through an integrated mechanism based on Remote Procedure Calls. The paper also elucidates an innovative method for code generation to enable students to learn the basics of programming languages using drag-n-drop methods for image objects.

Malaysian registered nurses' professional learning.

PubMed

Chiu, Lee H

2006-01-01

Findings of a study of the impact of professional learning on Malaysian registered nurses are reported. The offshore delivery post-registration nursing degree programme is a formal aspect of professional learning, which enables Malaysian registered nurses to upgrade their hospital-based training or diploma of nursing qualification to a degree. Using a qualitative case study approach, data were collected from twelve programme graduates, through individual and focus group interviews. The programme promoted their personal professional growth and enhanced their professional development. It increased self-confidence, knowledge, self-fulfillment, critical thinking ability, interpersonal skills, interest in research and research utilisation, and life-long learning. There was evidence of career mobility and a raised awareness of their professional role and responsibility.

Evaluation of Student Models on Current Socio-Scientific Topics Based on System Dynamics

ERIC Educational Resources Information Center

Nuhoglu, Hasret

2014-01-01

This study aims to 1) enable primary school students to develop models that will help them understand and analyze a system, through a learning process based on system dynamics approach, 2) examine and evaluate students' models related to socio-scientific issues using certain criteria. The research method used is a case study. The study sample…

Post-Coma Persons Emerged from a Minimally Conscious State and Showing Multiple Disabilities Learn to Manage a Radio-Listening Activity

ERIC Educational Resources Information Center

Lancioni, Giulio E.; Singh, Nirbhay N.; O'Reilly, Mark F.; Sigafoos, Jeff; Colonna, Fabio; Buonocunto, Francesca; Sacco, Valentina; Megna, Marisa; Oliva, Doretta

2012-01-01

This study assessed microswitch-based technology to enable three post-coma adults, who had emerged from a minimally conscious state but presented motor and communication disabilities, to operate a radio device. The material involved a modified radio device, a microprocessor-based electronic control unit, a personal microswitch, and an amplified…

Head in the Clouds: A Review of Current and Future Potential for Cloud-Enabled Pedagogies

ERIC Educational Resources Information Center

Stevenson, Michael; Hedberg, John G.

2011-01-01

This paper reviews the research on the disruptive and transformative potential of newly-emerging cloud-based pedagogies. It takes into consideration the extent to which Cloud Computing can be leveraged to disseminate and scale web-based applications within and across learning contexts. It examines ideas from current literature in Web 2.0- and…

Autonomous planning and scheduling on the TechSat 21 mission

NASA Technical Reports Server (NTRS)

Sherwood, R.; Chien, S.; Castano, R.; Rabideau, G.

2002-01-01

The Autonomous Sciencecraft Experiment (ASE) will fly onboard the Air Force TechSat 21 constellation of three spacecraft scheduled for launch in 2006. ASE uses onboard continuous planning, robust task and goal-based execution, model-based mode identification and reconfiguration, and onboard machine learning and pattern recognition to radically increase science return by enabling intelligent downlink selection and autonomous retargeting.

Learning topic models by belief propagation.

PubMed

Zeng, Jia; Cheung, William K; Liu, Jiming

2013-05-01

Latent Dirichlet allocation (LDA) is an important hierarchical Bayesian model for probabilistic topic modeling, which attracts worldwide interest and touches on many important applications in text mining, computer vision and computational biology. This paper represents the collapsed LDA as a factor graph, which enables the classic loopy belief propagation (BP) algorithm for approximate inference and parameter estimation. Although two commonly used approximate inference methods, such as variational Bayes (VB) and collapsed Gibbs sampling (GS), have gained great success in learning LDA, the proposed BP is competitive in both speed and accuracy, as validated by encouraging experimental results on four large-scale document datasets. Furthermore, the BP algorithm has the potential to become a generic scheme for learning variants of LDA-based topic models in the collapsed space. To this end, we show how to learn two typical variants of LDA-based topic models, such as author-topic models (ATM) and relational topic models (RTM), using BP based on the factor graph representations.

Methodology of problem-based learning engineering and technology and of its implementation with modern computer resources

NASA Astrophysics Data System (ADS)

Lebedev, A. A.; Ivanova, E. G.; Komleva, V. A.; Klokov, N. M.; Komlev, A. A.

2017-01-01

The considered method of learning the basics of microelectronic circuits and systems amplifier enables one to understand electrical processes deeper, to understand the relationship between static and dynamic characteristics and, finally, bring the learning process to the cognitive process. The scheme of problem-based learning can be represented by the following sequence of procedures: the contradiction is perceived and revealed; the cognitive motivation is provided by creating a problematic situation (the mental state of the student), moving the desire to solve the problem, to raise the question "why?", the hypothesis is made; searches for solutions are implemented; the answer is looked for. Due to the complexity of architectural schemes in the work the modern methods of computer analysis and synthesis are considered in the work. Examples of engineering by students in the framework of students' scientific and research work of analog circuits with improved performance based on standard software and software developed at the Department of Microelectronics MEPhI.

Enhancing understanding and improving prediction of severe weather through spatiotemporal relational learning.

PubMed

McGovern, Amy; Gagne, David J; Williams, John K; Brown, Rodger A; Basara, Jeffrey B

Severe weather, including tornadoes, thunderstorms, wind, and hail annually cause significant loss of life and property. We are developing spatiotemporal machine learning techniques that will enable meteorologists to improve the prediction of these events by improving their understanding of the fundamental causes of the phenomena and by building skillful empirical predictive models. In this paper, we present significant enhancements of our Spatiotemporal Relational Probability Trees that enable autonomous discovery of spatiotemporal relationships as well as learning with arbitrary shapes. We focus our evaluation on two real-world case studies using our technique: predicting tornadoes in Oklahoma and predicting aircraft turbulence in the United States. We also discuss how to evaluate success for a machine learning algorithm in the severe weather domain, which will enable new methods such as ours to transfer from research to operations, provide a set of lessons learned for embedded machine learning applications, and discuss how to field our technique.

Work-based learning: making a difference in practice.

PubMed

Chapman, Linda; Howkins, Elizabeth

Nurses play an increasingly crucial role in ensuring that patients receive the best possible care, and strive to lead innovations in health care. Changing practice is not easy and many nurses do not have the leadership skills or confidence to push for change. Therefore, they need to know that they are supported and encouraged to bring about change in nursing practice. Primary care trusts in the west of Berkshire and a university based in Reading have worked together to respond to this challenge by developing and implementing a flexible, accredited, work-based educational programme. The programme ensures that patients remain at the heart of learning by enabling nurses to lead and influence practice.

Patient-Centered Precision Health In A Learning Health Care System: Geisinger's Genomic Medicine Experience.

PubMed

Williams, Marc S; Buchanan, Adam H; Davis, F Daniel; Faucett, W Andrew; Hallquist, Miranda L G; Leader, Joseph B; Martin, Christa L; McCormick, Cara Z; Meyer, Michelle N; Murray, Michael F; Rahm, Alanna K; Schwartz, Marci L B; Sturm, Amy C; Wagner, Jennifer K; Williams, Janet L; Willard, Huntington F; Ledbetter, David H

2018-05-01

Health care delivery is increasingly influenced by the emerging concepts of precision health and the learning health care system. Although not synonymous with precision health, genomics is a key enabler of individualized care. Delivering patient-centered, genomics-informed care based on individual-level data in the current national landscape of health care delivery is a daunting challenge. Problems to overcome include data generation, analysis, storage, and transfer; knowledge management and representation for patients and providers at the point of care; process management; and outcomes definition, collection, and analysis. Development, testing, and implementation of a genomics-informed program requires multidisciplinary collaboration and building the concepts of precision health into a multilevel implementation framework. Using the principles of a learning health care system provides a promising solution. This article describes the implementation of population-based genomic medicine in an integrated learning health care system-a working example of a precision health program.

Pedagogical Scholarship in Public Health: A Call for Cultivating Learning Communities to Support Evidence-Based Education.

PubMed

Merzel, Cheryl; Halkitis, Perry; Healton, Cheryl

Public health education is experiencing record growth and transformation. The current emphasis on learning outcomes necessitates attention to creating and evaluating the best curricula and learning methods for helping public health students develop public health competencies. Schools and programs of public health would benefit from active engagement in pedagogical research and additional platforms to support dissemination and implementation of educational research findings. We reviewed current avenues for sharing public health educational research, curricula, and best teaching practices; we identified useful models from other health professions; and we offered suggestions for how the field of public health education can develop communities of learning devoted to supporting pedagogy. Our goal was to help advance an agenda of innovative evidence-based public health education, enabling schools and programs of public health to evaluate and measure success in meeting the current and future needs of the public health profession.

Making Conferences Human Places of Learning

ERIC Educational Resources Information Center

Kenny, Michael

2014-01-01

Open Space Technology is a cumbersome name for a participative conference model that enables dynamic inclusive engagement and challenges traditional, highly structured hierarchical conference formats. Based on self-organising systems, (Wenger, 1998) Open Space Technology conferences have an open process, start with no agenda and empower the most…

Communication Breakdown: How Conflict Can Promote Responsible Leadership in Students

ERIC Educational Resources Information Center

Higham, Rupert

2016-01-01

This study of an outdoor-based leadership course for teenagers shows how open-ended, difficult group tasks can enable participants to develop "dispositions for learning," which promote "responsible leadership." The latter is defined as responding ethically and uniquely to encounters with difference. Uses of educational…

Experiences of Student Mathematics-Teachers in Computer-Based Mathematics Learning Environment

ERIC Educational Resources Information Center

Karatas, Ilhan

2011-01-01

Computer technology in mathematics education enabled the students find many opportunities for investigating mathematical relationships, hypothesizing, and making generalizations. These opportunities were provided to pre-service teachers through a faculty course. At the end of the course, the teachers were assigned project tasks involving…

Academic Web Authoring Mulitmedia Development and Course Management Tools

ERIC Educational Resources Information Center

Halloran, Margaret E.

2005-01-01

Course management software enables faculty members to learn one software package for web-based curriculum, assessment, synchronous and asynchronous discussions, collaborative work, multimedia and interactive resource development. There are as many as 109 different course management software packages on the market and several studies have evaluated…

Molecular substrates of action control in cortico-striatal circuits.

PubMed

Shiflett, Michael W; Balleine, Bernard W

2011-09-15

The purpose of this review is to describe the molecular mechanisms in the striatum that mediate reward-based learning and action control during instrumental conditioning. Experiments assessing the neural bases of instrumental conditioning have uncovered functional circuits in the striatum, including dorsal and ventral striatal sub-regions, involved in action-outcome learning, stimulus-response learning, and the motivational control of action by reward-associated cues. Integration of dopamine (DA) and glutamate neurotransmission within these striatal sub-regions is hypothesized to enable learning and action control through its role in shaping synaptic plasticity and cellular excitability. The extracellular signal regulated kinase (ERK) appears to be particularly important for reward-based learning and action control due to its sensitivity to combined DA and glutamate receptor activation and its involvement in a range of cellular functions. ERK activation in striatal neurons is proposed to have a dual role in both the learning and performance factors that contribute to instrumental conditioning through its regulation of plasticity-related transcription factors and its modulation of intrinsic cellular excitability. Furthermore, perturbation of ERK activation by drugs of abuse may give rise to behavioral disorders such as addiction. Copyright © 2011 Elsevier Ltd. All rights reserved.

Computer vision and machine learning for robust phenotyping in genome-wide studies

PubMed Central

Zhang, Jiaoping; Naik, Hsiang Sing; Assefa, Teshale; Sarkar, Soumik; Reddy, R. V. Chowda; Singh, Arti; Ganapathysubramanian, Baskar; Singh, Asheesh K.

2017-01-01

Traditional evaluation of crop biotic and abiotic stresses are time-consuming and labor-intensive limiting the ability to dissect the genetic basis of quantitative traits. A machine learning (ML)-enabled image-phenotyping pipeline for the genetic studies of abiotic stress iron deficiency chlorosis (IDC) of soybean is reported. IDC classification and severity for an association panel of 461 diverse plant-introduction accessions was evaluated using an end-to-end phenotyping workflow. The workflow consisted of a multi-stage procedure including: (1) optimized protocols for consistent image capture across plant canopies, (2) canopy identification and registration from cluttered backgrounds, (3) extraction of domain expert informed features from the processed images to accurately represent IDC expression, and (4) supervised ML-based classifiers that linked the automatically extracted features with expert-rating equivalent IDC scores. ML-generated phenotypic data were subsequently utilized for the genome-wide association study and genomic prediction. The results illustrate the reliability and advantage of ML-enabled image-phenotyping pipeline by identifying previously reported locus and a novel locus harboring a gene homolog involved in iron acquisition. This study demonstrates a promising path for integrating the phenotyping pipeline into genomic prediction, and provides a systematic framework enabling robust and quicker phenotyping through ground-based systems. PMID:28272456

SUPPORTING PHYSICIANS' PRACTICE-BASED LEARNING AND IMPROVEMENT (PBLI) AND QUALITY IMPROVEMENT THROUGH EXPLORATION OF POPULATION-BASED MEDICAL DATA.

PubMed

Baumgart, Leigh A; Bass, Ellen J; Lyman, Jason A; Springs, Sherry; Voss, John; Hayden, Gregory F; Hellems, Martha A; Hoke, Tracey R; Schlag, Katharine A; Schorling, John B

2010-01-01

Participating in self-assessment activities may stimulate improvement in practice behaviors. However, it is unclear how best to support the development of self-assessment skills, particularly in the health care domain. Exploration of population-based data is one method to enable health care providers to identify deficiencies in overall practice behavior that can motivate quality improvement initiatives. At the University of Virginia, we are developing a decision support tool to integrate and present population-based patient data to health care providers related to both clinical outcomes and non-clinical measures (e.g., demographic information). By enabling users to separate their direct impact on clinical outcomes from other factors out of their control, we may enhance the self-assessment process.

SUPPORTING PHYSICIANS’ PRACTICE-BASED LEARNING AND IMPROVEMENT (PBLI) AND QUALITY IMPROVEMENT THROUGH EXPLORATION OF POPULATION-BASED MEDICAL DATA

PubMed Central

Baumgart, Leigh A.; Bass, Ellen J.; Lyman, Jason A.; Springs, Sherry; Voss, John; Hayden, Gregory F.; Hellems, Martha A.; Hoke, Tracey R.; Schlag, Katharine A.; Schorling, John B.

2011-01-01

Participating in self-assessment activities may stimulate improvement in practice behaviors. However, it is unclear how best to support the development of self-assessment skills, particularly in the health care domain. Exploration of population-based data is one method to enable health care providers to identify deficiencies in overall practice behavior that can motivate quality improvement initiatives. At the University of Virginia, we are developing a decision support tool to integrate and present population-based patient data to health care providers related to both clinical outcomes and non-clinical measures (e.g., demographic information). By enabling users to separate their direct impact on clinical outcomes from other factors out of their control, we may enhance the self-assessment process. PMID:21874123

Habituation based synaptic plasticity and organismic learning in a quantum perovskite

DOE PAGES

Zuo, Fan; Panda, Priyadarshini; Kotiuga, Michele; ...

2017-08-14

A central characteristic of living beings is the ability to learn from and respond to their environment leading to habit formation and decision making. This behavior, known as habituation, is universal among all forms of life with a central nervous system, and is also observed in single-cell organisms that do not possess a brain. Here, we report the discovery of habituation-based plasticity utilizing a perovskite quantum system by dynamical modulation of electron localization. Microscopic mechanisms and pathways that enable this organismic collective charge-lattice interaction are elucidated by first-principles theory, synchrotron investigations, ab initio molecular dynamics simulations, and in situ environmentalmore » breathing studies. In conclusion, we implement a learning algorithm inspired by the conductance relaxation behavior of perovskites that naturally incorporates habituation, and demonstrate learning to forget: a key feature of animal and human brains. Incorporating this elementary skill in learning boosts the capability of neural computing in a sequential, dynamic environment.« less

Case study: use of problem-based learning to develop students' technical and professional skills

NASA Astrophysics Data System (ADS)

Warnock, James N.; Mohammadi-Aragh, M. Jean

2016-03-01

Problem-based learning (PBL) is a pedagogy that has attracted attention for many biomedical engineering curricula. The aim of the current study was to address the research question, 'Does PBL enable students to develop desirable professional engineering skills?' The desirable skills identified were communication, teamwork, problem solving and self-directed learning. Forty-seven students enrolled in a biomedical materials course participated in the case study. Students worked in teams to complete a series of problems throughout the semester. The results showed that students made significant improvements in their problem-solving skills, written communication and self-directed learning. Students also demonstrated an ability to work in teams and communicate orally. In conclusion, this case study provides empirical evidence of the efficacy of PBL on student learning. We discuss findings from our study and provide observations of student performance and perceptions that could be useful for faculty and researchers interested in PBL for biomedical engineering education.

Habituation based synaptic plasticity and organismic learning in a quantum perovskite

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

Zuo, Fan; Panda, Priyadarshini; Kotiuga, Michele

A central characteristic of living beings is the ability to learn from and respond to their environment leading to habit formation and decision making. This behavior, known as habituation, is universal among all forms of life with a central nervous system, and is also observed in single-cell organisms that do not possess a brain. Here, we report the discovery of habituation-based plasticity utilizing a perovskite quantum system by dynamical modulation of electron localization. Microscopic mechanisms and pathways that enable this organismic collective charge-lattice interaction are elucidated by first-principles theory, synchrotron investigations, ab initio molecular dynamics simulations, and in situ environmentalmore » breathing studies. In conclusion, we implement a learning algorithm inspired by the conductance relaxation behavior of perovskites that naturally incorporates habituation, and demonstrate learning to forget: a key feature of animal and human brains. Incorporating this elementary skill in learning boosts the capability of neural computing in a sequential, dynamic environment.« less

Using a Guided Journal Club as a Teaching Strategy to Enhance Learning Skills for Evidence-Based Practice.

PubMed

Szucs, Kimberly A; Benson, Jeryl D; Haneman, Brianne

2017-04-01

Journal clubs are used in both clinical and academic settings in order for clinicians and students to utilize current best-practices, become competent in evidence based practice and develop critical appraisal skills. Journal clubs encourage students to practice searching for relevant research, critically appraising articles, and contributing to open discussions with peers. Establishing the practice of reading and critiquing literature in the classroom can enable the creation of a habit of using current evidence when students enter practice. This article describes a strategy for delivering a structured academic journal club to support the learning of evidence based practice skills and students' perception of the journal club, including their overall satisfaction, knowledge base skills, and presentation skills. Students had an overall positive experience and perception of the guided journal club activity. From the instructor's perspective, this assignment was an excellent opportunity to engage students in learning the process of evidence based practice.

Conversations about curriculum change: mathematical thinking and team-based learning in a discrete mathematics course

NASA Astrophysics Data System (ADS)

Paterson, Judy; Sneddon, Jamie

2011-10-01

This article reports on the learning conversations between a mathematician and a mathematics educator as they worked together to change the delivery model of a third year discrete mathematics course from a traditional lecture mode to team-based learning (TBL). This change prompted the mathematician to create team tasks which increasingly focused on what he calls the 'unspoken curriculum': mathematical thinking. We consider the ways in which the TBL model promoted and enabled this in the light of literature on mathematical thinking, sense-making and behaviours, and strongly suggest that this approach warrants more attention from the mathematics teaching community. We also discuss shifts in the mathematician's thinking about task construction as he refined the tasks to encourage students to think and behave like mathematicians.

Teacher Educators as Learners: Enabling Learning while Developing Innovative Practice in ICT-Rich Education

ERIC Educational Resources Information Center

Reading, Chris; Doyle, Helen

2013-01-01

It's time for teachers to consider themselves as learners in ICT-rich learning environments and to become more aware of factors that enable their learning in such environments. The notion of teachers as learners in ICT-rich environments is not new but the focus is usually on school teachers and formal professional development, rather than teachers…

Problem-based learning: an exploration of student opinions on its educational role in one UK pharmacy undergraduate curriculum.

PubMed

Wright, David; Wickham, Jane; Sach, Tracey

2014-06-01

Problem-based learning (PBL) was introduced into the first 3 years of the undergraduate degree course at the University of East Anglia (UEA) to both enhance the student learning experience and to enable it to meet external course accreditation criteria. Evidence to support both of these assertions is required. The objective was to determine student opinions on the value of PBL and the PBL learning process at one UK school of pharmacy. Utilising the professional accreditation criteria for UK schools of pharmacy a questionnaire was devised and piloted before being given to all UEA undergraduate pharmacy students for self-completion. The most appropriate method of dissemination was determined from a student-led focus group. A total of 201/329 (61.1%) students responded. The majority of students agreed that PBL improved their team working (83.1%), oral communication (89.1%) and problem-solving skills (61.7%). Additionally PBL improved students' ability to identify and address ethical dilemmas (74.5%) as well as enhancing their ability to manage their own learning (67.6%). Male students and those with a stated preference for team working were found to prefer PBL. Students generally believe that PBL develops a number of key skills and consequently inclusion of PBL alongside traditional teaching methods enables the school to meet a number of degree accreditation criteria. Male students, those who enjoyed team working and working with their current group were more positive about PBL. Further work is required to improve the experience for all students. © 2013 Royal Pharmaceutical Society.

Text feature extraction based on deep learning: a review.

PubMed

Liang, Hong; Sun, Xiao; Sun, Yunlei; Gao, Yuan

2017-01-01

Selection of text feature item is a basic and important matter for text mining and information retrieval. Traditional methods of feature extraction require handcrafted features. To hand-design, an effective feature is a lengthy process, but aiming at new applications, deep learning enables to acquire new effective feature representation from training data. As a new feature extraction method, deep learning has made achievements in text mining. The major difference between deep learning and conventional methods is that deep learning automatically learns features from big data, instead of adopting handcrafted features, which mainly depends on priori knowledge of designers and is highly impossible to take the advantage of big data. Deep learning can automatically learn feature representation from big data, including millions of parameters. This thesis outlines the common methods used in text feature extraction first, and then expands frequently used deep learning methods in text feature extraction and its applications, and forecasts the application of deep learning in feature extraction.

Enabling narrative pedagogy: inviting, waiting, and letting be.

PubMed

Ironside, Pamela M

2014-01-01

This article describes how teachers enable Narrative Pedagogy in their courses by explicating the Concernful Practice Inviting: Waiting and Letting Be. Narrative Pedagogy, a research-based, phenomenological approach to teaching and learning, extends conventional pedagogies and offers nursing faculty an alternative way of transforming their schools and courses. Using hermeneutic phenomenology, interview data collected over a 10-year period were analyzed by coding practical examples of teachers' efforts to enact Narrative Pedagogy. When Narrative Pedagogy is enacted, teachers and students focus on thinking and learning together about nursing phenomena and seek new understandings about how they may provide care in the myriad situations they encounter. Although the Concernful Practices co-occur, explicating inviting experiences can assist new teachers, and those seeking to extend their pedagogical literacy, by providing new understandings of how Narrative Pedagogy can be enacted.

Case Study: Innovative Assessment and Curriculum Redesign

ERIC Educational Resources Information Center

Nieweg, Michael R.

2004-01-01

The Institute for Physiotherapy, part of the Hogeschool van Amsterdam in the Netherlands, engaged in a fundamental change in their curriculum. This change encompassed three fundamental elements: (1) a fully competency-based programme; (2) a learning environment designed to enable the development of these professional competencies; and (3) an…

The Importance and Satisfaction of Collaborative Innovation for Strategic Entrepreneurship

ERIC Educational Resources Information Center

Tsai, I-Chang; Lei, Han-Sheng

2016-01-01

Building on network, learning, resource-based and real options theories, collaborative innovation through the sharing of ideas, knowledge, expertise, and opportunities can enable both small and large firms to successfully engage in strategic entrepreneurship. We use the real case of a research-oriented organization and its incubator for analysis…

Group Investigation: Structuring an Inquiry-Based Curriculum.

ERIC Educational Resources Information Center

Huhtala, Jack

Group investigation is an organizational approach that allows a class to work actively and collaboratively in small groups and enables students to take an active role in determining their own learning goals and processes. As part of reform and restructuring efforts, Beaverton High School (Oregon) implemented the Group Investigation model with…

Enabling and Challenging Factors in Institutional Reform: The Case of SCALE-UP

ERIC Educational Resources Information Center

Foote, Kathleen; Knaub, Alexis; Henderson, Charles; Dancy, Melissa; Beichner, Robert J.

2016-01-01

While many innovative teaching strategies exist, integration into undergraduate science teaching has been frustratingly slow. This study aims to understand the low uptake of research-based instructional innovations by studying 21 successful implementations of the Student Centered Active Learning with Upside-down Pedagogies (SCALE-UP) instructional…

A Second Look at Douglas Barnes's "From Communication to Curriculum"

ERIC Educational Resources Information Center

Yarker, Patrick

2016-01-01

This article revisits Douglas Barnes's book-length exploration of the implications for teachers of a constructivist epistemology, notably in relation to the importance of small-group talk in classrooms. Empirically based consideration of small-group exploratory pupil-pupil talk enabled Barnes to reveal the learning strategies such a context…

When Rural Reality Goes Virtual.

ERIC Educational Resources Information Center

Husain, Dilshad D.

1998-01-01

In rural towns where sparse population and few business are barriers, virtual reality may be the only way to bring work-based learning to students. A partnership between a small-town high school, the Ohio Supercomputer Center, and a high-tech business will enable students to explore the workplace using virtual reality. (JOW)

Lose the Recipe

ERIC Educational Resources Information Center

Owens, Theresa A.; Martin, Chanda

2011-01-01

When learning about plants, elementary students are typically given set directions on how to plant seeds and make their plants grow. To enable their class of first-grade students to build their own knowledge and encourage constructivism, the authors decided to take this set of prescribe activities and make them more inquiry-based. In traditional…

Everybody Dreams: Preparing a New Generation. NASA Explorer Schools Project

ERIC Educational Resources Information Center

National Aeronautics and Space Administration, 2005

2005-01-01

NASA Explorer Schools provides unique opportunities for students and teachers by offering access to technology and resources that are seemingly beyond reach. Combining new technologies with NASA content, lesson plans, and real-world experiments enables teachers to enhance inquiry-based learning and augment student engagement. This publication…

Time Shifting and Agile Time Boxes in Course Design

ERIC Educational Resources Information Center

Norberg, Anders; Stöckel, Birgit; Antti, Marta-Lena

2017-01-01

The ongoing integration of Information and Communication Technologies (ICTs) into higher education courses is often called "blended learning" although it often relates to course design. It is usually understood in place categories, as a combination of traditional classroom-based sessions and Internet-enabled distance or online learning…

Assessing the Accessibility of Online Learning

ERIC Educational Resources Information Center

Badge, Joanne L.; Dawson, Emma; Cann, Alan J.; Scott, Jon

2008-01-01

A wide range of tools is now available to enable teaching practitioners to create web-based educational materials from PowerPoint presentations, adding a variety of different digital media, such as audio and animation. The pilot study described in this paper compared three different systems for producing multimedia presentations from existing…

Engaging a Developmentally Disabled Community through Arts-Based Service-Learning

ERIC Educational Resources Information Center

Alexander, Amanda

2015-01-01

This study examined whether teaching in a community arts organization that provides services for people with developmental disabilities enabled preservice art teachers to better understand diverse contexts of art programs and the benefits of teaching the arts to others. Through this activity, the author also examined whether preservice art…

Creating and Executing an Applied Interdisciplinary Campaign for Domestic Violence Prevention

ERIC Educational Resources Information Center

Keller, Sarah N.; Otjen, A. J.

2007-01-01

This article describes an interdisciplinary, experiential learning project that combined marketing and communications courses at a state university. Two professors from different colleges partnered with a domestic violence center to enable students to create a community-based social marketing campaign. Student assessments indicated success in…

A Machine-Learning-Driven Sky Model.

PubMed

Satylmys, Pynar; Bashford-Rogers, Thomas; Chalmers, Alan; Debattista, Kurt

2017-01-01

Sky illumination is responsible for much of the lighting in a virtual environment. A machine-learning-based approach can compactly represent sky illumination from both existing analytic sky models and from captured environment maps. The proposed approach can approximate the captured lighting at a significantly reduced memory cost and enable smooth transitions of sky lighting to be created from a small set of environment maps captured at discrete times of day. The author's results demonstrate accuracy close to the ground truth for both analytical and capture-based methods. The approach has a low runtime overhead, so it can be used as a generic approach for both offline and real-time applications.

Process evaluation of the Enabling Mothers toPrevent Pediatric Obesity Through Web-Based Learning and Reciprocal Determinism (EMPOWER) randomized control trial.

PubMed

Knowlden, Adam P; Sharma, Manoj

2014-09-01

Family-and-home-based interventions are an important vehicle for preventing childhood obesity. Systematic process evaluations have not been routinely conducted in assessment of these interventions. The purpose of this study was to plan and conduct a process evaluation of the Enabling Mothers to Prevent Pediatric Obesity Through Web-Based Learning and Reciprocal Determinism (EMPOWER) randomized control trial. The trial was composed of two web-based, mother-centered interventions for prevention of obesity in children between 4 and 6 years of age. Process evaluation used the components of program fidelity, dose delivered, dose received, context, reach, and recruitment. Categorical process evaluation data (program fidelity, dose delivered, dose exposure, and context) were assessed using Program Implementation Index (PII) values. Continuous process evaluation variables (dose satisfaction and recruitment) were assessed using ANOVA tests to evaluate mean differences between groups (experimental and control) and sessions (sessions 1 through 5). Process evaluation results found that both groups (experimental and control) were equivalent, and interventions were administered as planned. Analysis of web-based intervention process objectives requires tailoring of process evaluation models for online delivery. Dissemination of process evaluation results can advance best practices for implementing effective online health promotion programs. © 2014 Society for Public Health Education.

Using reusable learning objects (RLOs) in wound care education: Undergraduate student nurse's evaluation of their learning gain.

PubMed

Redmond, Catherine; Davies, Carmel; Cornally, Deirdre; Adam, Ewa; Daly, Orla; Fegan, Marianne; O'Toole, Margaret

2018-01-01

Both nationally and internationally concerns have been expressed over the adequacy of preparation of undergraduate nurses for the clinical skill of wound care. This project describes the educational evaluation of a series of Reusable Learning Objects (RLOs) as a blended learning approach to facilitate undergraduate nursing students learning of wound care for competence development. Constructivism Learning Theory and Cognitive Theory of Multimedia Learning informed the design of the RLOs, promoting active learner approaches. Clinically based case studies and visual data from two large university teaching hospitals provided the authentic learning materials required. Interactive exercises and formative feedback were incorporated into the educational resource. Evaluation of student perceived learning gains in terms of knowledge, ability and attitudes were measured using a quantitative pre and posttest Wound Care Competency Outcomes Questionnaire. The RLO CETL Questionnaire was used to identify perceived learning enablers. Statistical and deductive thematic analyses inform the findings. Students (n=192) reported that their ability to meet the competency outcomes for wound care had increased significantly after engaging with the RLOs. Students rated the RLOs highly across all categories of perceived usefulness, impact, access and integration. These findings provide evidence that the use of RLOs for both knowledge-based and performance-based learning is effective. RLOs when designed using clinically real case scenarios reflect the true complexities of wound care and offer innovative interventions in nursing curricula. Copyright © 2017 Elsevier Ltd. All rights reserved.

Supervised learning of tools for content-based search of image databases

NASA Astrophysics Data System (ADS)

Delanoy, Richard L.

1996-03-01

A computer environment, called the Toolkit for Image Mining (TIM), is being developed with the goal of enabling users with diverse interests and varied computer skills to create search tools for content-based image retrieval and other pattern matching tasks. Search tools are generated using a simple paradigm of supervised learning that is based on the user pointing at mistakes of classification made by the current search tool. As mistakes are identified, a learning algorithm uses the identified mistakes to build up a model of the user's intentions, construct a new search tool, apply the search tool to a test image, display the match results as feedback to the user, and accept new inputs from the user. Search tools are constructed in the form of functional templates, which are generalized matched filters capable of knowledge- based image processing. The ability of this system to learn the user's intentions from experience contrasts with other existing approaches to content-based image retrieval that base searches on the characteristics of a single input example or on a predefined and semantically- constrained textual query. Currently, TIM is capable of learning spectral and textural patterns, but should be adaptable to the learning of shapes, as well. Possible applications of TIM include not only content-based image retrieval, but also quantitative image analysis, the generation of metadata for annotating images, data prioritization or data reduction in bandwidth-limited situations, and the construction of components for larger, more complex computer vision algorithms.

Simplify and Accelerate Earth Science Data Preparation to Systemize Machine Learning

NASA Astrophysics Data System (ADS)

Kuo, K. S.; Rilee, M. L.; Oloso, A.

2017-12-01

Data preparation is the most laborious and time-consuming part of machine learning. The effort required is usually more than linearly proportional to the varieties of data used. From a system science viewpoint, useful machine learning in Earth Science likely involves diverse datasets. Thus, simplifying data preparation to ease the systemization of machine learning in Earth Science is of immense value. The technologies we have developed and applied to an array database, SciDB, are explicitly designed for the purpose, including the innovative SpatioTemporal Adaptive-Resolution Encoding (STARE), a remapping tool suite, and an efficient implementation of connected component labeling (CCL). STARE serves as a universal Earth data representation that homogenizes data varieties and facilitates spatiotemporal data placement as well as alignment, to maximize query performance on massively parallel, distributed computing resources for a major class of analysis. Moreover, it converts spatiotemporal set operations into fast and efficient integer interval operations, supporting in turn moving-object analysis. Integrative analysis requires more than overlapping spatiotemporal sets. For example, meaningful comparison of temperature fields obtained with different means and resolutions requires their transformation to the same grid. Therefore, remapping has been implemented to enable integrative analysis. Finally, Earth Science investigations are generally studies of phenomena, e.g. tropical cyclone, atmospheric river, and blizzard, through their associated events, like hurricanes Katrina and Sandy. Unfortunately, except for a few high-impact phenomena, comprehensive episodic records are lacking. Consequently, we have implemented an efficient CCL tracking algorithm, enabling event-based investigations within climate data records beyond mere event presence. In summary, we have implemented the core unifying capabilities on a Big Data technology to enable systematic machine learning in Earth Science.

A Role-Based Approach to Enhancing Self-Esteem: Implications for Teachers, Counselors and Health Professionals.

ERIC Educational Resources Information Center

Juhasz, Anne McCreary

For more than a quarter of a century self-esteem increasingly has been viewed as the magic key to success and happiness. Earned self-esteem is based on learning to tolerate frustration and delay, to care for others, to work hard, and to persevere in the face of obstacles. These tasks of developing relationships and competencies enable one to…

Enabling User to User Interactions in Web Lectures with History-Aware User Awareness

ERIC Educational Resources Information Center

Ketterl, Markus; Mertens, Robert; Wiesen, Christoph; Vornberger, Oliver

2011-01-01

Purpose: The purpose of this paper is to present a user interface for web lectures for engaging with other users while working with video based learning content. The application allows its users to ask questions about the content and to get answers from those users that currently online are more familiar with it. The filtering is based on the…

Design of a Multi-Touch Tabletop for Simulation-Based Training

DTIC Science & Technology

2014-06-01

receive, for example using point and click mouse-based computer interactions to specify the routes that vehicles take as part of a convoy...learning, coordination and support for planning. We first provide background in tabletop interaction in general and survey earlier efforts to use...tremendous progress over the past five years. Touch detection technologies now enable multiple users to interact simultaneously on large areas with

Sparsity enabled cluster reduced-order models for control

NASA Astrophysics Data System (ADS)

Kaiser, Eurika; Morzyński, Marek; Daviller, Guillaume; Kutz, J. Nathan; Brunton, Bingni W.; Brunton, Steven L.

2018-01-01

Characterizing and controlling nonlinear, multi-scale phenomena are central goals in science and engineering. Cluster-based reduced-order modeling (CROM) was introduced to exploit the underlying low-dimensional dynamics of complex systems. CROM builds a data-driven discretization of the Perron-Frobenius operator, resulting in a probabilistic model for ensembles of trajectories. A key advantage of CROM is that it embeds nonlinear dynamics in a linear framework, which enables the application of standard linear techniques to the nonlinear system. CROM is typically computed on high-dimensional data; however, access to and computations on this full-state data limit the online implementation of CROM for prediction and control. Here, we address this key challenge by identifying a small subset of critical measurements to learn an efficient CROM, referred to as sparsity-enabled CROM. In particular, we leverage compressive measurements to faithfully embed the cluster geometry and preserve the probabilistic dynamics. Further, we show how to identify fewer optimized sensor locations tailored to a specific problem that outperform random measurements. Both of these sparsity-enabled sensing strategies significantly reduce the burden of data acquisition and processing for low-latency in-time estimation and control. We illustrate this unsupervised learning approach on three different high-dimensional nonlinear dynamical systems from fluids with increasing complexity, with one application in flow control. Sparsity-enabled CROM is a critical facilitator for real-time implementation on high-dimensional systems where full-state information may be inaccessible.

NASA’s Universe of Learning: Girls STEAM Ahead

NASA Astrophysics Data System (ADS)

Marcucci, Emma; Meinke, Bonnie K.; Smith, Denise A.; Ryer, Holly; Slivinski, Carolyn; Kenney, Jessica; Arcand, Kimberly K.; Cominsky, Lynn R.; Girls STEAM Ahead with NASA Team

2017-10-01

NASA Science Mission Directorate’s Universe of Learning (UoL) program enables scientists and engineers to more effectively engage with learners of all ages. The Girls STEAM Ahead with NASA education program within UoL, expands upon the former program, NASA Science4Girls and Their Families, in celebration of National Women’s History Month. The initiative partners the NASA’s Universe of Learning science education program resources with public libraries to provide NASA-themed activities for girls and their families, including hands-on activities for engaging girls, complementary exhibits, and professional development for library partner staff. The science-institute-embedded partners in NASA’s UoL are uniquely poised to foster collaboration between scientists with content expertise and educators with pedagogy expertise. The thematic topics related to NASA Astrophysics enable audiences to experience the full range of NASA scientific and technical disciplines and the different career skills each requires. The events focus on engaging underserved and underrepresented audiences in Science, Technology, Engineering, and Mathematics (STEM) via use of research-based best practices, collaborations with libraries, partnerships with local and national organizations (e.g. National Girls Collaborative Project or NGCP), and remote engagement of audiences. This presentation will provide an overview of the program progress related to engaging girls and their families in NASA-based science programming.

Ask-the-expert: Active Learning Based Knowledge Discovery Using the Expert

NASA Technical Reports Server (NTRS)

Das, Kamalika; Avrekh, Ilya; Matthews, Bryan; Sharma, Manali; Oza, Nikunj

2017-01-01

Often the manual review of large data sets, either for purposes of labeling unlabeled instances or for classifying meaningful results from uninteresting (but statistically significant) ones is extremely resource intensive, especially in terms of subject matter expert (SME) time. Use of active learning has been shown to diminish this review time significantly. However, since active learning is an iterative process of learning a classifier based on a small number of SME-provided labels at each iteration, the lack of an enabling tool can hinder the process of adoption of these technologies in real-life, in spite of their labor-saving potential. In this demo we present ASK-the-Expert, an interactive tool that allows SMEs to review instances from a data set and provide labels within a single framework. ASK-the-Expert is powered by an active learning algorithm for training a classifier in the backend. We demonstrate this system in the context of an aviation safety application, but the tool can be adopted to work as a simple review and labeling tool as well, without the use of active learning.

Ask-the-Expert: Active Learning Based Knowledge Discovery Using the Expert

NASA Technical Reports Server (NTRS)

Das, Kamalika

2017-01-01

Often the manual review of large data sets, either for purposes of labeling unlabeled instances or for classifying meaningful results from uninteresting (but statistically significant) ones is extremely resource intensive, especially in terms of subject matter expert (SME) time. Use of active learning has been shown to diminish this review time significantly. However, since active learning is an iterative process of learning a classifier based on a small number of SME-provided labels at each iteration, the lack of an enabling tool can hinder the process of adoption of these technologies in real-life, in spite of their labor-saving potential. In this demo we present ASK-the-Expert, an interactive tool that allows SMEs to review instances from a data set and provide labels within a single framework. ASK-the-Expert is powered by an active learning algorithm for training a classifier in the back end. We demonstrate this system in the context of an aviation safety application, but the tool can be adopted to work as a simple review and labeling tool as well, without the use of active learning.

Biologically Inspired SNN for Robot Control.

PubMed

Nichols, Eric; McDaid, Liam J; Siddique, Nazmul

2013-02-01

This paper proposes a spiking-neural-network-based robot controller inspired by the control structures of biological systems. Information is routed through the network using facilitating dynamic synapses with short-term plasticity. Learning occurs through long-term synaptic plasticity which is implemented using the temporal difference learning rule to enable the robot to learn to associate the correct movement with the appropriate input conditions. The network self-organizes to provide memories of environments that the robot encounters. A Pioneer robot simulator with laser and sonar proximity sensors is used to verify the performance of the network with a wall-following task, and the results are presented.

Learning polynomial feedforward neural networks by genetic programming and backpropagation.

PubMed

Nikolaev, N Y; Iba, H

2003-01-01

This paper presents an approach to learning polynomial feedforward neural networks (PFNNs). The approach suggests, first, finding the polynomial network structure by means of a population-based search technique relying on the genetic programming paradigm, and second, further adjustment of the best discovered network weights by an especially derived backpropagation algorithm for higher order networks with polynomial activation functions. These two stages of the PFNN learning process enable us to identify networks with good training as well as generalization performance. Empirical results show that this approach finds PFNN which outperform considerably some previous constructive polynomial network algorithms on processing benchmark time series.

GeneLab for High Schools: Data Mining for the Next Generation

NASA Technical Reports Server (NTRS)

Blaber, Elizabeth A.; Ly, Diana; Sato, Kevin Y.; Taylor, Elizabeth

2016-01-01

Modern biological sciences have become increasingly based on molecular biology and high-throughput molecular techniques, such as genomics, transcriptomics, and proteomics. NASA Scientists and the NASA Space Biology Program have aimed to examine the fundamental building blocks of life (RNA, DNA and protein) in order to understand the response of living organisms to space and aid in fundamental research discoveries on Earth. In an effort to enable NASA funded science to be available to everyone, NASA has collected the data from omics studies and curated them in a data system called GeneLab. Whilst most college-level interns, academics and other scientists have had some interaction with omics data sets and analysis tools, high school students often have not. Therefore, the Space Biology Program is implementing a new Summer Program for high-school students that aims to inspire the next generation of scientists to learn about and get involved in space research using GeneLabs Data System. The program consists of three main components core learning modules, focused on developing students knowledge on the Space Biology Program and Space Biology research, Genelab and the data system, and previous research conducted on model organisms in space; networking and team work, enabling students to interact with guest lecturers from local universities and their fellow peers, and also enabling them to visit local universities and genomics centers around the Bay area; and finally an independent learning project, whereby students will be required to form small groups, analyze a dataset on the Genelab platform, generate a hypothesis and develop a research plan to test their hypothesis. This program will not only help inspire high-school students to become involved in space-based research but will also help them develop key critical thinking and bioinformatics skills required for most college degrees and furthermore, will enable them to establish networks with their peers and connections with university Professors that may help them achieve their educational goals.

Enhancing Icing Training for Pilots Through Web-Based Multimedia

NASA Technical Reports Server (NTRS)

Fletcher, William; Nolan, Gary; Adanich, Emery; Bond, Thomas H.

2006-01-01

The Aircraft Icing Project of the NASA Aviation Safety Program has developed a number of in-flight icing education and training aids designed to increase pilot awareness about the hazards associated with various icing conditions. The challenges and advantages of transitioning these icing training materials to a Web-based delivery are discussed. Innovative Web-based delivery devices increased course availability to pilots and dispatchers while increasing course flexibility and utility. These courses are customizable for both self-directed and instructor-led learning. Part of our goal was to create training materials with enough flexibility to enable Web-based delivery and downloadable portability while maintaining a rich visual multimedia-based learning experience. Studies suggest that using visually based multimedia techniques increases the effectiveness of icing training materials. This paper describes these concepts, gives examples, and discusses the transitional challenges.

A Study of Factors Affecting the Adoption of E-Learning Systems Enabled with Cultural Contextual Features by Instructions in Jamaican Tertiary Institutions

ERIC Educational Resources Information Center

Rhoden, Niccardo S.

2014-01-01

Understanding factors affecting the acceptance of E-Learning Systems Enabled with Cultural Contextual Features by lnstructors in Jamaican Tertiary Institutions is an important topic that's relevant to not only educational institutions, but developers of software for on line learning. The use of the unified theory of acceptance and use of…

Asymptotically Optimal Motion Planning for Learned Tasks Using Time-Dependent Cost Maps

PubMed Central

Bowen, Chris; Ye, Gu; Alterovitz, Ron

2015-01-01

In unstructured environments in people’s homes and workspaces, robots executing a task may need to avoid obstacles while satisfying task motion constraints, e.g., keeping a plate of food level to avoid spills or properly orienting a finger to push a button. We introduce a sampling-based method for computing motion plans that are collision-free and minimize a cost metric that encodes task motion constraints. Our time-dependent cost metric, learned from a set of demonstrations, encodes features of a task’s motion that are consistent across the demonstrations and, hence, are likely required to successfully execute the task. Our sampling-based motion planner uses the learned cost metric to compute plans that simultaneously avoid obstacles and satisfy task constraints. The motion planner is asymptotically optimal and minimizes the Mahalanobis distance between the planned trajectory and the distribution of demonstrations in a feature space parameterized by the locations of task-relevant objects. The motion planner also leverages the distribution of the demonstrations to significantly reduce plan computation time. We demonstrate the method’s effectiveness and speed using a small humanoid robot performing tasks requiring both obstacle avoidance and satisfaction of learned task constraints. Note to Practitioners Motivated by the desire to enable robots to autonomously operate in cluttered home and workplace environments, this paper presents an approach for intuitively training a robot in a manner that enables it to repeat the task in novel scenarios and in the presence of unforeseen obstacles in the environment. Based on user-provided demonstrations of the task, our method learns features of the task that are consistent across the demonstrations and that we expect should be repeated by the robot when performing the task. We next present an efficient algorithm for planning robot motions to perform the task based on the learned features while avoiding obstacles. We demonstrate the effectiveness of our motion planner for scenarios requiring transferring a powder and pushing a button in environments with obstacles, and we plan to extend our results to more complex tasks in the future. PMID:26279642

Selected Screen for Engaging Students in Projectile Motion

NASA Astrophysics Data System (ADS)

Dramae, A.; Toedtanya, K.; Wuttiprom, S.

2017-09-01

Connecting physics concepts to activities that are interesting to students or what they encounter in everyday life will help students build a strong foundation. When there is an interesting activity for the student, it will result in the student responding, engaging, and enthusiasm in learning. Learning activities that are based on what students are interested in and regularly experience will enable students to understand the long and memorable experience. Both of these will enhance the student’s learning experience. One of the activities that can be described in this research used the learning activity through movies, which is the application of the basic motion projectile for students to understand the characteristics of such movement. It also aims to further develop critical thinking skills of learners.

Facilitation of learning: part 2.

PubMed

Warburton, Tyler; Houghton, Trish; Barry, Debbie

2016-04-27

The previous article in this series of 11, Facilitation of learning: part 1, reviewed learning theories and how they relate to clinical practice. Developing an understanding of these theories is essential for mentors and practice teachers to enable them to deliver evidence-based learning support. This is important given that effective learning support is dependent on an educator who possesses knowledge of their specialist area as well as the relevent tools and methods to support learning. The second domain of the Nursing and Midwifery Council's Standards to Support Learning and Assessment in Practice relates to the facilitation of learning. To fulfil this domain, mentors and practice teachers are required to demonstrate their ability to recognise the needs of learners and provide appropriate support to meet those needs. This article expands on some of the discussions from part 1 of this article and considers these from a practical perspective, in addition to introducing some of the tools that can be used to support learning.

Combining lived experience with the facilitation of enquiry-based learning: a 'trigger' for transformative learning.

PubMed

Stacey, G; Oxley, R; Aubeeluck, A

2015-09-01

What is known on the subject The values underpinning recovery-orientated practice are recited in the literature and influential in the content of mental health nurse education internationally. However, scepticism exists regarding the degree to which students' assimilate the principles of recovery into their practice due to the troublesome and challenging nature of learning at a transformational level, also known as threshold concept learning. Evaluation suggests that this combination of educational approaches positively influences students' prior understandings, beliefs and values in relation to the prospect for people with significant mental health problems to recover. The components of threshold concepts are useful as a deductive framework for the evaluation of educational initiatives which attempt to initiate transformative learning. While this forum clearly holds significant potential for student development, support and preparation is needed for both the student and the facilitator in order to enable the possibility of learning which influences attitudes, beliefs and practice. The aim of this paper is to discuss the potential for combining lived experience of mental distress with the facilitation of enquiry-based learning (EBL) to act as a trigger for transformative learning in the context of promoting the understanding of mental health 'recovery' in nurse education.The values underpinning recovery-orientated practice are recited in the literature and influential in mental health nurse education internationally. However, scepticism exists regarding the degree to which students assimilate into their practice. An open-ended was distributed to a cohort of pre-registration nursing students receiving the co-facilitated EBL (n = 112). Data demonstrated how the specific attributes of this educational approach were identified by students as impacting positively on ill-informed preconceptions, understanding of complex theory and their future practice. Results were considered in light of the identification of 'recovery' as a 'threshold concept' and offered evidence to support the value of this specific educational forum in the promotion of learning which is transformative, integrative, bounded and at times troublesome. Support and significant preparation is needed for both the student and the facilitator in order to enable the possibility of transformatory learning. © 2015 John Wiley & Sons Ltd.

Discussion of the enabling environments for decentralised water systems.

PubMed

Moglia, M; Alexander, K S; Sharma, A

2011-01-01

Decentralised water supply systems are becoming increasingly affordable and commonplace in Australia and have the potential to alleviate urban water shortages and reduce pollution into natural receiving marine and freshwater streams. Learning processes are necessary to support the efficient implementation of decentralised systems. These processes reveal the complex socio-technical and institutional factors to be considered when developing an enabling environment supporting decentralised water and wastewater servicing solutions. Critical to the technological transition towards established decentralised systems is the ability to create strategic and adaptive capacity to promote learning and dialogue. Learning processes require institutional mechanisms to ensure the lessons are incorporated into the formulation of policy and regulation, through constructive involvement of key government institutions. Engagement of stakeholders is essential to the enabling environment. Collaborative learning environments using systems analysis with communities (social learning) and adaptive management techniques are useful in refining and applying scientists' and managers' knowledge (knowledge management).

Dual learning processes underlying human decision-making in reversal learning tasks: functional significance and evidence from the model fit to human behavior

PubMed Central

Bai, Yu; Katahira, Kentaro; Ohira, Hideki

2014-01-01

Humans are capable of correcting their actions based on actions performed in the past, and this ability enables them to adapt to a changing environment. The computational field of reinforcement learning (RL) has provided a powerful explanation for understanding such processes. Recently, the dual learning system, modeled as a hybrid model that incorporates value update based on reward-prediction error and learning rate modulation based on the surprise signal, has gained attention as a model for explaining various neural signals. However, the functional significance of the hybrid model has not been established. In the present study, we used computer simulation in a reversal learning task to address functional significance in a probabilistic reversal learning task. The hybrid model was found to perform better than the standard RL model in a large parameter setting. These results suggest that the hybrid model is more robust against the mistuning of parameters compared with the standard RL model when decision-makers continue to learn stimulus-reward contingencies, which can create abrupt changes. The parameter fitting results also indicated that the hybrid model fit better than the standard RL model for more than 50% of the participants, which suggests that the hybrid model has more explanatory power for the behavioral data than the standard RL model. PMID:25161635

Broad-based visual benefits from training with an integrated perceptual-learning video game.

PubMed

Deveau, Jenni; Lovcik, Gary; Seitz, Aaron R

2014-06-01

Perception is the window through which we understand all information about our environment, and therefore deficits in perception due to disease, injury, stroke or aging can have significant negative impacts on individuals' lives. Research in the field of perceptual learning has demonstrated that vision can be improved in both normally seeing and visually impaired individuals, however, a limitation of most perceptual learning approaches is their emphasis on isolating particular mechanisms. In the current study, we adopted an integrative approach where the goal is not to achieve highly specific learning but instead to achieve general improvements to vision. We combined multiple perceptual learning approaches that have individually contributed to increasing the speed, magnitude and generality of learning into a perceptual-learning based video-game. Our results demonstrate broad-based benefits of vision in a healthy adult population. Transfer from the game includes; improvements in acuity (measured with self-paced standard eye-charts), improvement along the full contrast sensitivity function, and improvements in peripheral acuity and contrast thresholds. The use of this type of this custom video game framework built up from psychophysical approaches takes advantage of the benefits found from video game training while maintaining a tight link to psychophysical designs that enable understanding of mechanisms of perceptual learning and has great potential both as a scientific tool and as therapy to help improve vision. Copyright © 2014 Elsevier B.V. All rights reserved.

The Implementation of Medical Informatics in the National Competence Based Catalogue of Learning Objectives for Undergraduate Medical Education (NKLM).

PubMed

Behrends, Marianne; Steffens, Sandra; Marschollek, Michael

2017-01-01

The National Competence Based Catalogue of Learning Objectives for Undergraduate Medical Education (NKLM) describes medical skills and attitudes without being ordered by subjects or organs. Thus, the NKLM enables systematic curriculum mapping and supports curricular transparency. In this paper we describe where learning objectives related to Medical Informatics (MI) in Hannover coincide with other subjects and where they are taught exclusively in MI. An instance of the web-based MERLIN-database was used for the mapping process. In total 52 learning objectives overlapping with 38 other subjects could be allocated to MI. No overlap exists for six learning objectives describing explicitly topics of information technology or data management for scientific research. Most of the overlap was found for learning objectives relating to documentation and aspects of data privacy. The identification of numerous shared learning objectives with other subjects does not mean that other subjects teach the same content as MI. Identifying common learning objectives rather opens up the possibility for teaching cooperations which could lead to an important exchange and hopefully an improvement in medical education. Mapping of a whole medical curriculum offers the opportunity to identify common ground between MI and other medical subjects. Furthermore, in regard to MI, the interaction with other medical subjects can strengthen its role in medical education.

A Study on Markerless AR-Based Infant Education System Using CBIR

NASA Astrophysics Data System (ADS)

Lim, Ji-Hoon; Kim, Seoksoo

Block play is widely known to be effective to help a child develop emotionally and physically based on learning by a sense of sight and touch. But block play can not expect to have learning effects through a sense of hearing. Therefore, in this study, such limitations are overcome by a method that recognizes an object made up of blocks, not a marker-based method generally used for an AR environment, a matching technology enabling an object to be perceived in every direction, and a technology combining images of the real world with 2D/3D images/pictures/sounds of a similar object. Also, an education system for children aged 3~5 is designed to implement markerless AR with the CBIR method.

Automated classification of cell morphology by coherence-controlled holographic microscopy

NASA Astrophysics Data System (ADS)

Strbkova, Lenka; Zicha, Daniel; Vesely, Pavel; Chmelik, Radim

2017-08-01

In the last few years, classification of cells by machine learning has become frequently used in biology. However, most of the approaches are based on morphometric (MO) features, which are not quantitative in terms of cell mass. This may result in poor classification accuracy. Here, we study the potential contribution of coherence-controlled holographic microscopy enabling quantitative phase imaging for the classification of cell morphologies. We compare our approach with the commonly used method based on MO features. We tested both classification approaches in an experiment with nutritionally deprived cancer tissue cells, while employing several supervised machine learning algorithms. Most of the classifiers provided higher performance when quantitative phase features were employed. Based on the results, it can be concluded that the quantitative phase features played an important role in improving the performance of the classification. The methodology could be valuable help in refining the monitoring of live cells in an automated fashion. We believe that coherence-controlled holographic microscopy, as a tool for quantitative phase imaging, offers all preconditions for the accurate automated analysis of live cell behavior while enabling noninvasive label-free imaging with sufficient contrast and high-spatiotemporal phase sensitivity.

The Identification and Tracking of Uterine Contractions Using Template Based Cross-Correlation.

PubMed

McDonald, Sarah C; Brooker, Graham; Phipps, Hala; Hyett, Jon

2017-09-01

The purpose of this paper is to outline a novel method of using template based cross-correlation to identify and track uterine contractions during labour. A purpose built six-channel Electromyography (EMG) device was used to collect data from consenting women during labour and birth. A range of templates were constructed for the purpose of identifying and tracking uterine activity when cross-correlated with the EMG signal. Peak finding techniques were applied on the cross-correlated result to simplify and automate the identification and tracking of contractions. The EMG data showed a unique pattern when a woman was contracting with key features of the contraction signal remaining consistent and identifiable across subjects. Contraction profiles across subjects were automatically identified using template based cross-correlation. Synthetic templates from a rectangular function with a duration of between 5 and 10 s performed best at identifying and tracking uterine activity across subjects. The successful application of this technique provides opportunity for both simple and accurate real-time analysis of contraction data while enabling investigations into the application of techniques such as machine learning which could enable automated learning from contraction data as part of real-time monitoring and post analysis.

Automated classification of cell morphology by coherence-controlled holographic microscopy.

PubMed

Strbkova, Lenka; Zicha, Daniel; Vesely, Pavel; Chmelik, Radim

2017-08-01

In the last few years, classification of cells by machine learning has become frequently used in biology. However, most of the approaches are based on morphometric (MO) features, which are not quantitative in terms of cell mass. This may result in poor classification accuracy. Here, we study the potential contribution of coherence-controlled holographic microscopy enabling quantitative phase imaging for the classification of cell morphologies. We compare our approach with the commonly used method based on MO features. We tested both classification approaches in an experiment with nutritionally deprived cancer tissue cells, while employing several supervised machine learning algorithms. Most of the classifiers provided higher performance when quantitative phase features were employed. Based on the results, it can be concluded that the quantitative phase features played an important role in improving the performance of the classification. The methodology could be valuable help in refining the monitoring of live cells in an automated fashion. We believe that coherence-controlled holographic microscopy, as a tool for quantitative phase imaging, offers all preconditions for the accurate automated analysis of live cell behavior while enabling noninvasive label-free imaging with sufficient contrast and high-spatiotemporal phase sensitivity. (2017) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE).

eLearning in education and advanced training in neuroradiology: introduction of a web-based teaching and learning application.

PubMed

Zajaczek, J E W; Götz, F; Kupka, T; Behrends, M; Haubitz, B; Donnerstag, F; Rodt, T; Walter, G F; Matthies, H K; Becker, H

2006-09-01

New information technologies offer the possibility of major improvements in the professional education and advanced training of physicians. The web-based, multimedia teaching and learning application Schoolbook has been created and utilized for neuroradiology. Schoolbook is technically based as a content management system and is realized in a LAMP environment. The content is generated with the help of the developed system and stored in a database. The layout is defined by a PHP application, and the webpages are generated from the system. Schoolbook is realized as an authoring tool so that it can be integrated into daily practice. This enables the teacher to autonomously process the content into the web-based application which is used for lectures, seminars and self-study. A multimedia case library is the central building block of Schoolbook for neuroradiology, whereby the learner is provided with original diagnostic and therapeutic data from numerous individual cases. The user can put individual emphasis on key learning points as there are various ways to work with the case histories. Besides the case-based way of teaching and learning, a systematically structured way of dealing with the content is available. eLearning offers various opportunities for teaching and learning in academic and scientific as well as in economic contexts. Web-based applications such as Schoolbook may be beneficial not only for basic university education but also for the realization of international educational programmes such as the European Master of Medical Science with a major in neuroradiology.

Optimizing learning in healthcare: how Island Health is evolving to learn at the speed of change.

PubMed

Gottfredson, Conrad; Stroud, Carol; Jackson, Mary; Stevenson, R Lynn; Archer, Jana

2014-01-01

Healthcare organizations are challenged with constrained resources and increasing service demands by an aging population with complex care needs. Exponential growth in competency requirements also challenges staff's ability to provide quality patient care. How can a healthcare organization support its staff to learn "at or above the speed of change" while continuing to provide the quality patient care? Island Health is addressing this challenge by transforming its traditional education model into an innovative, evidence-based learning and performance support approach. Implementation of the methodology is yielding several lessons learned, both for the internal Learning and Performance Support team, and for what it takes to bring a new way of doing business into an organization. A key result is that this approach is enabling the organization to be more responsive in helping staff gain and maintain competencies.

Student perceptions of independent versus facilitated small group learning approaches to compressed medical anatomy education.

PubMed

Whelan, Alexander; Leddy, John J; Mindra, Sean; Matthew Hughes, J D; El-Bialy, Safaa; Ramnanan, Christopher J

2016-01-01

The purpose of this study was to compare student perceptions regarding two, small group learning approaches to compressed (46.5 prosection-based laboratory hours), integrated anatomy education at the University of Ottawa medical program. In the facilitated active learning (FAL) approach, tutors engage students and are expected to enable and balance both active learning and progression through laboratory objectives. In contrast, the emphasized independent learning (EIL) approach stresses elements from the "flipped classroom" educational model: prelaboratory preparation, independent laboratory learning, and limited tutor involvement. Quantitative (Likert-style questions) and qualitative data (independent thematic analysis of open-ended commentary) from a survey of students who had completed the preclerkship curriculum identified strengths from the EIL (promoting student collaboration and communication) and FAL (successful progression through objectives) approaches. However, EIL led to student frustration related to a lack of direction and impaired completion of objectives, whereas active learning opportunities in FAL were highly variable and dependent on tutor teaching style. A "hidden curriculum" was also identified, where students (particularly EIL and clerkship students) commonly compared their compressed anatomy education or their anatomy learning environment with other approaches. Finally, while both groups highly regarded the efficiency of prosection-based learning and expressed value for cadaveric-based learning, student commentary noted that the lack of grade value dedicated to anatomy assessment limited student accountability. This study revealed critical insights into small group learning in compressed anatomy education, including the need to balance student active learning opportunities with appropriate direction and feedback (including assessment). © 2015 American Association of Anatomists.

Enabling an Integrated Rate-temporal Learning Scheme on Memristor

NASA Astrophysics Data System (ADS)

He, Wei; Huang, Kejie; Ning, Ning; Ramanathan, Kiruthika; Li, Guoqi; Jiang, Yu; Sze, Jiayin; Shi, Luping; Zhao, Rong; Pei, Jing

2014-04-01

Learning scheme is the key to the utilization of spike-based computation and the emulation of neural/synaptic behaviors toward realization of cognition. The biological observations reveal an integrated spike time- and spike rate-dependent plasticity as a function of presynaptic firing frequency. However, this integrated rate-temporal learning scheme has not been realized on any nano devices. In this paper, such scheme is successfully demonstrated on a memristor. Great robustness against the spiking rate fluctuation is achieved by waveform engineering with the aid of good analog properties exhibited by the iron oxide-based memristor. The spike-time-dependence plasticity (STDP) occurs at moderate presynaptic firing frequencies and spike-rate-dependence plasticity (SRDP) dominates other regions. This demonstration provides a novel approach in neural coding implementation, which facilitates the development of bio-inspired computing systems.

Computer-based teaching module design: principles derived from learning theories.

PubMed

Lau, K H Vincent

2014-03-01

The computer-based teaching module (CBTM), which has recently gained prominence in medical education, is a teaching format in which a multimedia program serves as a single source for knowledge acquisition rather than playing an adjunctive role as it does in computer-assisted learning (CAL). Despite empirical validation in the past decade, there is limited research into the optimisation of CBTM design. This review aims to summarise research in classic and modern multimedia-specific learning theories applied to computer learning, and to collapse the findings into a set of design principles to guide the development of CBTMs. Scopus was searched for: (i) studies of classic cognitivism, constructivism and behaviourism theories (search terms: 'cognitive theory' OR 'constructivism theory' OR 'behaviourism theory' AND 'e-learning' OR 'web-based learning') and their sub-theories applied to computer learning, and (ii) recent studies of modern learning theories applied to computer learning (search terms: 'learning theory' AND 'e-learning' OR 'web-based learning') for articles published between 1990 and 2012. The first search identified 29 studies, dominated in topic by the cognitive load, elaboration and scaffolding theories. The second search identified 139 studies, with diverse topics in connectivism, discovery and technical scaffolding. Based on their relative representation in the literature, the applications of these theories were collapsed into a list of CBTM design principles. Ten principles were identified and categorised into three levels of design: the global level (managing objectives, framing, minimising technical load); the rhetoric level (optimising modality, making modality explicit, scaffolding, elaboration, spaced repeating), and the detail level (managing text, managing devices). This review examined the literature in the application of learning theories to CAL to develop a set of principles that guide CBTM design. Further research will enable educators to take advantage of this unique teaching format as it gains increasing importance in medical education. © 2014 John Wiley & Sons Ltd.

A full XML-based approach to creating hypermedia learning modules in web-based environments: application to a pathology course.

PubMed

Staccini, Pascal; Dufour, Jean -Charles; Joubert, Michel; Michiels, Jean -François; Fieschi, Marius

2003-01-01

Nowadays, web-based learning services are a key topic in the pedagogical and learning strategies of universities. While organisational and teaching requirements of the learning environment are being evaluated, technical specifications are emerging, enabling educators to build advanced "units of learning". Changes, however, take a long time and cost-effective solutions have to be found to involve our institutions in such actions. In this paper, we present a model of the components of a course. We detail the method followed to implement this model in hypermedia modules with a viewer that can be played on line or from a CD-ROM. The XML technology has been used to implement all the data structures and a client-side architecture has been designed to build a course viewer. Standards of description of content (such as Dublin Core and DocBook) have been integrated into the data structures. This tool has been populated with data from a pathology course and supports other medical contents. The choice of the architecture and the usefulness of the programming tools are discussed. The means of migrating towards a server-side application are presented.

Altruistic learning.

PubMed

Seymour, Ben; Yoshida, Wako; Dolan, Ray

2009-01-01

The origin of altruism remains one of the most enduring puzzles of human behaviour. Indeed, true altruism is often thought either not to exist, or to arise merely as a miscalculation of otherwise selfish behaviour. In this paper, we argue that altruism emerges directly from the way in which distinct human decision-making systems learn about rewards. Using insights provided by neurobiological accounts of human decision-making, we suggest that reinforcement learning in game-theoretic social interactions (habitisation over either individuals or games) and observational learning (either imitative of inference based) lead to altruistic behaviour. This arises not only as a result of computational efficiency in the face of processing complexity, but as a direct consequence of optimal inference in the face of uncertainty. Critically, we argue that the fact that evolutionary pressure acts not over the object of learning ('what' is learned), but over the learning systems themselves ('how' things are learned), enables the evolution of altruism despite the direct threat posed by free-riders.

Issues in the Adoption of Broadband-Enabled Learning

ERIC Educational Resources Information Center

Murphy, Elizabeth

2005-01-01

This paper presents one case of broadband-enabled learning (BEL) involving geo-culturally and organisationally diverse collaboration using music as the vehicle. Findings from five evaluations over a 15-month period were considered in relation to issues of relative advantage, compatibility, complexity, trialability, and observability. Advantages…

Exploring the classroom practices that may enable a compassionate approach to financial literacy education

NASA Astrophysics Data System (ADS)

Blue, Levon Ellen; O'Brien, Mia; Makar, Katie

2017-08-01

From an early age, children are faced with financial dilemmas and are expected to make effective financial decisions about money. In this paper, we explore the classroom practices that may enable a compassionate approach to financial literacy education. We observed an inquiry-based mathematics lesson in a Year 4 primary school classroom. The financial maths task asked students to decide on the best fundraising option for the school. We used the theory of practice architectures to analyse the interactions in the classroom in order to understand what may have enabled and constrained classroom practices. We found that classroom practices such as engaging with peers through positive and collaborative learning opportunities, making ethical, social and mathematical connections of the task, and considering the impact of financial decisions on others may enable a compassionate approach to financial literacy education.

Exploring the classroom practices that may enable a compassionate approach to financial literacy education

NASA Astrophysics Data System (ADS)

Blue, Levon Ellen; O'Brien, Mia; Makar, Katie

2018-06-01

From an early age, children are faced with financial dilemmas and are expected to make effective financial decisions about money. In this paper, we explore the classroom practices that may enable a compassionate approach to financial literacy education. We observed an inquiry-based mathematics lesson in a Year 4 primary school classroom. The financial maths task asked students to decide on the best fundraising option for the school. We used the theory of practice architectures to analyse the interactions in the classroom in order to understand what may have enabled and constrained classroom practices. We found that classroom practices such as engaging with peers through positive and collaborative learning opportunities, making ethical, social and mathematical connections of the task, and considering the impact of financial decisions on others may enable a compassionate approach to financial literacy education.

Using a Web GIS Plate Tectonics Simulation to Promote Geospatial Thinking

ERIC Educational Resources Information Center

Bodzin, Alec M.; Anastasio, David; Sharif, Rajhida; Rutzmoser, Scott

2016-01-01

Learning with Web-based geographic information system (Web GIS) can promote geospatial thinking and analysis of georeferenced data. Web GIS can enable learners to analyze rich data sets to understand spatial relationships that are managed in georeferenced data visualizations. We developed a Web GIS plate tectonics simulation as a capstone learning…

Sortings, Cutaways, and Bindings: Quilt-Making as Arts-Based Practice for Social Justice Teaching

ERIC Educational Resources Information Center

Kuthy, Diane; Broadwater, Kay

2014-01-01

This article describes a studio assignment grounded in social learning theory and intersectionality completed by preservice teachers during their first art education class, enabling students to begin to develop nuanced understandings about categories of difference. A studio assignment combines experiences in museum, community, and school settings…

The Instructional Effects of Knowledge-Based Community of Practice Learning Environment on Student Achievement and Knowledge Convergence

ERIC Educational Resources Information Center

Draper, Darryl C.

2013-01-01

The increased accessibility of technology and Internet connections has enabled organizations to provide their workforces with the opportunity to engage in distributed education. "Harnessing this innovation calls for organizational and technological infrastructures that support the interplay of knowledge and knowing" (Cook & Brown, 1999, p. 381).…

Beyond Functionality and Technocracy: Creating Human Involvement with Educational Technology

ERIC Educational Resources Information Center

Westera, Wim

2005-01-01

Innovation of education is highly topical. It is obviously boosted by a range of new technologies, which enable new modes of learning that, are independent of time and place through Web-based delivery and computer-mediated communication. However, innovators in education often encounter intrinsic conservatism or even deliberate obstructions. For…

RELATE Competencies and Enablers Statements. Teacher Education Forum Series. Vol. 1, No. 5.

ERIC Educational Resources Information Center

Harste, Jerome C.; And Others

This report displays and briefly describes the set of professional competencies and other learning outcomes that comprise the objectives for elementary majors enrolled in the Indiana University competency-based teacher education program known as RELATE (Reading and Language Arts Teacher Education). This report is divided into 10 units and lists…

Reasons to Be Cheerful? Why Teachers' Beliefs Could yet Bring about Change in Schools

ERIC Educational Resources Information Center

Berry, Jon

2016-01-01

This article revisits Douglas Barnes's book-length exploration of the implications for teachers of a constructivist epistemology, notably in relation to the importance of small-group talk in classrooms. Empirically based consideration of small-group exploratory pupil-pupil talk enabled Barnes to reveal the learning strategies such a context…

Integration of e-Management, e-Development and e-Learning Technologies for Blended Course Delivery

ERIC Educational Resources Information Center

Johnson, Lynn E.; Tang, Michael

2005-01-01

This paper describes and assesses a pre-engineering curriculum development project called Foundations of Engineering, Science and Technology (FEST). FEST integrates web-based technologies into an inter-connected system to enable delivery of a blended program at multiple institutions. Tools and systems described include 1) technologies to deliver…

Rhetorics of Professional Change: Assembling the Means to Act Differently?

ERIC Educational Resources Information Center

Reeves, Jenny; I'Anson, John

2014-01-01

In an earlier study of learning on a practice-based postgraduate programme participants indicated that certain artefacts were critically important in enabling them to gain "permission" to act differently in their schools. Picking up on this suggestion, this study begins to explore how looking at the composition of texts by teachers as a…

The Future Compatible Campus. Planning, Designing, and Implementing Information Technology in the Academy.

ERIC Educational Resources Information Center

Oblinger, Diana G., Ed.; Rush, Sean C., Ed.

This collection of 16 monographs centers around the theme the "future compatible campus," which is based on the premise that higher education will become a "connected campus" in a technology-enabled environment consisting of three components: connected learning, connected service to the community; and connected management. In…

Double-Polymer-Modified Pencil Lead for Stripping Voltammetry of Perchlorate in Drinking Water

ERIC Educational Resources Information Center

Izadyar, Anahita; Kim, Yushin; Ward, Michelle M.; Amemiya, Shigeru

2012-01-01

The inexpensive and disposable electrode based on a double-polymer-modified pencil lead is proposed for upper-division undergraduate instrumental laboratories to enable the highly sensitive detection of perchlorate. Students fabricate and utilize their own electrodes in the 3-4 h laboratory session to learn important concepts and methods of…

Measuring the Depth of an Impact Crater Using an Internal Shadow

ERIC Educational Resources Information Center

Scott, Robert; Xinrong, Shen; Mulley, Ian; Pan, Zili

2013-01-01

The introduction of a planetary science topic into teaching provides an opportunity for teachers to broaden the science base and offer an enrichment activity outside the National Curriculum. It enables students to undertake independent learning by engaging in a scientific investigation relevant to the real world. Here, more able students are given…

Curriculum Making as Novice Professional Development: Practical Risk Taking as Learning in High-Stakes Times

ERIC Educational Resources Information Center

Clayton, Christine D.

2007-01-01

This qualitative case study presents three novices in urban schools who enacted curricular projects as participants in a university-based professional development program. This experience created an opportunity for practical risk taking, enabling them to consider the consequences of curricular choices in personal terms. Such professional…

Use of a Progress Monitoring System to Enable Teachers to Differentiate Mathematics Instruction

ERIC Educational Resources Information Center

Ysseldyke, Jim; Tardrew, Steve

2007-01-01

We explored how a progress monitoring and instructional management system can be used to help educators differentiate instruction and meet the wide-ranging learning needs of their increasingly diverse classrooms. We compared classrooms in 24 states that used a curriculum-based progress monitoring and instructional management system, Accelerated…

Using Digital Mapping Programs to Augment Student Learning in Social Studies

ERIC Educational Resources Information Center

Chandler, Thomas; An, Heejung

2007-01-01

Thomas Chandler and Heejung An describe how digital mapping technology can be incorporated into community-based K-12 social studies projects. According to Chandler and An, digital mapping can add value to the social studies curriculum by enabling students to better understand the interdependence between the lives of individuals and their…

Spiking Neural Networks Based on OxRAM Synapses for Real-Time Unsupervised Spike Sorting.

PubMed

Werner, Thilo; Vianello, Elisa; Bichler, Olivier; Garbin, Daniele; Cattaert, Daniel; Yvert, Blaise; De Salvo, Barbara; Perniola, Luca

2016-01-01

In this paper, we present an alternative approach to perform spike sorting of complex brain signals based on spiking neural networks (SNN). The proposed architecture is suitable for hardware implementation by using resistive random access memory (RRAM) technology for the implementation of synapses whose low latency (<1μs) enables real-time spike sorting. This offers promising advantages to conventional spike sorting techniques for brain-computer interfaces (BCI) and neural prosthesis applications. Moreover, the ultra-low power consumption of the RRAM synapses of the spiking neural network (nW range) may enable the design of autonomous implantable devices for rehabilitation purposes. We demonstrate an original methodology to use Oxide based RRAM (OxRAM) as easy to program and low energy (<75 pJ) synapses. Synaptic weights are modulated through the application of an online learning strategy inspired by biological Spike Timing Dependent Plasticity. Real spiking data have been recorded both intra- and extracellularly from an in-vitro preparation of the Crayfish sensory-motor system and used for validation of the proposed OxRAM based SNN. This artificial SNN is able to identify, learn, recognize and distinguish between different spike shapes in the input signal with a recognition rate about 90% without any supervision.

PredPsych: A toolbox for predictive machine learning-based approach in experimental psychology research.

PubMed

Koul, Atesh; Becchio, Cristina; Cavallo, Andrea

2017-12-12

Recent years have seen an increased interest in machine learning-based predictive methods for analyzing quantitative behavioral data in experimental psychology. While these methods can achieve relatively greater sensitivity compared to conventional univariate techniques, they still lack an established and accessible implementation. The aim of current work was to build an open-source R toolbox - "PredPsych" - that could make these methods readily available to all psychologists. PredPsych is a user-friendly, R toolbox based on machine-learning predictive algorithms. In this paper, we present the framework of PredPsych via the analysis of a recently published multiple-subject motion capture dataset. In addition, we discuss examples of possible research questions that can be addressed with the machine-learning algorithms implemented in PredPsych and cannot be easily addressed with univariate statistical analysis. We anticipate that PredPsych will be of use to researchers with limited programming experience not only in the field of psychology, but also in that of clinical neuroscience, enabling computational assessment of putative bio-behavioral markers for both prognosis and diagnosis.

Incremental Support Vector Machine Framework for Visual Sensor Networks

NASA Astrophysics Data System (ADS)

Awad, Mariette; Jiang, Xianhua; Motai, Yuichi

2006-12-01

Motivated by the emerging requirements of surveillance networks, we present in this paper an incremental multiclassification support vector machine (SVM) technique as a new framework for action classification based on real-time multivideo collected by homogeneous sites. The technique is based on an adaptation of least square SVM (LS-SVM) formulation but extends beyond the static image-based learning of current SVM methodologies. In applying the technique, an initial supervised offline learning phase is followed by a visual behavior data acquisition and an online learning phase during which the cluster head performs an ensemble of model aggregations based on the sensor nodes inputs. The cluster head then selectively switches on designated sensor nodes for future incremental learning. Combining sensor data offers an improvement over single camera sensing especially when the latter has an occluded view of the target object. The optimization involved alleviates the burdens of power consumption and communication bandwidth requirements. The resulting misclassification error rate, the iterative error reduction rate of the proposed incremental learning, and the decision fusion technique prove its validity when applied to visual sensor networks. Furthermore, the enabled online learning allows an adaptive domain knowledge insertion and offers the advantage of reducing both the model training time and the information storage requirements of the overall system which makes it even more attractive for distributed sensor networks communication.

A wearable computing platform for developing cloud-based machine learning models for health monitoring applications.

PubMed

Patel, Shyamal; McGinnis, Ryan S; Silva, Ikaro; DiCristofaro, Steve; Mahadevan, Nikhil; Jortberg, Elise; Franco, Jaime; Martin, Albert; Lust, Joseph; Raj, Milan; McGrane, Bryan; DePetrillo, Paolo; Aranyosi, A J; Ceruolo, Melissa; Pindado, Jesus; Ghaffari, Roozbeh

2016-08-01

Wearable sensors have the potential to enable clinical-grade ambulatory health monitoring outside the clinic. Technological advances have enabled development of devices that can measure vital signs with great precision and significant progress has been made towards extracting clinically meaningful information from these devices in research studies. However, translating measurement accuracies achieved in the controlled settings such as the lab and clinic to unconstrained environments such as the home remains a challenge. In this paper, we present a novel wearable computing platform for unobtrusive collection of labeled datasets and a new paradigm for continuous development, deployment and evaluation of machine learning models to ensure robust model performance as we transition from the lab to home. Using this system, we train activity classification models across two studies and track changes in model performance as we go from constrained to unconstrained settings.

Intrinsic interactive reinforcement learning - Using error-related potentials for real world human-robot interaction.

PubMed

Kim, Su Kyoung; Kirchner, Elsa Andrea; Stefes, Arne; Kirchner, Frank

2017-12-14

Reinforcement learning (RL) enables robots to learn its optimal behavioral strategy in dynamic environments based on feedback. Explicit human feedback during robot RL is advantageous, since an explicit reward function can be easily adapted. However, it is very demanding and tiresome for a human to continuously and explicitly generate feedback. Therefore, the development of implicit approaches is of high relevance. In this paper, we used an error-related potential (ErrP), an event-related activity in the human electroencephalogram (EEG), as an intrinsically generated implicit feedback (rewards) for RL. Initially we validated our approach with seven subjects in a simulated robot learning scenario. ErrPs were detected online in single trial with a balanced accuracy (bACC) of 91%, which was sufficient to learn to recognize gestures and the correct mapping between human gestures and robot actions in parallel. Finally, we validated our approach in a real robot scenario, in which seven subjects freely chose gestures and the real robot correctly learned the mapping between gestures and actions (ErrP detection (90% bACC)). In this paper, we demonstrated that intrinsically generated EEG-based human feedback in RL can successfully be used to implicitly improve gesture-based robot control during human-robot interaction. We call our approach intrinsic interactive RL.

Exploring a potential energy surface by machine learning for characterizing atomic transport

NASA Astrophysics Data System (ADS)

Kanamori, Kenta; Toyoura, Kazuaki; Honda, Junya; Hattori, Kazuki; Seko, Atsuto; Karasuyama, Masayuki; Shitara, Kazuki; Shiga, Motoki; Kuwabara, Akihide; Takeuchi, Ichiro

2018-03-01

We propose a machine-learning method for evaluating the potential barrier governing atomic transport based on the preferential selection of dominant points for atomic transport. The proposed method generates numerous random samples of the entire potential energy surface (PES) from a probabilistic Gaussian process model of the PES, which enables defining the likelihood of the dominant points. The robustness and efficiency of the method are demonstrated on a dozen model cases for proton diffusion in oxides, in comparison with a conventional nudge elastic band method.

Enabling Remote Activity: Using mobile technology for remote participation in geoscience fieldwork

NASA Astrophysics Data System (ADS)

Davies, Sarah; Collins, Trevor; Gaved, Mark; Bartlett, Jessica; Valentine, Chris; McCann, Lewis

2010-05-01

Field-based activities are regarded as essential to the development of a range of professional and personal skills within the geosciences. Students enjoy field activities, preferring these to learning with simulations (Spicer and Stratford 2001), and these improve deeper learning and understanding (Kern and Carpenter, 1984; Elkins and Elkins, 2007). However, some students find it difficult to access these field-based learning opportunities. Field sites may be remote and often require travel across uneven, challenging or potentially dangerous terrain. Mobility-impaired students are particularly limited in their opportunities to participate in field-based learning activities and, as higher education institutions have a responsibility to provide inclusive opportunities for students (UK Disability Discrimination Act 1995, UK Special Education Needs and Disability Rights Act 2001), the need for inclusive fieldwork learning is being increasingly recognised. The Enabling Remote Activity (ERA) project has been investigating how mobile communications technologies might allow field learning experiences to be brought to students who would otherwise find it difficult to participate, and also to enhance activities for all participants. It uses a rapidly deployable, battery-powered wireless network to transmit video, audio, and high resolution still images to connect participants at an accessible location with participants in the field. Crucially, the system uses a transient wireless network, allowing multiple locations to be explored during a field visit, and for plans to be changed dynamically if required. Central to the concept is the requirement for independent investigative learning: students are enabled to participate actively in the learning experience and to direct the investigations, as opposed to being simply remote viewers of the experience. Two ways of using the ERA system have been investigated: remote access and collaborative groupwork. In 2006 and 2008 remote access was used to enable mobility-impaired students to take part in and complete a field course. This involved connecting the student in an accessible vehicle located close to the field site, via a wireless network, to a geologist in the field. The geologist worked alongside the general body of students and the field tutor as each geological site was investigated. Two-way communications allowed the student to guide the geologist to provide video panoramas of the area, to select areas of interest for further study and to obtain high resolution images of specific points. The students were able to work through the field activities alongside the rest of the student group. A collaborative groupwork trial (2007) was used to connect two groups of students; one in an accessible laboratory, the other at a field site. Traditionally, students collect data in the field and analyze it on return to the laboratory; this system proposes a more rapid collection and analysis procedure, with information being transmitted between sites with field and laboratory participants having their own distinct, significant roles within the learning activity. This project recently received an award at the 2008 Handheld Learning Conference and a HEFCE sponsored Open University Teaching Award. In contrast to the use of ‘virtual fieldwork' that aims to provide simulations or a resource for a student to use, the focus of this project is on how technology can be used to support actual fieldwork activities. This approach has been trialled now over three field seasons, with students using the system to remotely participate in fieldwork activities. Interviews with tutors and students have shown that this was perceived as valuable and allowed participants to achieve the learning objectives of the course alongside their peers. The challenges of remote fieldwork concern the co-ordination of students' activities, the integration of remote and field activities and practical issues of lightweight, easy-to-use, robust technologies and the provision of a reliable communications network. References Elkins, J.T. & Elkins, N.M.L. (2007) Teaching geology in the field: significant geoscience concept gains in entirely field-based introductory geology courses. Journal of Geoscience Education, 55 (2), 126-132. Kern, E. and Carpenter, J. (2004). Enhancement of student values, interests and attitudes in Earth Science through a field-oriented approach. Journal of Geological Education, 32 (5), 299-305. Spicer, J. I. and Stratford, J. (2001) Student perceptions of a virtual field trip to replace a real field trip. Journal of Computer Assisted Learning, 17(4), 345-354.

Integrating Touch-Enabled and Mobile Devices into Contemporary Mathematics Education

ERIC Educational Resources Information Center

Meletiou-Mavrotheris, Maria, Ed.; Mavrou, Katerina, Ed.; Paparistodemou, Efi, Ed.

2015-01-01

Despite increased interest in mobile devices as learning tools, the amount of available primary research studies on their integration into mathematics teaching and learning is still relatively small due to the novelty of these technologies. "Integrating Touch-Enabled and Mobile Devices into Contemporary Mathematics Education" presents…

Student Agency for Powerful Learning

ERIC Educational Resources Information Center

Wiliams, Philip

2017-01-01

School libraries play a powerful role in enabling, informing, and sustaining student agency, and nothing engages and motivates students more deeply than enabling them to become the active agents in the process of learning. Students with agency are powerful learners who are prepared to engage with the world with sustained, courageous curiosity.…

Organizational and Relational Factors in Professional Learning Communities

ERIC Educational Resources Information Center

Gray, Julie; Mitchell, Roxanne; Tarter, C. John

2014-01-01

The roles of organizational and relational factors in regard to professional learning communities (PLCs) have been investigated by many, yet none have considered enabling school structures, trust, and collective efficacy as variables. We take a deeper look at the formal or organizational aspects of the school represented by enabling school…

The Role of Virtual Learning Environment in Improving Information and Communication Technology Adoption in Teaching Exploring How Virtual Learning Environments Improve University Teacher's Attitudes about the Use of Information and Communication Technology

ERIC Educational Resources Information Center

Ageel, Mohammed

2012-01-01

The adoption of ICT-enabled teaching in contemporary schools has largely lagged behind despite its obvious and many benefits, mainly because teachers still hold ignorant, misinformed and highly negative attitudes towards ICT-enabled teaching. This article aimed at investigating the effect of Virtual Learning Environments (VLE) on university…

Exploring in teaching mode of Optical Fiber Sensing Technology outcomes-based education (OBE)

NASA Astrophysics Data System (ADS)

Fu, Guangwei; Fu, Xinghu; Zhang, Baojun; Bi, Weihong

2017-08-01

Combining with the characteristics of disciplines and OBE mode, also aiming at the phenomena of low learning enthusiasm for the major required courses for senior students, the course of optical fiber sensing was chosen as the demonstration for the teaching mode reform. In the light of "theory as the base, focus on the application, highlighting the practice" principle, we emphasis on the introduction of the latest scientific research achievements and current development trends, highlight the practicability and practicality. By observation learning and course project, enables students to carry out innovative project design and implementation means related to the practical problems in science and engineering of this course.

Implementing simulated learning modules to improve students’ pharmacy practice skills and professionalism

PubMed Central

Fejzic, Jasmina; Barker, Michelle

2015-01-01

Background: Effective communication enables healthcare professionals and students to practise their disciplines in a professional and competent manner. Simulated-based education (SBE) has been increasingly used to improve students’ communication and practice skills in Health Education. Objective: Simulated learning modules (SLMs) were developed using practice-based scenarios grounded in effective communication competencies. The effect of the SLMs on Pharmacy students’ (i) Practice skills and (ii) Professionalism were evaluated. Methods: SLMs integrating EXCELL competencies were applied in the classroom to study their effect on a number of learning outcomes. EXcellence in Cultural Experiential Learning and Leadership (EXCELL) Program is a schematic, evidence-based professional development resource centred around developing participants’ self-efficacy and generic communication competencies. Students (N=95) completed three hours of preliminary lectures and eight hours of SLM workshops including six scenarios focused on Pharmacy Practice and Experiential Placements. Each SLM included briefing, role-plays with actors, facilitation, and debriefing on EXCELL social interaction maps (SIMs). Evaluations comprised quantitative and qualitative survey responsed by students before and post-workshops, and post-placements, and teachers’ reflections. Surveys examine specific learning outcomes by using pharmacy professionalism and pharmacy practice effectiveness scales. Responses were measured prior to the commencement of SLMs, after completion of the two workshops and after students completed their block placement. Self-report measures enabled students to self-assess whether any improvements occurred. Results: Student responses were overwhelmingly positive and indicated significant improvements in their Pharmacy practice and professionalism skills, and commitment to professional ethics. Qualitative feedback strongly supported students’ improved communication skills and confidence. Teacher reflections observed ecological validity of SLMs as a method to enhance professionalism and communication skills, and suggested ways to improve this teaching modality. Conclusion: Inclusion of SLMs centred on practice and professionalism was evaluated as an effective, teaching strategy by students and staff. The integration of SIMs in SLMs has potential for wider application in clinical teaching. PMID:26445619

Managing clinical failure: a complex adaptive system perspective.

PubMed

Matthews, Jean I; Thomas, Paul T

2007-01-01

The purpose of this article is to explore the knowledge capture process at the clinical level. It aims to identify factors that enable or constrain learning. The study applies complex adaptive system thinking principles to reconcile learning within the NHS. The paper uses a qualitative exploratory study with an interpretative methodological stance set in a secondary care NHS Trust. Semi-structured interviews were conducted with healthcare practitioners and managers involved at both strategic and operational risk management processes. A network structure is revealed that exhibits the communication and interdependent working practices to support knowledge capture and adaptive learning. Collaborative multidisciplinary communities, whose values reflect local priorities and promote open dialogue and reflection, are featured. The main concern is that the characteristics of bureaucracy; rational-legal authority, a rule-based culture, hierarchical lines of communication and a centralised governance focus, are hindering clinical learning by generating barriers. Locally emergent collaborative processes are a key strategic resource to capture knowledge, potentially fostering an environment that could learn from failure and translate lessons between contexts. What must be addressed is that reporting mechanisms serve not only the governance objectives, but also supplement learning by highlighting the potential lessons in context. Managers must nurture a collaborative infrastructure using networks in a co-evolutionary manner. Their role is not to direct and design processes but to influence, support and create effective knowledge capture. Although the study only investigated one site the findings and conclusions may well translate to other trusts--such as the risk of not enabling a learning environment at clinical levels.

Retrieval evaluation and distance learning from perceived similarity between endomicroscopy videos.

PubMed

André, Barbara; Vercauteren, Tom; Buchner, Anna M; Wallace, Michael B; Ayache, Nicholas

2011-01-01

Evaluating content-based retrieval (CBR) is challenging because it requires an adequate ground-truth. When the available groundtruth is limited to textual metadata such as pathological classes, retrieval results can only be evaluated indirectly, for example in terms of classification performance. In this study we first present a tool to generate perceived similarity ground-truth that enables direct evaluation of endomicroscopic video retrieval. This tool uses a four-points Likert scale and collects subjective pairwise similarities perceived by multiple expert observers. We then evaluate against the generated ground-truth a previously developed dense bag-of-visual-words method for endomicroscopic video retrieval. Confirming the results of previous indirect evaluation based on classification, our direct evaluation shows that this method significantly outperforms several other state-of-the-art CBR methods. In a second step, we propose to improve the CBR method by learning an adjusted similarity metric from the perceived similarity ground-truth. By minimizing a margin-based cost function that differentiates similar and dissimilar video pairs, we learn a weight vector applied to the visual word signatures of videos. Using cross-validation, we demonstrate that the learned similarity distance is significantly better correlated with the perceived similarity than the original visual-word-based distance.

Subject-Specific Sparse Dictionary Learning for Atlas-Based Brain MRI Segmentation.

PubMed

Roy, Snehashis; He, Qing; Sweeney, Elizabeth; Carass, Aaron; Reich, Daniel S; Prince, Jerry L; Pham, Dzung L

2015-09-01

Quantitative measurements from segmentations of human brain magnetic resonance (MR) images provide important biomarkers for normal aging and disease progression. In this paper, we propose a patch-based tissue classification method from MR images that uses a sparse dictionary learning approach and atlas priors. Training data for the method consists of an atlas MR image, prior information maps depicting where different tissues are expected to be located, and a hard segmentation. Unlike most atlas-based classification methods that require deformable registration of the atlas priors to the subject, only affine registration is required between the subject and training atlas. A subject-specific patch dictionary is created by learning relevant patches from the atlas. Then the subject patches are modeled as sparse combinations of learned atlas patches leading to tissue memberships at each voxel. The combination of prior information in an example-based framework enables us to distinguish tissues having similar intensities but different spatial locations. We demonstrate the efficacy of the approach on the application of whole-brain tissue segmentation in subjects with healthy anatomy and normal pressure hydrocephalus, as well as lesion segmentation in multiple sclerosis patients. For each application, quantitative comparisons are made against publicly available state-of-the art approaches.

Making connections: Where STEM learning and Earth science data services meet

NASA Astrophysics Data System (ADS)

Bugbee, K.; Ramachandran, R.; Maskey, M.; Gatlin, P. N.; Weigel, A. M.

2016-12-01

STEM learning is most effective when students are encouraged to see the connections between science, technology and real world problems. Helping to make these connections has become an increasingly important aspect of Earth science data research. The Global Hydrology Resource Center (GHRC), one of NASA's 12 EOSDIS data centers, has developed a new type of documentation called the micro article to facilitate making connections between data and Earth science research problems. Micro articles are short academic texts that enable a reader to quickly understand a scientific phenomena, a case study, or an instrument used to collect data. While originally designed to increase data discovery and usability, micro articles also serve as a reliable starting point for project-based learning, an educational approach in STEM education, for high school and higher education environments. This presentation will highlight micro articles at the Global Hydrology Resource Center data center and will demonstrate the potential applications of micro articles in project-based learning.

The computational neurobiology of learning and reward.

PubMed

Daw, Nathaniel D; Doya, Kenji

2006-04-01

Following the suggestion that midbrain dopaminergic neurons encode a signal, known as a 'reward prediction error', used by artificial intelligence algorithms for learning to choose advantageous actions, the study of the neural substrates for reward-based learning has been strongly influenced by computational theories. In recent work, such theories have been increasingly integrated into experimental design and analysis. Such hybrid approaches have offered detailed new insights into the function of a number of brain areas, especially the cortex and basal ganglia. In part this is because these approaches enable the study of neural correlates of subjective factors (such as a participant's beliefs about the reward to be received for performing some action) that the computational theories purport to quantify.

Seizure Forecasting and the Preictal State in Canine Epilepsy.

PubMed

Varatharajah, Yogatheesan; Iyer, Ravishankar K; Berry, Brent M; Worrell, Gregory A; Brinkmann, Benjamin H

2017-02-01

The ability to predict seizures may enable patients with epilepsy to better manage their medications and activities, potentially reducing side effects and improving quality of life. Forecasting epileptic seizures remains a challenging problem, but machine learning methods using intracranial electroencephalographic (iEEG) measures have shown promise. A machine-learning-based pipeline was developed to process iEEG recordings and generate seizure warnings. Results support the ability to forecast seizures at rates greater than a Poisson random predictor for all feature sets and machine learning algorithms tested. In addition, subject-specific neurophysiological changes in multiple features are reported preceding lead seizures, providing evidence supporting the existence of a distinct and identifiable preictal state.

SEIZURE FORECASTING AND THE PREICTAL STATE IN CANINE EPILEPSY

PubMed Central

Varatharajah, Yogatheesan; Iyer, Ravishankar K.; Berry, Brent M.; Worrell, Gregory A.; Brinkmann, Benjamin H.

2017-01-01

The ability to predict seizures may enable patients with epilepsy to better manage their medications and activities, potentially reducing side effects and improving quality of life. Forecasting epileptic seizures remains a challenging problem, but machine learning methods using intracranial electroencephalographic (iEEG) measures have shown promise. A machine-learning-based pipeline was developed to process iEEG recordings and generate seizure warnings. Results support the ability to forecast seizures at rates greater than a Poisson random predictor for all feature sets and machine learning algorithms tested. In addition, subject-specific neurophysiological changes in multiple features are reported preceding lead seizures, providing evidence supporting the existence of a distinct and identifiable preictal state. PMID:27464854

Analysis of adverse events as a contribution to safety culture in the context of practice development

PubMed

Hoffmann, Susanne; Frei, Irena Anna

2017-01-01

Background: Analysing adverse events is an effective patient safety measure. Aim: We show, how clinical nurse specialists have been enabled to analyse adverse events with the „Learning from Defects-Tool“ (LFD-Tool). Method: Our multi-component implementation strategy addressed both, the safety knowledge of clinical nurse specialists and their attitude towards patient safety. The culture of practice development was taken into account. Results: Clinical nurse specialists relate competency building on patient safety due to the application of the LFD-tool. Applying the tool, fosters the reflection of adverse events in care teams. Conclusion: Applying the „Learning from Defects-Tool“ promotes work-based learning. Analysing adverse events with the „Learning from Defects-Tool“ contributes to the safety culture in a hospital.

Smart Learning: Are We Ready for It?

ERIC Educational Resources Information Center

Poulova, Petra; Klimova, Blanka

2015-01-01

Nowadays learning, particularly the university learning, is supported with modern information and communication technologies. These technologies also enable electronic learning, known as eLearning, which is now firmly established at almost all institutions of higher learning in developed and developing countries. Moreover, at present eLearning is…

[Public Health as an Applied, Multidisciplinary Subject: Is Research-Based Learning the Answer to Challenges in Learning and Teaching?

PubMed

Gerhardus, A; Schilling, I; Voss, M

2017-03-01

Public health education aims at enabling students to deal with complex health-related challenges using appropriate methods based on sound theoretical understanding. Virtually all health-related problems in science and practice require the involvement of different disciplines. However, the necessary interdisciplinarity is only partly reflected in the curricula of public health courses. Also theories, methods, health topics, and their application are often taught side-by-side and not together. For students, it can become an insurmountable challenge to integrate the different disciplines ("horizontal integration") and theories, methods, health topics, and their application ("vertical integration"). This situation is specific for education in public health but is representative for other interdisciplinary fields as well. Several approaches are available to achieve the horizontal integration of different disciplines and vertical integration of theories, methods, health topics, and their application. A curriculum that is structured by topics, rather than disciplines might be more successful in integrating different disciplines. Vertical integration can be achieved by research-based learning. Research-based learning places a student-led research project at the centre of teaching. Students choose a topic and a research question, raise their own questions for theories and methods and will hopefully cross the seeming chasm between science and practice. Challenges of research-based learning are enhanced demands on students, teachers and curriculum design. © Georg Thieme Verlag KG Stuttgart · New York.

Teaching Human Poses Interactively to a Social Robot

PubMed Central

Gonzalez-Pacheco, Victor; Malfaz, Maria; Fernandez, Fernando; Salichs, Miguel A.

2013-01-01

The main activity of social robots is to interact with people. In order to do that, the robot must be able to understand what the user is saying or doing. Typically, this capability consists of pre-programmed behaviors or is acquired through controlled learning processes, which are executed before the social interaction begins. This paper presents a software architecture that enables a robot to learn poses in a similar way as people do. That is, hearing its teacher's explanations and acquiring new knowledge in real time. The architecture leans on two main components: an RGB-D (Red-, Green-, Blue- Depth) -based visual system, which gathers the user examples, and an Automatic Speech Recognition (ASR) system, which processes the speech describing those examples. The robot is able to naturally learn the poses the teacher is showing to it by maintaining a natural interaction with the teacher. We evaluate our system with 24 users who teach the robot a predetermined set of poses. The experimental results show that, with a few training examples, the system reaches high accuracy and robustness. This method shows how to combine data from the visual and auditory systems for the acquisition of new knowledge in a natural manner. Such a natural way of training enables robots to learn from users, even if they are not experts in robotics. PMID:24048336

An Integrated Framework for Human-Robot Collaborative Manipulation.

PubMed

Sheng, Weihua; Thobbi, Anand; Gu, Ye

2015-10-01

This paper presents an integrated learning framework that enables humanoid robots to perform human-robot collaborative manipulation tasks. Specifically, a table-lifting task performed jointly by a human and a humanoid robot is chosen for validation purpose. The proposed framework is split into two phases: 1) phase I-learning to grasp the table and 2) phase II-learning to perform the manipulation task. An imitation learning approach is proposed for phase I. In phase II, the behavior of the robot is controlled by a combination of two types of controllers: 1) reactive and 2) proactive. The reactive controller lets the robot take a reactive control action to make the table horizontal. The proactive controller lets the robot take proactive actions based on human motion prediction. A measure of confidence of the prediction is also generated by the motion predictor. This confidence measure determines the leader/follower behavior of the robot. Hence, the robot can autonomously switch between the behaviors during the task. Finally, the performance of the human-robot team carrying out the collaborative manipulation task is experimentally evaluated on a platform consisting of a Nao humanoid robot and a Vicon motion capture system. Results show that the proposed framework can enable the robot to carry out the collaborative manipulation task successfully.

Teaching human poses interactively to a social robot.

PubMed

Gonzalez-Pacheco, Victor; Malfaz, Maria; Fernandez, Fernando; Salichs, Miguel A

2013-09-17

The main activity of social robots is to interact with people. In order to do that, the robot must be able to understand what the user is saying or doing. Typically, this capability consists of pre-programmed behaviors or is acquired through controlled learning processes, which are executed before the social interaction begins. This paper presents a software architecture that enables a robot to learn poses in a similar way as people do. That is, hearing its teacher's explanations and acquiring new knowledge in real time. The architecture leans on two main components: an RGB-D (Red-, Green-, Blue- Depth) -based visual system, which gathers the user examples, and an Automatic Speech Recognition (ASR) system, which processes the speech describing those examples. The robot is able to naturally learn the poses the teacher is showing to it by maintaining a natural interaction with the teacher. We evaluate our system with 24 users who teach the robot a predetermined set of poses. The experimental results show that, with a few training examples, the system reaches high accuracy and robustness. This method shows how to combine data from the visual and auditory systems for the acquisition of new knowledge in a natural manner. Such a natural way of training enables robots to learn from users, even if they are not experts in robotics.

Using machine learning to identify factors that govern amorphization of irradiated pyrochlores

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

Pilania, Ghanshyam; Whittle, Karl R.; Jiang, Chao

Structure–property relationships are a key materials science concept that enables the design of new materials. In the case of materials for application in radiation environments, correlating radiation tolerance with fundamental structural features of a material enables materials discovery. Here, we use a machine learning model to examine the factors that govern amorphization resistance in the complex oxide pyrochlore (A 2B 2O 7) in a regime in which amorphization occurs as a consequence of defect accumulation. We examine the fidelity of predictions based on cation radii and electronegativities, the oxygen positional parameter, and the energetics of disordering and amorphizing the material.more » No one factor alone adequately predicts amorphization resistance. We find that when multiple families of pyrochlores (with different B cations) are considered, radii and electronegativities provide the best prediction, but when the machine learning model is restricted to only the B = Ti pyrochlores, the energetics of disordering and amorphization are critical factors. We discuss how these static quantities provide insight into an inherently kinetic property such as amorphization resistance at finite temperature. Lastly, this work provides new insight into the factors that govern the amorphization susceptibility and highlights the ability of machine learning approaches to generate that insight.« less

Using machine learning to identify factors that govern amorphization of irradiated pyrochlores

DOE PAGES

Pilania, Ghanshyam; Whittle, Karl R.; Jiang, Chao; ...

2017-02-10

Structure–property relationships are a key materials science concept that enables the design of new materials. In the case of materials for application in radiation environments, correlating radiation tolerance with fundamental structural features of a material enables materials discovery. Here, we use a machine learning model to examine the factors that govern amorphization resistance in the complex oxide pyrochlore (A 2B 2O 7) in a regime in which amorphization occurs as a consequence of defect accumulation. We examine the fidelity of predictions based on cation radii and electronegativities, the oxygen positional parameter, and the energetics of disordering and amorphizing the material.more » No one factor alone adequately predicts amorphization resistance. We find that when multiple families of pyrochlores (with different B cations) are considered, radii and electronegativities provide the best prediction, but when the machine learning model is restricted to only the B = Ti pyrochlores, the energetics of disordering and amorphization are critical factors. We discuss how these static quantities provide insight into an inherently kinetic property such as amorphization resistance at finite temperature. Lastly, this work provides new insight into the factors that govern the amorphization susceptibility and highlights the ability of machine learning approaches to generate that insight.« less

Teaching evidence-based practice principles to prepare health professions students for an interprofessional learning experience.

PubMed

Aronoff, Nell; Stellrecht, Elizabeth; Lyons, Amy G; Zafron, Michelle L; Glogowski, Maryruth; Grabowski, Jeremiah; Ohtake, Patricia J

2017-10-01

The research assessed online learning modules designed to teach health professions students evidence-based practice (EBP) principles in an interprofessional context across two institutions. Students from nine health professions at two institutions were recruited to participate in this pilot project consisting of two online learning modules designed to prepare students for an in-person case-based interprofessional activity. Librarians and an instructional designer created two EBP modules. Students' competence in EBP was assessed before and after the modules as well as after the in-person activity. Students evaluated the online learning modules and their impact on the students' learning after the in-person session. A total of 39 students from 8 health professions programs participated in the project. Average quiz scores for online EBP module 1 and module 2 were 83% and 76%, respectively. Following completion of the learning modules, adapted Fresno test of competence in EBP scores increased ( p =0.001), indicating that the modules improved EBP skill competence. Student evaluations of the learning modules were positive. Students indicated that they acquired new information skills that contributed to their ability to develop a patient care plan and that they would use these information skills in their future clinical practice. Online EBP learning modules were effective in developing EBP knowledge and skills for health professions students. Using the same modules ensured that students from different health professions at different stages of their professional programs had consistent knowledge and enabled each student to fully engage in an interprofessional evidence-based activity. Student feedback indicated the modules were valued and beneficial.

The importance of knowledge-based technology.

PubMed

Cipriano, Pamela F

2012-01-01

Nurse executives are responsible for a workforce that can provide safer and more efficient care in a complex sociotechnical environment. National quality priorities rely on technologies to provide data collection, share information, and leverage analytic capabilities to interpret findings and inform approaches to care that will achieve better outcomes. As a key steward for quality, the nurse executive exercises leadership to provide the infrastructure to build and manage nursing knowledge and instill accountability for following evidence-based practices. These actions contribute to a learning health system where new knowledge is captured as a by-product of care delivery enabled by knowledge-based electronic systems. The learning health system also relies on rigorous scientific evidence embedded into practice at the point of care. The nurse executive optimizes use of knowledge-based technologies, integrated throughout the organization, that have the capacity to help transform health care.

The Integration of Research, Teaching, and Learning: Preparation of the Future STEM Faculty

NASA Astrophysics Data System (ADS)

Jariwala, Manher

Graduate students at research universities shape the future of STEM undergraduate education in the United States. These future faculty flow into the STEM faculties of several thousand research universities, comprehensive universities, liberal arts colleges, and community and tribal colleges. The Center for the Integration of Research, Teaching, and Learning (CIRTL) uses graduate education as the leverage point to develop STEM faculty with the capability and commitment to implement and improve effective teaching and learning practices. CIRTL has developed, implemented, and evaluated successful strategies based on three core ideas: teaching-as-research, learning communities, and learning-through-diversity. A decade of research demonstrates that STEM future faculty participating in CIRTL learning communities understand, use, and advance high-impact teaching practices. Today the CIRTL Network includes 43 research universities. Ultimately, CIRTL seeks a national STEM faculty who enable all students to learn effectively and achieve STEM literacy, whose teaching enhances recruitment into STEM careers, and whose leadership ensures continued advancement of STEM education.

A collaborative framework for Distributed Privacy-Preserving Support Vector Machine learning.

PubMed

Que, Jialan; Jiang, Xiaoqian; Ohno-Machado, Lucila

2012-01-01

A Support Vector Machine (SVM) is a popular tool for decision support. The traditional way to build an SVM model is to estimate parameters based on a centralized repository of data. However, in the field of biomedicine, patient data are sometimes stored in local repositories or institutions where they were collected, and may not be easily shared due to privacy concerns. This creates a substantial barrier for researchers to effectively learn from the distributed data using machine learning tools like SVMs. To overcome this difficulty and promote efficient information exchange without sharing sensitive raw data, we developed a Distributed Privacy Preserving Support Vector Machine (DPP-SVM). The DPP-SVM enables privacy-preserving collaborative learning, in which a trusted server integrates "privacy-insensitive" intermediary results. The globally learned model is guaranteed to be exactly the same as learned from combined data. We also provide a free web-service (http://privacy.ucsd.edu:8080/ppsvm/) for multiple participants to collaborate and complete the SVM-learning task in an efficient and privacy-preserving manner.

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…

PixelLearn

NASA Technical Reports Server (NTRS)

Mazzoni, Dominic; Wagstaff, Kiri; Bornstein, Benjamin; Tang, Nghia; Roden, Joseph

2006-01-01

PixelLearn is an integrated user-interface computer program for classifying pixels in scientific images. Heretofore, training a machine-learning algorithm to classify pixels in images has been tedious and difficult. PixelLearn provides a graphical user interface that makes it faster and more intuitive, leading to more interactive exploration of image data sets. PixelLearn also provides image-enhancement controls to make it easier to see subtle details in images. PixelLearn opens images or sets of images in a variety of common scientific file formats and enables the user to interact with several supervised or unsupervised machine-learning pixel-classifying algorithms while the user continues to browse through the images. The machinelearning algorithms in PixelLearn use advanced clustering and classification methods that enable accuracy much higher than is achievable by most other software previously available for this purpose. PixelLearn is written in portable C++ and runs natively on computers running Linux, Windows, or Mac OS X.

Feedback error learning control of magnetic satellites using type-2 fuzzy neural networks with elliptic membership functions.

PubMed

Khanesar, Mojtaba Ahmadieh; Kayacan, Erdal; Reyhanoglu, Mahmut; Kaynak, Okyay

2015-04-01

A novel type-2 fuzzy membership function (MF) in the form of an ellipse has recently been proposed in literature, the parameters of which that represent uncertainties are de-coupled from its parameters that determine the center and the support. This property has enabled the proposers to make an analytical comparison of the noise rejection capabilities of type-1 fuzzy logic systems with its type-2 counterparts. In this paper, a sliding mode control theory-based learning algorithm is proposed for an interval type-2 fuzzy logic system which benefits from elliptic type-2 fuzzy MFs. The learning is based on the feedback error learning method and not only the stability of the learning is proved but also the stability of the overall system is shown by adding an additional component to the control scheme to ensure robustness. In order to test the efficiency and efficacy of the proposed learning and the control algorithm, the trajectory tracking problem of a magnetic rigid spacecraft is studied. The simulations results show that the proposed control algorithm gives better performance results in terms of a smaller steady state error and a faster transient response as compared to conventional control algorithms.

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.

"I'm the New Girl": The Meanings Positions Hold for Students

ERIC Educational Resources Information Center

Lassonde, Cynthia A.

2005-01-01

This study offers ways to understand how a fifth-grade student and her teacher co-constructed academic and social positions within classroom writing practices and how these positions constrained and enabled literacy learning. Positioning is viewed as central rather than optional to learning. Classroom writing practices enabled the case-study…

Understanding Knowledge-Sharing Breakdowns: A Meeting of the Quantitative and Qualitative Minds

ERIC Educational Resources Information Center

Soller, Amy

2004-01-01

The rapid advance of distance learning and networking technology has enabled universities and corporations to reach out and educate students across time and space barriers. Although this technology enables structured collaborative learning activities, online groups often do not enjoy the same benefits as face-to-face learners, and their…

American Recovery and Reinvestment Act of 2009: Final Report on Customer Acceptance, Retention, and Response to Time-Based Rates from Consumer Behavior Studies

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

Cappers, Peter; Scheer, Rich

Time-based rate programs, enabled by utility investments in advanced metering infrastructure (AMI), are increasingly being considered by utilities as tools to reduce peak demand and enable customers to better manage consumption and costs. Under the Smart Grid Investment Grant Program (SGIG), the U.S. Department of Energy (DOE) partnered with several electric utilities to conduct consumer behavior studies (CBS). The goals involved applying randomized and controlled experimental designs for estimating customer responses more precisely and credibly to advance understanding of time-based rates and customer systems, and provide new information for improving program designs, implementation strategies, and evaluations. The intent was tomore » produce more robust and credible analysis of impacts, costs, benefits, and lessons learned and assist utility and regulatory decision makers in evaluating investment opportunities involving time-based rates.« less

A Service Oriented Architecture to Integrate Mobile Assessment in Learning Management Systems

ERIC Educational Resources Information Center

Riad, A. M.; El-Ghareeb, H. A.

2008-01-01

Mobile Learning (M-Learning) is an approach to E-Learning that utilizes mobile devices. Learning Management System (LMS) should enable M-Learning. Unfortunately, M-Learning is not the same at each educational institution. Assessment is one of the learning activities that can be achieved electronically and via mobile device. Mobile assessment…

A Flexible Mechanism of Rule Selection Enables Rapid Feature-Based Reinforcement Learning

PubMed Central

Balcarras, Matthew; Womelsdorf, Thilo

2016-01-01

Learning in a new environment is influenced by prior learning and experience. Correctly applying a rule that maps a context to stimuli, actions, and outcomes enables faster learning and better outcomes compared to relying on strategies for learning that are ignorant of task structure. However, it is often difficult to know when and how to apply learned rules in new contexts. In our study we explored how subjects employ different strategies for learning the relationship between stimulus features and positive outcomes in a probabilistic task context. We test the hypothesis that task naive subjects will show enhanced learning of feature specific reward associations by switching to the use of an abstract rule that associates stimuli by feature type and restricts selections to that dimension. To test this hypothesis we designed a decision making task where subjects receive probabilistic feedback following choices between pairs of stimuli. In the task, trials are grouped in two contexts by blocks, where in one type of block there is no unique relationship between a specific feature dimension (stimulus shape or color) and positive outcomes, and following an un-cued transition, alternating blocks have outcomes that are linked to either stimulus shape or color. Two-thirds of subjects (n = 22/32) exhibited behavior that was best fit by a hierarchical feature-rule model. Supporting the prediction of the model mechanism these subjects showed significantly enhanced performance in feature-reward blocks, and rapidly switched their choice strategy to using abstract feature rules when reward contingencies changed. Choice behavior of other subjects (n = 10/32) was fit by a range of alternative reinforcement learning models representing strategies that do not benefit from applying previously learned rules. In summary, these results show that untrained subjects are capable of flexibly shifting between behavioral rules by leveraging simple model-free reinforcement learning and context-specific selections to drive responses. PMID:27064794

An evaluation of the role of the clinical education facilitator.

PubMed

McCormack, Brendan; Slater, Paul

2006-02-01

The objective of the study was to identify whether clinical education facilitators made a difference to the learning experiences of nurses in a large teaching hospital. Strategies for enabling continuous professional development are well established in health care organizations as key components of approaches to lifelong learning. The benefits of continuous professional development include the maintenance of high standards of care, the improvement and development of services, ensuring the competency of all nursing staff and guaranteeing the accountability of nurses for their actions. The role of clinical education facilitator is relatively new and little evaluation of this role has been undertaken. This study highlights important issues to be considered in developing a 'learning culture' in a hospital organization, through the adoption of such roles as clinical education facilitators. Whilst the roles have had an important function in the active coordination of learning activities in the hospital, there is little evidence of the role directly impacting on the learning culture of clinical settings. Learning mechanisms have been identified. The results of this evaluation can be subjected to further testing through ongoing evaluation of the outcomes arising from the learning mechanisms in place. Given the emphasis on work-based learning and continuing professional development in health care, then this ongoing evaluation can yield important information about future directions for nurse education. The study highlights the importance of supported learning in the workplace. However, more importantly, it identifies the need for a culture of professional practice to be developed in order to sustain learning in practice. Classroom-based learning alone, cannot create a culture of development in nursing and there is thus a need for models of work-based learning to be integrated into practice environments.

Practice Makes Learning.

ERIC Educational Resources Information Center

Neill, Judy

This paper focuses on how people learn to help educators design curriculum that will enable students to successfully complete a distance learning class. Up-front organization, clear communication about performance expectations, outcome driven assessment, and imaginative learning strategies are critical to successful distance learning.…

Learning mechanisms in multidisciplinary teamwork with real customers and open-ended problems

NASA Astrophysics Data System (ADS)

Heikkinen, Juho; Isomöttönen, Ville

2015-11-01

Recently, there has been a trend towards adding a multidisciplinary or multicultural element to traditional monodisciplinary project courses in computing and engineering. In this article, we examine the implications of multidisciplinarity for students' learning experiences during a one-semester project course for real customers. We use a qualitative research approach and base our analysis on students' learning reports on three instances of a project course titled Multidisciplinary working life project. The main contribution of this article is the unified theoretical picture of the learning mechanisms stemming from multidisciplinarity. Our main conclusions are that (1) students generally have a positive view of multidisciplinarity; (2) multidisciplinary teams enable students to better identify their own expertise, which leads to increased occupational identity; and (3) learning experiences are not fixed, as team spirit and student attitude play an important role in how students react to challenging situations arising from introduction of the multidisciplinarity.

When Playing Meets Learning: Methodological Framework for Designing Educational Games

NASA Astrophysics Data System (ADS)

Linek, Stephanie B.; Schwarz, Daniel; Bopp, Matthias; Albert, Dietrich

Game-based learning builds upon the idea of using the motivational potential of video games in the educational context. Thus, the design of educational games has to address optimizing enjoyment as well as optimizing learning. Within the EC-project ELEKTRA a methodological framework for the conceptual design of educational games was developed. Thereby state-of-the-art psycho-pedagogical approaches were combined with insights of media-psychology as well as with best-practice game design. This science-based interdisciplinary approach was enriched by enclosed empirical research to answer open questions on educational game-design. Additionally, several evaluation-cycles were implemented to achieve further improvements. The psycho-pedagogical core of the methodology can be summarized by the ELEKTRA's 4Ms: Macroadaptivity, Microadaptivity, Metacognition, and Motivation. The conceptual framework is structured in eight phases which have several interconnections and feedback-cycles that enable a close interdisciplinary collaboration between game design, pedagogy, cognitive science and media psychology.

A Machine Learning Approach for Business Intelligence Analysis using Commercial Shipping Transaction Data

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

Bramer, Lisa M.; Chatterjee, Samrat; Holmes, Aimee E.

Business intelligence problems are particularly challenging due to the use of large volume and high velocity data in attempts to model and explain complex underlying phenomena. Incremental machine learning based approaches for summarizing trends and identifying anomalous behavior are often desirable in such conditions to assist domain experts in characterizing their data. The overall goal of this research is to develop a machine learning algorithm that enables predictive analysis on streaming data, detects changes and anomalies in the data, and can evolve based on the dynamic behavior of the data. Commercial shipping transaction data for the U.S. is used tomore » develop and test a Naïve Bayes model that classifies several companies into lines of businesses and demonstrates an ability to predict when the behavior of these companies changes by venturing into other lines of businesses.« less

Machine-Learning Based Co-adaptive Calibration: A Perspective to Fight BCI Illiteracy

NASA Astrophysics Data System (ADS)

Vidaurre, Carmen; Sannelli, Claudia; Müller, Klaus-Robert; Blankertz, Benjamin

"BCI illiteracy" is one of the biggest problems and challenges in BCI research. It means that BCI control cannot be achieved by a non-negligible number of subjects (estimated 20% to 25%). There are two main causes for BCI illiteracy in BCI users: either no SMR idle rhythm is observed over motor areas, or this idle rhythm is not attenuated during motor imagery, resulting in a classification performance lower than 70% (criterion level) already for offline calibration data. In a previous work of the same authors, the concept of machine learning based co-adaptive calibration was introduced. This new type of calibration provided substantially improved performance for a variety of users. Here, we use a similar approach and investigate to what extent co-adapting learning enables substantial BCI control for completely novice users and those who suffered from BCI illiteracy before.

Evaluation of the Persistent Issues in History Laboratory for Virtual Field Experience (PIH-LVFE)

ERIC Educational Resources Information Center

Brush, Thomas; Saye, John; Kale, Ugur; Hur, Jung Won; Kohlmeier, Jada; Yerasimou, Theano; Guo, Lijiang; Symonette, Simone

2009-01-01

The Persistent Issues in History Laboratory for Virtual Field Experience (PIH-LVFE) combines a database of video cases of authentic classroom practices with multiple resources and tools to enable pre-service social studies teachers to virtually observe teachers implementing problem-based learning activities. In this paper, we present the results…

Curriculum Analytics: Application of Social Network Analysis for Improving Strategic Curriculum Decision-Making in a Research-Intensive University

ERIC Educational Resources Information Center

Dawson, Shane; Hubball, Harry

2014-01-01

This paper provides insight into the use of curriculum analytics to enhance learning-centred curricula in diverse higher education contexts. Engagement in evidence-based practice to evaluate and monitor curricula is vital to the success and sustainability of efforts to reform undergraduate and graduate programs. Emerging technology-enabled inquiry…

Game-Based Curricula in Biology Classes: Differential Effects among Varying Academic Levels

ERIC Educational Resources Information Center

Sadler, Troy D.; Romine, William L.; Stuart, Parker E.; Merle-Johnson, Dominike

2013-01-01

Video games have become a popular medium in our society, and recent scholarship suggests that games can support substantial learning. This study stems from a project in which we created a video game enabling students to use biotechnology to solve a societal problem. As students engaged in the game, they necessarily interacted with the underlying…