Recommendations for the development of e-modules for the continuing professional development of European dentists.

PubMed

Kavadella, A; Kossioni, A E; Tsiklakis, K; Cowpe, J; Bullock, A; Barnes, E; Bailey, S; Thomas, H; Thomas, R; Karaharju-Suvanto, T; Suomalainen, K; Kersten, H; Povel, E; Giles, M; Walmsley, D; Soboleva, U; Liepa, A; Akota, I

2013-05-01

To provide evidence-based and peer-reviewed recommendations for the development of dental continuing professional development (CPD) learning e-modules. The present recommendations are consensus recommendations of the DentCPD project team and were informed by a literature research, consultations from e-learning and IT expert, discussions amongst the participants attending a special interest group during the 2012 ADEE meeting, and feedback from the evaluation procedures of the exemplar e-module (as described in a companion paper within this Supplement). The main focus of these recommendations is on the courses and modules organised and offered by dental schools. E-modules for dental CPD, as well as for other health professionals' continuing education, have been implemented and evaluated for a number of years. Research shows that the development of e-modules is a team process, undertaken by academics, subject experts, pedagogists, IT and web designers, learning technologists and librarians. The e-module must have clear learning objectives (outcomes), addressing the learners' individual needs, and must be visually attractive, relevant, interactive, promoting critical thinking and providing feedback. The text, graphics and animations must support the objectives and enable the learning process by creating an attractive, easy to navigate and interactive electronic environment. Technology is usually a concern for learners and tutors; therefore, it must be kept simple and interoperable within different systems and software. The pedagogical and technological proficiency of educators is of paramount importance, yet remains a challenge in many instances. The development of e-courses and modules for dental CPD is an endeavour undertaken by a group of professionals. It must be underpinned by sound pedagogical and e-learning principles and must incorporate elements for effective visual learning and visual design and a simple, consistent technology. © 2013 John Wiley & Sons A/S.

Digital case-based learning system in school.

PubMed

Gu, Peipei; Guo, Jiayang

2017-01-01

With the continuing growth of multi-media learning resources, it is important to offer methods helping learners to explore and acquire relevant learning information effectively. As services that organize multi-media learning materials together to support programming learning, the digital case-based learning system is needed. In order to create a case-oriented e-learning system, this paper concentrates on the digital case study of multi-media resources and learning processes with an integrated framework. An integration of multi-media resources, testing and learning strategies recommendation as the learning unit is proposed in the digital case-based learning framework. The learning mechanism of learning guidance, multi-media materials learning and testing feedback is supported in our project. An improved personalized genetic algorithm which incorporates preference information and usage degree into the crossover and mutation process is proposed to assemble the personalized test sheet for each learner. A learning strategies recommendation solution is proposed to recommend learning strategies for learners to help them to learn. The experiments are conducted to prove that the proposed approaches are capable of constructing personalized sheets and the effectiveness of the framework.

Digital case-based learning system in school

PubMed Central

Gu, Peipei

2017-01-01

With the continuing growth of multi-media learning resources, it is important to offer methods helping learners to explore and acquire relevant learning information effectively. As services that organize multi-media learning materials together to support programming learning, the digital case-based learning system is needed. In order to create a case-oriented e-learning system, this paper concentrates on the digital case study of multi-media resources and learning processes with an integrated framework. An integration of multi-media resources, testing and learning strategies recommendation as the learning unit is proposed in the digital case-based learning framework. The learning mechanism of learning guidance, multi-media materials learning and testing feedback is supported in our project. An improved personalized genetic algorithm which incorporates preference information and usage degree into the crossover and mutation process is proposed to assemble the personalized test sheet for each learner. A learning strategies recommendation solution is proposed to recommend learning strategies for learners to help them to learn. The experiments are conducted to prove that the proposed approaches are capable of constructing personalized sheets and the effectiveness of the framework. PMID:29107965

Semantic e-Learning: Next Generation of e-Learning?

NASA Astrophysics Data System (ADS)

Konstantinos, Markellos; Penelope, Markellou; Giannis, Koutsonikos; Aglaia, Liopa-Tsakalidi

Semantic e-learning aspires to be the next generation of e-learning, since the understanding of learning materials and knowledge semantics allows their advanced representation, manipulation, sharing, exchange and reuse and ultimately promote efficient online experiences for users. In this context, the paper firstly explores some fundamental Semantic Web technologies and then discusses current and potential applications of these technologies in e-learning domain, namely, Semantic portals, Semantic search, personalization, recommendation systems, social software and Web 2.0 tools. Finally, it highlights future research directions and open issues of the field.

A recommendation module to help teachers build courses through the Moodle Learning Management System

NASA Astrophysics Data System (ADS)

Limongelli, Carla; Lombardi, Matteo; Marani, Alessandro; Sciarrone, Filippo; Temperini, Marco

2016-01-01

In traditional e-learning, teachers design sets of Learning Objects (LOs) and organize their sequencing; the material implementing the LOs could be either built anew or adopted from elsewhere (e.g. from standard-compliant repositories) and reused. This task is applicable also when the teacher works in a system for personalized e-learning. In this case, the burden actually increases: for instance, the LOs may need adaptation to the system, through additional metadata. This paper presents a module that gives some support to the operations of retrieving, analyzing, and importing LOs from a set of standard Learning Objects Repositories, acting as a recommending system. In particular, it is designed to support the teacher in the phases of (i) retrieval of LOs, through a keyword-based search mechanism applied to the selected repositories; (ii) analysis of the returned LOs, whose information is enriched by a concept of relevance metric, based on both the results of the searching operation and the data related to the previous use of the LOs in the courses managed by the Learning Management System; and (iii) LO importation into the course under construction.

Experiences with establishing and implementing learning management system and computer-based test system in medical college.

PubMed

Park, Joo Hyun; Son, Ji Young; Kim, Sun

2012-09-01

The purpose of this study was to establish an e-learning system to support learning in medical education and identify solutions for improving the system. A learning management system (LMS) and computer-based test (CBT) system were established to support e-learning for medical students. A survey of 219 first- and second-grade medical students was administered. The questionnaire included 9 forced choice questions about the usability of system and 2 open-ended questions about necessary improvements to the system. The LMS consisted of a class management, class evaluation, and class attendance system. CBT consisted of a test management, item bank, and authoring tool system. The results of the survey showed a high level of satisfaction in all system usability items except for stability. Further, the advantages of the e-learning system were ensuring information accessibility, providing constant feedback, and designing an intuitive interface. Necessary improvements to the system were stability, user control, readability, and diverse device usage. Based on the findings, suggestions for developing an e-learning system to improve usability by medical students and support learning effectively are recommended.

Effectiveness of e-learning in hospitals.

PubMed

Chuo, Yinghsiang; Liu, Chuangchun; Tsai, Chunghung

2015-01-01

Because medical personnel share different work shifts (i.e., three work shifts) and do not have a fixed work schedule, implementing timely, flexible, and quick e-learning methods for their continued education is imperative. Hospitals are currently focusing on developing e-learning. This study aims to explore the key factors that influence the effectiveness of e-learning in medical personnel. This study recruited medical personnel as the study participants and collected sample data by using the questionnaire survey method. This study is based on the information systems success model (IS success model), a significant model in MIS research. This study found that the factors (i.e., information quality, service quality, convenience, and learning climate) influence the e-learning satisfaction and in turn influence effectiveness in medical personnel. This study provided recommendations to medical institutions according to the derived findings, which can be used as a reference when establishing e-learning systems in the future.

Personalized e-Learning Environments: Considering Students' Contexts

NASA Astrophysics Data System (ADS)

Eyharabide, Victoria; Gasparini, Isabela; Schiaffino, Silvia; Pimenta, Marcelo; Amandi, Analía

Personalization in e-learning systems is vital since they are used by a wide variety of students with different characteristics. There are several approaches that aim at personalizing e-learning environments. However, they focus mainly on technological and/or networking aspects without caring of contextual aspects. They consider only a limited version of context while providing personalization. In our work, the objective is to improve e-learning environment personalization making use of a better understanding and modeling of the user’s educational and technological context using ontologies. We show an example of the use of our proposal in the AdaptWeb system, in which content and navigation recommendations are provided depending on the student’s context.

Emotion Chat: A Web Chatroom with Emotion Regulation for E-Learners

NASA Astrophysics Data System (ADS)

Zheng, Deli; Tian, Feng; Liu, Jun; Zheng, Qinghua; Qin, Jiwei

In order to compensate for lack of emotion communication between teachers and students in e-learning systems, we have designed and implemented the EmotionChat -- a web chatroom with emotion regulation. EmotionChat perceives e-learners' emotional states based on interactive text. And it recommends resources such as music, cartoons, and mottos to an e-learner when it detects negative emotional states. Meanwhile, it recommends emotion regulation cases to the e-learner's listeners and teachers. The result of our initial experiment shows that EmotionChat can recommend valuable emotion regulation policies for e-learners.

A Flexible Electronic Commerce Recommendation System

NASA Astrophysics Data System (ADS)

Gong, Songjie

Recommendation systems have become very popular in E-commerce websites. Many of the largest commerce websites are already using recommender technologies to help their customers find products to purchase. An electronic commerce recommendation system learns from a customer and recommends products that the customer will find most valuable from among the available products. But most recommendation methods are hard-wired into the system and they support only fixed recommendations. This paper presented a framework of flexible electronic commerce recommendation system. The framework is composed by user model interface, recommendation engine, recommendation strategy model, recommendation technology group, user interest model and database interface. In the recommender strategy model, the method can be collaborative filtering, content-based filtering, mining associate rules method, knowledge-based filtering method or the mixed method. The system mapped the implementation and demand through strategy model, and the whole system would be design as standard parts to adapt to the change of the recommendation strategy.

Recommender System and Web 2.0 Tools to Enhance a Blended Learning Model

ERIC Educational Resources Information Center

Hoic-Bozic, Natasa; Dlab, Martina Holenko; Mornar, Vedran

2016-01-01

Blended learning models that combine face-to-face and online learning are of great importance in modern higher education. However, their development should be in line with the recent changes in e-learning that emphasize a student-centered approach and use tools available on the Web to support the learning process. This paper presents research on…

An e-Learning Collaborative Filtering Approach to Suggest Problems to Solve in Programming Online Judges

ERIC Educational Resources Information Center

Toledo, Raciel Yera; Mota, Yailé Caballero

2014-01-01

The paper proposes a recommender system approach to cover online judge's domains. Online judges are e-learning tools that support the automatic evaluation of programming tasks done by individual users, and for this reason they are usually used for training students in programming contest and for supporting basic programming teachings. The…

Extending E-Book with Contextual Knowledge Recommender for Reading Support on a Web-Based Learning System

ERIC Educational Resources Information Center

Chen, Gwo-Dong; Wei, Fu-Hsiang; Wang, Chin-Yeh; Lee, Jih-Hsien

2007-01-01

Reading content of the Web is increasingly popular. When students read the same material, each student has a unique comprehension of the text and requires individual support from appropriate references. Most references in typical web learning systems are unorganized. Students are often required to disrupt their reading to locate references. This…

A Machine Learning Recommender System to Tailor Preference Assessments to Enhance Person-Centered Care Among Nursing Home Residents.

PubMed

Gannod, Gerald C; Abbott, Katherine M; Van Haitsma, Kimberly; Martindale, Nathan; Heppner, Alexandra

2018-05-21

Nursing homes (NHs) using the Preferences for Everyday Living Inventory (PELI-NH) to assess important preferences and provide person-centered care find the number of items (72) to be a barrier to using the assessment. Using a sample of n = 255 NH resident responses to the PELI-NH, we used the 16 preference items from the MDS 3.0 Section F to develop a machine learning recommender system to identify additional PELI-NH items that may be important to specific residents. Much like the Netflix recommender system, our system is based on the concept of collaborative filtering whereby insights and predictions (e.g., filters) are created using the interests and preferences of many users. The algorithm identifies multiple sets of "you might also like" patterns called association rules, based upon responses to the 16 MDS preferences that recommends an additional set of preferences with a high likelihood of being important to a specific resident. In the evaluation of the combined apriori and logistic regression approach, we obtained a high recall performance (i.e., the ratio of correctly predicted preferences compared with all predicted preferences and nonpreferences) and high precision (i.e., the ratio of correctly predicted rules with respect to the rules predicted to be true) of 80.2% and 79.2%, respectively. The recommender system successfully provides guidance on how to best tailor the preference items asked of residents and can support preference capture in busy clinical environments, contributing to the feasibility of delivering person-centered care.

A Semi-Automatic Approach to Construct Vietnamese Ontology from Online Text

ERIC Educational Resources Information Center

Nguyen, Bao-An; Yang, Don-Lin

2012-01-01

An ontology is an effective formal representation of knowledge used commonly in artificial intelligence, semantic web, software engineering, and information retrieval. In open and distance learning, ontologies are used as knowledge bases for e-learning supplements, educational recommenders, and question answering systems that support students with…

Semantic Web-Driven LMS Architecture towards a Holistic Learning Process Model Focused on Personalization

ERIC Educational Resources Information Center

Kerkiri, Tania

2010-01-01

A comprehensive presentation is here made on the modular architecture of an e-learning platform with a distinctive emphasis on content personalization, combining advantages from semantic web technology, collaborative filtering and recommendation systems. Modules of this architecture handle information about both the domain-specific didactic…

Recommendations for Promoting E-learning in Higher Education Institutions: A Case Study of Iran

ERIC Educational Resources Information Center

Hanafizadeh, Payam; Khodabakhshi, Mohsen; Hanafizadeh, Mohammad Reza

2011-01-01

This paper intends to offer recommendations for promoting e-learning in higher education institutions in developing countries in general, and in Iran in particular. For this, 279 recommendations were extracted through the investigation of 11 countries and 5 regions. Using content analysis, 23 recommendations were selected and then categorized into…

Evaluating Recommender Systems for Technology Enhanced Learning: A Quantitative Survey

ERIC Educational Resources Information Center

Erdt, Mojisola; Fernandez, Alejandro; Rensing, Christoph

2015-01-01

The increasing number of publications on recommender systems for Technology Enhanced Learning (TEL) evidence a growing interest in their development and deployment. In order to support learning, recommender systems for TEL need to consider specific requirements, which differ from the requirements for recommender systems in other domains like…

Recommendation System for Adaptive Learning.

PubMed

Chen, Yunxiao; Li, Xiaoou; Liu, Jingchen; Ying, Zhiliang

2018-01-01

An adaptive learning system aims at providing instruction tailored to the current status of a learner, differing from the traditional classroom experience. The latest advances in technology make adaptive learning possible, which has the potential to provide students with high-quality learning benefit at a low cost. A key component of an adaptive learning system is a recommendation system, which recommends the next material (video lectures, practices, and so on, on different skills) to the learner, based on the psychometric assessment results and possibly other individual characteristics. An important question then follows: How should recommendations be made? To answer this question, a mathematical framework is proposed that characterizes the recommendation process as a Markov decision problem, for which decisions are made based on the current knowledge of the learner and that of the learning materials. In particular, two plain vanilla systems are introduced, for which the optimal recommendation at each stage can be obtained analytically.

Creating E-Commerce Start-Ups with Information Systems Students: Lessons Learned from New Venture Successes and Failures

ERIC Educational Resources Information Center

Abrahams, Alan

2010-01-01

In this paper, we review a variety of e-commerce startups created by senior information systems students, under the author's guidance, over a number of years at multiple universities. We compare the characteristics of the start-ups and comment on various factors which appear to have contributed to their success or failure. Our recommendations are…

Applying Web Usage Mining for Personalizing Hyperlinks in Web-Based Adaptive Educational Systems

ERIC Educational Resources Information Center

Romero, Cristobal; Ventura, Sebastian; Zafra, Amelia; de Bra, Paul

2009-01-01

Nowadays, the application of Web mining techniques in e-learning and Web-based adaptive educational systems is increasing exponentially. In this paper, we propose an advanced architecture for a personalization system to facilitate Web mining. A specific Web mining tool is developed and a recommender engine is integrated into the AHA! system in…

eLearning Hands-On: Blending Interactive eLearning with Practical Engineering Laboratory

ERIC Educational Resources Information Center

Kiravu, Cheddi; Yanev, Kamen M.; Tunde, Moses O.; Jeffrey, Anna M.; Schoenian, Dirk; Renner, Ansel

2016-01-01

Purpose: Integrating laboratory work into interactive engineering eLearning contents augments theory with practice while simultaneously ameliorating the apparent theory-practice gap in traditional eLearning. The purpose of this paper is to assess and recommend media that currently fulfil this desirable dual pedagogical goal.…

Evaluation of an Educational Computer Programme as a Change Agent in Science Classrooms

NASA Astrophysics Data System (ADS)

Muwanga-Zake, Johnnie Wycliffe Frank

2007-12-01

I report on benefits from 26 teacher-participant evaluators of a computer game designed to motivate learning and to ease conceptual understanding of biology in South Africa. Using a developmental, social constructivist and interpretative model, the recommendation is to include the value systems and needs of end-users (through social dialogue); curriculum issues (learning theories in the ECP and those the education authorities recommend, as well as ECP-curriculum integration); the nature of the subject the ECP presents (e.g., Nature of Science); and the compatibility of the ECP with school computers.

User-Adapted Recommendation of Content on Mobile Devices Using Bayesian Networks

NASA Astrophysics Data System (ADS)

Iwasaki, Hirotoshi; Mizuno, Nobuhiro; Hara, Kousuke; Motomura, Yoichi

Mobile devices, such as cellular phones and car navigation systems, are essential to daily life. People acquire necessary information and preferred content over communication networks anywhere, anytime. However, usability issues arise from the simplicity of user interfaces themselves. Thus, a recommendation of content that is adapted to a user's preference and situation will help the user select content. In this paper, we describe a method to realize such a system using Bayesian networks. This user-adapted mobile system is based on a user model that provides recommendation of content (i.e., restaurants, shops, and music that are suitable to the user and situation) and that learns incrementally based on accumulated usage history data. However, sufficient samples are not always guaranteed, since a user model would require combined dependency among users, situations, and contents. Therefore, we propose the LK method for modeling, which complements incomplete and insufficient samples using knowledge data, and CPT incremental learning for adaptation based on a small number of samples. In order to evaluate the methods proposed, we applied them to restaurant recommendations made on car navigation systems. The evaluation results confirmed that our model based on the LK method can be expected to provide better generalization performance than that of the conventional method. Furthermore, our system would require much less operation than current car navigation systems from the beginning of use. Our evaluation results also indicate that learning a user's individual preference through CPT incremental learning would be beneficial to many users, even with only a few samples. As a result, we have developed the technology of a system that becomes more adapted to a user the more it is used.

Context-Aware Recommender Systems for Learning: A Survey and Future Challenges

ERIC Educational Resources Information Center

Verbert, K.; Manouselis, N.; Ochoa, X.; Wolpers, M.; Drachsler, H.; Bosnic, I.; Duval, E.

2012-01-01

Recommender systems have been researched extensively by the Technology Enhanced Learning (TEL) community during the last decade. By identifying suitable resources from a potentially overwhelming variety of choices, such systems offer a promising approach to facilitate both learning and teaching tasks. As learning is taking place in extremely…

Organisational aspects and benchmarking of e-learning initiatives: a case study with South African community health workers.

PubMed

Reisach, Ulrike; Weilemann, Mitja

2016-06-01

South Africa desperately needs a comprehensive approach to fight HIV/AIDS. Education is crucial to reach this goal and Internet and e-learning could offer huge opportunities to broaden and deepen the knowledge basis. But due to the huge societal and digital divide between rich and poor areas, e-learning is difficult to realize in the townships. Community health workers often act as mediators and coaches for people seeking medical and personal help. They could give good advice regarding hygiene, nutrition, protection of family members in case of HIV/AIDS and finding legal ways to earn one's living if they were trained to do so. Therefore they need to have a broader general knowledge. Since learning opportunities in the townships are scarce, a system for e-learning has to be created in order to overcome the lack of experience with computers or the Internet and to enable them to implement a network of expertise. The article describes how the best international resources on basic medical knowledge, HIV/AIDS as well as on basic economic and entrepreneurial skills were benchmarked to be integrated into an e-learning system. After tests with community health workers, researchers developed recommendations on building a self-sustaining system for learning, including a network of expertise and best practice sharing. The article explains the opportunities and challenges for community health workers, which could provide information for other parts of the world with similar preconditions of rural poverty. © The Author(s) 2015.

Introducing eHealth strategies to enhance maternal and perinatal health care in rural Tanzania.

PubMed

Nyamtema, Angelo; Mwakatundu, Nguke; Dominico, Sunday; Kasanga, Mkambu; Jamadini, Fadhili; Maokola, Kelvin; Mawala, Donald; Abel, Zabron; Rumanyika, Richard; Nzabuhakwa, Calist; van Roosmalen, Jos

2017-01-01

Globally, eHealth has attracted considerable attention as a means of supporting maternal and perinatal health care. This article describes best practices, gains and challenges of implementing eHealth for maternal and perinatal health care in extremely remote and rural Tanzania. Teleconsultation for obstetric emergency care, audio teleconferences and online eLearning systems were installed in ten upgraded rural health centres, four rural district hospitals and one regional hospital in Tanzania. Uptake of teleconsultation and teleconference platforms were evaluated retrospectively. A cross sectional descriptive study design was applied to assess performance and adoption of eLearning. In 2015 a total of 38 teleconsultations were attended by consultant obstetricians and 33 teleconferences were conducted and attended by 40 health care providers from 14 facilities. A total of 240 clinical cases mainly caesarean sections (CS), maternal and perinatal morbidities and mortalities were discussed and recommendations for improvement were provided. Four modules were hosted and 43 care providers were registered on the eLearning system. For a period of 18-21 months total views on the site, weekly conference forum, chatroom and learning resources ranged between 106 and 1,438. Completion of learning modules, acknowledgment of having acquired and utilized new knowledge and skills in clinical practice were reported in 43-89% of 20 interviewed health care providers. Competencies in using the eLearning system were demonstrated in 62% of the targeted users. E-Health presents an opportunity for improving maternal health care in underserved remote areas in low-resource settings by broadening knowledge and skills, and by connecting frontline care providers with consultants for emergency teleconsultations.

Recommending Peers for Learning: Matching on Dissimilarity in Interpretations to Provoke Breakdown

ERIC Educational Resources Information Center

Rajagopal, Kamakshi; van Bruggen, Jan M.; Sloep, Peter B.

2017-01-01

People recommenders are a widespread feature of social networking sites and educational social learning platforms alike. However, when these systems are used to extend learners' Personal Learning Networks, they often fall short of providing recommendations of learning value to their users. This paper proposes a design of a people recommender based…

Automatic Recommendations for E-Learning Personalization Based on Web Usage Mining Techniques and Information Retrieval

ERIC Educational Resources Information Center

Khribi, Mohamed Koutheair; Jemni, Mohamed; Nasraoui, Olfa

2009-01-01

In this paper, we describe an automatic personalization approach aiming to provide online automatic recommendations for active learners without requiring their explicit feedback. Recommended learning resources are computed based on the current learner's recent navigation history, as well as exploiting similarities and dissimilarities among…

Challenges of Implementing E-Learning in Kenya: A Case of Kenyan Public Universities

ERIC Educational Resources Information Center

Tarus, John K.; Gichoya, David; Muumbo, Alex

2015-01-01

In this paper, we discuss the challenges experienced by Kenyan public universities in implementation of e-learning and recommend possible solutions towards its successful implementation. In the last few years, most Kenyan public universities have adopted e-learning as a new approach to teaching and learning. However, the implementation challenges…

ePortfolio-Based Learning Environments: Recommendations for Effective Scaffolding of Reflective Thinking in Higher Education

ERIC Educational Resources Information Center

Roberts, Pauline; Maor, Dorit; Herrington, Jan

2016-01-01

In addition to providing a useful repository for learning products, ePortfolios provide enhanced opportunities for the development of advanced learning skills. It can be argued, however, that ePortfolios are not being implemented effectively towards fulfilling this important function. This paper presents an investigation of an ePortfolio…

Machine learning algorithms for the creation of clinical healthcare enterprise systems

NASA Astrophysics Data System (ADS)

Mandal, Indrajit

2017-10-01

Clinical recommender systems are increasingly becoming popular for improving modern healthcare systems. Enterprise systems are persuasively used for creating effective nurse care plans to provide nurse training, clinical recommendations and clinical quality control. A novel design of a reliable clinical recommender system based on multiple classifier system (MCS) is implemented. A hybrid machine learning (ML) ensemble based on random subspace method and random forest is presented. The performance accuracy and robustness of proposed enterprise architecture are quantitatively estimated to be above 99% and 97%, respectively (above 95% confidence interval). The study then extends to experimental analysis of the clinical recommender system with respect to the noisy data environment. The ranking of items in nurse care plan is demonstrated using machine learning algorithms (MLAs) to overcome the drawback of the traditional association rule method. The promising experimental results are compared against the sate-of-the-art approaches to highlight the advancement in recommendation technology. The proposed recommender system is experimentally validated using five benchmark clinical data to reinforce the research findings.

A Conceptual Framework for Evolving, Recommender Online Learning Systems

ERIC Educational Resources Information Center

Peiris, K. Dharini Amitha; Gallupe, R. Brent

2012-01-01

A comprehensive conceptual framework is developed and described for evolving recommender-driven online learning systems (ROLS). This framework describes how such systems can support students, course authors, course instructors, systems administrators, and policy makers in developing and using these ROLS. The design science information systems…

ICT Competence-Based Learning Object Recommendations for Teachers

ERIC Educational Resources Information Center

Sergis, Stylianos; Zervas, Panagiotis; Sampson, Demetrios G.

2014-01-01

Recommender Systems (RS) have been applied in the Technology enhanced Learning (TeL) field for facilitating, among others, Learning Object (LO) selection and retrieval. Most of the existing approaches, however, aim at accommodating the needs of learners and teacher-oriented RS are still an under-investigated field. Moreover, the systems that focus…

Evaluation of Keyphrase Extraction Algorithm and Tiling Process for a Document/Resource Recommender within E-Learning Environments

ERIC Educational Resources Information Center

Mangina, Eleni; Kilbride, John

2008-01-01

The research presented in this paper is an examination of the applicability of IUI techniques in an online e-learning environment. In particular we make use of user modeling techniques, information retrieval and extraction mechanisms and collaborative filtering methods. The domains of e-learning, web-based training and instruction and intelligent…

Is there a need for a specific educational scholarship for using e-learning in medical education?

PubMed

Sandars, John; Goh, Poh Sun

2016-10-01

We propose the need for a specific educational scholarship when using e-learning in medical education. Effective e-learning has additional factors that require specific critical attention, including the design and delivery of e-learning. An important aspect is the recognition that e-learning is a complex intervention, with several interconnecting components that have to be aligned. This alignment requires an essential iterative development process with usability testing. Effectiveness of e-learning in one context may not be fully realized in another context unless there is further consideration of applicability and scalability. We recommend a participatory approach for an educational scholarship for using e-learning in medical education, such as by action research or design-based research.

Learning Management System with Prediction Model and Course-Content Recommendation Module

ERIC Educational Resources Information Center

Evale, Digna S.

2017-01-01

Aim/Purpose: This study is an attempt to enhance the existing learning management systems today through the integration of technology, particularly with educational data mining and recommendation systems. Background: It utilized five-year historical data to find patterns for predicting student performance in Java Programming to generate…

Seeing the System through the End Users' Eyes: Shadow Expert Technique for Evaluating the Consistency of a Learning Management System

NASA Astrophysics Data System (ADS)

Holzinger, Andreas; Stickel, Christian; Fassold, Markus; Ebner, Martin

Interface consistency is an important basic concept in web design and has an effect on performance and satisfaction of end users. Consistency also has significant effects on the learning performance of both expert and novice end users. Consequently, the evaluation of consistency within a e-learning system and the ensuing eradication of irritating discrepancies in the user interface redesign is a big issue. In this paper, we report of our experiences with the Shadow Expert Technique (SET) during the evaluation of the consistency of the user interface of a large university learning management system. The main objective of this new usability evaluation method is to understand the interaction processes of end users with a specific system interface. Two teams of usability experts worked independently from each other in order to maximize the objectivity of the results. The outcome of this SET method is a list of recommended changes to improve the user interaction processes, hence to facilitate high consistency.

Gender Differences in E-Learning Satisfaction

ERIC Educational Resources Information Center

Gonzalez-Gomez, Francisco; Guardiola, Jorge; Rodriguez, Oscar Martin; Alonso, Miguel Angel Montero

2012-01-01

Student learning skills differ depending on gender. The importance of studying this situation in the classroom is that recommendations can be made taking gender into consideration. In e-learning, the roles of students and teachers change. In line with recent research, the question this paper raises is whether or not gender differences also exist…

Accommodation Decision Making for Postsecondary Students With Learning Disabilities: Individually Tailored or One Size Fits All?

PubMed

Weis, Robert; Dean, Emily L; Osborne, Karen J

2016-09-01

Clinicians uniformly recommend accommodations for college students with learning disabilities; however, we know very little about which accommodations they select and the validity of their recommendations. We examined the assessment documentation of a large sample of community college students receiving academic accommodations for learning disabilities to determine (a) which accommodations their clinicians recommended and (b) whether clinicians' recommendations were supported by objective data gathered during the assessment process. In addition to test and instructional accommodations, many clinicians recommended that students with learning disabilities should have different educational expectations, standards, and methods of evaluation (i.e., grading) than their nondisabled classmates. Many of their recommendations for accommodations were not supported by objective evidence from students' history, diagnosis, test data, and current functioning. Furthermore, clinicians often recommended accommodations that were not specific to the student's diagnosis or area of disability. Our findings highlight the need for individually selected accommodations matched to students' needs and academic contexts. © Hammill Institute on Disabilities 2014.

A Personalized Recommendation-Based Mobile Learning Approach to Improving the Reading Performance of EFL Students

ERIC Educational Resources Information Center

Hsu, Ching-Kun; Hwang, Gwo-Jen; Chang, Chih-Kai

2013-01-01

In this paper, a personalized recommendation-based mobile language learning approach is proposed. A mobile learning system has been developed based on the approach by providing a reading material recommendation mechanism for guiding EFL (English as Foreign Language) students to read articles that match their preferences and knowledge levels, and a…

Institutionalizing Blended Learning into Joint Training: A Case Study and Ten Recommendations

DTIC Science & Technology

2014-12-01

mail.mil pbockelman@mesh.dsci.com ABSTRACT In 2011, the Joint Staff J7 (Joint Training) directorate initiated the Continuum of eLearning project in...Orlando, FL. 14. ABSTRACT In 2011, the Joint Staff J7 (Joint Training) directorate initiated the Continuum of eLearning project in order to integrate...dispersed organizations still poses significant challenges. The Joint Staff J7, Deputy Director for Joint Training initiated the Continuum of eLearning

Expanding Learning and Social Interaction through Intelligent Systems Design: Implementing a Reputation and Recommender System for the Claremont Conversation Online

ERIC Educational Resources Information Center

Thoms, Brian

2009-01-01

In this dissertation I examine the design, construction and implementation of an online blog ratings and user recommender system for the Claremont Conversation Online (CCO). In line with constructivist learning models and practical information systems (IS) design, I implemented a blog ratings system (a system that can be extended to allow for…

Compositional descriptor-based recommender system for the materials discovery

NASA Astrophysics Data System (ADS)

Seko, Atsuto; Hayashi, Hiroyuki; Tanaka, Isao

2018-06-01

Structures and properties of many inorganic compounds have been collected historically. However, it only covers a very small portion of possible inorganic crystals, which implies the presence of numerous currently unknown compounds. A powerful machine-learning strategy is mandatory to discover new inorganic compounds from all chemical combinations. Herein we propose a descriptor-based recommender-system approach to estimate the relevance of chemical compositions where crystals can be formed [i.e., chemically relevant compositions (CRCs)]. In addition to data-driven compositional similarity used in the literature, the use of compositional descriptors as a prior knowledge is helpful for the discovery of new compounds. We validate our recommender systems in two ways. First, one database is used to construct a model, while another is used for the validation. Second, we estimate the phase stability for compounds at expected CRCs using density functional theory calculations.

Accessibility of e-Learning and Computer and Information Technologies for Students with Visual Impairments in Postsecondary Education

ERIC Educational Resources Information Center

Fichten, Catherine S.; Asuncion, Jennison V.; Barile, Maria; Ferraro, Vittoria; Wolforth, Joan

2009-01-01

This article presents the results of two studies on the accessibility of e-learning materials and other information and computer and communication technologies for 143 Canadian college and university students with low vision and 29 who were blind. It offers recommendations for enhancing access, creating new learning opportunities, and eliminating…

Online faculty development for creating E-learning materials.

PubMed

Niebuhr, Virginia; Niebuhr, Bruce; Trumble, Julie; Urbani, Mary Jo

2014-01-01

Faculty who want to develop e-learning materials face pedagogical challenges of transforming instruction for the online environment, especially as many have never experienced online learning themselves. They face technical challenges of learning new software and time challenges of not all being able to be in the same place at the same time to learn these new skills. The objective of the Any Day Any Place Teaching (ADAPT) faculty development program was to create an online experience in which faculty could learn to produce e-learning materials. The ADAPT curriculum included units on instructional design, copyright principles and peer review, all for the online environment, and units on specific software tools. Participants experienced asynchronous and synchronous methods, including a learning management system, PC-based videoconferencing, online discussions, desktop sharing, an online toolbox and optional face-to-face labs. Project outcomes were e-learning materials developed and participants' evaluations of the experience. Likert scale responses for five instructional units (quantitative) were analyzed for distance from neutral using one-sample t-tests. Interview data (qualitative) were analyzed with assurance of data trustworthiness and thematic analysis techniques. Participants were 27 interprofessional faculty. They evaluated the program instruction as easy to access, engaging and logically presented. They reported increased confidence in new skills and increased awareness of copyright issues, yet continued to have time management challenges and remained uncomfortable about peer review. They produced 22 new instructional materials. Online faculty development methods are helpful for faculty learning to create e-learning materials. Recommendations are made to increase the success of such a faculty development program.

A Novel Approach for Enhancing Lifelong Learning Systems by Using Hybrid Recommender System

ERIC Educational Resources Information Center

Kardan, Ahmad A.; Speily, Omid R. B.; Modaberi, Somayyeh

2011-01-01

The majority of current web-based learning systems are closed learning environments where courses and learning materials are fixed, and the only dynamic aspect is the organization of the material that can be adapted to allow a relatively individualized learning environment. In this paper, we propose an evolving web-based learning system which can…

A comparative study: classification vs. user-based collaborative filtering for clinical prediction.

PubMed

Hao, Fang; Blair, Rachael Hageman

2016-12-08

Recommender systems have shown tremendous value for the prediction of personalized item recommendations for individuals in a variety of settings (e.g., marketing, e-commerce, etc.). User-based collaborative filtering is a popular recommender system, which leverages an individuals' prior satisfaction with items, as well as the satisfaction of individuals that are "similar". Recently, there have been applications of collaborative filtering based recommender systems for clinical risk prediction. In these applications, individuals represent patients, and items represent clinical data, which includes an outcome. Application of recommender systems to a problem of this type requires the recasting a supervised learning problem as unsupervised. The rationale is that patients with similar clinical features carry a similar disease risk. As the "Big Data" era progresses, it is likely that approaches of this type will be reached for as biomedical data continues to grow in both size and complexity (e.g., electronic health records). In the present study, we set out to understand and assess the performance of recommender systems in a controlled yet realistic setting. User-based collaborative filtering recommender systems are compared to logistic regression and random forests with different types of imputation and varying amounts of missingness on four different publicly available medical data sets: National Health and Nutrition Examination Survey (NHANES, 2011-2012 on Obesity), Study to Understand Prognoses Preferences Outcomes and Risks of Treatment (SUPPORT), chronic kidney disease, and dermatology data. We also examined performance using simulated data with observations that are Missing At Random (MAR) or Missing Completely At Random (MCAR) under various degrees of missingness and levels of class imbalance in the response variable. Our results demonstrate that user-based collaborative filtering is consistently inferior to logistic regression and random forests with different imputations on real and simulated data. The results warrant caution for the collaborative filtering for the purpose of clinical risk prediction when traditional classification is feasible and practical. CF may not be desirable in datasets where classification is an acceptable alternative. We describe some natural applications related to "Big Data" where CF would be preferred and conclude with some insights as to why caution may be warranted in this context.

Learning material recommendation based on case-based reasoning similarity scores

NASA Astrophysics Data System (ADS)

Masood, Mona; Mokmin, Nur Azlina Mohamed

2017-10-01

A personalized learning material recommendation is important in any Intelligent Tutoring System (ITS). Case-based Reasoning (CBR) is an Artificial Intelligent Algorithm that has been widely used in the development of ITS applications. This study has developed an ITS application that applied the CBR algorithm in the development process. The application has the ability to recommend the most suitable learning material to the specific student based on information in the student profile. In order to test the ability of the application in recommending learning material, two versions of the application were created. The first version displayed the most suitable learning material and the second version displayed the least preferable learning material. The results show the application has successfully assigned the students to the most suitable learning material.

Implementation and evaluation of LMS mobile application: scele mobile based on user-centered design

NASA Astrophysics Data System (ADS)

Banimahendra, R. D.; Santoso, H. B.

2018-03-01

The development of mobile technology is now increasing rapidly, demanding all activities including learning should be done on mobile devices. It shows that the implementation of mobile application as a learning medium needs to be done. This study describes the process of developing and evaluating the Moodle-based mobile Learning Management System (LMS) application called Student Centered e-Learning Environment (SCeLE). This study discusses the process of defining features, implementing features into the application, and evaluating the application. We define the features using user research and literature study, then we implement the application with user-centered design basis, at the last phase we evaluated the application using usability testing and system usability score (SUS). The purpose of this study is to determine the extent to which this application can help the users doing their tasks and provide recommendation for the next research and development.

[E-learning in orthopedics and traumatology. A comparative pilot study on acceptance and knowledge acquisition among users and non-users].

PubMed

Hoff, E; Haberstroh, N; Sostmann, K; Perka, C; Putzier, M; Schmidmaier, G; Back, D A

2014-07-01

Additional internet-based learning tools (e-learning) are successfully used in the curricula of many disciplines and are highly accepted among students. However, in orthopedics and traumatology e-learning is underrepresented and scientific papers are rare. The aim of the present pilot study was to evaluate the acceptance of the e-learning module network for students in traumatology and orthopedics (NESTOR) among users and non-users and to analyze the effect of this additional learning tool on knowledge acquisition. A total of 544 students were asked to complete evaluation questionnaires at the end of two semesters using different ones for NESTOR users and non-users. The gain of knowledge was analyzed by two written knowledge tests (pre-post test, 20 multiple choice questions) at the beginning and end of the semester comparing these two groups. A total of 191 students took part in the evaluation and 152 completed both written tests. The NESTOR users showed a high acceptance of the e-learning system and non-users considered e-learning beneficial as well. Reasons given for not using NESTOR were lack of time, lack of information about the existence of NESTOR and a lack of interest in this discipline and e-learning in general. Both groups significantly increased their level of knowledge during the course of the semester (p < 0.01), whereas users scored significantly higher in the post-test (p < 0.05). The presented data support the high acceptance among users and the benefit of the e-learning project NESTOR in teaching students in orthopedics and traumatology. Based on experience and these results the permanent implementation of an additional e-learning module in the curriculum can be recommended for other faculties. In this process the critical comments of the non-users determined in the present study should be addressed.

Representation learning via Dual-Autoencoder for recommendation.

PubMed

Zhuang, Fuzhen; Zhang, Zhiqiang; Qian, Mingda; Shi, Chuan; Xie, Xing; He, Qing

2017-06-01

Recommendation has provoked vast amount of attention and research in recent decades. Most previous works employ matrix factorization techniques to learn the latent factors of users and items. And many subsequent works consider external information, e.g., social relationships of users and items' attributions, to improve the recommendation performance under the matrix factorization framework. However, matrix factorization methods may not make full use of the limited information from rating or check-in matrices, and achieve unsatisfying results. Recently, deep learning has proven able to learn good representation in natural language processing, image classification, and so on. Along this line, we propose a new representation learning framework called Recommendation via Dual-Autoencoder (ReDa). In this framework, we simultaneously learn the new hidden representations of users and items using autoencoders, and minimize the deviations of training data by the learnt representations of users and items. Based on this framework, we develop a gradient descent method to learn hidden representations. Extensive experiments conducted on several real-world data sets demonstrate the effectiveness of our proposed method compared with state-of-the-art matrix factorization based methods. Copyright © 2017 Elsevier Ltd. All rights reserved.

May I Suggest? Comparing Three PLE Recommender Strategies

ERIC Educational Resources Information Center

Modritscher, Felix; Krumay, Barbara; El Helou, Sandy; Gillet, Denis; Nussbaumer, Alexander; Albert, Dietrich; Dahn, Ingo; Ullrich, Carsten

2011-01-01

Personal learning environment (PLE) solutions aim at empowering learners to design (ICT and web-based) environments for their learning activities, mashing-up content and people and apps for different learning contexts. Widely used in other application areas, recommender systems can be very useful for supporting learners in their PLE-based…

Situating Pedagogies, Positions and Practices in Immersive Virtual Worlds

ERIC Educational Resources Information Center

Savin-Baden, Maggi; Gourlay, Lesley; Tombs, Cathy; Steils, Nicole; Tombs, Gemma; Mawer, Matt

2010-01-01

Background: The literature on immersive virtual worlds and e-learning to date largely indicates that technology has led the pedagogy. Although rationales for implementing e-learning have included flexibility of provision and supporting diversity, none of these recommendations has helped to provide strong pedagogical location. Furthermore, there is…

Collaborative Recommendation of E-Learning Resources: An Experimental Investigation

ERIC Educational Resources Information Center

Manouselis, N.; Vuorikari, R.; Van Assche, F.

2010-01-01

Repositories with educational resources can support the formation of online learning communities by providing a platform for collaboration. Users (e.g. teachers, tutors and learners) access repositories, search for interesting resources to access and use, and in many cases, also exchange experiences and opinions. A particular class of online…

Design of Ontology-Based Sharing Mechanism for Web Services Recommendation Learning Environment

NASA Astrophysics Data System (ADS)

Chen, Hong-Ren

The number of digital learning websites is growing as a result of advances in computer technology and new techniques in web page creation. These sites contain a wide variety of information but may be a source of confusion to learners who fail to find the information they are seeking. This has led to the concept of recommendation services to help learners acquire information and learning resources that suit their requirements. Learning content like this cannot be reused by other digital learning websites. A successful recommendation service that satisfies a certain learner must cooperate with many other digital learning objects so that it can achieve the required relevance. The study proposes using the theory of knowledge construction in ontology to make the sharing and reuse of digital learning resources possible. The learning recommendation system is accompanied by the recommendation of appropriate teaching materials to help learners enhance their learning abilities. A variety of diverse learning components scattered across the Internet can be organized through an ontological process so that learners can use information by storing, sharing, and reusing it.

Competence Description for Personal Recommendations: The Importance of Identifying the Complexity of Learning and Performance Situations

ERIC Educational Resources Information Center

Prins, Frans J.; Nadolski, Rob J.; Berlanga, Adriana J.; Drachsler, Hendrik; Hummel, Hans G. K.; Koper, Rob

2008-01-01

For competences development of learners and professionals, target competences and corresponding competence development opportunities have to be identified. Personal Recommender Systems (PRS) provide personal recommendations for learners aimed at finding and selecting learning activities that best match their needs. This article argues that a…

Structural Contructivism as an Epistemology for Professional e-Learning: Implications & Recommendations for the Design of eCPD Pedagogical Models

ERIC Educational Resources Information Center

Singh, Gurmit; McPherson, Maggie

2013-01-01

This position paper deploys a dialectical worldview and a critical sociological perspective on practice to conceptualize professional e-learning as a reflexive bundle of knowing, doing, thinking and reflecting that produces practical knowledge as the power to change when immersed in the dynamism of practice across social structures. It is…

Human resource recommendation algorithm based on ensemble learning and Spark

NASA Astrophysics Data System (ADS)

Cong, Zihan; Zhang, Xingming; Wang, Haoxiang; Xu, Hongjie

2017-08-01

Aiming at the problem of “information overload” in the human resources industry, this paper proposes a human resource recommendation algorithm based on Ensemble Learning. The algorithm considers the characteristics and behaviours of both job seeker and job features in the real business circumstance. Firstly, the algorithm uses two ensemble learning methods-Bagging and Boosting. The outputs from both learning methods are then merged to form user interest model. Based on user interest model, job recommendation can be extracted for users. The algorithm is implemented as a parallelized recommendation system on Spark. A set of experiments have been done and analysed. The proposed algorithm achieves significant improvement in accuracy, recall rate and coverage, compared with recommendation algorithms such as UserCF and ItemCF.

Web Interface Design Principles for Adults' Self-Directed Learning

ERIC Educational Resources Information Center

Firat, Mehmet; Sakar, A. Nurhan; Kabakci Yurdakul, Isil

2016-01-01

One of the most important features which e-learning tools and environments must possess within the scope of lifelong learning is self-directed learning, which can be considered as a form of self-learning. The aim of this study was to determine, based on the views and recommendations of experts, interface design principles for the development of…

Overcoming Learned Helplessness in Community College Students.

ERIC Educational Resources Information Center

Roueche, John E.; Mink, Oscar G.

1982-01-01

Reviews research on the effects of repeated experiences of helplessness and on locus of control. Identifies conditions necessary for overcoming learned helplessness; i.e., the potential for learning to occur; consistent reinforcement; relevant, valued reinforcers; and favorable psychological situation. Recommends eight ways for teachers to…

Assessment of item-writing flaws in multiple-choice questions.

PubMed

Nedeau-Cayo, Rosemarie; Laughlin, Deborah; Rus, Linda; Hall, John

2013-01-01

This study evaluated the quality of multiple-choice questions used in a hospital's e-learning system. Constructing well-written questions is fraught with difficulty, and item-writing flaws are common. Study results revealed that most items contained flaws and were written at the knowledge/comprehension level. Few items had linked objectives, and no association was found between the presence of objectives and flaws. Recommendations include education for writing test questions.

Providing Personalized Services to Users in a Recommender System

ERIC Educational Resources Information Center

Oduwobi, Olukunle; Ojokoh, Bolanle Adefowoke

2015-01-01

Instructors recommend learning materials to a class of students not minding the learning ability and reading habit of each student. Learners are finding it problematic to make a decision about which available learning materials best meet their situation and will be beneficial to their course of study. In order to address this challenge, a new…

Personalized Learning Objects Recommendation Based on the Semantic-Aware Discovery and the Learner Preference Pattern

ERIC Educational Resources Information Center

Wang, Tzone I; Tsai, Kun Hua; Lee, Ming Che; Chiu, Ti Kai

2007-01-01

With vigorous development of the Internet, especially the web page interaction technology, distant E-learning has become more and more realistic and popular. Digital courses may consist of many learning units or learning objects and, currently, many learning objects are created according to SCORM standard. It can be seen that, in the near future,…

What do we do? Practices and learning strategies of medical education leaders.

PubMed

Lieff, Susan; Albert, Mathieu

2012-01-01

Continuous changes in undergraduate and postgraduate medical education require faculty to assume a variety of new leadership roles. While numerous faculty development programmes have been developed, there is little evidence about the specific practices of medical education leaders or their learning strategies to help inform their design. This study aimed to explore what medical education leaders' actually do, their learning strategies and recommendations for faculty development. A total of 16 medical education leaders from a variety of contexts within the faculty of medicine of a large North American medical school participated in semi-structured interviews to explore the nature of their work and the learning strategies they employ. Using thematic analysis, interview transcripts were coded inductively and then clustered into emergent themes. Findings clustered into four key themes of practice: (1) intrapersonal (e.g., self-awareness), (2) interpersonal (e.g., fostering informal networks), (3) organizational (e.g., creating a shared vision) and (4) systemic (e.g. strategic navigation). Learning strategies employed included learning from experience and example, reflective practice, strategic mentoring or advanced training. Our findings illuminate a four-domain framework for understanding medical education leader practices and their learning preferences. While some of these findings are not unknown in the general leadership literature, our understanding of their application in medical education is unique. These practices and preferences have a potential utility for conceptualizing a coherent and relevant approach to the design of faculty development strategies for medical education leadership.

Mobile Language Learning: The Medium Is ^Not The Message

ERIC Educational Resources Information Center

Lotherington, Heather

2018-01-01

This paper repositions McLuhan's (1964/1965) extension theory of technology in the context of "mobile (-assisted) language learning" (MALL), and explores whether and how the medium (i.e., the mobile device) impacts the message (i.e., the target language) and the means by which it is taught in MALL. A survey of recommended commercial MALL…

E-Learning Practices in North Cyprus Universities: Benefits, Drawbacks and Recommendations for Effective Implementation

ERIC Educational Resources Information Center

Hismanoglu, Murat

2011-01-01

The nature of higher education is changing in the world today. Rising tuition fees, reduced budgets, and an increasing need for distance education (New Media Consortium, 2007) are pushing educational institutions to reinvestigate how education is delivered. In line with this shifting context, e-learning is being practiced more and more frequently…

Virtual Manipulatives: Tools for Teaching Mathematics to Students with Learning Disabilities

ERIC Educational Resources Information Center

Shin, Mikyung; Bryant, Diane P.; Bryant, Brian R.; McKenna, John W.; Hou, Fangjuan; Ok, Min Wook

2017-01-01

Many students with learning disabilities demonstrate difficulty in developing a conceptual understanding of mathematical topics. Researchers recommend using visual models to support student learning of the concepts and skills necessary to complete abstract and symbolic mathematical problems. Virtual manipulatives (i.e., interactive visual models)…

Global health partnership for student peer-to-peer psychiatry e-learning: Lessons learned.

PubMed

Keynejad, Roxanne C

2016-12-03

Global 'twinning' relationships between healthcare organizations and institutions in low and high-resource settings have created growing opportunities for e-health partnerships which capitalize upon expanding information technology resources worldwide. E-learning approaches to medical education are increasingly popular but remain under-investigated, whilst a new emphasis on global health teaching has coincided with university budget cuts in many high income countries. King's Somaliland Partnership (KSP) is a paired institutional partnership health link, supported by Tropical Health and Education Trust (THET), which works to strengthen the healthcare system and improve access to care through mutual exchange of skills, knowledge and experience between Somaliland and King's Health Partners, UK. Aqoon, meaning knowledge in Somali, is a peer-to-peer global mental health e-learning partnership between medical students at King's College London (KCL) and Hargeisa and Amoud Universities, Somaliland. It aims to extend the benefits of KSP's cross-cultural and global mental health education work to medical students and has reported positive results, including improved attitudes towards psychiatry in Somaliland students. The process of devising, piloting, evaluating, refining, implementing, re-evaluating and again refining the Aqoon model has identified important barriers to successful partnership. This article describes lessons learned during this process, sharing principles and recommendations for readers wishing to expand their own global health link beyond qualified clinicians, to the healthcare professionals of the future.

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

NASA Astrophysics Data System (ADS)

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

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

Blogging for Reflection: The Use of Online Journals to Engage Students in Reflective Learning

ERIC Educational Resources Information Center

Muncy, James A.

2014-01-01

Reflective learning has long been studied in many disciplines. A primary way that reflective learning has been taught is through journaling. With the advent of e-learning, journaling has moved to the Web in the form of blogs. The current paper reviews the current state of journaling and blogging research with specific recommendations for marketing…

The Comparison of Personalization Recommendation for E-Commerce

NASA Astrophysics Data System (ADS)

Ya, Luo

Personalization recommendation is the key technology in E-commerce, which affects the performance of E-commerce system. This paper mainly introduces personalization recommendation system and its role, and several widely used recommendation technology. Through comparing and analyzing on the strengths and weaknesses of recommendation technology, it concludes that the combined application for a variety of techniques should satisfy the actual needs better.

Collaborative Filtering for Expansion of Learner's Background Knowledge in Online Language Learning: Does "Top-Down" Processing Improve Vocabulary Proficiency?

ERIC Educational Resources Information Center

Yamada, Masanori; Kitamura, Satoshi; Matsukawa, Hideya; Misono, Tadashi; Kitani, Noriko; Yamauchi, Yuhei

2014-01-01

In recent years, collaborative filtering, a recommendation algorithm that incorporates a user's data such as interest, has received worldwide attention as an advanced learning support system. However, accurate recommendations along with a user's interest cannot be ideal as an effective learning environment. This study aims to develop and…

Investigation of Learners' Perceptions for Video Summarization and Recommendation

ERIC Educational Resources Information Center

Yang, Jie Chi; Chen, Sherry Y.

2012-01-01

Recently, multimedia-based learning is widespread in educational settings. A number of studies investigate how to develop effective techniques to manage a huge volume of video sources, such as summarization and recommendation. However, few studies examine how these techniques affect learners' perceptions in multimedia learning systems. This…

Does Personalisation Promote Learners' Attention? An Eye-Tracking Study

ERIC Educational Resources Information Center

Zander, Steffi; Reichelt, Maria; Wetzel, Stefanie; Kämmerer, Frauke; Bertel, Sven

2015-01-01

The personalisation principle is a design recommendation and states that multimedia presentations using personalised language promote learning better than those using formal language (e.g., using "your" instead of "the"). It is often assumed that this design recommendation affects motivation and therefore allocation of…

PubMedReco: A Real-Time Recommender System for PubMed Citations.

PubMed

Samuel, Hamman W; Zaïane, Osmar R

2017-01-01

We present a recommender system, PubMedReco, for real-time suggestions of medical articles from PubMed, a database of over 23 million medical citations. PubMedReco can recommend medical article citations while users are conversing in a synchronous communication environment such as a chat room. Normally, users would have to leave their chat interface to open a new web browser window, and formulate an appropriate search query to retrieve relevant results. PubMedReco automatically generates the search query and shows relevant citations within the same integrated user interface. PubMedReco analyzes relevant keywords associated with the conversation and uses them to search for relevant citations using the PubMed E-utilities programming interface. Our contributions include improvements to the user experience for searching PubMed from within health forums and chat rooms, and a machine learning model for identifying relevant keywords. We demonstrate the feasibility of PubMedReco using BMJ's Doc2Doc forum discussions.

An Assessment of the Army Officer Education System From an Adult Learning Perspective

DTIC Science & Technology

2005-05-26

learning 2 Brockett, Ralph, and Roger Hiemstra. "Bridging the Theory -Practice Gap in Self-Directed... Learning ." In Self-Directed Learning : From Theory to Practice, edited by S. Brookfield. New Directions for Continuing Education No. 25. (San...offers conclusions and recommendations about the Army Officer Education System based on analysis from adult learning theory . Statement of the

Coaching Model + Clinical Playbook = Transformative Learning.

PubMed

Fletcher, Katherine A; Meyer, Mary

2016-01-01

Health care employers demand that workers be skilled in clinical reasoning, able to work within complex interprofessional teams to provide safe, quality patient-centered care in a complex evolving system. To this end, there have been calls for radical transformation of nursing education including the development of a baccalaureate generalist nurse. Based on recommendations from the American Association of Colleges of Nursing, faculty concluded that clinical education must change moving beyond direct patient care by applying the concepts associated with designer, manager, and coordinator of care and being a member of a profession. To accomplish this, the faculty utilized a system of focused learning assignments (FLAs) that present transformative learning opportunities that expose students to "disorienting dilemmas," alternative perspectives, and repeated opportunities to reflect and challenge their own beliefs. The FLAs collected in a "Playbook" were scaffolded to build the student's competencies over the course of the clinical experience. The FLAs were centered on the 6 Quality and Safety Education for Nurses competencies, with 2 additional concepts of professionalism and systems-based practice. The FLAs were competency-based exercises that students performed when not assigned to direct patient care or had free clinical time. Each FLA had a lesson plan that allowed the student and faculty member to see the competency addressed by the lesson, resources, time on task, student instructions, guide for reflection, grading rubric, and recommendations for clinical instructor. The major advantages of the model included (a) consistent implementation of structured learning experiences by a diverse teaching staff using a coaching model of instruction; (b) more systematic approach to present learning activities that build upon each other; (c) increased time for faculty to interact with students providing direct patient care; (d) guaranteed capture of selected transformative learning experiences; (e) increased student reflection to promote transformative learning; and (f) provided avenues for timely feedback to students. Copyright © 2016 Elsevier Inc. All rights reserved.

New Functions for Stimulating Learners' Motivation in a Web-Based e-Learning System

ERIC Educational Resources Information Center

Matsuo, Keita; Barolli, Leonard; Xhafa, Fatos; Koyama, Akio; Durresi, Arjan

2008-01-01

Due to the opportunities provided by the Internet, people are taking advantage of e-learning courses and during the last few years enormous research efforts have been dedicated to the development of e-learning systems. So far, many e-learning systems are proposed and used practically. However, in these systems the e-learning completion rate is…

Diffusion of an e-Portfolio to Assist in the Self-Directed Learning of Physicians: An Exploratory Study

ERIC Educational Resources Information Center

Goliath, Cheryl Lynn

2009-01-01

Professional societies in the field of medicine have recommended that the traditional model for lifelong medical learning, which had previously focused on attendance at weeklong didactic continuing medical education (CME) courses, should be replaced by individualized study. Self-directed and practice-linked learning are well accepted in principle,…

The relevance of work-related learning for vulnerable groups. Dutch case study of a Health Impact Assessment with equity focus.

PubMed

Storm, Ilse; Uiters, Ellen; Busch, Mirjam C M; den Broeder, Lea; Schuit, Albertine J

2015-07-01

Learning is essential for sustainable employability. However, various factors make work-related learning more difficult for certain groups of workers, who are consequently at a disadvantage in the labour market. In the long term, that in turn can have adverse health implications and can make those groups vulnerable. With a view to encouraging workers to continue learning, the Netherlands has a policy on work-related learning, which forms part of the 'Vitality Package'. A Health Impact Assessment with equity focus (HIAef) was undertaken to determine whether the policy on work-related learning affected certain groups of workers and their health in different ways, and whether the differences were avoidable. The HIAef method involved the standard phases: screening, scoping, appraisal and recommendations. Equity was the core principle in this method. Data were collected by means of both literature searches (e.g., Scopus, Medline) and interviews with experts and stakeholders (e.g., expertise regarding work, training and/or health). The HIAef identified the following groups as potentially vulnerable in the field of work-related learning: the chronically sick, older people, less educated people, flexi-workers/the self-employed and lay carers (e.g., thresholds to learning). Published literature indicates that work-related learning may have a positive influence on health through (work-related) factors such as pay, employability, longer employment rate and training-participation. According to experts and stakeholders, work-related learning policy could be adapted to take more account of vulnerable groups through alignment with their particular needs, such as early support, informal learning and e-learning. With a view to reducing avoidable inequalities in work-related learning, it is recommended that early, low-threshold, accessible opportunities are made available to identified vulnerable groups. Making such opportunities available may have a positive effect on (continued) participation in the labour market and thus on the health of the relevant groups. Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.

eLearning: Is There a Place in Athletic Training Education?

PubMed Central

Wright, Kenneth E.; Stewart, Jeffrey; Wright, Vivian H.; Barker, Scott

2002-01-01

Objective: To provide an overview of current issue and research literature that discusses the use of eLearning in an academic curriculum. We address several components to be examined before eLearning is incorporated into athletic training education. Data Sources: We searched MEDLINE and Educational Resources Information Center (ERIC) from 2000 through 2002 using the key words distance education, online learning, and the individual research studies referenced in this article. Data Synthesis: Educational research studies have confirmed that multiple methods in instruction delivery exist. Within the changing culture of higher education, the use of effective communication tools has been shown to increase student knowledge and skills. Through eLearning, methods of instruction design are designed to be student centered and allow the educator to become a facilitator. Conclusions/Recommendations: Even though the use of eLearning faces many challenges in athletic training education, the research literature does support this method of instructional delivery in selected courses in athletic training education. PMID:12937546

eLearning: Is There a Place in Athletic Training Education?

PubMed

Wright, Kenneth E; Stewart, Jeffrey; Wright, Vivian H; Barker, Scott

2002-12-01

OBJECTIVE: To provide an overview of current issue and research literature that discusses the use of eLearning in an academic curriculum. We address several components to be examined before eLearning is incorporated into athletic training education. DATA SOURCES: We searched MEDLINE and Educational Resources Information Center (ERIC) from 2000 through 2002 using the key words distance education, online learning, and the individual research studies referenced in this article. DATA SYNTHESIS: Educational research studies have confirmed that multiple methods in instruction delivery exist. Within the changing culture of higher education, the use of effective communication tools has been shown to increase student knowledge and skills. Through eLearning, methods of instruction design are designed to be student centered and allow the educator to become a facilitator. CONCLUSIONS/RECOMMENDATIONS: Even though the use of eLearning faces many challenges in athletic training education, the research literature does support this method of instructional delivery in selected courses in athletic training education.

MIDAS: Lessons learned from the first spaceborne atomic force microscope

NASA Astrophysics Data System (ADS)

Bentley, Mark Stephen; Arends, Herman; Butler, Bart; Gavira, Jose; Jeszenszky, Harald; Mannel, Thurid; Romstedt, Jens; Schmied, Roland; Torkar, Klaus

2016-08-01

The Micro-Imaging Dust Analysis System (MIDAS) atomic force microscope (AFM) onboard the Rosetta orbiter was the first such instrument launched into space in 2004. Designed only a few years after the technique was invented, MIDAS is currently orbiting comet 67P Churyumov-Gerasimenko and producing the highest resolution 3D images of cometary dust ever made in situ. After more than a year of continuous operation much experience has been gained with this novel instrument. Coupled with operations of the Flight Spare and advances in terrestrial AFM a set of "lessons learned" has been produced, cumulating in recommendations for future spaceborne atomic force microscopes. The majority of the design could be reused as-is, or with incremental upgrades to include more modern components (e.g. the processor). Key additional recommendations are to incorporate an optical microscope to aid the search for particles and image registration, to include a variety of cantilevers (with different spring constants) and a variety of tip geometries.

Asynchronous Cooperative e-Learning System and Its Evaluation

NASA Astrophysics Data System (ADS)

Eto, Kazuhiro; Miyoshi, Takumi

Much attention has been attracted to collaborative learning on an e-learning system. However, it is difficult to implement the collaborative environment to an asynchronous e-learning system since collaboration would be realized only when learners join the system at the same time. On the other hand, cooperative learning has been proposed. In this method, learners can study on their own pace without making mutual agreement but with receiving cognitive information from others. In this paper, the authors have developed the asynchronous cooperative e-learning system that provides learners' attendance and studying progress as the cognitive information. The subjective evaluation experiments show that our system is slightly inferior to the synchronous collaborative e-learning system, but it can motivate the learners more than the conventional system.

Web-Based Intelligent E-Learning Systems: Technologies and Applications

ERIC Educational Resources Information Center

Ma, Zongmin

2006-01-01

Collecting and presenting the latest research and development results from the leading researchers in the field of e-learning systems, Web-Based Intelligent E-Learning Systems: Technologies and Applications provides a single record of current research and practical applications in Web-based intelligent e-learning systems. This book includes major…

My-Bookstore: Using Information Technology to Support Children's Classroom Reading and Book Recommendation

ERIC Educational Resources Information Center

Chien, Tzu-Chao; Chen, Zhi-Hong; Ko, Hwa-Wei; Ku, Yu-Min; Chan, Tak-Wai

2015-01-01

This paper describes a learning system, named My-Bookstore, where students buy (make records of) books (paper books) which they have read, and then sell (recommend) the books they like to others. This system is designed to encourage elementary students' classroom reading and book recommendation. The long-term influence of the My-Bookstore system…

A Design of Innovative Engineering Drawing Teaching Materials

NASA Astrophysics Data System (ADS)

Mujiarto; Djohar, A.; Komaro, M.

2018-02-01

Good teaching is influenced by several things such as effective school leaders and skilled teachers who are able to use information communication technology as a medium of learning. The purpose of this research in general is to develop innovative teaching materials in the form of multimedia animation for engineering drawing in the field of technology and engineering at vocational high school. Research method used research and development (research and development / R & D). The results showed that the E-book Multimedia Animation Engineering Drawing (E-MMAED) is easy to possess and contains complete material. Students stated that the use of E-MMAED adds to learning motivation and improves learning outcomes (student competencies). We recommend that teachers apply E-MMAED as a learning medium and create other innovations to improve student competences.

The Impact of Individual Differences on E-Learning System Behavioral Intention

NASA Astrophysics Data System (ADS)

Liao, Peiwen; Yu, Chien; Yi, Chincheh

This study investigated the impact of contingent variables on the relationship between four predictors and employees' behavioral intention with e-learning. Seven hundred and twenty-two employees in online training and education were asked to answer questionnaires about their learning styles, perceptions of the quality of the proposed predictors and behavioral intention with e-learning systems. The results of analysis showed that three contingent variables, gender, job title and industry, significantly influenced the perceptions of predictors and employees' behavioral intention with the e-learning system. This study also found a statistically significant moderating effect of two contingent variables, gender, job title and industry, on the relationship between predictors and e-learning system behavioral intention. The results suggest that a serious consideration of contingent variables is crucial for improving e-learning system behavioral intention. The implications of these results for the management of e-learning systems are discussed.

Scalable Topic Modeling: Online Learning, Diagnostics, and Recommendation

DTIC Science & Technology

2017-03-01

Chinese restaurant processes. Journal of Machine Learning Research, 12:2461–2488, 2011. 15. L. Hannah, D. Blei and W. Powell. Dirichlet process mixtures of...34. S. Ghosh, A. Ungureanu, E. Sudderth, and D. Blei. A Spatial distance dependent Chinese restaurant process for image segmentation. In Neural

WE-E-217A-02: Methodologies for Evaluation of Standalone CAD System Performance.

PubMed

Sahiner, B

2012-06-01

Standalone performance evaluation of a CAD system provides information about the abnormality detection or classification performance of the computerized system alone. Although the performance of the reader with CAD is the final step in CAD system assessment, standalone performance evaluation is an important component for several reasons: First, standalone evaluation informs the reader about the performance level of the CAD system and may have an impact on how the reader uses the system. Second, it provides essential information to the system designer for algorithm optimization during system development. Third, standalone evaluation can provide a detailed description of algorithm performance (e.g., on subgroups of the population) because a larger data set with more samples from different subgroups can be included in standalone studies compared to reader studies. Proper standalone evaluation of a CAD system involves a number of key components, some of which are shared with the assessment of reader performance with CAD. These include (1) selection of a test data set that allows performance assessment with little or no bias and acceptable uncertainty; (2) a reference standard that indicates disease status as well as the location and extent of disease; (3) a clearly defined method for labeling each CAD mark as a true-positive or false-positive; and (4) a properly selected set of metrics to summarize the accuracy of the computer marks and their corresponding scores. In this lecture, we will discuss various approaches for the key components of standalone CAD performance evaluation listed above, and present some of the recommendations and opinions from the AAPM CAD subcommittee on these issues. Learning Objectives 1. Identify basic components and metrics in the assessment of standalone CAD systems 2. Understand how each component may affect the assessed performance 3. Learn about AAPM CAD subcommittee's opinions and recommendations on factors and metrics related to the evaluation of standalone CAD system performance. © 2012 American Association of Physicists in Medicine.

Assessing E-Learning System in Higher Education Institutes: Evidence from Structural Equation Modelling

ERIC Educational Resources Information Center

Ali, Muhammad; Raza, Syed Ali; Qazi, Wasim; Puah, Chin-Hong

2018-01-01

Purpose: This study aims to examine university students' acceptance of e-learning systems in Pakistan. A Web-based learning system is a new form of utilizing technological features. Although, developed countries have initiated and established the concept for e-learning, developing countries require empirical support to implement e-learning.…

Assessing E-Learning 2.0 System Success

ERIC Educational Resources Information Center

Wang, Hei Chia; Chiu, Yi Fang

2011-01-01

Traditional e-learning systems support "one-way" communication. Teachers provide knowledge for learners, but they are unable to use a student's learning experiences to benefit the class as a whole. To address these problems, this study explores e-learning success factors via the design and evaluation of an e-learning 2.0 system. This study…

What have we learned about intelligent transportation systems? Chapter 6, What have we learned about ITS for commercial vehicle operations? Status, challenges, and benefits of CVISN level 1 deployment

DOT National Transportation Integrated Search

2006-01-01

This handbook provides guidance and recommended practices on managing and controlling traffic on ramps with freeway facilities. The use or application of the guidance and recommendations provided will in time serve to enhance the use and effectivenes...

Exploring nursing e-learning systems success based on information system success model.

PubMed

Chang, Hui-Chuan; Liu, Chung-Feng; Hwang, Hsin-Ginn

2011-12-01

E-learning is thought of as an innovative approach to enhance nurses' care service knowledge. Extensive research has provided rich information toward system development, courses design, and nurses' satisfaction with an e-learning system. However, a comprehensive view in understanding nursing e-learning system success is an important but less focused-on topic. The purpose of this research was to explore net benefits of nursing e-learning systems based on the updated DeLone and McLean's Information System Success Model. The study used a self-administered questionnaire to collected 208 valid nurses' responses from 21 of Taiwan's medium- and large-scale hospitals that have implemented nursing e-learning systems. The result confirms that the model is sufficient to explore the nurses' use of e-learning systems in terms of intention to use, user satisfaction, and net benefits. However, while the three exogenous quality factors (system quality, information quality, and service quality) were all found to be critical factors affecting user satisfaction, only information quality showed a direct effect on the intention to use. This study provides useful insights for evaluating nursing e-learning system qualities as well as an understanding of nurses' intentions and satisfaction related to performance benefits.

On Deep Learning for Trust-Aware Recommendations in Social Networks.

PubMed

Deng, Shuiguang; Huang, Longtao; Xu, Guandong; Wu, Xindong; Wu, Zhaohui

2017-05-01

With the emergence of online social networks, the social network-based recommendation approach is popularly used. The major benefit of this approach is the ability of dealing with the problems with cold-start users. In addition to social networks, user trust information also plays an important role to obtain reliable recommendations. Although matrix factorization (MF) becomes dominant in recommender systems, the recommendation largely relies on the initialization of the user and item latent feature vectors. Aiming at addressing these challenges, we develop a novel trust-based approach for recommendation in social networks. In particular, we attempt to leverage deep learning to determinate the initialization in MF for trust-aware social recommendations and to differentiate the community effect in user's trusted friendships. A two-phase recommendation process is proposed to utilize deep learning in initialization and to synthesize the users' interests and their trusted friends' interests together with the impact of community effect for recommendations. We perform extensive experiments on real-world social network data to demonstrate the accuracy and effectiveness of our proposed approach in comparison with other state-of-the-art methods.

Review of Research on Student-Facing Learning Analytics Dashboards and Educational Recommender Systems

ERIC Educational Resources Information Center

Bodily, Robert; Verbert, Katrien

2017-01-01

This article is a comprehensive literature review of student-facing learning analytics reporting systems that track learning analytics data and report it directly to students. This literature review builds on four previously conducted literature reviews in similar domains. Out of the 945 articles retrieved from databases and journals, 93 articles…

Integration of an Intelligent Tutoring System in a Course of Computer Network Design

ERIC Educational Resources Information Center

Verdú, Elena; Regueras, Luisa M.; Gal, Eran; de Castro, Juan P.; Verdú, María J.; Kohen-Vacs, Dan

2017-01-01

INTUITEL is a research project aiming to offer a personalized learning environment. The INTUITEL approach includes an Intelligent Tutoring System that gives students recommendations and feedback about what the best learning path is for them according to their profile, learning progress, context and environmental influences. INTUITEL combines…

Enhancing Collaborative Learning in Web 2.0-Based E-Learning Systems: A Design Framework for Building Collaborative E-Learning Contents

ERIC Educational Resources Information Center

El Mhouti, Abderrahim; Nasseh, Azeddine; Erradi, Mohamed; Vasquèz, José Marfa

2017-01-01

Today, the implication of Web 2.0 technologies in e-learning allows envisaging new teaching and learning forms, advocating an important place to the collaboration and social interaction. However, in e-learning systems, learn in a collaborative way is not always so easy because one of the difficulties when arranging e-learning courses can be that…

Distance Learning Students' Evaluation of E-Learning System in University of Tabuk, Saudi Arabia

ERIC Educational Resources Information Center

Al-Juda, Mefleh Qublan B.

2017-01-01

This study evaluates the experiences and perceptions of students regarding e-learning systems and their preparedness for e-learning. It also investigates the overall perceptions of students regarding e-learning and the factors influencing students' attitudes towards e-learning. The study uses convenience sampling in which students of the Education…

Learning outcomes in two different teaching approach in nursing education in Iran: e-learning versus lecture.

PubMed

Mehrdad, Neda; Zolfaghari, Mitra; Bahrani, Naser; Eybpoosh, Sana

2011-01-01

Traditional teaching methods used in medical education couldn't meet the need for keeping pace with up to date information. Present study has conducted in order to compare the effect of lecture and e-learning methods on nursing students' learning outcomes in the context of Iran. A cross-over design was applied. Study sample was consisted of 32 students which were in third semester of nursing bachelor program and were passing Maternal Child nursing course. The first part of the course was taught using lecture method during first four weeks; an e-learning method was the technique used to educate the remained part of the course during the second four weeks. Students' learning outcomes in each method, opinion toward and participation with both educational methods was assessed. No significant difference was found between students exam scores in both methods. Considering students' opinion toward educational methods, no significant difference was found between two methods in general but students reported better "capability" and "independency" in e-learning method while lecture was obtained higher scores in "effectiveness on learning" and "motivation" characteristics. E-learning can be used in teaching some nursing courses. It is recommended to use e-learning method with appropriate interactive strategies and attractive virtual environments to motivate students.

E-learning courses in epilepsy--concept, evaluation, and experience with the e-learning course "genetics of epilepsies".

PubMed

Wehrs, Verena Hézser-V; Pfäfflin, Margarete; May, Theodor W

2007-05-01

To evaluate the efficacy of the e-learning course "Genetics of Epilepsies" and to assess the experiences of the participants and e-moderators with this new approach. Prospective, controlled study with waiting group (control group, n = 18) and e-learning group (n = 20). The control group got the same reference literature list as the e-learning group. Both groups were assessed twice: The e-learning group before and after the course; the control group was assessed at the same times. increase in knowledge about genetics of epilepsies using questionnaires based on items formulated by experts (internal consistency, Cronbach's alpha = 0.86). Main hypothesis: greater increase of knowledge in the e-learning group compared to control group. assessment of the educational course and learning environment by participants and by tutors/e-moderators. Significant time x group interaction and group effect (ANOVA, each p < 0.01) with regard to knowledge. At baseline, the groups did not differ with respect to knowledge about genetics of epilepsy. In contrast to the control group, the increase of knowledge in the e-learning group was highly significant (p < 0.001). The majority of the participants of the e-learning course was content with their personal learning process (75% agree, 15% strongly agree). Most of them reported a gain in competence in the treatment and counseling of people with epilepsy (38.9% agree, 50% strongly agree). All participants would recommend this course to others and all but one participant are interested in other e-learning courses. The study indicates e-learning courses are an appropriate tool to improve knowledge of physicians in genetics of epilepsy.

Memory modification as an outcome variable in anxiety disorder treatment.

PubMed

Tryon, Warren W; McKay, Dean

2009-05-01

Learning and memory are interdependent processes. Memories are learned, and cumulative learning requires memory. It is generally accepted that learning contributes to psychopathology and consequently to pertinent memory formation. Neuroscience and psychological research have established that memory is an active reconstructive process that is influenced by thoughts, feelings, and behaviors including post-event information. Recent research on the treatment of anxiety disorders using medications (i.e., d-cyclcloserine) to alter neurological systems associated with memory used in conjunction with behavior therapy suggests that memory is part of a central mechanism in the etiology and maintenance of these conditions. The main thesis of this article is that learning-based interventions create new memories that may modify existing ones. This raises the possibility of using such memory modifications to measure intervention outcome. A connectionist context for understanding this phenomenon and informing intervention is provided, with specific reference to post-traumatic stress disorder, obsessive-compulsive disorder, and generalized anxiety disorder. Recommendations for future research examining the role of memory change in treatment outcome are suggested.

Personalized E- learning System Based on Intelligent Agent

NASA Astrophysics Data System (ADS)

Duo, Sun; Ying, Zhou Cai

Lack of personalized learning is the key shortcoming of traditional e-Learning system. This paper analyzes the personal characters in e-Learning activity. In order to meet the personalized e-learning, a personalized e-learning system based on intelligent agent was proposed and realized in the paper. The structure of system, work process, the design of intelligent agent and the realization of intelligent agent were introduced in the paper. After the test use of the system by certain network school, we found that the system could improve the learner's initiative participation, which can provide learners with personalized knowledge service. Thus, we thought it might be a practical solution to realize self- learning and self-promotion in the lifelong education age.

An Empirical Study on Behavioural Intention to Reuse E-Learning Systems in Rural China

ERIC Educational Resources Information Center

Li, Yan; Duan, Yanqing; Fu, Zetian; Alford, Philip

2012-01-01

The learner's acceptance of e-learning systems has received extensive attention in prior studies, but how their experience of using e-learning systems impacts on their behavioural intention to reuse those systems has attracted limited research. As the applications of e-learning are still gaining momentum in developing countries, such as China,…

Consensus standards for introductory e-learning courses in human participants research ethics

PubMed Central

Williams, John R; Sprumont, Dominique; Hirtle, Marie; Adebamowo, Clement; Braunschweiger, Paul; Bull, Susan; Burri, Christian; Czarkowski, Marek; Te Fan, Chien; Franck, Caroline; Gefenas, Eugenjius; Geissbuhler, Antoine; Klingmann, Ingrid; Kouyaté, Bocar; Kraehenbhul, Jean-Pierre; Kruger, Mariana; Moodley, Keymanthri; Ntoumi, Francine; Nyirenda, Thomas; Pym, Alexander; Silverman, Henry; Tenorio, Sara

2015-01-01

This paper reports the results of a workshop held in January 2013 to begin the process of establishing standards for e-learning programmes in the ethics of research involving human participants that could serve as the basis of their evaluation by individuals and groups who want to use, recommend or accredit such programmes. The standards that were drafted at the workshop cover the following topics: designer/provider qualifications, learning goals, learning objectives, content, methods, assessment of participants and assessment of the course. The authors invite comments on the draft standards and eventual endorsement of a final version by all stakeholders. PMID:23959838

Toward interactive context-aware affective educational recommendations in computer-assisted language learning

NASA Astrophysics Data System (ADS)

Santos, Olga C.; Saneiro, Mar; Boticario, Jesus G.; Rodriguez-Sanchez, M. C.

2016-01-01

This work explores the benefits of supporting learners affectively in a context-aware learning situation. This features a new challenge in related literature in terms of providing affective educational recommendations that take advantage of ambient intelligence and are delivered through actuators available in the environment, thus going beyond previous approaches which provided computer-based recommendation that present some text or tell aloud the learner what to do. To address this open issue, we have applied TORMES elicitation methodology, which has been used to investigate the potential of ambient intelligence for making more interactive recommendations in an emotionally challenging scenario (i.e. preparing for the oral examination of a second language learning course). Arduino open source electronics prototyping platform is used both to sense changes in the learners' affective state and to deliver the recommendation in a more interactive way through different complementary sensory communication channels (sight, hearing, touch) to cope with a universal design. An Ambient Intelligence Context-aware Affective Recommender Platform (AICARP) has been built to support the whole experience, which represents a progress in the state of the art. In particular, we have come up with what is most likely the first interactive context-aware affective educational recommendation. The value of this contribution lies in discussing methodological and practical issues involved.

E-Learning, State and Educational System in Middle East Countries

ERIC Educational Resources Information Center

Rashidi, Hamid; Arani, Abbas Madandar; Kakia, Lida

2012-01-01

E-learning has provided men with new opportunities in teaching-learning procedures. A historical review of educational systems literature reveals that e-learning has spread out among people much faster than any other learning methods. E-learning as a state-of-the-art technology, has caused great innovations in materials development in those…

Intelligent system for topic survey in MEDLINE by keyword recommendation and learning text characteristics.

PubMed

Tanaka, M; Nakazono, S; Matsuno, H; Tsujimoto, H; Kitamura, Y; Miyano, S

2000-01-01

We have implemented a system for assisting experts in selecting MEDLINE records for database construction purposes. This system has two specific features: The first is a learning mechanism which extracts characteristics in the abstracts of MEDLINE records of interest as patterns. These patterns reflect selection decisions by experts and are used for screening the records. The second is a keyword recommendation system which assists and supplements experts' knowledge in unexpected cases. Combined with a conventional keyword-based information retrieval system, this system may provide an efficient and comfortable environment for MEDLINE record selection by experts. Some computational experiments are provided to prove that this idea is useful.

Leveraging e-learning in medical education.

PubMed

Lewis, Kadriye O; Cidon, Michal J; Seto, Teresa L; Chen, Haiqin; Mahan, John D

2014-07-01

e-Learning has become a popular medium for delivering instruction in medical education. This innovative method of teaching offers unique learning opportunities for medical trainees. The purpose of this article is to define the present state of e-learning in pediatrics and how to best leverage e-learning for educational effectiveness and change in medical education. Through addressing under-examined and neglected areas in implementation strategies for e-learning, its usefulness in medical education can be expanded. This study used a systematic database review of published studies in the field of e-learning in pediatric training between 2003 and 2013. The search was conducted using educational and health databases: Scopus, ERIC, PubMed, and search engines Google and Hakia. A total of 72 reference articles were suitable for analysis. This review is supplemented by the use of "e-Learning Design Screening Questions" to define e-learning design and development in 10 randomly selected articles. Data analysis used template-based coding themes and counting of the categories using descriptive statistics.Our search for pediatric e-learning (using Google and Hakia) resulted in six well-defined resources designed to support the professional development of doctors, residents, and medical students. The majority of studies focused on instructional effectiveness and satisfaction. There were few studies about e-learning development, implementation, and needs assessments used to identify the institutional and learners' needs. Reviewed studies used various study designs, measurement tools, instructional time, and materials for e-learning interventions. e-Learning is a viable solution for medical educators faced with many challenges, including (1) promoting self-directed learning, (2) providing flexible learning opportunities that would offer continuous (24h/day/7 days a week) availability for learners, and (3) engaging learners through collaborative learning communities to gain significant learning and augment continuous professional development. Several important recommendations for faculty instructors interested in providing and/or improving e-learning activities for today's learners are detailed. Copyright © 2014 Mosby, Inc. All rights reserved.

EMR-based medical knowledge representation and inference via Markov random fields and distributed representation learning.

PubMed

Zhao, Chao; Jiang, Jingchi; Guan, Yi; Guo, Xitong; He, Bin

2018-05-01

Electronic medical records (EMRs) contain medical knowledge that can be used for clinical decision support (CDS). Our objective is to develop a general system that can extract and represent knowledge contained in EMRs to support three CDS tasks-test recommendation, initial diagnosis, and treatment plan recommendation-given the condition of a patient. We extracted four kinds of medical entities from records and constructed an EMR-based medical knowledge network (EMKN), in which nodes are entities and edges reflect their co-occurrence in a record. Three bipartite subgraphs (bigraphs) were extracted from the EMKN, one to support each task. One part of the bigraph was the given condition (e.g., symptoms), and the other was the condition to be inferred (e.g., diseases). Each bigraph was regarded as a Markov random field (MRF) to support the inference. We proposed three graph-based energy functions and three likelihood-based energy functions. Two of these functions are based on knowledge representation learning and can provide distributed representations of medical entities. Two EMR datasets and three metrics were utilized to evaluate the performance. As a whole, the evaluation results indicate that the proposed system outperformed the baseline methods. The distributed representation of medical entities does reflect similarity relationships with respect to knowledge level. Combining EMKN and MRF is an effective approach for general medical knowledge representation and inference. Different tasks, however, require individually designed energy functions. Copyright © 2018 Elsevier B.V. All rights reserved.

Evaluating PLATO: postgraduate teaching and learning online.

PubMed

Brown, Menna; Bullock, Alison

2014-02-01

  The use of the Internet as a teaching medium has increased rapidly over the last decade. PLATO (postgraduate learning and teaching online) was launched in 2008 by the e-learning unit (ELU) of Wales Deanery. Located within Learning@NHSWales, a Moodle virtual learning environment (VLE), it hosts a wide range of freely available courses and resources tailored to support the education, training and continuing professional development (CPD) needs of health care professionals working across the National Health Service (NHS) Wales. The evaluation aimed to identify the costs and benefits of PLATO, report its value as attributed by users, identify potential cost savings and make recommendations.   Five courses (case studies) were selected, representing the range of available e-learning resources: e-induction; fetal heart monitoring; cervical screening; GP prospective trainers; and tools for trainers. Mixed methods were used: one-to-one qualitative interviews, focus group discussions and surveys explored user views, and identified individual and organisational value.   Qualitative findings identified six key areas of value for users: ELU support and guidance; avoidance of duplication and standardisation; central reference; local control; flexibility for learners; and specific features. Survey results (n=72) indicated 72 per cent of consultants reported that PLATO was easy to access and user friendly. E-learning was rated as 'very/important' for CPD by 79 per cent of respondents. Key challenges were: access, navigation, user concerns, awareness and support.   PLATO supports education and helps deliver UK General Medical Council standards. Future plans should address the suggested recommendations to realise cost savings for NHS Wales and the Wales Deanery. The findings have wider applicability to others developing or using VLEs. © 2014 John Wiley & Sons Ltd.

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

ERIC Educational Resources Information Center

Takemura, Atsushi

2015-01-01

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

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

PubMed

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

2015-05-01

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

Defining, Assessing, and Promoting E-Learning Success: An Information Systems Perspective

ERIC Educational Resources Information Center

Holsapple, Clyde W.; Lee-Post, Anita

2006-01-01

This research advances the understanding of how to define, evaluate, and promote e-learning success from an information systems perspective. It introduces the E-Learning Success Model, which posits that the overall success of an e-learning initiative depends on the attainment of success at each of the three stages of e-learning systems…

An Adaptive Scaffolding E-Learning System for Middle School Students' Physics Learning

ERIC Educational Resources Information Center

Chen, Ching-Huei

2014-01-01

This study presents a framework that utilizes cognitive and motivational aspects of learning to design an adaptive scaffolding e-learning system. It addresses scaffolding processes and conditions for designing adaptive scaffolds. The features and effectiveness of this adaptive scaffolding e-learning system are discussed and evaluated. An…

Artificial intelligent e-learning architecture

NASA Astrophysics Data System (ADS)

Alharbi, Mafawez; Jemmali, Mahdi

2017-03-01

Many institutions and university has forced to use e learning, due to its ability to provide additional and flexible solutions for students and researchers. E-learning In the last decade have transported about the extreme changes in the distribution of education allowing learners to access multimedia course material at any time, from anywhere to suit their specific needs. In the form of e learning, instructors and learners live in different places and they do not engage in a classroom environment, but within virtual universe. Many researches have defined e learning based on their objectives. Therefore, there are small number of e-learning architecture have proposed in the literature. However, the proposed architecture has lack of embedding intelligent system in the architecture of e learning. This research argues that unexplored potential remains, as there is scope for e learning to be intelligent system. This research proposes e-learning architecture that incorporates intelligent system. There are intelligence components, which built into the architecture.

The Implementation of E-learning System at UIN Sumatera Utara in Response to Technology Challenge in Education

NASA Astrophysics Data System (ADS)

Sayekti, Retno

2018-03-01

The objective of this study is to find out student patterns and perceptions of using a MOODLE-based e-learning system that was first used in 2014. The methodology involved was a survey to 165 respondents comprising of several classes of various subjects. This study investigates the intensity of student’s use of e-learning; time choice; justification of time choice; span of time in using e-learning; choice of access place; medium or devices used to access e-learning; and activities conducted in e-learning. In terms of students’ perspectives, the author tried to find out students thought and feeling in using e-learning. Finally, the finding suggests that students tend to use various devices to access e-learning in any place that provide speed internet access. This study also revealed that most of students feel that the learning process becomes more effective and efficient by using e-learning compared to the traditional learning system in class.

The Necessity of Intended Use Specification for Successful Modeling and Simulation of a System-of-Systems

DTIC Science & Technology

2014-10-01

Working in a SoS M&S enterprise emphasizing affordability and simulation asset reuse, we drew from our “lessons learned ” the conclusion that M&S “IU” must...those les- sons learned and programmatic risks we encountered motivates our recommendation for formalizing SoS M&S IU definition and specification in a...especially in system- of-system contexts, such as the Ballistic Missile Defense System. Leveraging lessons learned from intense reliance on system-of

8 Lessons about E-Learning from 5 Organizations.

ERIC Educational Resources Information Center

Gold, Martha

2003-01-01

Summarizes a series of case studies of enterprise-wide electronic learning with these recommendations: (1) standardize courseware and narrow course selection; (2) market new ideas to employees; (3) buy wisely; (4) increase security; (5) buy cautiously; (6) find best value for your organization; (7) get buy-in from management; and (8) offer…

Successful Implementation of a Computer-Supported Collaborative Learning System in Teaching E-Commerce

ERIC Educational Resources Information Center

Ngai, E. W. T.; Lam, S. S.; Poon, J. K. L.

2013-01-01

This paper describes the successful application of a computer-supported collaborative learning system in teaching e-commerce. The authors created a teaching and learning environment for 39 local secondary schools to introduce e-commerce using a computer-supported collaborative learning system. This system is designed to equip students with…

Nextgen Navy eLearning Tracking

DTIC Science & Technology

2014-12-01

ELEARNING TRACKING by William E. Miller December 2014 Thesis Advisor: Man-Tak Shing Co-Advisor: Arijit Das THIS PAGE INTENTIONALLY LEFT......Navy’s eLearning (NeL) computer-based learning system relies on a Learning Management System (LMS) for content delivery and tracking learning

Adaptable, Personalised E-Learning Incorporating Learning Styles

ERIC Educational Resources Information Center

Peter, Sophie E.; Bacon, Elizabeth; Dastbaz, Mohammad

2010-01-01

Purpose: The purpose of this paper is to discuss how learning styles and theories are currently used within personalised adaptable e-learning adaptive systems. This paper then aims to describe the e-learning platform iLearn and how this platform is designed to incorporate learning styles as part of the personalisation offered by the system.…

Encouragement for Faculty to Implement Vision and Change

PubMed Central

Harvey, Caylyn; Eshleman, Kristen; Koo, Kyosung; Smith, Kevin G.; Paradise, Christopher J.; Campbell, A. Malcolm

2016-01-01

The seminal report Vision and Change outlined improvements necessary for undergraduate biology courses to accomplish widely recognized learning objectives. Over the past 8 years, we have developed a two-semester introductory biology course that incorporates the core concepts and competencies recommended in Vision and Change. Using published research on how students learn, we focused our efforts on three main areas of change: pedagogy, course content, and technology. We introduced active-learning strategies to improve our classroom environments, wrote an e-textbook that provides students with the tools they need to construct their own knowledge, and employed an online learning hub to assist students who needed extra support. The redesigned courses have been well received by students, and we have seen good student learning outcomes. The purpose of this essay is to demonstrate to faculty that Vision and Change’s recommendations are feasible and students welcome the improvements. PMID:27810871

The elements of a commercial human spaceflight safety reporting system

NASA Astrophysics Data System (ADS)

Christensen, Ian

2017-10-01

In its report on the SpaceShipTwo accident the National Transportation Safety Board (NTSB) included in its recommendations that the Federal Aviation Administration (FAA) ;in collaboration with the commercial spaceflight industry, continue work to implement a database of lessons learned from commercial space mishap investigations and encourage commercial space industry members to voluntarily submit lessons learned.; In its official response to the NTSB the FAA supported this recommendation and indicated it has initiated an iterative process to put into place a framework for a cooperative safety data sharing process including the sharing of lessons learned, and trends analysis. Such a framework is an important element of an overall commercial human spaceflight safety system.

The Effectiveness of E-Learning Systems: A Review of the Empirical Literature on Learner Control

ERIC Educational Resources Information Center

Sorgenfrei, Christian; Smolnik, Stefan

2016-01-01

E-learning systems are considerably changing education and organizational training. With the advancement of online-based learning systems, learner control over the instructional process has emerged as a decisive factor in technology-based forms of learning. However, conceptual work on the role of learner control in e-learning has not advanced…

Lessons Learned JSC Micro-Wireless Instrumentation Systems on Space Shuttle and International Space Station CANEUS 2006

NASA Technical Reports Server (NTRS)

Studor, George

2007-01-01

A viewgraph presentation on lessons learned from NASA Johnson Space Center's micro-wireless instrumentation is shown. The topics include: 1) Background, Rationale and Vision; 2) NASA JSC/Structural Engineering Approach & History; 3) Orbiter Wing Leading Edge Impact Detection System; 4) WLEIDS Confidence and Micro-WIS Lessons Learned; and 5) Current Projects and Recommendations.

Multiplatform E-Learning Systems and Technologies: Mobile Devices for Ubiquitous ICT-Based Education

ERIC Educational Resources Information Center

Goh, Tiong Thye, Ed.

2010-01-01

Multiplatform e-learning systems are emerging technologies that provide integrated learning content to various accessing devices. This book addresses technical challenges, design frameworks, and development experiences of the future that integrate multiple mobile devices into a single multiplatform e-learning system. With expert international…

Exploring Moodle Functionality for Managing Open Distance Learning E-Assessments

ERIC Educational Resources Information Center

Koneru, Indira

2017-01-01

Current and emerging technologies enable Open Distance Learning (ODL) institutions integrate e-Learning in innovative ways and add value to the existing teaching-learning and assessment processes. ODL e-Assessment systems have evolved from Computer Assisted/Aided Assessment (CAA) systems through intelligent assessment and feedback systems.…

Cultural Conflict: School-Community-Curriculum.

ERIC Educational Resources Information Center

Central Consolidated School District No. 22, Shiprock, NM.

This teacher training guide provides information about Navajo cultural beliefs that conflict with learning in the dominant society's educational system. The guide offers rationales for the taboos and recommendations for providing appropriate learning situations, materials, and multicultural learning styles. Section 1 contains information on Navajo…

Effects of e-learning, lectures, and role playing on nursing students' knowledge acquisition, retention and satisfaction.

PubMed

Pourghaznein, Tayebeh; Sabeghi, Hakimeh; Shariatinejad, Keyvan

2015-01-01

Nursing education can maintain its dynamic quality when it moves toward innovation and modern methods of teaching and learning. Therefore, teachers are required to employ up to date methods in their teaching plans. This study evaluated the effects of e-learning, lectures, and role playing on nursing students' learning, retention, and satisfaction. Sixty nursing students were selected as an experiment and control groups during two consecutive semesters. The educational content was presented as e-learning and role playing during one semester (experiment group) and as lectures in the next semester (control group). A questionnaire containing three parts was used to assess demographics, learning and satisfaction statuses. The questionnaire also included a final openended question to evaluate the students' ideas about the whole course. The mean scores of posttest were 16.13 ± 1.37 using role playing, 15.50 ± 1.44 using e-learning and 16.45 ± 1.23 using lectures. The differences between the mean scores of posttest and pretest were 12.84 ± 1.43, 12.56 ± 1.57, and 13.73 ± 1.53 in the mentioned methods, respectively. Lectures resulted in significantly better learning compared to role playing and e-learning. In contrast, retention rates were significantly lower using lectures than using role playing and e-learning. Students' satisfaction from e-learning was significantly lower than lecturing and role playing. Due to the lower rates of retention following lectures, the teachers are recommended to use student- centered approaches in their lectures. Since students' satisfaction with e-learning was lower than the other methods, further studies are suggested to explore the problems of e-learning in Iran.

Effects of e-learning, lectures, and role playing on nursing students’ knowledge acquisition, retention and satisfaction

PubMed Central

Pourghaznein, Tayebeh; Sabeghi, Hakimeh; Shariatinejad, Keyvan

2015-01-01

Background: Nursing education can maintain its dynamic quality when it moves toward innovation and modern methods of teaching and learning. Therefore, teachers are required to employ up to date methods in their teaching plans. This study evaluated the effects of e-learning, lectures, and role playing on nursing students’ learning, retention, and satisfaction. Methods: Sixty nursing students were selected as an experiment and control groups during two consecutive semesters. The educational content was presented as e-learning and role playing during one semester (experiment group) and as lectures in the next semester (control group). A questionnaire containing three parts was used to assess demographics, learning and satisfaction statuses. The questionnaire also included a final openended question to evaluate the students’ ideas about the whole course. Results: The mean scores of posttest were 16.13 ± 1.37 using role playing, 15.50 ± 1.44 using e-learning and 16.45 ± 1.23 using lectures. The differences between the mean scores of posttest and pretest were 12.84 ± 1.43, 12.56 ± 1.57, and 13.73 ± 1.53 in the mentioned methods, respectively. Lectures resulted in significantly better learning compared to role playing and e-learning. In contrast, retention rates were significantly lower using lectures than using role playing and e-learning. Students’ satisfaction from e-learning was significantly lower than lecturing and role playing. Conclusion: Due to the lower rates of retention following lectures, the teachers are recommended to use student- centered approaches in their lectures. Since students’ satisfaction with e-learning was lower than the other methods, further studies are suggested to explore the problems of e-learning in Iran. PMID:26000257

Print versus Digital Texts: Understanding the Experimental Research and Challenging the Dichotomies

ERIC Educational Resources Information Center

Ross, Bella; Pechenkina, Ekaterina; Aeschliman, Carol; Chase, Anne-Marie

2017-01-01

This article presents the results of a systematic critical review of interdisciplinary literature concerned with digital text (or e-text) uses in education and proposes recommendations for how e-texts can be implemented for impactful learning. A variety of e-texts can be found in the repertoire of educational resources accessible to students, and…

Matrix- and tensor-based recommender systems for the discovery of currently unknown inorganic compounds

NASA Astrophysics Data System (ADS)

Seko, Atsuto; Hayashi, Hiroyuki; Kashima, Hisashi; Tanaka, Isao

2018-01-01

Chemically relevant compositions (CRCs) and atomic arrangements of inorganic compounds have been collected as inorganic crystal structure databases. Machine learning is a unique approach to search for currently unknown CRCs from vast candidates. Herein we propose matrix- and tensor-based recommender system approaches to predict currently unknown CRCs from database entries of CRCs. Firstly, the performance of the recommender system approaches to discover currently unknown CRCs is examined. A Tucker decomposition recommender system shows the best discovery rate of CRCs as the majority of the top 100 recommended ternary and quaternary compositions correspond to CRCs. Secondly, systematic density functional theory (DFT) calculations are performed to investigate the phase stability of the recommended compositions. The phase stability of the 27 compositions reveals that 23 currently unknown compounds are newly found to be stable. These results indicate that the recommender system has great potential to accelerate the discovery of new compounds.

Introduction on health recommender systems.

PubMed

Sanchez-Bocanegra, C L; Sanchez-Laguna, F; Sevillano, J L

2015-01-01

People are looking for appropriate health information which they are concerned about. The Internet is a great resource of this kind of information, but we have to be careful if we don't want to get harmful info. Health recommender systems are becoming a new wave for apt health information as systems suggest the best data according to the patients' needs.The main goals of health recommender systems are to retrieve trusted health information from the Internet, to analyse which is suitable for the user profile and select the best that can be recommended, to adapt their selection methods according to the knowledge domain and to learn from the best recommendations.A brief definition of recommender systems will be given and an explanation of how are they incorporated in the health sector. A description of the main elementary recommender methods as well as their most important problems will also be made. And, to finish, the state of the art will be described.

Validating the Satisfaction and Continuance Intention of E-Learning Systems: Combining TAM and IS Success Models

ERIC Educational Resources Information Center

Lin, Tung-Cheng; Chen, Ching-Jen

2012-01-01

Many e-learning studies have evaluated learning attitudes and behaviors, based on TAM. However, a successful e-learning system (ELS) should take both system and information quality into account by applying ISM developed by Delone and McLean. In addition, the acceptance for information system depends on the perceived usefulness and ease of use…

An Intelligent Mobile Location-Aware Book Recommendation System that Enhances Problem-Based Learning in Libraries

ERIC Educational Resources Information Center

Chen, Chih-Ming

2013-01-01

Despite rapid and continued adoption of mobile devices, few learning modes integrate with mobile technologies and libraries' environments as innovative learning modes that emphasize the key roles of libraries in facilitating learning. In addition, some education experts have claimed that transmitting knowledge to learners is not the only…

Recommending Learning Activities in Social Network Using Data Mining Algorithms

ERIC Educational Resources Information Center

Mahnane, Lamia

2017-01-01

In this paper, we show how data mining algorithms (e.g. Apriori Algorithm (AP) and Collaborative Filtering (CF)) is useful in New Social Network (NSN-AP-CF). "NSN-AP-CF" processes the clusters based on different learning styles. Next, it analyzes the habits and the interests of the users through mining the frequent episodes by the…

Promoting Self-Explanation to Improve Mathematics Learning: A Meta-Analysis and Instructional Design Principles

ERIC Educational Resources Information Center

Rittle-Johnson, Bethany; Loehr, Abbey M.; Durkin, Kelley

2017-01-01

Promoting self-explanation (i.e., generating explanations for oneself in an attempt to make sense of new information) is a recommended study strategy and instructional practice. A meta-analysis of the literature on prompting self-explanation to improve mathematics learning confirmed that prompted self-explanation leads to a small to moderate…

Extended Worksheet Developed According to 5E Model Based on Constructivist Learning Approach

ERIC Educational Resources Information Center

Töman, Ufuk; Akdeniz, Ali Riza; Odabasi Çimer, Sabiha; Gürbüz, Fatih

2013-01-01

In order to achieve the targeted objectives desired level of education and modern learning theories for learner centered methods are recommended. In this context the use of worksheets developed and that student participation is considered to be one of the methods. This research is one of the ethyl alcohol fermentation biology issues and prepare…

The Impact of CMS Quality on the Outcomes of E-Learning Systems in Higher Education: An Empirical Study

ERIC Educational Resources Information Center

Kim, Kihyun; Trimi, Silvana; Park, Hyesung; Rhee, Shanggeun

2012-01-01

Course Management Systems (CMSs) in higher education have emerged as one of the most widely adopted e-learning platforms. This study examines the success of e-learning CMSs based on user satisfaction and benefits. Using DeLone and McLean's information system success model as a theoretical framework, we analyze the success of e-learning CMSs in…

Curriculum for Excellence and Interdisciplinary Learning

ERIC Educational Resources Information Center

Humes, Walter

2013-01-01

This paper examines the recommendations contained in Curriculum for Excellence (CfE) aimed at encouraging the integration of knowledge, skills and understanding across different areas of the curriculum. It first outlines what is said in the official CfE documentation and supporting materials produced by Education Scotland, noting the absence of…

Appropriate Technology and Journal Writing: Structured Dialogues that Enhance Learning

ERIC Educational Resources Information Center

Longhurst, James; Sandage, Scott A.

2004-01-01

Of the many available options, instructors should choose "appropriate technology" that meets pedagogical goals with minimum disruption. Student journal assignments follow many teaching "best practices" but consume time and energy; we recommend e-mail as the most appropriate choice for journal assignments. E-mail encourages fast and personalized…

E-Learning System for Design and Construction of Amplifier Using Transistors

ERIC Educational Resources Information Center

Takemura, Atsushi

2014-01-01

This paper proposes a novel e-Learning system for the comprehensive understanding of electronic circuits with transistors. The proposed e-Learning system allows users to learn a wide range of topics, encompassing circuit theories, design, construction, and measurement. Given the fact that the amplifiers with transistors are an integral part of…

An Architecture for Online Laboratory E-Learning System

ERIC Educational Resources Information Center

Duan, Bing; Hosseini, Habib Mir M.; Ling, Keck Voon; Gay, Robert Kheng Leng

2006-01-01

Internet-based learning systems, or e-learning, are widely available in institutes, universities, and industrial companies, hosting regular or continuous education programs. The dream of teaching and learning from anywhere and at anytime becomes a reality due to the construction of e-learning infrastructure. Traditional teaching materials and…

Using Games-Based eLearning Technologies in Overcoming Difficulties in Teaching Information Systems

ERIC Educational Resources Information Center

Connolly, Thomas; Stanfield, Mark

2006-01-01

The contributions of this research center on two major areas: delineation of a new model of distance education in which the authors identify three generations of eLearning; and examination of how eLearning and games-based eLearning technologies can be used to enrich the Information Systems (IS) learning experiences of students with different…

The Effect of Recommendation Systems on Internet-Based Learning for Different Learners: A Data Mining Analysis

ERIC Educational Resources Information Center

Liu, Chen-Chung; Chang, Chia-Jung; Tseng, Jui-Min

2013-01-01

A general challenge facing Internet-based learners is how to identify information objects which are helpful in expanding their understanding of important information in a domain. Recommendation systems may assist learners in identifying potentially helpful information objects. However, the recent literature mainly focuses on the technical…

Human likeness: cognitive and affective factors affecting adoption of robot-assisted learning systems

NASA Astrophysics Data System (ADS)

Yoo, Hosun; Kwon, Ohbyung; Lee, Namyeon

2016-07-01

With advances in robot technology, interest in robotic e-learning systems has increased. In some laboratories, experiments are being conducted with humanoid robots as artificial tutors because of their likeness to humans, the rich possibilities of using this type of media, and the multimodal interaction capabilities of these robots. The robot-assisted learning system, a special type of e-learning system, aims to increase the learner's concentration, pleasure, and learning performance dramatically. However, very few empirical studies have examined the effect on learning performance of incorporating humanoid robot technology into e-learning systems or people's willingness to accept or adopt robot-assisted learning systems. In particular, human likeness, the essential characteristic of humanoid robots as compared with conventional e-learning systems, has not been discussed in a theoretical context. Hence, the purpose of this study is to propose a theoretical model to explain the process of adoption of robot-assisted learning systems. In the proposed model, human likeness is conceptualized as a combination of media richness, multimodal interaction capabilities, and para-social relationships; these factors are considered as possible determinants of the degree to which human cognition and affection are related to the adoption of robot-assisted learning systems.

Analysis of Means for Building Context-Aware Recommendation System for Mobile Learning

ERIC Educational Resources Information Center

Shcherbachenko, Larysa; Nowakowski, Samuel

2017-01-01

One of the rapidly developing tools for online learning is learning through a mobile environment. Therefore, developing and improving mobile learning environments is an active topic now. One of the ways to adapt the learning environment to the user's needs is to use his context. Context of the user consists of the current context in online…

A New Approach to Personalization: Integrating E-Learning and M-Learning

ERIC Educational Resources Information Center

Nedungadi, Prema; Raman, Raghu

2012-01-01

Most personalized learning systems are designed for either personal computers (e-learning) or mobile devices (m-learning). Our research has resulted in a cloud-based adaptive learning system that incorporates mobile devices into a classroom setting. This system is fully integrated into the formative assessment process and, most importantly,…

The Domains for the Multi-Criteria Decisions about E-Learning Systems

ERIC Educational Resources Information Center

Uysal, Murat Pasa

2012-01-01

Developments in computer and information technologies continue to give opportunities for designing advanced E-learning systems while entailing objective and technical evaluation methodologies. Design and development of E-learning systems require time-consuming and labor-intensive processes; therefore any decision about these systems and their…

E-book recommender system design and implementation based on data mining

NASA Astrophysics Data System (ADS)

Wang, Zongjiang

2011-12-01

In the knowledge explosion, rapid development of information age, how quickly the user or users interested in useful information for feedback to the user problem to be solved in this article. This paper based on data mining, association rules to the model and classification model a combination of electronic books on the recommendation of the user's neighboring users interested in e-books to target users. Introduced the e-book recommendation and the key technologies, system implementation algorithms, and implementation process, was proved through experiments that this system can help users quickly find the required e-books.

Computer Self-Efficacy and Factors Influencing E-Learning Effectiveness

ERIC Educational Resources Information Center

Chien, Tien-Chen

2012-01-01

Purpose: The purpose of this study is to investigate the influences of system and instructor factors on e-learning effectiveness under the interactions of computer self-efficacy. In this study, the factors of the e-learning system are functionality, interaction, and response. The factors of the e-learning instructor are attitude, technical skills,…

ELE: An Ontology-Based System Integrating Semantic Search and E-Learning Technologies

ERIC Educational Resources Information Center

Barbagallo, A.; Formica, A.

2017-01-01

ELSE (E-Learning for the Semantic ECM) is an ontology-based system which integrates semantic search methodologies and e-learning technologies. It has been developed within a project of the CME (Continuing Medical Education) program--ECM (Educazione Continua nella Medicina) for Italian participants. ELSE allows the creation of e-learning courses…

LMS in university for in-class education: Synergy of free software, competitive approach and social networks technology

NASA Astrophysics Data System (ADS)

Radygin, V. Y.; Lukyanova, N. V.; Kupriyanov, D. Yu.

2017-01-01

Transformation of learning management systems over last two decades was investigated. The features of using e-learning systems for in-class education were discussed. The necessity of integration e-learning system with the student performance controlling system was shown. The influence of choice of student ranking system on students' motivation was described. The own way to choice of e-learning system design principles and technologies were suggested.

E-Learning System of Asia through Open Courseware (OCW) and Educational Resources (OER) for Universal Access to Knowledge and Information

ERIC Educational Resources Information Center

Kayal, Soumen; Das, Baisakhi

2017-01-01

One of the most impressive uses of information and communication technology is the advent of e-learning. The current E-learning system mainly plays a role of learning assistance such as providing learning content or learning information, and sometime it provides channels or platform in the learning environment for discussion and interaction. In…

The Effectiveness of SDMs in the Development of E-Learning Systems in South Africa

ERIC Educational Resources Information Center

van Aswegen, Kobus; Huisman, Magda; Taylor, Estelle

2014-01-01

E-learning systems, or learning management systems, as it is known in the field, sit at the heart of educational systems and are used to systematically deliver on-line content and facilitate the learning experience around that content. It becomes essential to ensure that Learning Management Systems of a high standard are being developed. In the…

An E-learning System based on Affective Computing

NASA Astrophysics Data System (ADS)

Duo, Sun; Song, Lu Xue

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

Evaluating the Reliability and Impact of a Quality Assurance System for E-Learning Courseware

ERIC Educational Resources Information Center

Sung, Yao-Ting; Chang, Kuo-En; Yu, Wen-Cheng

2011-01-01

Assuring e-learning quality is of interest worldwide. This paper introduces the methods of e-learning courseware quality assurance (a quality certification system) adopted by the eLQSC (e-Learning Quality Service Centre) in Taiwan. A sequential/explanatory design with a mixed methodology was used to gather research data and conduct data analyses.…

A Model for an Adaptive e-Learning Hypermedia System

ERIC Educational Resources Information Center

Mahnane, Lamia; Tayeb, Laskri Mohamed; Trigano, Philippe

2013-01-01

Recent years have shown increasing awareness for the importance of adaptivity in e-learning. Since the learning style of each learner is different. Adaptive e-learning hypermedia system (AEHS) must fit different learner's needs. A number of AEHS have been developed to support learning styles as a source for adaptation. However, these systems…

Suggestions for the Design of E-Learning Environments to Enhance Learner Self-Efficacy

ERIC Educational Resources Information Center

Hodges, Charles B.

2013-01-01

In this paper e-learning is used as an umbrella term for all types of learning involving technology. Graesser et al (2007) note that technologies for learning exist that allow for e-learning systems to be much more than information delivery systems, but "unfortunately, the learning strategies of most students are extremely limited, so the…

Stakeholder Analysis for the CF Counter-IED Training Courses

DTIC Science & Technology

2010-05-01

for more than purely research purposes when the experimenter is present. 3.1.3 Learning Style- based Adaptation The Index of Learning Styles (Felder...student. It is recommended that the Adaption Module uses the same ontology based reasoning approach as the Evaluation Module. RacerPro is the recommended...reasoner. RacerPro is used as a system for managing semantic web ontologies based on Web Ontology Language (OWL). The design phase will confirm

Error analysis of stochastic gradient descent ranking.

PubMed

Chen, Hong; Tang, Yi; Li, Luoqing; Yuan, Yuan; Li, Xuelong; Tang, Yuanyan

2013-06-01

Ranking is always an important task in machine learning and information retrieval, e.g., collaborative filtering, recommender systems, drug discovery, etc. A kernel-based stochastic gradient descent algorithm with the least squares loss is proposed for ranking in this paper. The implementation of this algorithm is simple, and an expression of the solution is derived via a sampling operator and an integral operator. An explicit convergence rate for leaning a ranking function is given in terms of the suitable choices of the step size and the regularization parameter. The analysis technique used here is capacity independent and is novel in error analysis of ranking learning. Experimental results on real-world data have shown the effectiveness of the proposed algorithm in ranking tasks, which verifies the theoretical analysis in ranking error.

Teaching Research Methods and Statistics in eLearning Environments: Pedagogy, Practical Examples, and Possible Futures

PubMed Central

Rock, Adam J.; Coventry, William L.; Morgan, Methuen I.; Loi, Natasha M.

2016-01-01

Generally, academic psychologists are mindful of the fact that, for many students, the study of research methods and statistics is anxiety provoking (Gal et al., 1997). Given the ubiquitous and distributed nature of eLearning systems (Nof et al., 2015), teachers of research methods and statistics need to cultivate an understanding of how to effectively use eLearning tools to inspire psychology students to learn. Consequently, the aim of the present paper is to discuss critically how using eLearning systems might engage psychology students in research methods and statistics. First, we critically appraise definitions of eLearning. Second, we examine numerous important pedagogical principles associated with effectively teaching research methods and statistics using eLearning systems. Subsequently, we provide practical examples of our own eLearning-based class activities designed to engage psychology students to learn statistical concepts such as Factor Analysis and Discriminant Function Analysis. Finally, we discuss general trends in eLearning and possible futures that are pertinent to teachers of research methods and statistics in psychology. PMID:27014147

Teaching Research Methods and Statistics in eLearning Environments: Pedagogy, Practical Examples, and Possible Futures.

PubMed

Rock, Adam J; Coventry, William L; Morgan, Methuen I; Loi, Natasha M

2016-01-01

Generally, academic psychologists are mindful of the fact that, for many students, the study of research methods and statistics is anxiety provoking (Gal et al., 1997). Given the ubiquitous and distributed nature of eLearning systems (Nof et al., 2015), teachers of research methods and statistics need to cultivate an understanding of how to effectively use eLearning tools to inspire psychology students to learn. Consequently, the aim of the present paper is to discuss critically how using eLearning systems might engage psychology students in research methods and statistics. First, we critically appraise definitions of eLearning. Second, we examine numerous important pedagogical principles associated with effectively teaching research methods and statistics using eLearning systems. Subsequently, we provide practical examples of our own eLearning-based class activities designed to engage psychology students to learn statistical concepts such as Factor Analysis and Discriminant Function Analysis. Finally, we discuss general trends in eLearning and possible futures that are pertinent to teachers of research methods and statistics in psychology.

Development of an E-learning System for the Endoscopic Diagnosis of Early Gastric Cancer: An International Multicenter Randomized Controlled Trial.

PubMed

Yao, K; Uedo, N; Muto, M; Ishikawa, H; Cardona, H J; Filho, E C Castro; Pittayanon, R; Olano, C; Yao, F; Parra-Blanco, A; Ho, S H; Avendano, A G; Piscoya, A; Fedorov, E; Bialek, A P; Mitrakov, A; Caro, L; Gonen, C; Dolwani, S; Farca, A; Cuaresma, L F; Bonilla, J J; Kasetsermwiriya, W; Ragunath, K; Kim, S E; Marini, M; Li, H; Cimmino, D G; Piskorz, M M; Iacopini, F; So, J B; Yamazaki, K; Kim, G H; Ang, T L; Milhomem-Cardoso, D M; Waldbaum, C A; Carvajal, W A Piedra; Hayward, C M; Singh, R; Banerjee, R; Anagnostopoulos, G K; Takahashi, Y

2016-07-01

In many countries, gastric cancer is not diagnosed until an advanced stage. An Internet-based e-learning system to improve the ability of endoscopists to diagnose gastric cancer at an early stage was developed and was evaluated for its effectiveness. The study was designed as a randomized controlled trial. After receiving a pre-test, participants were randomly allocated to either an e-learning or non-e-learning group. Only those in the e-learning group gained access to the e-learning system. Two months after the pre-test, both groups received a post-test. The primary endpoint was the difference between the two groups regarding the rate of improvement of their test results. 515 endoscopists from 35 countries were assessed for eligibility, and 332 were enrolled in the study, with 166 allocated to each group. Of these, 151 participants in the e-learning group and 144 in the non-e-learning group were included in the analysis. The mean improvement rate (standard deviation) in the e-learning and non-e-learning groups was 1·24 (0·26) and 1·00 (0·16), respectively (P<0·001). This global study clearly demonstrated the efficacy of an e-learning system to expand knowledge and provide invaluable experience regarding the endoscopic detection of early gastric cancer (R000012039). Copyright © 2016 The Authors. Published by Elsevier B.V. All rights reserved.

Effective e-learning for health professional and medical students: the experience with SIAS-Intelligent Tutoring System.

PubMed

Muñoz, Diana C; Ortiz, Alexandra; González, Carolina; López, Diego M; Blobel, Bernd

2010-01-01

Current e-learning systems are still inadequate to support the level of interaction, personalization and engagement demanded by clinicians, care givers, and the patient themselves. For effective e-learning to be delivered in the health context, collaboration between pedagogy and technology is required. Furthermore, e-learning systems should be flexible enough to be adapted to the students' needs, evaluated regularly, easy to use and maintain and provide students' feedback, guidelines and supporting material in different formats. This paper presents the implementation of an Intelligent Tutoring System (SIAS-ITS), and its evaluation compared to a traditional virtual learning platform (Moodle). The evaluation was carried out as a case study, in which the participants were separated in two groups, each group attending a virtual course on the WHO Integrated Management of Childhood Illness (IMCI) strategy supported by one of the two e-learning platforms. The evaluation demonstrated that the participants' knowledge level, pedagogical strategies used, learning efficiency and systems' usability were improved using the Intelligent Tutoring System.

Effects of the ISIS Recommender System for Navigation Support in Self-Organised Learning Networks

ERIC Educational Resources Information Center

Drachsler, Hendrik; Hummel, Hans; van den Berg, Bert; Eshuis, Jannes; Waterink, Wim; Nadolski, Rob; Berlanga, Adriana; Boers, Nanda; Koper, Rob

2009-01-01

The need to support users of the Internet with the selection of information is becoming more important. Learners in complex, self-organising Learning Networks have similar problems and need guidance to find and select most suitable learning activities, in order to attain their lifelong learning goals in the most efficient way. Several research…

Designing a Personalized Guide Recommendation System to Mitigate Information Overload in Museum Learning

ERIC Educational Resources Information Center

Huang, Yong-Ming; Liu, Chien-Hung; Lee, Chun-Yi; Huang, Yueh-Min

2012-01-01

Museum learning has received a lot of attention in recent years. Museum learning refers to people's use of museums to acquire knowledge. However, a problem with information overload has caused in engaging in such learning. Information overload signifies that users encounter a mass of information and need to determine whether certain information…

Evaluation of an e-learning system for diagnosis of gastric lesions using magnifying narrow-band imaging: a multicenter randomized controlled study.

PubMed

Nakanishi, Hiroyoshi; Doyama, Hisashi; Ishikawa, Hideki; Uedo, Noriya; Gotoda, Takuji; Kato, Mototsugu; Nagao, Shigeaki; Nagami, Yasuaki; Aoyagi, Hiroyuki; Imagawa, Atsushi; Kodaira, Junichi; Mitsui, Shinya; Kobayashi, Nozomu; Muto, Manabu; Takatori, Hajime; Abe, Takashi; Tsujii, Masahiko; Watari, Jiro; Ishiyama, Shuhei; Oda, Ichiro; Ono, Hiroyuki; Kaneko, Kazuhiro; Yokoi, Chizu; Ueo, Tetsuya; Uchita, Kunihisa; Matsumoto, Kenshi; Kanesaka, Takashi; Morita, Yoshinori; Katsuki, Shinichi; Nishikawa, Jun; Inamura, Katsuhisa; Kinjo, Tetsu; Yamamoto, Katsumi; Yoshimura, Daisuke; Araki, Hiroshi; Kashida, Hiroshi; Hosokawa, Ayumu; Mori, Hirohito; Yamashita, Haruhiro; Motohashi, Osamu; Kobayashi, Kazuhiko; Hirayama, Michiaki; Kobayashi, Hiroyuki; Endo, Masaki; Yamano, Hiroo; Murakami, Kazunari; Koike, Tomoyuki; Hirasawa, Kingo; Miyaoka, Youichi; Hamamoto, Hidetaka; Hikichi, Takuto; Hanabata, Norihiro; Shimoda, Ryo; Hori, Shinichiro; Sato, Tadashi; Kodashima, Shinya; Okada, Hiroyuki; Mannami, Tomohiko; Yamamoto, Shojiro; Niwa, Yasumasa; Yashima, Kazuo; Tanabe, Satoshi; Satoh, Hiro; Sasaki, Fumisato; Yamazato, Tetsuro; Ikeda, Yoshiou; Nishisaki, Hogara; Nakagawa, Masahiro; Matsuda, Akio; Tamura, Fumio; Nishiyama, Hitoshi; Arita, Keiko; Kawasaki, Keisuke; Hoppo, Kazushige; Oka, Masashi; Ishihara, Shinichi; Mukasa, Michita; Minamino, Hiroaki; Yao, Kenshi

2017-10-01

Background and study aim  Magnifying narrow-band imaging (M-NBI) is useful for the accurate diagnosis of early gastric cancer (EGC). However, acquiring skill at M-NBI diagnosis takes substantial effort. An Internet-based e-learning system to teach endoscopic diagnosis of EGC using M-NBI has been developed. This study evaluated its effectiveness. Participants and methods  This study was designed as a multicenter randomized controlled trial. We recruited endoscopists as participants from all over Japan. After completing Test 1, which consisted of M-NBI images of 40 gastric lesions, participants were randomly assigned to the e-learning or non-e-learning groups. Only the e-learning group was allowed to access the e-learning system. After the e-learning period, both groups received Test 2. The analysis set was participants who scored < 80 % accuracy on Test 1. The primary end point was the difference in accuracy between Test 1 and Test 2 for the two groups. Results  A total of 395 participants from 77 institutions completed Test 1 (198 in the e-learning group and 197 in the non-e-learning group). After the e-learning period, all 395 completed Test 2. The analysis sets were e-learning group: n = 184; and non-e-learning group: n = 184. The mean Test 1 score was 59.9 % for the e-learning group and 61.7 % for the non-e-learning group. The change in accuracy in Test 2 was significantly higher in the e-learning group than in the non-e-learning group (7.4 points vs. 0.14 points, respectively; P  < 0.001). Conclusion This study clearly demonstrated the efficacy of the e-learning system in improving practitioners' capabilities to diagnose EGC using M-NBI.Trial registered at University Hospital Medical Information Network Clinical Trials Registry (UMIN000008569). © Georg Thieme Verlag KG Stuttgart · New York.

Supporting Social Constructivist Learning through the KEEP SLS ePortfolio System

ERIC Educational Resources Information Center

Zhang, Xuesong; Olfman, Lorne; Firpo, Daniel

2010-01-01

Traditional ePortfolio systems are usually used as an individual learning unit, or an assessment tool in education. However, these systems often lack social constructivist learning features such as sharing, peer review, and group collaboration. This paper describes a new ePortfolio system that supports both personal and social constructivist…

Conversational Agents in E-Learning

NASA Astrophysics Data System (ADS)

Kerry, Alice; Ellis, Richard; Bull, Susan

This paper discusses the use of natural language or 'conversational' agents in e-learning environments. We describe and contrast the various applications of conversational agent technology represented in the e-learning literature, including tutors, learning companions, language practice and systems to encourage reflection. We offer two more detailed examples of conversational agents, one which provides learning support, and the other support for self-assessment. Issues and challenges for developers of conversational agent systems for e-learning are identified and discussed.

An Effective Profile Based Video Browsing System for e-Learning

ERIC Educational Resources Information Center

Premaratne, S. C.; Karunaratna, D. D.; Hewagamage, K. P.

2007-01-01

E-learning has acquired a prime place in many discussions recently. A number of research efforts around the world are trying to enhance education and training through improving e-learning facilities. This paper briefly explains one such attempt aimed at designing a system to support video clips in e-learning and explains how profiles of the…

Using a Recommendation System to Support Problem Solving and Case-Based Reasoning Retrieval

ERIC Educational Resources Information Center

Tawfik, Andrew A.; Alhoori, Hamed; Keene, Charles Wayne; Bailey, Christian; Hogan, Maureen

2018-01-01

In case library learning environments, learners are presented with an array of narratives that can be used to guide their problem solving. However, according to theorists, learners struggle to identify and retrieve the optimal case to solve a new problem. Given the challenges novice face during case retrieval, recommender systems can be embedded…

Focus On: Neurotransmitter Systems

PubMed Central

Valenzuela, C. Fernando; Puglia, Michael P.; Zucca, Stefano

2011-01-01

Neurotransmitter systems have been long recognized as important targets of the developmental actions of alcohol (i.e., ethanol). Short- and long-term effects of ethanol on amino acid (e.g., γ-aminobutyric acid and glutamate) and biogenic amine (e.g., serotonin and dopamine) neurotransmitters have been demonstrated in animal models of fetal alcohol spectrum disorders (FASD). Researchers have detected ethanol effects after exposure during developmental periods equivalent to the first, second, and third trimesters of human pregnancy. Results support the recommendation that pregnant women should abstain from drinking—even small quantities—as effects of ethanol on neurotransmitter systems have been detected at low levels of exposure. Recent studies have elucidated new mechanisms and/or consequences of the actions of ethanol on amino acid and biogenic amine neurotransmitter systems. Alterations in these neurotransmitter systems could, in part, be responsible for many of the conditions associated with FASD, including (1) learning, memory, and attention deficits; (2) motor coordination impairments; (3) abnormal responsiveness to stress; and (4) increased susceptibility to neuropsychiatric disorders, such as substance abuse and depression, and also neurological disorders, such as epilepsy and sudden infant death syndrome. However, future research is needed to conclusively establish a causal relationship between these conditions and developmental dysfunctions in neurotransmitter systems. PMID:23580048

Research Data Alliance: Understanding Big Data Analytics Applications in Earth Science

NASA Astrophysics Data System (ADS)

Riedel, Morris; Ramachandran, Rahul; Baumann, Peter

2014-05-01

The Research Data Alliance (RDA) enables data to be shared across barriers through focused working groups and interest groups, formed of experts from around the world - from academia, industry and government. Its Big Data Analytics (BDA) interest groups seeks to develop community based recommendations on feasible data analytics approaches to address scientific community needs of utilizing large quantities of data. BDA seeks to analyze different scientific domain applications (e.g. earth science use cases) and their potential use of various big data analytics techniques. These techniques reach from hardware deployment models up to various different algorithms (e.g. machine learning algorithms such as support vector machines for classification). A systematic classification of feasible combinations of analysis algorithms, analytical tools, data and resource characteristics and scientific queries will be covered in these recommendations. This contribution will outline initial parts of such a classification and recommendations in the specific context of the field of Earth Sciences. Given lessons learned and experiences are based on a survey of use cases and also providing insights in a few use cases in detail.

Research Data Alliance: Understanding Big Data Analytics Applications in Earth Science

NASA Technical Reports Server (NTRS)

Riedel, Morris; Ramachandran, Rahul; Baumann, Peter

2014-01-01

The Research Data Alliance (RDA) enables data to be shared across barriers through focused working groups and interest groups, formed of experts from around the world - from academia, industry and government. Its Big Data Analytics (BDA) interest groups seeks to develop community based recommendations on feasible data analytics approaches to address scientific community needs of utilizing large quantities of data. BDA seeks to analyze different scientific domain applications (e.g. earth science use cases) and their potential use of various big data analytics techniques. These techniques reach from hardware deployment models up to various different algorithms (e.g. machine learning algorithms such as support vector machines for classification). A systematic classification of feasible combinations of analysis algorithms, analytical tools, data and resource characteristics and scientific queries will be covered in these recommendations. This contribution will outline initial parts of such a classification and recommendations in the specific context of the field of Earth Sciences. Given lessons learned and experiences are based on a survey of use cases and also providing insights in a few use cases in detail.

Educational Application of Dialogue System To Support e-Learning.

ERIC Educational Resources Information Center

Kim, Youn-Gi; Lee, Chul-Hwan; Han, Sun-Gwan

This study is on the design and implementation of an educational dialogue system to support e-learning. The learning domain to apply the dialogue system used the subject of geometry. The knowledge in the dialogue-based system for learning geometry was created and represented by XML-based AIML. The implemented system in this study can understand…

Recommended system of application and development

NASA Astrophysics Data System (ADS)

Wang, Wei

2018-04-01

A recommender system is a project that helps users identify their wishes and needs. The recommender system has been successfully applied to many e-commerce environments, such as news, film, music, books and other areas of recommendation. This paper mainly discusses the application of recommendation technology in software engineering, data and knowledge engineering, configurable projects and persuasion technology, and summarizes the development trend of recommendation technology in the future.

PERSO: Towards an Adaptive e-Learning System

ERIC Educational Resources Information Center

Chorfi, Henda; Jemni, Mohamed

2004-01-01

In today's information technology society, members are increasingly required to be up to date on new technologies, particularly for computers, regardless of their background social situation. In this context, our aim is to design and develop an adaptive hypermedia e-learning system, called PERSO (PERSOnalizing e-learning system), where learners…

Assessing the Value of E-Learning Systems

ERIC Educational Resources Information Center

Levy, Yair

2006-01-01

"Assessing the Value of E-Learning Systems" provides an extensive literature review pulling theories from the field of information systems, psychology and cognitive sciences, distance and online learning, as well as marketing and decision sciences. This book provides empirical evidence for the power of measuring value in the context of e-learning…

A User-Centric Adaptive Learning System for E-Learning 2.0

ERIC Educational Resources Information Center

Huang, Shiu-Li; Shiu, Jung-Hung

2012-01-01

The success of Web 2.0 inspires e-learning to evolve into e-learning 2.0, which exploits collective intelligence to achieve user-centric learning. However, searching for suitable learning paths and content for achieving a learning goal is time consuming and troublesome on e-learning 2.0 platforms. Therefore, introducing formal learning in these…

PELS: A Noble Architecture and Framework for a Personal E-Learning System (PELS)

ERIC Educational Resources Information Center

Dewan, Jahangir; Chowdhury, Morshed; Batten, Lynn

2014-01-01

This article presents a personal e-learning system architecture in the context of a social network environment. The main objective of a personal e-learning system is to develop individual skills on a specific subject and share resources with peers. The authors' system architecture defines the organisation and management of a personal learning…

Critical Success Factors for E-Learning in Developing Countries: A Comparative Analysis between ICT Experts and Faculty

ERIC Educational Resources Information Center

Bhuasiri, Wannasiri; Xaymoungkhoun, Oudone; Zo, Hangjung; Rho, Jae Jeung; Ciganek, Andrew P.

2012-01-01

This study identifies the critical success factors that influence the acceptance of e-learning systems in developing countries. E-learning is a popular mode of delivering educational materials in higher education by universities throughout the world. This study identifies multiple factors that influence the success of e-learning systems from the…

Organizational Factors' Effects on the Success of E-Learning Systems and Organizational Benefits: An Empirical Study in Taiwan

ERIC Educational Resources Information Center

Liu, Ying Chieh; Huang, Yu-An; Lin, Chad

2012-01-01

E-learning development for enterprises is still in its infancy in that scholars are still working on identifying the critical success factors for e-learning in organizational contexts. This study presents a framework considering how organizational factors affect the quality and service of e-learning systems and how these factors influence…

Verbal and numerical consumer recommendations: switching between recommendation formats leads to preference inconsistencies.

PubMed

Maciejovsky, Boris; Budescu, David V

2013-06-01

Many Web sites provide consumers with product recommendations, which are typically presented by a sequence of verbal reviews and numerical ratings. In three experiments, we demonstrate that when participants switch between formats (e.g., from verbal to numerical), they are more prone to preference inconsistencies than when they aggregate the recommendations within the same format (e.g., verbal). When evaluating recommendations, participants rely primarily on central-location measures (e.g., mean) and less on other distribution characteristics (e.g., variance). We explain our findings within the theoretical framework of stimulus-response compatibility and we make practical recommendations for the design of recommendation systems and Web portals.

A Game Based e-Learning System to Teach Artificial Intelligence in the Computer Sciences Degree

ERIC Educational Resources Information Center

de Castro-Santos, Amable; Fajardo, Waldo; Molina-Solana, Miguel

2017-01-01

Our students taking the Artificial Intelligence and Knowledge Engineering courses often encounter a large number of problems to solve which are not directly related to the subject to be learned. To solve this problem, we have developed a game based e-learning system. The elected game, that has been implemented as an e-learning system, allows to…

Consultant's Playbook: A Survey of Pharmacy Consultant Experiences Among Hospitals In the University HealthSystem Consortium.

PubMed

Hicks, Dave; McCarthy, Bryan; Fanikos, John; Emamifar, Amir; Nedved, Andrea; Thompson, Bruce; Bender, Fred; McMahon, Patrick

2013-10-01

Our team surveyed a group of pharmacy directors to learn about their experiences with pharmacy consultants so that the directors might be able to use their consulting resources in a more effective manner. In May 2012, the University HealthSystem Consortium (UHC) Pharmacy Council Financial Performance Committee developed an electronic survey that collectively measured the characteristics, goals, and methodology of historical pharmacy consultant engagements and level of satisfaction. After e-mailing the initial electronic survey, we conducted follow-up telephone interviews with respondents from July through November 2012. These interviews were designed to include questions about expected outcomes, recommendations for evaluation processes, timelines for implementing the recommendations, consultants' expenses, and insights gained. A total of 23 pharmacy directors responded to the initial electronic survey; their organizations had engaged at least one consultant within the previous 5 years. Data were collected for 28 consultant engagements. Subsequent telephone interviews were conducted with 20 of the 23 pharmacy directors (87%) who completed the initial electronic survey, accounting for 25 of the 28 consultant engagements (89%). Cost reduction along with revenue enhancement was most often the focus of these engagements. These engagements were also mainly within the scope of an organization-wide effort initiated by the executive board or executive team. Consultant experiences varied greatly in terms of (1) the degree to which assistance was provided to the organization, (2) benchmarking methodologies and resources, and (3) timelines for implementing the consultants' recommendations. In general, most respondents rated their consultant experience as positive and were able to provide "pearls of wisdom" or lessons learned.

Looking under the Bonnet: Factors Affecting Student Adoption of E-Learning Systems in Jordan

ERIC Educational Resources Information Center

Abbad, Muneer Mahmood; Morris, David; de Nahlik, Carmel

2009-01-01

The primary questions addressed in this paper are the following: what are the factors that affect students' adoption of an e-learning system and what are the relationships among these factors? This paper investigates and identifies some of the major factors affecting students' adoption of an e-learning system in a university in Jordan. E-learning…

Adaptive Device Context Based Mobile Learning Systems

ERIC Educational Resources Information Center

Pu, Haitao; Lin, Jinjiao; Song, Yanwei; Liu, Fasheng

2011-01-01

Mobile learning is e-learning delivered through mobile computing devices, which represents the next stage of computer-aided, multi-media based learning. Therefore, mobile learning is transforming the way of traditional education. However, as most current e-learning systems and their contents are not suitable for mobile devices, an approach for…

Creating Usage Context-Based Object Similarities to Boost Recommender Systems in Technology Enhanced Learning

ERIC Educational Resources Information Center

Niemann, Katja; Wolpers, Martin

2015-01-01

In this paper, we introduce a new way of detecting semantic similarities between learning objects by analysing their usage in web portals. Our approach relies on the usage-based relations between the objects themselves rather then on the content of the learning objects or on the relations between users and learning objects. We then take this new…

An Automatic and Dynamic Approach for Personalized Recommendation of Learning Objects Considering Students Learning Styles: An Experimental Analysis

ERIC Educational Resources Information Center

Dorça, Fabiano A.; Araújo, Rafael D.; de Carvalho, Vitor C.; Resende, Daniel T.; Cattelan, Renan G.

2016-01-01

Content personalization in educational systems is an increasing research area. Studies show that students tend to have better performances when the content is customized according to his/her preferences. One important aspect of students particularities is how they prefer to learn. In this context, students learning styles should be considered, due…

Effects of a case-based interactive e-learning course on knowledge and attitudes about patient safety: a quasi-experimental study with third-year medical students.

PubMed

Gaupp, Rainer; Körner, Mirjam; Fabry, Götz

2016-07-11

Patient safety (PS) is influenced by a set of factors on various levels of the healthcare system. Therefore, a systems-level approach and systems thinking is required to understand and improve PS. The use of e-learning may help to develop a systems thinking approach in medical students, as case studies featuring audiovisual media can be used to visualize systemic relationships in organizations. The goal of this quasi-experimental study was to determine if an e-learning can be utilized to improve systems thinking, knowledge, and attitudes towards PS. A quasi-experimental, longitudinal within- subjects design was employed. Participants were 321 third-year medical students who received online surveys before and after they participated in an e-learning course on PS. Primary outcome measures where levels of systems thinking and attitudes towards PS. Secondary outcome measures were the improvement of PS specific knowledge through the e-learning course. Levels of systems thinking showed significant improvement (58.72 vs. 61.27; p < .001) after the e-learning. Student's attitudes towards patient safety improved in several dimensions: After the course, students rated the influence of fatigue on safety higher (6.23 vs. 6.42, p < .01), considered patient empowerment more important (5.16 vs. 5.93, p < .001) and realized more often that human error is inevitable (5.75 vs. 5.97, p < .05). Knowledge on PS improved from 36.27 % correct answers before to 76.45 % after the e-learning (p < .001). Our results suggest that e-learning can be used to teach PS. Attitudes towards PS improved on several dimensions. Furthermore, we were able to demonstrate that a specifically designed e-learning program can foster the development of conceptual frameworks such as systems thinking, which facilitates the understanding of complex socio-technical systems within healthcare organisations.

IVHS Institutional Issues and Case Studies, Analysis and Lessons Learned, Final Report

DOT National Transportation Integrated Search

1994-04-01

This 'Analysis and Lessons Learned' report contains observations, conclusions, and recommendations based on the performance of six case studies of Intelligent Vehicle-Highway Systems (IVHS) projects. Information to support the development of the case...

The Learning Healthcare System and Cardiovascular Care: A Scientific Statement From the American Heart Association.

PubMed

Maddox, Thomas M; Albert, Nancy M; Borden, William B; Curtis, Lesley H; Ferguson, T Bruce; Kao, David P; Marcus, Gregory M; Peterson, Eric D; Redberg, Rita; Rumsfeld, John S; Shah, Nilay D; Tcheng, James E

2017-04-04

The learning healthcare system uses health information technology and the health data infrastructure to apply scientific evidence at the point of clinical care while simultaneously collecting insights from that care to promote innovation in optimal healthcare delivery and to fuel new scientific discovery. To achieve these goals, the learning healthcare system requires systematic redesign of the current healthcare system, focusing on 4 major domains: science and informatics, patient-clinician partnerships, incentives, and development of a continuous learning culture. This scientific statement provides an overview of how these learning healthcare system domains can be realized in cardiovascular disease care. Current cardiovascular disease care innovations in informatics, data uses, patient engagement, continuous learning culture, and incentives are profiled. In addition, recommendations for next steps for the development of a learning healthcare system in cardiovascular care are presented. © 2017 American Heart Association, Inc.

Empirical Validation of the Importance of Employees' Learning Motivation for Workplace E-Learning in Taiwanese Organisations

ERIC Educational Resources Information Center

Chen, Hsiu-Ju; Kao, Chia-Hung

2012-01-01

E-learning systems, adopted by organisations for employee training to enhance employees' performance, are characterised by self-directed, autonomous learning. Learning motivation is then of importance in the design of e-learning practices in workplace. However, empirical study of the alignment of e-learning with individual learning needs and…

Inclusive E-Learning - Towards an Integrated System Design.

PubMed

Patzer, Yasmin; Pinkwart, Niels

2017-01-01

At first sight there seem to be issues combining technical accessibility guidelines and educational needs when designing inclusive E-Learning. Furthermore Universal Design for Learning seems to contradict individualization. In this paper we address both issues with an inclusive E-Learning design for the LAYA system, which targets disabled and non-disabled learners.

Building a Critical Components for Successful Multimedia-Based Collaborative eLearning Design Framework

ERIC Educational Resources Information Center

Asanok, M.; Kitrakan, P.; Brahmawong, C.

2008-01-01

With newly developing multimedia and web-based technologies have provided opportunities of developing a multimedia-based collaborative eLearning systems. The development of eLearning systems has started a revolution for instructional content delivering, learning activities and social communication. Based on various positions on this issue have…

Choosing Learning Methods Suitable for Teaching and Learning in Computer Science

ERIC Educational Resources Information Center

Taylor, Estelle; Breed, Marnus; Hauman, Ilette; Homann, Armando

2013-01-01

Our aim is to determine which teaching methods students in Computer Science and Information Systems prefer. There are in total 5 different paradigms (behaviorism, cognitivism, constructivism, design-based and humanism) with 32 models between them. Each model is unique and states different learning methods. Recommendations are made on methods that…

An Empirical Examination of Individual and System Characteristics on Enhancing E-Learning Acceptance

ERIC Educational Resources Information Center

Lee, Yi-Hsuan; Hsiao, Chan; Purnomo, Sutrisno Hadi

2014-01-01

Due to the continued prevalence of e-learning underutilization in Indonesia's higher education context, this study empirically examines individual and system characteristics believed to influence students' acceptance of e-learning systems. The proposed research model is developed to examine the influence of five characteristics of the Technology…

Evaluation Criterion for Quality Assessment of E-Learning Content

ERIC Educational Resources Information Center

Al-Alwani, Abdulkareem

2014-01-01

Research trends related to e-learning systems are oriented towards increasing the efficiency and capacity of the systems, thus they reflect a large variance in performance when considering content conformity and quality standards. The Framework related to standardisation of digital content for e-learning systems is likely to play a significant…

An e-Learning Theoretical Framework

ERIC Educational Resources Information Center

Aparicio, Manuela; Bacao, Fernando; Oliveira, Tiago

2016-01-01

E-learning systems have witnessed a usage and research increase in the past decade. This article presents the e-learning concepts ecosystem. It summarizes the various scopes on e-learning studies. Here we propose an e-learning theoretical framework. This theory framework is based upon three principal dimensions: users, technology, and services…

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

PubMed

Gong, Tao; Ding, Yongsheng; Xiong, Qin

2014-05-01

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

Choice of outcomes and measurement instruments in randomised trials on eLearning in medical education: a systematic mapping review protocol.

PubMed

Law, Gloria C; Apfelbacher, Christian; Posadzki, Pawel P; Kemp, Sandra; Tudor Car, Lorainne

2018-05-17

There will be a lack of 18 million healthcare workers by 2030. Multiplying the number of well-trained healthcare workers through innovative ways such as eLearning is highly recommended in solving this shortage. However, high heterogeneity of learning outcomes in eLearning systematic reviews reveals a lack of consistency and agreement on core learning outcomes in eLearning for medical education. In addition, there seems to be a lack of validity evidence for measurement instruments used in these trials. This undermines the credibility of these outcome measures and affects the ability to draw accurate and meaningful conclusions. The aim of this research is to address this issue by determining the choice of outcomes, measurement instruments and the prevalence of measurement instruments with validity evidence in randomised trials on eLearning for pre-registration medical education. We will conduct a systematic mapping and review to identify the types of outcomes, the kinds of measurement instruments and the prevalence of validity evidence among measurement instruments in eLearning randomised controlled trials (RCTs) in pre-registration medical education. The search period will be from January 1990 until August 2017. We will consider studies on eLearning for health professionals' education. Two reviewers will extract and manage data independently from the included studies. Data will be analysed and synthesised according to the aim of the review. Appropriate choice of outcomes and measurement tools is essential for ensuring high-quality research in the field of eLearning and eHealth. The results of this study could have positive implications for other eHealth interventions, including (1) improving quality and credibility of eLearning research, (2) enhancing the quality of digital medical education and (3) informing researchers, academics and curriculum developers about the types of outcomes and validity evidence for measurement instruments used in eLearning studies. The protocol aspires to assist in the advancement of the eLearning research field as well as in the development of high-quality healthcare professionals' digital education. PROSPERO CRD42017068427.

Role of Radio and TV Programmes in Distance and Open Learning System: A Case of Bangladesh Open University.

ERIC Educational Resources Information Center

Karim, Salma; Kama, Mustafa Azad; Islam, Md. Mayenul

2001-01-01

Examines the role and effectiveness of radio and television programs in distance and open learning systems based on a survey of students at Bangladesh Open University. Offers recommendations for improvements, including extending the time span, ensuring the quality of presentations, teacher involvement, and audio and video cassette…

Consensus standards for introductory e-learning courses in human participants research ethics.

PubMed

Williams, John R; Sprumont, Dominique; Hirtle, Marie; Adebamowo, Clement; Braunschweiger, Paul; Bull, Susan; Burri, Christian; Czarkowski, Marek; Fan, Chien Te; Franck, Caroline; Gefenas, Eugenjius; Geissbuhler, Antoine; Klingmann, Ingrid; Kouyaté, Bocar; Kraehenbhul, Jean-Pierre; Kruger, Mariana; Moodley, Keymanthri; Ntoumi, Francine; Nyirenda, Thomas; Pym, Alexander; Silverman, Henry; Tenorio, Sara

2014-06-01

This paper reports the results of a workshop held in January 2013 to begin the process of establishing standards for e-learning programmes in the ethics of research involving human participants that could serve as the basis of their evaluation by individuals and groups who want to use, recommend or accredit such programmes. The standards that were drafted at the workshop cover the following topics: designer/provider qualifications, learning goals, learning objectives, content, methods, assessment of participants and assessment of the course. The authors invite comments on the draft standards and eventual endorsement of a final version by all stakeholders. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.

On the Use of Extended TAM to Assess Students' Acceptance and Intent to Use Third-Generation Learning Management Systems

ERIC Educational Resources Information Center

Ros, Salvador; Hernández, Roberto; Caminero, Agustín; Robles, Antonio; Barbero, Isabel; Maciá, Araceli; Holgado, Francisco Pablo

2015-01-01

Service-oriented e-learning platforms can be considered as a third generation of learning management systems (LMSs). As opposed to the previous generations, consisting of ad hoc solutions and traditional LMS, this new technology contemplates e-learning systems as services that can be integrated into different learning scenarios. This paper shows…

Harnessing the Power of Learning Management Systems: An E-Learning Approach for Professional Development.

PubMed

White, Meagan; Shellenbarger, Teresa

E-learning provides an alternative approach to traditional professional development activities. A learning management system may help nursing professional development practitioners deliver content more efficiently and effectively; however, careful consideration is needed during planning and implementation. This article provides essential information in the selection and use of a learning management system for professional development.

The Neurodevelopmental Evaluation in a Private Pediatric Setting.

ERIC Educational Resources Information Center

Fomalont, Robert

1986-01-01

A comprehensive neurodevelopment evaluation technique known as PEERAMID is recommended for pediatricians in the evaluation of learning disabilities. This multifaceted system assesses the learning process individually, analyzing: minor neurological indicators, fine and gross motor function, language ability, temporal-sequential organization,…

Collective-Intelligence Recommender Systems: Advancing Computer Tailoring for Health Behavior Change Into the 21st Century.

PubMed

Sadasivam, Rajani Shankar; Cutrona, Sarah L; Kinney, Rebecca L; Marlin, Benjamin M; Mazor, Kathleen M; Lemon, Stephenie C; Houston, Thomas K

2016-03-07

What is the next frontier for computer-tailored health communication (CTHC) research? In current CTHC systems, study designers who have expertise in behavioral theory and mapping theory into CTHC systems select the variables and develop the rules that specify how the content should be tailored, based on their knowledge of the targeted population, the literature, and health behavior theories. In collective-intelligence recommender systems (hereafter recommender systems) used by Web 2.0 companies (eg, Netflix and Amazon), machine learning algorithms combine user profiles and continuous feedback ratings of content (from themselves and other users) to empirically tailor content. Augmenting current theory-based CTHC with empirical recommender systems could be evaluated as the next frontier for CTHC. The objective of our study was to uncover barriers and challenges to using recommender systems in health promotion. We conducted a focused literature review, interviewed subject experts (n=8), and synthesized the results. We describe (1) limitations of current CTHC systems, (2) advantages of incorporating recommender systems to move CTHC forward, and (3) challenges to incorporating recommender systems into CTHC. Based on the evidence presented, we propose a future research agenda for CTHC systems. We promote discussion of ways to move CTHC into the 21st century by incorporation of recommender systems.

Collective-Intelligence Recommender Systems: Advancing Computer Tailoring for Health Behavior Change Into the 21st Century

PubMed Central

Cutrona, Sarah L; Kinney, Rebecca L; Marlin, Benjamin M; Mazor, Kathleen M; Lemon, Stephenie C; Houston, Thomas K

2016-01-01

Background What is the next frontier for computer-tailored health communication (CTHC) research? In current CTHC systems, study designers who have expertise in behavioral theory and mapping theory into CTHC systems select the variables and develop the rules that specify how the content should be tailored, based on their knowledge of the targeted population, the literature, and health behavior theories. In collective-intelligence recommender systems (hereafter recommender systems) used by Web 2.0 companies (eg, Netflix and Amazon), machine learning algorithms combine user profiles and continuous feedback ratings of content (from themselves and other users) to empirically tailor content. Augmenting current theory-based CTHC with empirical recommender systems could be evaluated as the next frontier for CTHC. Objective The objective of our study was to uncover barriers and challenges to using recommender systems in health promotion. Methods We conducted a focused literature review, interviewed subject experts (n=8), and synthesized the results. Results We describe (1) limitations of current CTHC systems, (2) advantages of incorporating recommender systems to move CTHC forward, and (3) challenges to incorporating recommender systems into CTHC. Based on the evidence presented, we propose a future research agenda for CTHC systems. Conclusions We promote discussion of ways to move CTHC into the 21st century by incorporation of recommender systems. PMID:26952574

Test of e-Learning Related Attitudes (TeLRA) Scale: Development, Reliability and Validity Study

ERIC Educational Resources Information Center

Kisanga, D. H.; Ireson, G.

2016-01-01

The Tanzanian education system is in transition from face-to-face classroom learning to e-learning. E-learning is a new learning approach in Tanzanian Higher Learning Institutions [HLIs] and with teachers being the key stakeholders of all formal education, investigating their attitude towards e-learning is essential. So far, however, there has…

PESTE Factors in Developing a Framework for E-Learning

ERIC Educational Resources Information Center

Graham, Deryn

2007-01-01

This article describes the development of a framework for e-learning and presents the findings of a study investigating whether the use of blended learning can fulfil or at least accommodate some of the human requirements presently neglected by current e-learning systems. The study evaluated the in-house system, Teachmat, and discussed how the use…

Computer Attitude and eLearning Self-Efficacy of Undergraduate Students: Validating Potential Acceptance and Use of Online Learning Systems in Ghana

ERIC Educational Resources Information Center

Larbi-Apau, Josephine; Oti-Boadi, Mabel; Tetteh, Albert

2018-01-01

Both computer attitude and eLearning self-efficacy are critical complementary factors in determining confidence levels and behavioral belief systems, and can directly affect students' actions, performances and achievements. This study applied a multidimensional construct in validating computer attitude and eLearning self-efficacy of Psychology…

Categorising E-Learning

ERIC Educational Resources Information Center

Wilson, Amy D.

2012-01-01

Categorising e-learning is almost as problematic as defining the term. In an attempt to quantify/qualify the level of e-learning use in the tertiary sector in New Zealand, the Ministry of Education (MoE) established a classification system for courses in the tertiary sector. The value of this tool was disputed, and a new system was proposed but…

Integration of the e-Learning into the medical university curricula.

PubMed

Rusnakova, V; Bacharova, L; Simo, J; Krcmeryova, T; Finka, M; Kovac, R

2012-01-01

The aim of this contribution was to present the e-Learning introduction in the Slovak Medical University (SMU) with a focus on the implementation phase of the two blended courses - Healthcare Quality and Healthcare Professionals' Ethics. The introduction of the e-Learning was realized during the period 2008-2009 in the partnership of SMU and IBM Company, following strictly the project management approach. The development of the e-module beta-versions was evaluated by the modules' authors using a structured interview. In a consequent pilot testing, the blended courses were evaluated by 23 students of the bachelor program in Rescue health care, and by 61 public health students at the master level program, respectively, using the standardized questionnaires. The tangible results included the documented SMU strategy for the e-Learning integration, six e-Learning modules and evaluation results. The authors' evaluation showed high scores for the experience in collaboration with IBM, as well as for the experience with the LMS environment. The students' evaluation showed a high acceptance of the e-Learning by both part-time and full-time students. The access to Internet was not recognized as a serious barrier. The first experience with the integration of the e-Learning into the curricula of the Slovak Medical University showed the advantage of the systematic approach. The experience with developing the strategy in an interdisciplinary/ intercultural team, the knowledge about specific characteristics of distance learning by the involved SMU staff, and the know-how and skills represented the important benefits. It was demonstrated that the blended learning is recommended as optimal for the education in medical environment (Tab. 4, Fig. 1, Ref. 22).

New perspectives on health professions students' e-learning: Looking through the lens of the "visitor and resident" model.

PubMed

Druce, Maralyn; Howden, Stella

2017-07-01

The growth of e-learning in health professional education reflects expansion of personal use of online resources. Understanding the user perspective in a fast-changing digital world is essential to maintain the currency of our approach. Mixed methods were used to investigate a cohort of postgraduate, e-learning healthcare students' perspectives on their use of online resources for personal and/or professional roles, via questionnaire and student-constructed diagrams, capturing use of online resources (underpinned by White's model of "resident" and "visitor" online engagement). Semistructured interviews explored the use and value of resources afforded via the online environment. The 45 study participants described a range of prior experiences with online resources in personal and professional capacities, but overall students tended to use online "tools" ("visitor" mode) rather than highly collaborative networks ("resident" mode). In relation to e-learning, the dominant interview theme was valuing knowledge transfer from the tutor and using "visitor" behaviors to maximize knowledge acquisition. Peer-learning opportunities were less valued and barriers to collaborative "resident" modes were identified. These findings help to inform e-learning course design to promote engagement. The results enable recommendations for use of the "Visitor and Residents" model and for planning activities that learners might utilize effectively.

A Lecture Supporting System Based on Real-Time Learning Analytics

ERIC Educational Resources Information Center

Shimada, Atsushi; Konomi, Shin'ichi

2017-01-01

A new lecture supporting system based on real-time learning analytics is proposed. Our target is on-site classrooms where teachers give their lectures, and a lot of students listen to teachers' explanation, conduct exercises etc. We utilize not only an e-Learning system, but also an e-Book system to collect real-time learning activities during the…

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,…

A SCORM Thin Client Architecture for E-Learning Systems Based on Web Services

ERIC Educational Resources Information Center

Casella, Giovanni; Costagliola, Gennaro; Ferrucci, Filomena; Polese, Giuseppe; Scanniello, Giuseppe

2007-01-01

In this paper we propose an architecture of e-learning systems characterized by the use of Web services and a suitable middleware component. These technical infrastructures allow us to extend the system with new services as well as to integrate and reuse heterogeneous software e-learning components. Moreover, they let us better support the…

Using Finance Policy To Reduce Barriers to Distance Learning. A Report and Recommendations in a Series on Distance Learning Policy Issues.

ERIC Educational Resources Information Center

Southern Regional Education Board, Atlanta, GA.

This study explored the ways in which state and system financing policies can advance the use of distance learning technologies and the goals outlined in other reports by the Distance Learning Policy Laboratory more effectively. The subcommittee on finance that examined the issue approached the task by establishing a framework that considered:…

Learning management system and e-learning tools: an experience of medical students' usage and expectations.

PubMed

Back, David A; Behringer, Florian; Haberstroh, Nicole; Ehlers, Jan P; Sostmann, Kai; Peters, Harm

2016-08-20

To investigate medical students´ utilization of and problems with a learning management system and its e-learning tools as well as their expectations on future developments. A single-center online survey has been carried out to investigate medical students´ (n = 505) usage and perception concerning the learning management system Blackboard, and provided e-learning tools. Data were collected with a standardized questionnaire consisting of 70 items and analyzed by quantitative and qualitative methods. The participants valued lecture notes (73.7%) and Wikipedia (74%) as their most important online sources for knowledge acquisition. Missing integration of e-learning into teaching was seen as the major pitfall (58.7%). The learning management system was mostly used for study information (68.3%), preparation of exams (63.3%) and lessons (54.5%). Clarity (98.3%), teaching-related contexts (92.5%) and easy use of e-learning offers (92.5%) were rated highest. Interactivity was most important in free-text comments (n = 123). It is desired that contents of a learning management system support an efficient learning. Interactivity of tools and their conceptual integration into face-to-face teaching are important for students. The learning management system was especially important for organizational purposes and the provision of learning materials. Teachers should be aware that free online sources such as Wikipedia enjoy a high approval as source of knowledge acquisition. This study provides an empirical basis for medical schools and teachers to improve their offerings in the field of digital learning for their students.

Learning management system and e-learning tools: an experience of medical students' usage and expectations

PubMed Central

Back, David A.; Behringer, Florian; Haberstroh, Nicole; Ehlers, Jan P.; Sostmann, Kai

2016-01-01

Objectives To investigate medical students´ utilization of and problems with a learning management system and its e-learning tools as well as their expectations on future developments. Methods A single-center online survey has been carried out to investigate medical students´ (n = 505) usage and perception concerning the learning management system Blackboard, and provided e-learning tools. Data were collected with a standardized questionnaire consisting of 70 items and analyzed by quantitative and qualitative methods. Results The participants valued lecture notes (73.7%) and Wikipedia (74%) as their most important online sources for knowledge acquisition. Missing integration of e-learning into teaching was seen as the major pitfall (58.7%). The learning management system was mostly used for study information (68.3%), preparation of exams (63.3%) and lessons (54.5%). Clarity (98.3%), teaching-related contexts (92.5%) and easy use of e-learning offers (92.5%) were rated highest. Interactivity was most important in free-text comments (n = 123). Conclusions It is desired that contents of a learning management system support an efficient learning. Interactivity of tools and their conceptual integration into face-to-face teaching are important for students. The learning management system was especially important for organizational purposes and the provision of learning materials. Teachers should be aware that free online sources such as Wikipedia enjoy a high approval as source of knowledge acquisition. This study provides an empirical basis for medical schools and teachers to improve their offerings in the field of digital learning for their students. PMID:27544782

Multimedia And Internetworking Architecture Infrastructure On Interactive E-Learning System

NASA Astrophysics Data System (ADS)

Indah, K. A. T.; Sukarata, G.

2018-01-01

Interactive e-learning is a distance learning method that involves information technology, electronic system or computer as one means of learning system used for teaching and learning process that is implemented without having face to face directly between teacher and student. A strong dependence on emerging technologies greatly influences the way in which the architecture is designed to produce a powerful interactive e-learning network. In this paper analyzed an architecture model where learning can be done interactively, involving many participants (N-way synchronized distance learning) using video conferencing technology. Also used broadband internet network as well as multicast techniques as a troubleshooting method for bandwidth usage can be efficient.

Antecedences to Continued Intentions of Adopting E-Learning System in Blended Learning Instruction: A Contingency Framework Based on Models of Information System Success and Task-Technology Fit

ERIC Educational Resources Information Center

Lin, Wen-Shan; Wang, Chun-Hsien

2012-01-01

The objective of this study is to propose a research framework that investigates the relation between perceived fit and system factors that can motivate learners in continuing utilizing an e-learning system in blended learning instruction. As learners have the face-to-face learning opportunity in interacting with lecturers, the study aims at…

Creating a professional development platform to transform social work clinical practice in health care.

PubMed

Xenakis, Nancy

2018-07-01

Since U.S. Congress' 2010 passing of the Affordable Care Act and the creation of numerous care coordination programs, Mount Sinai Hospital's Department of Social Work Services has experienced exponential growth. The Department is deeply committed to recruiting and developing the most talented social workers to best meet the needs of patients and family caregivers and to serve as integral, valued members of interdisciplinary care teams. Traditional learning methods are insufficient for a staff of hundreds, given the changes in health care and the complexity of the work. This necessitates the use of new training and education methods to maintain the quality of professional development. This article provides an overview of the Department's strategy and creation of a professional development learning platform to transform clinical social work practice. It reviews various education models that utilize an e-learning management system and case studies using standardized patients. These models demonstrate innovative learning approaches for both new and experienced social workers in health care. The platform's successes and challenges and recommendations for future development and sustainability are outlined.

Interactive machine learning for health informatics: when do we need the human-in-the-loop?

PubMed

Holzinger, Andreas

2016-06-01

Machine learning (ML) is the fastest growing field in computer science, and health informatics is among the greatest challenges. The goal of ML is to develop algorithms which can learn and improve over time and can be used for predictions. Most ML researchers concentrate on automatic machine learning (aML), where great advances have been made, for example, in speech recognition, recommender systems, or autonomous vehicles. Automatic approaches greatly benefit from big data with many training sets. However, in the health domain, sometimes we are confronted with a small number of data sets or rare events, where aML-approaches suffer of insufficient training samples. Here interactive machine learning (iML) may be of help, having its roots in reinforcement learning, preference learning, and active learning. The term iML is not yet well used, so we define it as "algorithms that can interact with agents and can optimize their learning behavior through these interactions, where the agents can also be human." This "human-in-the-loop" can be beneficial in solving computationally hard problems, e.g., subspace clustering, protein folding, or k-anonymization of health data, where human expertise can help to reduce an exponential search space through heuristic selection of samples. Therefore, what would otherwise be an NP-hard problem, reduces greatly in complexity through the input and the assistance of a human agent involved in the learning phase.

The most successful method in teaching nursing students infection control - E-learning or lecture?

PubMed

Reime, Marit Hegg; Harris, Anette; Aksnes, June; Mikkelsen, Jane

2008-10-01

Approximately 33% of all health care-associated infections are preventable. It is therefore important to provide training for nursing students about this topic. In collaboration with the local hospital, the Department of Nursing evaluated a newly developed e-learning program on infection control normally used among employees in the hospital but now tried in the setting of bachelor students. The students received learning goals for the course and were divided into two groups: one group used the e-learning program, and the other group had 3-h-long lectures. After the course they took a multiple-choice test. In addition, three focus groups were established. The students were satisfied with both teaching approaches. The lectures provided a good introduction to the recommended reading. The e-learning program was rated as good on design, academic content, and the integrated tests were motivating for their learning. Specific learning goals were found to be useful. Gender and age, depending on the teaching approach used, were significant in determining the results of the test, the same were the number of sources used in preparing for the test. E-learning has to be viewed as a resource in the same way as a lecture. It is important that the students are competent in ICT, because they will need to use this tool in their clinical practice. In addition, a degree level course needs to use many different teaching methods to achieve goals related to in-depth and superficial learning.

Exploring the roles of interaction and flow in explaining nurses' e-learning acceptance.

PubMed

Cheng, Yung-Ming

2013-01-01

To provide safe and competent patient care, it is very important that medical institutions should provide nurses with continuing education by using appropriate learning methods. As compared to traditional learning, electronic learning (e-learning) is a more flexible method for nurses' in-service learning. Hence, e-learning is expected to play a pivotal role in providing continuing education for nurses. This study's purpose was to explore the role and relevance of interaction factors, intrinsic motivator (i.e., flow), and extrinsic motivators (i.e., perceived usefulness (PU) and perceived ease of use (PEOU)) in explaining nurses' intention to use the e-learning system. Based on the technology acceptance model (TAM) with the flow theory, this study's research model presents three types of interaction factors, learner-system interaction, instructor-learner interaction, and learner-learner interaction to construct an extended TAM to explore nurses' intention to use the e-learning system. Sample data were gathered from nurses at two regional hospitals in Taiwan. A total of 320 questionnaires were distributed, 254 (79.375%) questionnaires were returned. Consequently, 218 usable questionnaires were analyzed in this study, with a usable response rate of 68.125%. First, confirmatory factor analysis was used to develop the measurement model. Second, to explore the causal relationships among all constructs, the structural model for the research model was tested by using structural equation modeling. First, learner-system interaction, instructor-learner interaction, and learner-learner interaction respectively had significant effects on PU, PEOU, and flow. Next, flow had significant effects on PU and PEOU, and PEOU had a significant effect on PU. Finally, the effects of flow, PU, and PEOU on intention to use were significant. Synthetically speaking, learner-system interaction, instructor-learner interaction, and learner-learner interaction can indirectly make significant impacts on nurses' usage intention of the e-learning system via their extrinsic motivators (i.e., PU and PEOU) and intrinsic motivator (i.e., flow). Copyright © 2012 Elsevier Ltd. All rights reserved.

Behavioral Feature Extraction to Determine Learning Styles in e-Learning Environments

ERIC Educational Resources Information Center

Fatahi, Somayeh; Moradi, Hadi; Farmad, Elaheh

2015-01-01

Learning Style (LS) is an important parameter in the learning process. Therefore, learning styles should be considered in the design, development, and implementation of e-learning environments. Consequently, an important capability of an e-learning system could be the automatic determination of a student's learning style. In this paper, a set of…

Student Response Systems and Learning: Perceptions of the Student.

PubMed

Benson, Jeryl D; Szucs, Kimberly A; Taylor, Meredith

2016-10-01

To assess student perception of learning and use of a student response system (SRS) as a teaching/learning strategy. Survey methods were used to explore student perceptions of learning and use of student response systems as a pedagogical strategy. Fifty-nine graduate students participated in the survey post completion of two graduate intervention courses. Overall, there was a positive response to the use of SRS's in the classroom. All of the students (100%) recommended the continued use of the clickers for various reasons. The primary benefit reported by students related to providing immediate feedback, the opportunity to manipulate and revisit the content, and the ability to check for understanding within a class session. Students recommended the continued use of the SRS in classes to support acquisition of content and exam preparation. The student reported technology difficulties as the only the negative to SRS use in the classroom. Instructor perception was that the addition of the SRS devices added a new way to interact with the students. Suggestions for incorporating the use of a SRS devices into classroom instruction are offered.

An Adaptive E-Learning System Based on Students' Learning Styles: An Empirical Study

ERIC Educational Resources Information Center

Drissi, Samia; Amirat, Abdelkrim

2016-01-01

Personalized e-learning implementation is recognized as one of the most interesting research areas in the distance web-based education. Since the learning style of each learner is different one must fit e-learning with the different needs of learners. This paper presents an approach to integrate learning styles into adaptive e-learning hypermedia.…

The Adjustment of National Education Systems to a Knowledge-Based Economy: A New Approach

ERIC Educational Resources Information Center

Nelson, Moira

2010-01-01

In his article "Globalisation, the Learning Society, and Comparative Education", Peter Jarvis recommends lifelong learning in the period of globalisation as a topic ripe for scholarly research. In particular, he argues for the examination of the extent of lifelong learning around the world and its relation to different levels of…

Launch Vehicle Propulsion Life Cycle Cost Lessons Learned

NASA Technical Reports Server (NTRS)

Zapata, Edgar; Rhodes, Russell E.; Robinson, John W.

2010-01-01

This paper will review lessons learned for space transportation systems from the viewpoint of the NASA, Industry and academia Space Propulsion Synergy Team (SPST). The paper provides the basic idea and history of "lessons learned". Recommendations that are extremely relevant to NASA's future investments in research, program development and operations are"'provided. Lastly, a novel and useful approach to documenting lessons learned is recommended, so as to most effectively guide future NASA investments. Applying lessons learned can significantly improve access to space for cargo or people by focusing limited funds on the right areas and needs for improvement. Many NASA human space flight initiatives have faltered, been re-directed or been outright canceled since the birth of the Space Shuttle program. The reasons given at the time have been seemingly unique. It will be shown that there are common threads as lessons learned in many a past initiative.

Effects of System's and User's Characteristics on E-Learning Use: A Study at Universiti Malaysia Sarawak

ERIC Educational Resources Information Center

Hong, Kian-Sam; Cheng, Julia Lee Ai; Liau, Tet-Loke

2005-01-01

The benefits of an e-learning system will not be maximised if learners do not use the system. This study was conducted with 26 postgraduate students at a faculty in Universiti Malaysia Sarawak taking an on-campus course supplemented with an e-learning system. The purpose of the study was to determine which factors were related to intention to use…

Assessing eLearning Systems Success in Nigeria: An Application of the DeLone and McLean Information Systems Success Model

ERIC Educational Resources Information Center

Yakubu, M. Nasiru; Dasuki, Salihu Ibrahim

2018-01-01

Aim/Purpose: This study is based on the DeLone and McLean's Information Systems Success (D&M ISS) model, which was modified to determine the success factors responsible for the acceptance of an e-learning system called Canvas by students of a Nigerian University. Background: The adoption of eLearning has been under studied within the context…

Adult Learning Principles and Presentation Pearls

PubMed Central

Palis, Ana G.; Quiros, Peter A.

2014-01-01

Although lectures are one of the most common methods of knowledge transfer in medicine, their effectiveness has been questioned. Passive formats, lack of relevance and disconnection from the student's needs are some of the arguments supporting this apparent lack of efficacy. However, many authors have suggested that applying adult learning principles (i.e., relevance, congruence with student's needs, interactivity, connection to student's previous knowledge and experience) to this method increases learning by lectures and the effectiveness of lectures. This paper presents recommendations for applying adult learning principles during planning, creation and development of lectures to make them more effective. PMID:24791101

Semantic Maps Capturing Organization Knowledge in e-Learning

NASA Astrophysics Data System (ADS)

Mavridis, Androklis; Koumpis, Adamantios; Demetriadis, Stavros N.

e-learning, shows much promise in accessibility and opportunity to learn, due to its asynchronous nature and its ability to transmit knowledge fast and effectively. However without a universal standard for online learning and teaching, many systems are proclaimed as “e-learning-compliant”, offering nothing more than automated services for delivering courses online, providing no additional enhancement to reusability and learner personalization. Hence, the focus is not on providing reusable and learner-centered content, but on developing the technology aspects of e-learning. This current trend has made it crucial to find a more refined definition of what constitutes knowledge in the e-learning context. We propose an e-learning system architecture that makes use of a knowledge model to facilitate continuous dialogue and inquiry-based knowledge learning, by exploiting the full benefits of the semantic web as a medium capable for supplying the web with formalized knowledge.

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

DTIC Science & Technology

2008-07-01

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

The Use of SDMs in Developing E-Learning Systems in South Africa

ERIC Educational Resources Information Center

Taylor, Estelle; van Aswegen, Kobus; Huisman, Magda

2014-01-01

The main focus of this study is to determine if systems development methodologies (SDMs) are being utilised in the development of electronic learning systems in South Africa. Electronic learning, or e-learning, is being employed to educate millions of learners, students and employees around the world and it is a critical component of modern…

A Multi-Agent Question-Answering System for E-Learning and Collaborative Learning Environment

ERIC Educational Resources Information Center

Alinaghi, Tannaz; Bahreininejad, Ardeshir

2011-01-01

The increasing advances of new Internet technologies in all application domains have changed life styles and interactions. E-learning and collaborative learning environment systems are originated through such changes and aim at providing facilities for people in different times and geographical locations to cooperate, collaborate, learn and work…

Developmental regulation of fear learning and anxiety behavior by endocannabinoids.

PubMed

Lee, T T-Y; Hill, M N; Lee, F S

2016-01-01

The developing brain undergoes substantial maturation into adulthood and the development of specific neural structures occurs on differing timelines. Transient imbalances between developmental trajectories of corticolimbic structures, which are known to contribute to regulation over fear learning and anxiety, can leave an individual susceptible to mental illness, particularly anxiety disorders. There is a substantial body of literature indicating that the endocannabinoid (eCB) system critically regulates stress responsivity and emotional behavior throughout the life span, making this system a novel therapeutic target for stress- and anxiety-related disorders. During early life and adolescence, corticolimbic eCB signaling changes dynamically and coincides with different sensitive periods of fear learning, suggesting that eCB signaling underlies age-specific fear learning responses. Moreover, perturbations to these normative fluctuations in corticolimbic eCB signaling, such as stress or cannabinoid exposure, could serve as a neural substrate contributing to alterations to the normative developmental trajectory of neural structures governing emotional behavior and fear learning. In this review, we first introduce the components of the eCB system and discuss clinical and rodent models showing eCB regulation of fear learning and anxiety in adulthood. Next, we highlight distinct fear learning and regulation profiles throughout development and discuss the ontogeny of the eCB system in the central nervous system, and models of pharmacological augmentation of eCB signaling during development in the context of fear learning and anxiety. © 2015 John Wiley & Sons Ltd and International Behavioural and Neural Genetics Society.

Context-Aware Recommender Systems

NASA Astrophysics Data System (ADS)

Adomavicius, Gediminas; Tuzhilin, Alexander

The importance of contextual information has been recognized by researchers and practitioners in many disciplines, including e-commerce personalization, information retrieval, ubiquitous and mobile computing, data mining, marketing, and management. While a substantial amount of research has already been performed in the area of recommender systems, most existing approaches focus on recommending the most relevant items to users without taking into account any additional contextual information, such as time, location, or the company of other people (e.g., for watching movies or dining out). In this chapter we argue that relevant contextual information does matter in recommender systems and that it is important to take this information into account when providing recommendations. We discuss the general notion of context and how it can be modeled in recommender systems. Furthermore, we introduce three different algorithmic paradigms - contextual prefiltering, post-filtering, and modeling - for incorporating contextual information into the recommendation process, discuss the possibilities of combining several contextaware recommendation techniques into a single unifying approach, and provide a case study of one such combined approach. Finally, we present additional capabilities for context-aware recommenders and discuss important and promising directions for future research.

E-Learning Systems Support of Collaborative Agreements: A Theoretical Model

ERIC Educational Resources Information Center

Aguirre, Sandra; Quemada, Juan

2012-01-01

This paper introduces a theoretical model for developing integrated degree programmes through e-learning systems as stipulated by a collaboration agreement signed by two universities. We have analysed several collaboration agreements between universities at the national, European, and transatlantic level as well as various e-learning frameworks. A…

Computational Techniques for More Accurate and Diverse Recommendations

ERIC Educational Resources Information Center

Kwon, YoungOk

2011-01-01

Recommender systems are becoming an increasingly important research area due to the growing demand for personalized recommendations. The volume of information available to each user and the number of products carried in e-commerce marketplaces have grown tremendously. Thus, recommender systems are needed to help individual users find the most…

Deployment of Recommender Systems: Operational and Strategic Issues

ERIC Educational Resources Information Center

Ghoshal, Abhijeet

2011-01-01

E-commerce firms are increasingly adopting recommendation systems to effectively target customers with products and services. The first essay examines the impact that improving a recommender system has on firms that deploy such systems. A market with customers heterogeneous in their search costs is considered. We find that in a monopoly, a firm…

Effect of Demographic Factors on E-Learning Effectiveness in a Higher Learning Institution in Malaysia

ERIC Educational Resources Information Center

Islam, Md. Aminul; Rahim, Noor Asliza Abdul; Liang, Tan Chee; Momtaz, Hasina

2011-01-01

This research attempted to find out the effect of demographic factors on the effectiveness of the e-learning system in a higher learning Institution. The students from this institution were randomly selected in order to evaluate the effectiveness of learning system in student's learning process. The primary data source is the questionnaires that…

Guidelines and Recommendations for Developing Interactive eHealth Apps for Complex Messaging in Health Promotion.

PubMed

Heffernan, Kayla Joanne; Chang, Shanton; Maclean, Skye Tamara; Callegari, Emma Teresa; Garland, Suzanne Marie; Reavley, Nicola Jane; Varigos, George Andrew; Wark, John Dennis

2016-02-09

The now ubiquitous catchphrase, "There's an app for that," rings true owing to the growing number of mobile phone apps. In excess of 97,000 eHealth apps are available in major app stores. Yet the effectiveness of these apps varies greatly. While a minority of apps are developed grounded in theory and in conjunction with health care experts, the vast majority are not. This is concerning given the Hippocratic notion of "do no harm." There is currently no unified formal theory for developing interactive eHealth apps, and development is especially difficult when complex messaging is required, such as in health promotion and prevention. This paper aims to provide insight into the creation of interactive eHealth apps for complex messaging, by leveraging the Safe-D case study, which involved complex messaging required to guide safe but sufficient UV exposure for vitamin D synthesis in users. We aim to create recommendations for developing interactive eHealth apps for complex messages based on the lessons learned during Safe-D app development. For this case study we developed an Apple and Android app, both named Safe-D, to safely improve vitamin D status in young women through encouraging safe ultraviolet radiation exposure. The app was developed through participatory action research involving medical and human computer interaction researchers, subject matter expert clinicians, external developers, and target users. The recommendations for development were created from analysis of the development process. By working with clinicians and implementing disparate design examples from the literature, we developed the Safe-D app. From this development process, recommendations for developing interactive eHealth apps for complex messaging were created: (1) involve a multidisciplinary team in the development process, (2) manage complex messages to engage users, and (3) design for interactivity (tailor recommendations, remove barriers to use, design for simplicity). This research has provided principles for developing interactive eHealth apps for complex messaging as guidelines by aggregating existing design concepts and expanding these concepts and new learnings from our development process. A set of guidelines to develop interactive eHealth apps generally, and specifically those for complex messaging, was previously missing from the literature; this research has contributed these principles. Safe-D delivers complex messaging simply, to aid education, and explicitly, considering user safety.

Guidelines and Recommendations for Developing Interactive eHealth Apps for Complex Messaging in Health Promotion

PubMed Central

Heffernan, Kayla Joanne; Maclean, Skye Tamara; Callegari, Emma Teresa; Garland, Suzanne Marie; Reavley, Nicola Jane; Varigos, George Andrew; Wark, John Dennis

2016-01-01

Background The now ubiquitous catchphrase, “There’s an app for that,” rings true owing to the growing number of mobile phone apps. In excess of 97,000 eHealth apps are available in major app stores. Yet the effectiveness of these apps varies greatly. While a minority of apps are developed grounded in theory and in conjunction with health care experts, the vast majority are not. This is concerning given the Hippocratic notion of “do no harm.” There is currently no unified formal theory for developing interactive eHealth apps, and development is especially difficult when complex messaging is required, such as in health promotion and prevention. Objective This paper aims to provide insight into the creation of interactive eHealth apps for complex messaging, by leveraging the Safe-D case study, which involved complex messaging required to guide safe but sufficient UV exposure for vitamin D synthesis in users. We aim to create recommendations for developing interactive eHealth apps for complex messages based on the lessons learned during Safe-D app development. Methods For this case study we developed an Apple and Android app, both named Safe-D, to safely improve vitamin D status in young women through encouraging safe ultraviolet radiation exposure. The app was developed through participatory action research involving medical and human computer interaction researchers, subject matter expert clinicians, external developers, and target users. The recommendations for development were created from analysis of the development process. Results By working with clinicians and implementing disparate design examples from the literature, we developed the Safe-D app. From this development process, recommendations for developing interactive eHealth apps for complex messaging were created: (1) involve a multidisciplinary team in the development process, (2) manage complex messages to engage users, and (3) design for interactivity (tailor recommendations, remove barriers to use, design for simplicity). Conclusions This research has provided principles for developing interactive eHealth apps for complex messaging as guidelines by aggregating existing design concepts and expanding these concepts and new learnings from our development process. A set of guidelines to develop interactive eHealth apps generally, and specifically those for complex messaging, was previously missing from the literature; this research has contributed these principles. Safe-D delivers complex messaging simply, to aid education, and explicitly, considering user safety. PMID:26860623

Service-Learning Initiatives in Nursing Education

ERIC Educational Resources Information Center

O'Shea, Eileen; Planas, Jessica; Quan, Melissa; Greiner, Lydia; Kazer, Meredith; Babington, Lynn

2013-01-01

In response to the changing demands of the U.S. healthcare system and the needs of the nursing profession, the Institute of Medicine, in collaboration with the Robert Wood Johnson Foundation, spearheaded a two-year initiative to develop recommendations for the future of nursing. Discussions of these recommendations within nursing education led to…

E-Learning System Using Segmentation-Based MR Technique for Learning Circuit Construction

ERIC Educational Resources Information Center

Takemura, Atsushi

2016-01-01

This paper proposes a novel e-Learning system using the mixed reality (MR) technique for technical experiments involving the construction of electronic circuits. The proposed system comprises experimenters' mobile computers and a remote analysis system. When constructing circuits, each learner uses a mobile computer to transmit image data from the…

OLMS: Online Learning Management System for E-Learning

ERIC Educational Resources Information Center

Ippakayala, Vinay Kumar; El-Ocla, Hosam

2017-01-01

In this paper we introduce a learning management system that provides a management system for centralized control of course content. A secure system to record lectures is implemented as a key feature of this application. This feature would be accessed through web camera and mobile recording. These features are mainly designed for e-learning…

TH-EF-204-02: Small Field Radiation Therapy: Physics and Recent Recommendations From IAEA and ICRU

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

Seuntjens, J.

Joanna E. Cygler, Jan Seuntjens, J. Daniel Bourland, M. Saiful Huq, Josep Puxeu Vaque, Daniel Zucca Aparicio, Tatiana Krylova, Yuri Kirpichev, Eric Ford, Caridad Borras Stereotactic Radiation Therapy (SRT) utilizes small static and dynamic (IMRT) fields, to successfully treat malignant and benign diseases using techniques such as Stereotactic Radiosurgery (SRS) and Stereotactic Body Radiation Therapy (SBRT). SRT is characterized by sharp dose gradients for individual fields and their resultant dose distributions. For appropriate targets, small field radiotherapy offers improved treatment quality by allowing better sparing of organs at risk while delivering the prescribed target dose. Specialized small field treatment deliverymore » systems, such as robotic-controlled linear accelerators, gamma radiosurgery units, and dynamic arc linear accelerators may utilize rigid fixation, image guidance, and tumor tracking, to insure precise dose delivery to static or moving targets. However, in addition to great advantages, small field delivery techniques present special technical challenges for dose calibration due to unique geometries and small field sizes not covered by existing reference dosimetry protocols such as AAPM TG-51 or IAEA TRS 398. In recent years extensive research has been performed to understand small field dosimetry and measurement instrumentation. AAPM, IAEA and ICRU task groups are expected to provide soon recommendations on the dosimetry of small radiation fields. In this symposium we will: 1] discuss the physics, instrumentation, methodologies and challenges for small field radiation dose measurements; 2] review IAEA and ICRU recommendations on prescribing, recording and reporting of small field radiation therapy; 3] discuss selected clinical applications and technical aspects for specialized image-guided, small field, linear accelerator based treatment techniques such as IMRT and SBRT. Learning Objectives: To learn the physics of small fields in contrast to dosimetry of conventional fields To learn about detectors suitable for small fields To learn about the role of Monte Carlo simulations in determination of small field output factors To provide an overview of the IAEA small field dosimetry recommendations To provide an overview of the content of the ICRU report on Prescribing, Reporting and Recording of Small Field Radiation Therapy. To learn about special technical considerations in delivering IMRT and SBRT treatments To appreciate specific challenges of IMRT implementation J. Seuntjens, Natural Sciences and Engineering Research Council; Canadian Institutes of Health Research.« less

The Efficiency of the "Learning Management System (LMS)" in AOU, Kuwait, as a Communication Tool in an E-Learning System

ERIC Educational Resources Information Center

Alfadly, Ahmad Assaf

2013-01-01

Purpose: The integration of a Learning Management System (LMS) at the Arab Open University (AOU), Kuwait, opens new possibilities for online interaction between teachers and students. The purpose of this paper is to evaluate the efficiency of the LMS at AOU, Kuwait as a communication tool in the E-learning system and to find the best automated…

Success Factors for e-Learning in a Developing Country: A Case Study of Serbia

ERIC Educational Resources Information Center

Raspopovic, Miroslava; Jankulovic, Aleksandar; Runic, Jovana; Lucic, Vanja

2014-01-01

In this paper, DeLone and McLean's updated information system model was used to evaluate the success of an e-Learning system and its courses in a transitional country like Serbia. In order to adapt this model to an e-Learning system, suitable success metrics were chosen for each of the evaluation stages. Furthermore, the success metrics for…

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.

Threat driven modeling framework using petri nets for e-learning system.

PubMed

Khamparia, Aditya; Pandey, Babita

2016-01-01

Vulnerabilities at various levels are main cause of security risks in e-learning system. This paper presents a modified threat driven modeling framework, to identify the threats after risk assessment which requires mitigation and how to mitigate those threats. To model those threat mitigations aspects oriented stochastic petri nets are used. This paper included security metrics based on vulnerabilities present in e-learning system. The Common Vulnerability Scoring System designed to provide a normalized method for rating vulnerabilities which will be used as basis in metric definitions and calculations. A case study has been also proposed which shows the need and feasibility of using aspect oriented stochastic petri net models for threat modeling which improves reliability, consistency and robustness of the e-learning system.

Earth Observing System, Conclusions and Recommendations

NASA Technical Reports Server (NTRS)

1984-01-01

The following Earth Observing Systems (E.O.S.) recommendations were suggested: (1) a program must be initiated to ensure that present time series of Earth science data are maintained and continued. (2) A data system that provides easy, integrated, and complete access to past, present, and future data must be developed as soon as possible. (3) A long term research effort must be sustained to study and understand these time series of Earth observations. (4) The E.O.S. should be established as an information system to carry out those aspects of the above recommendations which go beyond existing and currently planned activities. (5) The scientific direction of the E.O.S. should be established and continued through an international scientific steering committee.

Selecting a Laboratory Information Management System for Biorepositories in Low- and Middle-Income Countries: The H3Africa Experience and Lessons Learned

PubMed Central

Musinguzi, Henry; Lwanga, Newton; Kezimbira, Dafala; Kigozi, Edgar; Katabazi, Fred Ashaba; Wayengera, Misaki; Joloba, Moses Lutaakome; Abayomi, Emmanuel Akin; Swanepoel, Carmen; Croxton, Talishiea; Ozumba, Petronilla; Thankgod, Anazodo; van Zyl, Lizelle; Mayne, Elizabeth Sarah; Kader, Mukthar; Swartz, Garth

2017-01-01

Biorepositories in Africa need significant infrastructural support to meet International Society for Biological and Environmental Repositories (ISBER) Best Practices to support population-based genomics research. ISBER recommends a biorepository information management system which can manage workflows from biospecimen receipt to distribution. The H3Africa Initiative set out to develop regional African biorepositories where Uganda, Nigeria, and South Africa were successfully awarded grants to develop the state-of-the-art biorepositories. The biorepositories carried out an elaborate process to evaluate and choose a laboratory information management system (LIMS) with the aim of integrating the three geographically distinct sites. In this article, we review the processes, African experience, lessons learned, and make recommendations for choosing a biorepository LIMS in the African context.

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

ERIC Educational Resources Information Center

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

2014-01-01

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

Electronic prescribing in pediatrics: toward safer and more effective medication management.

PubMed

2013-04-01

This policy statement identifies the potential value of electronic prescribing (e-prescribing) systems in improving quality and reducing harm in pediatric health care. On the basis of limited but positive pediatric data and on the basis of federal statutes that provide incentives for the use of e-prescribing systems, the American Academy of Pediatrics recommends the adoption of e-prescribing systems with pediatric functionality. The American Academy of Pediatrics also recommends a set of functions that technology vendors should provide when e-prescribing systems are used in environments in which children receive care.

Physician assessments of the value of therapeutic information delivered via e-mail

PubMed Central

Grad, Roland; Pluye, Pierre; Repchinsky, Carol; Jovaisas, Barbara; Marlow, Bernard; Marques Ricarte, Ivan L.; Galvão, Maria Cristiane Barbosa; Shulha, Michael; de Gaspé Bonar, James

2014-01-01

Abstract Problem addressed Although e-learning programs are popular and access to electronic knowledge resources has improved, raising awareness about updated therapeutic recommendations in practice continues to be a challenge. Objective of program To raise awareness about and document the use of therapeutic recommendations. Program description In 2010, family physicians evaluated e-Therapeutics (e-T) Highlights with a Web-based tool called the Information Assessment Method (IAM). The e-T Highlights consisted of information found in the primary care reference e-Therapeutics+. Each week, family physicians received an e-mail containing a link to 1 Highlight from a different chapter of e-Therapeutics+. Family physicians received continuing medical education credits for each Highlight they rated with the IAM. Of the 5346 participants, 85% of them were full-time or part-time practitioners. A total of 31 429 Highlights ratings were received in 2010 (median of 2 ratings per participant, range 1 to 49). Among participants who rated more than 2 Highlights, the median number of ratings was 7 (mean 11.9). The relevance of the information from individual Highlights varied widely; however, for 90% of the rated Highlights participants indicated total or partial relevance of the information for at least 1 patient. For 41% of rated Highlights, participants expected patient health benefits to result from implementing the recommendation, such as avoiding an unnecessary or inappropriate treatment, or a preventive intervention. Conclusion This continuing medical education program stimulated family physicians to rate therapeutic recommendations that were delivered weekly via e-mail. The process of rating e-T Highlights with the IAM raised awareness about treatment recommendations and documented self-reported use of this information in practice. PMID:24829020

A Distributed Intelligent E-Learning System

ERIC Educational Resources Information Center

Kristensen, Terje

2016-01-01

An E-learning system based on a multi-agent (MAS) architecture combined with the Dynamic Content Manager (DCM) model of E-learning, is presented. We discuss the benefits of using such a multi-agent architecture. Finally, the MAS architecture is compared with a pure service-oriented architecture (SOA). This MAS architecture may also be used within…

A Novel Architecture for E-Learning Knowledge Assessment Systems

ERIC Educational Resources Information Center

Gierlowski, Krzysztof; Nowicki, Krzysztof

2009-01-01

In this article we propose a novel e-learning system, dedicated strictly to knowledge assessment tasks. In its functioning it utilizes web-based technologies, but its design differs radically from currently popular e-learning solutions which rely mostly on thin-client architecture. Our research proved that such architecture, while well suited for…

Geoscience Education Research: A Brief History, Context and Opportunities

NASA Astrophysics Data System (ADS)

Mogk, D. W.; Manduca, C. A.; Kastens, K. A.

2011-12-01

DBER combines knowledge of teaching and learning with deep knowledge of discipline-specific science content. It describes the discipline-specific difficulties learners face and the specialized intellectual and instructional resources that can facilitate student understanding (NRC, 2011). In the geosciences, content knowledge derives from all the "spheres, the complex interactions of components of the Earth system, applications of first principles from allied sciences, an understanding of "deep time", and approaches that emphasize the interpretive and historical nature of geoscience. Insights gained from the theory and practice of the cognitive and learning sciences that demonstrate how people learn, as well as research on learning from other STEM disciplines, have helped inform the development of geoscience curricular initiatives. The Earth Science Curriculum Project (1963) was strongly influenced by Piaget and emphasized hands-on, experiential learning. Recognizing that education research was thriving in related STEM disciplines a NSF report (NSF 97-171) recommended "... that GEO and EHR both support research in geoscience education, helping geoscientists to work with colleagues in fields such as educational and cognitive psychology, in order to facilitate development of a new generation of geoscience educators." An NSF sponsored workshop, Bringing Research on Learning to the Geosciences (2002) brought together geoscience educators and cognitive scientists to explore areas of mutual interest, and identified a research agenda that included study of spatial learning, temporal learning, learning about complex systems, use of visualizations in geoscience learning, characterization of expert learning, and learning environments. Subsequent events have focused on building new communities of scholars, such as the On the Cutting Edge faculty professional development workshops, extensive collections of online resources, and networks of scholars that have addressed teaching with visualizations, the affective domain, observing and assessing student learning, metacognition, and understanding complex systems. Geoscience education research is a growing and thriving field of scholarship that includes new PhD programs in geocognition (e.g. Michigan State Univ., Purdue Univ., Arizona State Univ., North Carolina State Univ.), and numerous collaborative research consortia (e.g. Synthesis of Research on Learning in the Geosciences; Spatial Intelligence and Learning Center, Geoscience Affective Research Network). The results of geoscience education research are presently being incorporated into the geoscience curriculum through teaching activities and textbooks. These many contributions reveal the need for sustained research on related topics: assessments of student learning, learning environments (lab and field), "what works" for different learning audiences, learning in upper division disciplinary courses, the nature of geoscience expertise. The National Research Council is currently reviewing the Status, Contributions, and Future Direction of Discipline-Based Education Research (DBER), see: http://www7.nationalacademies.org/bose/DBER_Homepage.html

The Competencies Required for Effective Performance in a University e-Learning Environment

ERIC Educational Resources Information Center

Parkes, Mitchell; Reading, Christine; Stein, Sarah

2013-01-01

The aim of this study was to identify and rate the importance of the competencies required by students for effective performance in a university e-learning environment mediated by a learning management system. Two expert panels identified 58 e-learning competencies considered to be essential for e-learning. Of these competencies, 22 were related…

Using S-P Chart and Bloom Taxonomy to Develop Intelligent Formative Assessment Tool

ERIC Educational Resources Information Center

Chang, Wen-Chih; Yang, Hsuan-Che; Shih, Timothy K.; Chao, Louis R.

2009-01-01

E-learning provides a convenient and efficient way for learning. Formative assessment not only guides student in instruction and learning, diagnose skill or knowledge gaps, but also measures progress and evaluation. An efficient and convenient e-learning formative assessment system is the key character for e-learning. However, most e-learning…

Exploring Factors Affecting Users' Satisfaction toward E-Learning Systems

ERIC Educational Resources Information Center

Hammouri, Qais; Abu-Shanab, Emad

2018-01-01

E-learning is emerging as the new phenomenon of modern education. Universities are adopting e-learning as a strategy for the improving the teaching/learning process. The primary question addressed in this paper is related to the factors influencing the adoption of e-learning. An integrated model was used to explore the factors influencing…

Perceived Satisfaction, Perceived Usefulness and Interactive Learning Environments as Predictors to Self-Regulation in e-Learning Environments

ERIC Educational Resources Information Center

Liaw, Shu-Sheng; Huang, Hsiu-Mei

2013-01-01

The research purpose is to investigate learner self-regulation in e-learning environments. In order to better understand learner attitudes toward e-learning, 196 university students answer a questionnaire survey after use an e-learning system few months. The statistical results showed that perceived satisfaction, perceived usefulness, and…

A survey of university students' perceptions of learning management systems in a low-resource setting using a technology acceptance model.

PubMed

Chipps, Jennifer; Kerr, Jane; Brysiewicz, Petra; Walters, Fiona

2015-02-01

Learning management systems have been widely advocated for the support of distance learning. In low-resource settings, the uptake of these systems by students has been mixed. This study aimed to identify, through the use of the Technology Acceptance Model, the individual, organizational, and technological factors that could be influencing the use of learning management systems. A simple quantitative descriptive survey was conducted of nursing and health science students at a university in South Africa as part of their first exposure to a learning management system. A total of 274 respondents (56.7%) completed the survey questionnaire, made up of 213 nursing respondents (87.7%) and 61 health sciences respondents (25%). Overall, the respondents found the learning management system easy to use and useful for learning. There were significant differences between the two groups of respondents, with the respondents from health sciences being both younger and more computer literate. The nursing respondents, who received more support and orientations, reported finding the learning management system more useful. Recommendations are made for training and support to ensure uptake.

A quantitative Kirkpatrick Level 1 and 2 study of equipment specialist apprentice operations training

NASA Astrophysics Data System (ADS)

Hughes, Dirk D.

The primary purpose of the quantitative experimental study is to compare employee-learning outcomes for a course of study that is offered in two formats: explicit and tacit instructor led and explicit e-learning operations training. A Kirkpatrick Level 2 course examination is used to establish a pretest knowledge baseline and to measure posttest learning outcomes for each instructional format. A secondary purpose is to compare responses of the two groups using a Kirkpatrick Level 1 customer satisfaction index survey. Several authors reported the United States electric utility industry would have an employee attrition issue during the 2010 through 2015 period. This is at the same time the industry will be experiencing an increased demand for electricity. There now is a demand for highly training powerplant operators. A review of literature yielded few studies comparing instructor led training and e-based training. Though the Electric Power Research Institute stated the two training modes would be acceptable instruction, the organization did not develop a quantifiable justified recommendation as to the training. Subjects participated in a basic operations course and decided to take either the instructor led or e-based training course. Results of the study concluded that both instructor led and e-based training provided significant learning to the participants. The Kirkpatrick Level 1 results indicated significantly better results for instructor led training. There was not a significant difference in the Kirkpatrick Level 2 results between the two training modalities. Recommendation for future research include conducting a quantitative studies including a Phillips Level 5 study and qualitative studies including a more detailed examination of the customer satisfaction survey (Kirkpatrick Level 1).

The evolution of eLearning background, blends and blackboard....

PubMed

Sleator, Roy D

2010-01-01

This review of eLearning is divided into three sections: the first charts the evolution of eLearning from early correspondence courses to the current computer mediated approaches to distributed learning. The second section deals with the concept of blended learning; combining best practice in face-to-face and online learning. The final section focuses on current platform technologies in eLearning and outlines the strengths and weaknesses of learning management systems such as Blackboard.

Investigating the Effect of Learning Styles in a Blended E-Learning System: An Extension of the Technology Acceptance Model (TAM)

ERIC Educational Resources Information Center

Al-Azawei, Ahmed; Parslow, Patrick; Lundqvist, Karsten

2017-01-01

This study assesses learner perceptions of a blended e-learning system (BELS) and the feasibility of accommodating educational hypermedia systems (EHSs) according to learning styles using a modified version of the technology acceptance model (TAM). Recently, Moodle has been adopted by an Iraqi university alongside face-to-face (F2F) classrooms to…

Factors Influencing the Effectiveness of Systems Engineering Training and Education in the Department of Defense

DTIC Science & Technology

2011-04-30

learning. Recommendations are also presented for additional research into a more effective systems engineering andragogy . 15. SUBJECT TERMS 16...into a more effective systems engineering andragogy . Purpose Competency-based training for defense acquisition workers in the systems engineering

Final Report of the Development of an International Adult Learning Module (OECD AL Module): Recommendations on Methods, Concepts and Questions in International Adult Learning Surveys. OECD Education Working Papers, No. 21

ERIC Educational Resources Information Center

Kuwan, Helmut; Larsson, Ann-Charlotte

2008-01-01

Policy interest in international surveys on Adult Learning (AL) has increased strongly. AL survey data are used as benchmarks for a country's educational system. However, results of key indicators like participation in learning activities often vary remarkably between different data sources. Stating that these differences are due to varying…

Effect of E-learning on primigravida women's satisfaction and awareness concerning prenatal care.

PubMed

Mohamadirizi, Soheila; Bahadoran, Parvin; Fahami, Fariba

2014-01-01

E-learning, in addition to promotion of patients' level of awareness, causes a more efficient way to increase patient-personnel interaction and provision of patients' educational content. In a quasi-experimental study, 100 primigravida women, referring to Navab Safavi health care center affiliated to Isfahan University of Medical Sciences, were selected through convenient sampling. The subjects received education via E-learning or booklet education methods for four weeks. Questionnaire of satisfaction with the awareness of prenatal care was completed by both groups before and 4-6 weeks after education. Data were analyzed by student t-test and paired t-test through SPSS with a significance level of P < 0.05. No significant difference was noted between scores of satisfaction and awareness in both groups before education, while a significant difference was observed four weeks after intervention (P = 0.004). There was a significant difference between scores of satisfaction and awareness after intervention in both groups (P = 0.001, P = 0.034). Satisfaction and awareness scores increased by 169% and 123%, and 61% and 37% in the E-learning and control groups, respectively (P = 0.034). E-learning can cause an increase in the level of primigravida women's satisfaction and awareness. Therefore, conducting such education, as an efficient learning method, is recommended as it needs less time, has lower costs, and does not need any special equipment.

Effect of E-learning on primigravida women's satisfaction and awareness concerning prenatal care

PubMed Central

Mohamadirizi, Soheila; Bahadoran, Parvin; Fahami, Fariba

2014-01-01

Background: E-learning, in addition to promotion of patients’ level of awareness, causes a more efficient way to increase patient-personnel interaction and provision of patients’ educational content. Materials and Methods: In a quasi-experimental study, 100 primigravida women, referring to Navab Safavi health care center affiliated to Isfahan University of Medical Sciences, were selected through convenient sampling. The subjects received education via E-learning or booklet education methods for four weeks. Questionnaire of satisfaction with the awareness of prenatal care was completed by both groups before and 4-6 weeks after education. Data were analyzed by student t-test and paired t-test through SPSS with a significance level of P < 0.05. Results: No significant difference was noted between scores of satisfaction and awareness in both groups before education, while a significant difference was observed four weeks after intervention (P = 0.004). There was a significant difference between scores of satisfaction and awareness after intervention in both groups (P = 0.001, P = 0.034). Satisfaction and awareness scores increased by 169% and 123%, and 61% and 37% in the E-learning and control groups, respectively (P = 0.034). Conclusions: E-learning can cause an increase in the level of primigravida women's satisfaction and awareness. Therefore, conducting such education, as an efficient learning method, is recommended as it needs less time, has lower costs, and does not need any special equipment. PMID:24741653

Standardization of computer-assisted semen analysis using an e-learning application.

PubMed

Ehlers, J; Behr, M; Bollwein, H; Beyerbach, M; Waberski, D

2011-08-01

Computer-assisted semen analysis (CASA) is primarily used to obtain accurate and objective kinetic sperm measurements. Additionally, AI centers use computer-assessed sperm concentration in the sample as a basis for calculating the number of insemination doses available from a given ejaculate. The reliability of data is often limited and results can vary even when the same CASA systems with identical settings are used. The objective of the present study was to develop a computer-based training module for standardized measurements with a CASA system and to evaluate its training effect on the quality of the assessment of sperm motility and concentration. A digital versatile disc (DVD) has been produced showing the standardization of sample preparation and analysis with the CASA system SpermVision™ version 3.0 (Minitube, Verona, WI, USA) in words, pictures, and videos, as well as the most probable sources of error. Eight test persons educated in spermatology, but with different levels of experience with the CASA system, prepared and assessed 10 aliquots from one prediluted bull ejaculate using the same CASA system and laboratory equipment before and after electronic learning (e-learning). After using the e-learning application, the coefficient of variation was reduced on average for the sperm concentration from 26.1% to 11.3% (P ≤ 0.01), and for motility from 5.8% to 3.1% (P ≤ 0.05). For five test persons, the difference in the coefficient of variation before and after use of the e-learning application was significant (P ≤ 0.05). Individual deviations of means from the group mean before e-learning were reduced compared with individual deviations from the group mean after e-learning. According to a survey, the e-learning application was highly accepted by users. In conclusion, e-learning presents an effective, efficient, and accepted tool for improvement of the precision of CASA measurements. This study provides a model for the standardization of other laboratory procedures using e-learning. Copyright © 2011 Elsevier Inc. All rights reserved.

A student-led process to enhance the learning and teaching of teamwork skills in medicine.

PubMed

Balasooriya, Chinthaka; Olupeliyawa, Asela; Iqbal, Maha; Lawley, Claire; Cohn, Amanda; Ma, David; Luu, Queenie

2013-01-01

The development of teamwork skills is a critical aspect of modern medical education. This paper reports on a project that aimed to identify student perceptions of teamwork-focused learning activities and generate student recommendations for the development of effective educational strategies. The project utilized a unique method, which drew on the skills of student research assistants (RAs) to explore the views of their peers. Using structured interview guides, the RAs interviewed their colleagues to clarify their perceptions of the effectiveness of current methods of teamwork teaching and to explore ideas for more effective methods. The RAs shared their deidentified findings with each other, identified preliminary themes, and developed a number of recommendations which were finalized through consultation with faculty. The key themes that emerged focused on the need to clarify the relevance of teamwork skills to clinical practice, reward individual contributions to group process, facilitate feedback and reflection on teamwork skills, and systematically utilize clinical experiences to support experiential learning of teamwork. Based on these findings, a number of recommendations for stage appropriate teamwork learning and assessment activities were developed. Key among these were recommendations to set up a peer-mentoring system for students, suggestions for more authentic teamwork assessment methods, and strategies to utilize the clinical learning environment in developing teamwork skills. The student-led research process enabled identification of issues that may not have been otherwise revealed by students, facilitated a better understanding of teamwork teaching and developed ownership of the curriculum among students. The project enabled the development of recommendations for designing learning, teaching, and assessment methods that were likely to be more effective from a student perspective.

Intelligent Web-Based Learning System with Personalized Learning Path Guidance

ERIC Educational Resources Information Center

Chen, C. M.

2008-01-01

Personalized curriculum sequencing is an important research issue for web-based learning systems because no fixed learning paths will be appropriate for all learners. Therefore, many researchers focused on developing e-learning systems with personalized learning mechanisms to assist on-line web-based learning and adaptively provide learning paths…

Towards Information Enrichment through Recommendation Sharing

NASA Astrophysics Data System (ADS)

Weng, Li-Tung; Xu, Yue; Li, Yuefeng; Nayak, Richi

Nowadays most existing recommender systems operate in a single organisational basis, i.e. a recommender system recommends items to customers of one organisation based on the organisation's datasets only. Very often the datasets of a single organisation do not have sufficient resources to be used to generate quality recommendations. Therefore, it would be beneficial if recommender systems of different organisations with similar nature can cooperate together to share their resources and recommendations. In this chapter, we present an Ecommerce-oriented Distributed Recommender System (EDRS) that consists of multiple recommender systems from different organisations. By sharing resources and recommendations with each other, these recommenders in the distributed recommendation system can provide better recommendation service to their users. As for most of the distributed systems, peer selection is often an important aspect. This chapter also presents a recommender selection technique for the proposed EDRS, and it selects and profiles recommenders based on their stability, average performance and selection frequency. Based on our experiments, it is shown that recommenders' recommendation quality can be effectively improved by adopting the proposed EDRS and the associated peer selection technique.

Validation of an Evaluation Model for Learning Management Systems

ERIC Educational Resources Information Center

Kim, S. W.; Lee, M. G.

2008-01-01

This study aims to validate a model for evaluating learning management systems (LMS) used in e-learning fields. A survey of 163 e-learning experts, regarding 81 validation items developed through literature review, was used to ascertain the importance of the criteria. A concise list of explanatory constructs, including two principle factors, was…

Acceptance of Competency-Based Workplace e-Learning Systems: Effects of Individual and Peer Learning Support

ERIC Educational Resources Information Center

Cheng, Bo; Wang, Minhong; Yang, Stephen J. H.; Kinshuk; Peng, Jun

2011-01-01

Current endeavors to integrate competency-based learning approaches with e-learning systems designed for delivery of training to adult learners in the workplace are growing. However, academic efforts in examining learners' perceptions of, and reactions toward, this technology-delivered pedagogical innovation are limited. Drawing together…

Automatic Detection of Learning Styles for an E-Learning System

ERIC Educational Resources Information Center

Ozpolat, Ebru; Akar, Gozde B.

2009-01-01

A desirable characteristic for an e-learning system is to provide the learner the most appropriate information based on his requirements and preferences. This can be achieved by capturing and utilizing the learner model. Learner models can be extracted based on personality factors like learning styles, behavioral factors like user's browsing…

Relationship between Learning Outcomes and Online Accesses

ERIC Educational Resources Information Center

Suanpang, Pannee; Petocz, Peter; Reid, Anna

2004-01-01

This paper reports on a study carried out in Thailand investigating the relationship between students' use of an e-learning system and their learning outcomes in a course on Business Statistics. The results show a clear relationship between accesses to the e-learning system, as measured by number of "hits", and outcomes, as measured by…

Critical Success Factors for eLearning in Saudi Arabian Universities

ERIC Educational Resources Information Center

Alhabeeb, Abdullah; Rowley, Jennifer

2017-01-01

Purpose: The purpose of this paper is to offer insights into the development of eLearning systems and the perceptions of key players in the management of eLearning systems in three large universities in Saudi Arabia. It establishes the relative importance of different factors and compares these findings with studies conducted elsewhere in the…

Utilizing E-Learning Systems in the Libyan Universities: Case Study; Tripoli University, Faculty of Engineering

ERIC Educational Resources Information Center

Almansuri, Aisha Ammar; Elmansuri, Rowad Adel

2015-01-01

E-learning in teaching and learning considered as the easy way to use information and communication technology by using of the internet. With the support of E-learning higher education can be delivered anywhere and at any time. Although E-Learning is very importance in Libyan higher education, It's implementation is facing many challenges in the…

A Meta-Analysis of the Relationship between E-Learning and Students' Academic Achievement in Higher Education

ERIC Educational Resources Information Center

Mothibi, Gloria

2015-01-01

E-learning is substantially becoming a popular effective learning approach within greater academic settings due to high use of web systems in learning. E-learning involves utilization of information and communication technology (ICT) to improve and help teaching and learning. The aim of this study was to estimate the relationship between…

Designing and Integrating Reusable Learning Objects for Meaningful Learning: Cases from a Graduate Programme

ERIC Educational Resources Information Center

Koh, Joyce Hwee Ling

2017-01-01

E-learning quality depends on sound pedagogical integration between the content resources and lesson activities within an e-learning system. This study proposes that a meaningful learning with technology framework can be used to guide the design and integration of content resources with e-learning activities in ways that promote learning…

Architecture of an E-Learning System with Embedded Authoring Support.

ERIC Educational Resources Information Center

Baudry, Andreas; Bungenstock, Michael; Mertsching, Barbel

This paper introduces an architecture for an e-learning system with an embedded authoring system. Based on the metaphor of a construction kit, this approach offers a general solution for specific content creation and publication. The learning resources are IMS "Content Packages" with a special structure to separate content and presentation. These…

Framework for Intelligent Teaching and Training Systems -- A Study of Systems

ERIC Educational Resources Information Center

Graf von Malotky, Nikolaj Troels; Martens, Alke

2016-01-01

Intelligent Tutoring System are state of the art in eLearning since the late 1980s. The earliest system have been developed in teams of psychologists and computer scientists, with the goal to investigate learning processes and, later on with the goal to intelligently support teaching and training with computers. Over the years, the eLearning hype…

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

PubMed

Ho, Li-An

2009-01-01

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

PERSON-Personalized Expert Recommendation System for Optimized Nutrition.

PubMed

Chen, Chih-Han; Karvela, Maria; Sohbati, Mohammadreza; Shinawatra, Thaksin; Toumazou, Christofer

2018-02-01

The rise of personalized diets is due to the emergence of nutrigenetics and genetic tests services. However, the recommendation system is far from mature to provide personalized food suggestion to consumers for daily usage. The main barrier of connecting genetic information to personalized diets is the complexity of data and the scalability of the applied systems. Aiming to cross such barriers and provide direct applications, a personalized expert recommendation system for optimized nutrition is introduced in this paper, which performs direct to consumer personalized grocery product filtering and recommendation. Deep learning neural network model is applied to achieve automatic product categorization. The ability of scaling with unknown new data is achieved through the generalized representation of word embedding. Furthermore, the categorized products are filtered with a model based on individual genetic data with associated phenotypic information and a case study with databases from three different sources is carried out to confirm the system.

Predicting the Adoption of E-Learning Management System: A Case of Selected Private Universities in Nigeria

ERIC Educational Resources Information Center

Nicholas-Omoregbe, Olanike Sharon; Azeta, Ambrose Agbon; Chiazor, Idowu Aigbovo; Omoregbe, Nicholas

2017-01-01

Despite the availability of studies on e-learning management system (eLMS) using information system models, its theoretical foundations have not yet captured social constructs that are peculiar to developing countries including Nigeria. This study was undertaken with the aim of investigating factors that could influence eLMS adoption in higher…

Policy needs and options for a common transatlantic approach towards measuring adoption, usage and benefits of eHealth.

PubMed

Stroetmann, Karl A; Middleton, Blackford

2011-01-01

The European Union (EU) sponsored ARGOS project analysed current eHealth policy thinking in both the EU and the USA, compared strategic challenges and outcomes in selected fields, and drafted roadmaps towards developing advanced global approaches for these issues. This policy brief focuses on better understanding the benefits and costs of eHealth investments, assessing their overall socio-economic impact, identifying challenges and success factors, as well as measuring and globally benchmarking the concrete usage of eHealth solutions. These are by now key policy priorities not only of national governments and the European Commission, but also of international institutions like WHO or OECD. There is a strong felt transatlantic need for stocktaking, identifying lessons learned, sharing of experience, and working together to advance these issues for the benefit of health systems. A growing number of national and international activities can be taken advantage of. Recommendations on how to proceed with such transatlantic activities are proposed.

a Context-Aware Tourism Recommender System Based on a Spreading Activation Method

NASA Astrophysics Data System (ADS)

Bahramian, Z.; Abbaspour, R. Ali; Claramunt, C.

2017-09-01

Users planning a trip to a given destination often search for the most appropriate points of interest location, this being a non-straightforward task as the range of information available is very large and not very well structured. The research presented by this paper introduces a context-aware tourism recommender system that overcomes the information overload problem by providing personalized recommendations based on the user's preferences. It also incorporates contextual information to improve the recommendation process. As previous context-aware tourism recommender systems suffer from a lack of formal definition to represent contextual information and user's preferences, the proposed system is enhanced using an ontology approach. We also apply a spreading activation technique to contextualize user preferences and learn the user profile dynamically according to the user's feedback. The proposed method assigns more effect in the spreading process for nodes which their preference values are assigned directly by the user. The results show the overall performance of the proposed context-aware tourism recommender systems by an experimental application to the city of Tehran.

Intelligent Fuzzy Spelling Evaluator for e-Learning Systems

ERIC Educational Resources Information Center

Chakraborty, Udit Kr.; Konar, Debanjan; Roy, Samir; Choudhury, Sankhayan

2016-01-01

Evaluating Learners' Response in an e-Learning environment has been the topic of current research in areas of Human Computer Interaction, e-Learning, Education Technology and even Natural Language Processing. The current paper presents a twofold strategy to evaluate single word response of a learner in an e-Learning environment. The response of…

Using Taxonomic Indexing Trees to Efficiently Retrieve SCORM-Compliant Documents in e-Learning Grids

ERIC Educational Resources Information Center

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

2008-01-01

With the flourishing development of e-Learning, more and more SCORM-compliant teaching materials are developed by institutes and individuals in different sites. In addition, the e-Learning grid is emerging as an infrastructure to enhance traditional e-Learning systems. Therefore, information retrieval schemes supporting SCORM-compliant documents…

Quality Enhancement on E-Learning

ERIC Educational Resources Information Center

Ossiannilsson, E. S. I.

2012-01-01

Purpose: Benchmarking, a method for quality assurance has not been very commonly used in higher education with regard to e-learning. Today, e-learning is an integral part of higher education, and so should also be an integral part of quality assurance systems. However, quality indicators, benchmarks and critical success factors on e-learning have…

An Analysis of Student Model Portability

ERIC Educational Resources Information Center

Valdés Aguirre, Benjamín; Ramírez Uresti, Jorge A.; du Boulay, Benedict

2016-01-01

Sharing user information between systems is an area of interest for every field involving personalization. Recommender Systems are more advanced in this aspect than Intelligent Tutoring Systems (ITSs) and Intelligent Learning Environments (ILEs). A reason for this is that the user models of Intelligent Tutoring Systems and Intelligent Learning…

Teaching and learning curriculum programs: recommendations for postgraduate pharmacy experiences in education.

PubMed

Wright, Eric A; Brown, Bonnie; Gettig, Jacob; Martello, Jay L; McClendon, Katie S; Smith, Kelly M; Teeters, Janet; Ulbrich, Timothy R; Wegrzyn, Nicole; Bradley-Baker, Lynette R

2014-08-01

Recommendations for the development and support of teaching and learning curriculum (TLC) experiences within postgraduate pharmacy training programs are discussed. Recent attention has turned toward meeting teaching- and learning-related educational outcomes through a programmatic process during the first or second year of postgraduate education. These programs are usually coordinated by schools and colleges of pharmacy and often referred to as "teaching certificate programs," though no national standards or regulation of these programs currently exists. In an effort to describe the landscape of these programs and to develop a framework for their basic design and content, the American Association of Colleges of Pharmacy Pharmacy Practice Section's Task Force on Student Engagement and Involvement, with input from the American Society of Health-System Pharmacists, reviewed evidence from the literature and conference proceedings and considered author experience and expertise over a two-year period. The members of the task force created and reached consensus on a policy statement and 12 recommendations to guide the development of best practices of TLC programs. The recommendations address topics such as the value of TLC programs, program content, teaching and learning experiences, feedback for participants, the development of a teaching portfolio, the provision of adequate resources for TLC programs, programmatic assessment and improvement, program transparency, and accreditation. TLC programs provide postgraduate participants with valuable knowledge and skills in teaching applicable to the practitioner and academician. Postgraduate programs should be transparent to candidates and seek to ensure the best experiences for participants through systematic program implementation and assessments. Copyright © 2014 by the American Society of Health-System Pharmacists, Inc. All rights reserved.

Role- and Relationship-Based Identity Management for Privacy-Enhanced E-Learning

ERIC Educational Resources Information Center

Anwar, Mohd; Greer, Jim

2012-01-01

An e-learning discussion forum, an essential component of today's e-learning systems, offers a platform for social learning activities. However, as learners participate in the discussion forum, privacy emerges as a major concern. Privacy concerns in social learning activities originate from one learner's inability to convey a desired presentation…

E-Learning System Overview Based on Semantic Web

ERIC Educational Resources Information Center

Alsultanny, Yas A.

2006-01-01

The challenge of the semantic web is the provision of distributed information with well-defined meaning, understandable for different parties. e-Learning is efficient task relevant and just-in-time learning grown from the learning requirements of the new dynamically changing, distributed business world. In this paper we design an e-Learning system…

E-Coaching Systems: Convenient, Anytime, Anywhere, and Nonhuman

ERIC Educational Resources Information Center

Warner, Teri

2012-01-01

Technologies continue to evolve to provide more compelling and interactive learning opportunities. Coaching has traditionally been face-to-face or by email. By combining the new technologies with coaching, learning developers now have the opportunity to develop an asynchronous, online, nonhuman coaching system, or e-coaching system. An e-coaching…

Trend of E-Learning: The Service Mashup

ERIC Educational Resources Information Center

Yen, Neil Y.; Shih, Timothy K.; Jin, Qun; Hsu, Hui-Huang; Chao, Louis R.

2010-01-01

With the improvement of internet technologies and multimedia resources, traditional learning has been replaced by distance learning, web-based learning or others' e-learning learning styles. According to distance learning, there are many research organizations and companies who make efforts in developing the relevant systems. But they lack…

Learning With E-books and Project-based Strategy in a Community Health Nursing Course.

PubMed

Sung, Tien-Wen; Wu, Ting-Ting

2018-03-01

With advances in information technology, "information-assisted instruction" has been gradually introduced to nursing education curricula. Specifically, the integration of an e-book system can effectively enhance nursing students' attention and interest. Most studies on nursing education that incorporated e-books have focused on the advantages of convenience and assistance provided by e-books. Few studies have addressed community health nursing and off-campus practice activities in relation to suitable teaching strategies for learning activities. This study involved designing and planning a multimedia e-book learning system with a project-based learning activity that conforms to the curriculum and practical requirements of a community health nursing course. The purpose was to reduce the gap between theory and practice and realize an effective learning process. For learning evaluations, a final examination analysis with an independent sample t test; a scoring scheme with intrateam, interteam, and expert ratings; and Bloom's taxonomy-based analysis were conducted. The evaluation results indicated that the comprehension and learning abilities of the experimental group using the e-book system with a mobile device were effectively improved. In addition, the exploratory process involved in project-based learning can develop multiple cognitive skills and problem-solving ability, thereby realizing effective learning.

A New Approach of an Intelligent E-Learning System Based on Learners' Skill Level and Learners' Success Rate

ERIC Educational Resources Information Center

Mohamed, Hafidi; Lamia, Mahnane

2015-01-01

Learners usually meet cognitive overload and disorientation problems when using e-learning system. At present, most of the studies in e-learning either concentrate on the technological aspect or focus on adapting learner's interests or browsing behaviors, while, learner's skill level and learners' success rate is usually neglected. In this paper,…

Electronic Learning Systems in Hong Kong Business Organizations: A Study of Early and Late Adopters

ERIC Educational Resources Information Center

Chan, Simon C. H.; Ngai, Eric W. T.

2012-01-01

Based on the diffusion of innovation theory (E. M. Rogers, 1983, 1995), the authors examined the antecedents of the adoption of electronic learning (e-learning) systems by using a time-based assessment model (R. C. Beatty, J. P. Shim, & M. C. Jones, 2001), which classified adopters into categories upon point in time when adopting e-learning…

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.

40 CFR 141.861 - Reporting and recordkeeping.

Code of Federal Regulations, 2014 CFR

2014-07-01

... recordkeeping. (a) Reporting—(1) E. coli. (i) A system must notify the State by the end of the day when the system learns of an E. coli MCL violation, unless the system learns of the violation after the State... by the end of the day when the system is notified of an E. coli-positive routine sample, unless the...

40 CFR 141.861 - Reporting and recordkeeping.

Code of Federal Regulations, 2013 CFR

2013-07-01

... recordkeeping. (a) Reporting. (1) E. coli.—(i) A system must notify the State by the end of the day when the system learns of an E. coli MCL violation, unless the system learns of the violation after the State... by the end of the day when the system is notified of an E. coli-positive routine sample, unless the...

Impaired associative taste learning and abnormal brain activation in kinase-defective eEF2K mice.

PubMed

Gildish, Iness; Manor, David; David, Orit; Sharma, Vijendra; Williams, David; Agarwala, Usha; Wang, Xuemin; Kenney, Justin W; Proud, Chris G; Rosenblum, Kobi

2012-02-24

Memory consolidation is defined temporally based on pharmacological interventions such as inhibitors of mRNA translation (molecular consolidation) or post-acquisition deactivation of specific brain regions (systems level consolidation). However, the relationship between molecular and systems consolidation are poorly understood. Molecular consolidation mechanisms involved in translation initiation and elongation have previously been studied in the cortex using taste-learning paradigms. For example, the levels of phosphorylation of eukaryotic elongation factor 2 (eEF2) were found to be correlated with taste learning in the gustatory cortex (GC), minutes following learning. In order to isolate the role of the eEF2 phosphorylation state at Thr-56 in both molecular and system consolidation, we analyzed cortical-dependent taste learning in eEF2K (the only known kinase for eEF2) ki mice, which exhibit reduced levels of eEF2 phosphorylation but normal levels of eEF2 and eEF2K. These mice exhibit clear attenuation of cortical-dependent associative, but not of incidental, taste learning. In order to gain a better understanding of the underlying mechanisms, we compared brain activity as measured by MEMRI (manganese-enhanced magnetic resonance imaging) between eEF2K ki mice and WT mice during conditioned taste aversion (CTA) learning and observed clear differences between the two but saw no differences under basal conditions. Our results demonstrate that adequate levels of phosphorylation of eEF2 are essential for cortical-dependent associative learning and suggest that malfunction of memory processing at the systems level underlies this associative memory impairment. © 2012 Cold Spring Harbor Laboratory Press

Course Ontology-Based User's Knowledge Requirement Acquisition from Behaviors within E-Learning Systems

ERIC Educational Resources Information Center

Zeng, Qingtian; Zhao, Zhongying; Liang, Yongquan

2009-01-01

User's knowledge requirement acquisition and analysis are very important for a personalized or user-adaptive learning system. Two approaches to capture user's knowledge requirement about course content within an e-learning system are proposed and implemented in this paper. The first approach is based on the historical data accumulated by an…

A Study of a Social Annotation Modeling Learning System

ERIC Educational Resources Information Center

Samuel, Roy David; Kim, Chanmin; Johnson, Tristan E.

2011-01-01

The transition from classroom instruction to e-learning raises pedagogical challenges for university instructors. A controlled integration of e-learning tools into classroom instruction may offer learners tangible benefits and improved effectiveness. This design-based research (DBR) study engaged students in e-learning activities integrated into…

Cognitive neuroscience of human counterfactual reasoning

PubMed Central

Van Hoeck, Nicole; Watson, Patrick D.; Barbey, Aron K.

2015-01-01

Counterfactual reasoning is a hallmark of human thought, enabling the capacity to shift from perceiving the immediate environment to an alternative, imagined perspective. Mental representations of counterfactual possibilities (e.g., imagined past events or future outcomes not yet at hand) provide the basis for learning from past experience, enable planning and prediction, support creativity and insight, and give rise to emotions and social attributions (e.g., regret and blame). Yet remarkably little is known about the psychological and neural foundations of counterfactual reasoning. In this review, we survey recent findings from psychology and neuroscience indicating that counterfactual thought depends on an integrative network of systems for affective processing, mental simulation, and cognitive control. We review evidence to elucidate how these mechanisms are systematically altered through psychiatric illness and neurological disease. We propose that counterfactual thinking depends on the coordination of multiple information processing systems that together enable adaptive behavior and goal-directed decision making and make recommendations for the study of counterfactual inference in health, aging, and disease. PMID:26257633

Cognitive neuroscience of human counterfactual reasoning.

PubMed

Van Hoeck, Nicole; Watson, Patrick D; Barbey, Aron K

2015-01-01

Counterfactual reasoning is a hallmark of human thought, enabling the capacity to shift from perceiving the immediate environment to an alternative, imagined perspective. Mental representations of counterfactual possibilities (e.g., imagined past events or future outcomes not yet at hand) provide the basis for learning from past experience, enable planning and prediction, support creativity and insight, and give rise to emotions and social attributions (e.g., regret and blame). Yet remarkably little is known about the psychological and neural foundations of counterfactual reasoning. In this review, we survey recent findings from psychology and neuroscience indicating that counterfactual thought depends on an integrative network of systems for affective processing, mental simulation, and cognitive control. We review evidence to elucidate how these mechanisms are systematically altered through psychiatric illness and neurological disease. We propose that counterfactual thinking depends on the coordination of multiple information processing systems that together enable adaptive behavior and goal-directed decision making and make recommendations for the study of counterfactual inference in health, aging, and disease.

Using e-learning to enhance nursing students' pain management education.

PubMed

Keefe, Gemma; Wharrad, Heather J

2012-11-01

Absence of standardised pain curricula has led to wide diversity in the understanding and awareness of pain by healthcare students. Indeed pain management is frequently under-prioritised in nursing education, providing potential to negatively impact upon patient care. Yet the recent addition of Pain to the UK National Health Service's Essence of Care Benchmarks has highlighted the need to address this issue, and in response pain educators have called for the development of high quality, globally accessible e-learning resources in pain management. This study will determine the effectiveness of an e-learning intervention on pain management developed for nursing students. Two variants of an e-learning resource on pain management were developed, each containing the same core content but one with a section focusing on pain assessment and the other on pharmacological management. Nursing students (n=42) were randomly assigned to trial one resource, after which they undertook a questionnaire adapted (to ensure alignment with the content of the e-learning resources) from Ferrell and McCaffrey's Nurses Knowledge and Attitudes Towards Pain Survey. Scores were analysed for each resource and year of study, and compared with scores from a standard non-intervention group completing the questionnaire only (n=164). Scores averaged 19.2% higher for students undertaking the e-learning resources (p<0.005). Specifically, undertaking the assessment resource improved assessment knowledge more, whilst assignment to the treatment resource particularly enhanced pharmacological knowledge (p<0.005). Correlation was found between year of study and pain knowledge. Results support the effectiveness of the resources independent of voluntary-response bias. Conclusions recommend that introducing e-learning has substantial benefit to enhance pain education in nursing. Copyright © 2012 Elsevier Ltd. All rights reserved.

A systems approach to implementation of eLearning in medical education: five MEPI schools' journeys.

PubMed

Vovides, Yianna; Chale, Selamawit Bedada; Gadhula, Rumbidzayi; Kebaetse, Masego B; Nigussie, Netsanet Animut; Suleman, Fatima; Tibyampansha, Dativa; Ibrahim, Glory Ramadhan; Ntabaye, Moshi; Frehywot, Seble; Nkomazana, Oathokwa

2014-08-01

How should eLearning be implemented in resource-constrained settings? The introduction of eLearning at four African medical schools and one school of pharmacy, all part of the Medical Education Partnership Initiative (MEPI) eLearning Technical Working Group, highlighted the need for five factors essential for successful and sustainable implementation: institutional support; faculty engagement; student engagement; technical expertise; and infrastructure and support systems. All five MEPI schools reported strengthening technical expertise, infrastructure, and support systems; four schools indicated that they were also successful in developing student engagement; and three reported making good progress in building institutional support. Faculty engagement was the one core component that all five schools needed to enhance.

Diagnostic Machine Learning Models for Acute Abdominal Pain: Towards an e-Learning Tool for Medical Students.

PubMed

Khumrin, Piyapong; Ryan, Anna; Judd, Terry; Verspoor, Karin

2017-01-01

Computer-aided learning systems (e-learning systems) can help medical students gain more experience with diagnostic reasoning and decision making. Within this context, providing feedback that matches students' needs (i.e. personalised feedback) is both critical and challenging. In this paper, we describe the development of a machine learning model to support medical students' diagnostic decisions. Machine learning models were trained on 208 clinical cases presenting with abdominal pain, to predict five diagnoses. We assessed which of these models are likely to be most effective for use in an e-learning tool that allows students to interact with a virtual patient. The broader goal is to utilise these models to generate personalised feedback based on the specific patient information requested by students and their active diagnostic hypotheses.

Long-term effects of user preference-oriented recommendation method on the evolution of online system

NASA Astrophysics Data System (ADS)

Shi, Xiaoyu; Shang, Ming-Sheng; Luo, Xin; Khushnood, Abbas; Li, Jian

2017-02-01

As the explosion growth of Internet economy, recommender system has become an important technology to solve the problem of information overload. However, recommenders are not one-size-fits-all, different recommenders have different virtues, making them be suitable for different users. In this paper, we propose a novel personalized recommender based on user preferences, which allows multiple recommenders to exist in E-commerce system simultaneously. We find that output of a recommender to each user is quite different when using different recommenders, the recommendation accuracy can be significantly improved if each user is assigned with his/her optimal personalized recommender. Furthermore, different from previous works focusing on short-term effects on recommender, we also evaluate the long-term effect of the proposed method by modeling the evolution of mutual feedback between user and online system. Finally, compared with single recommender running on the online system, the proposed method can improve the accuracy of recommendation significantly and get better trade-offs between short- and long-term performances of recommendation.

A decentralized and onsite wastewater management course: bringing together global concerns and practical pedagogy.

PubMed

Gaulke, L S; Borgford-Parnell, J L; Stensel, H D

2008-01-01

This paper reports on the design, implementation, and results of a course focused on decentralized and onsite wastewater treatment in global contexts. Problem-based learning was the primary pedagogical method, with which students tackled real-world problems and designed systems to meet the needs of diverse populations. Both learning and course evaluations demonstrated that the course was successful in fulfilling learning objectives, increasing student design skills, and raising awareness of global applications. Based on this experience a list of recommendations was created for co-developing and team-teaching multidisciplinary design courses. These recommendations include ideas for aligning student and teacher goals, overcoming barriers to effective group-work, and imbedding continuous course assessments. Copyright IWA Publishing 2008.

Architectural and Functional Design and Evaluation of E-Learning VUIS Based on the Proposed IEEE LTSA Reference Model.

ERIC Educational Resources Information Center

O'Droma, Mairtin S.; Ganchev, Ivan; McDonnell, Fergal

2003-01-01

Presents a comparative analysis from the Institute of Electrical and Electronics Engineers (IEEE) Learning Technology Standards Committee's (LTSC) of the architectural and functional design of e-learning delivery platforms and applications, e-learning course authoring tools, and learning management systems (LMSs), with a view of assessing how…

An Approach for Externalization of Expert Tacit Knowledge Using a Query Management System in an E-Learning Environment

ERIC Educational Resources Information Center

Khan, Abdul Azeez; Khader, Sheik Abdul

2014-01-01

E-learning or electronic learning platforms facilitate delivery of the knowledge spectrum to the learning community through information and communication technologies. The transfer of knowledge takes place from experts to learners, and externalization of the knowledge transfer is significant. In the e-learning environment, the learners seek…

Examining the Effect of Academic Procrastination on Achievement Using LMS Data in E-Learning

ERIC Educational Resources Information Center

You, Ji Won

2015-01-01

This study aimed to investigate the effect of academic procrastination on e-learning course achievement. Because all of the interactions among students, instructors, and contents in an e-learning environment were automatically recorded in a learning management system (LMS), procrastination such as the delays in weekly scheduled learning and late…

Virtual Reality for Collaborative E-Learning

ERIC Educational Resources Information Center

Monahan, Teresa; McArdle, Gavin; Bertolotto, Michela

2008-01-01

In the past, the term e-learning referred to any method of learning that used electronic delivery methods. With the advent of the Internet however, e-learning has evolved and the term is now most commonly used to refer to online courses. A multitude of systems are now available to manage and deliver learning content online. While these have proved…

LIA: An Intelligent Advisor for E-Learning

ERIC Educational Resources Information Center

Capuano, Nicola; Gaeta, Matteo; Marengo, Agostino; Miranda, Sergio; Orciuoli, Francesco; Ritrovato, Pierluigi

2009-01-01

Intelligent e-learning systems have revolutionized online education by providing individualized and personalized instruction for each learner. Nevertheless, until now very few systems were able to leave academic laboratories and be integrated into real commercial products. One of these few exceptions is the Learning Intelligent Advisor (LIA)…

Flexibility Requirements concerning the Design of Synchronous E-Learning Systems

ERIC Educational Resources Information Center

Jahn, Matthias; Piesche, Claudia; Jablonski, Stefan

2012-01-01

Purpose: Today's requirements concerning successful learning support comprise a variety of application scenarios. Therefore, the development of supporting software preferably aims at modular design. This article discusses requirements regarding flexibility of e-learning systems and presents important principles, which should be met by successful…

The Devil Is in the Details: A Response to the Report of the Postsecondary Review in Ontario

ERIC Educational Resources Information Center

Constantinou, Peter; Drea, Catherine

2005-01-01

This article discusses the recommendations of the Postsecondary Review Panel's Final Report--"Ontario: A Leader in Learning." The Postsecondary Review was announced by the government in the Ontario Budget 2004 to "review the design and funding of Ontario's postsecondary education system and recommend innovative ways in which its…

Recommender System for Learning SQL Using Hints

ERIC Educational Resources Information Center

Lavbic, Dejan; Matek, Tadej; Zrnec, Aljaž

2017-01-01

Today's software industry requires individuals who are proficient in as many programming languages as possible. Structured query language (SQL), as an adopted standard, is no exception, as it is the most widely used query language to retrieve and manipulate data. However, the process of learning SQL turns out to be challenging. The need for a…

The Challenges and Possibilities of a Narrative Learning Approach in the Finnish Early Childhood Education System

ERIC Educational Resources Information Center

Hakkarainen, Pentti

2008-01-01

Finnish curriculum guidelines for early education emphasise play and creative activities as significant factors in healthy child development. Constructivist theory loosely frames the guidelines, but the recommended approach lacks precise developmental goals. Since 1996, we have carried out a narrative learning project with vertically integrated…

The Nature of Assessment Systems to Support Effective Use of Evidence through Technology

ERIC Educational Resources Information Center

Scalise, Kathleen; Wilson, Mark

2011-01-01

The National Educational Technology Plan 2010 (NETP) presents a model of twenty-first-century learning powered by technology, with goals and recommendations in five essential areas: learning, assessment, teaching, infrastructure, and productivity. This article connects NETP ideas in one of these areas--assessment--with those of the Assessment and…

Using Machine Learning to Match Assistive Technology to People with Disabilities.

PubMed

Rafi, Abe

2017-01-01

This paper describes the initial results of work to create a recommender system to match technology products to people with I/DD by applying machine learning to a large volume of data about: people with I/DD; the technology products they use; and the outcomes they aim to achieve with technology.

Document-Oriented E-Learning Components

ERIC Educational Resources Information Center

Piotrowski, Michael

2009-01-01

This dissertation questions the common assumption that e-learning requires a "learning management system" (LMS) such as Moodle or Blackboard. Based on an analysis of the current state of the art in LMSs, we come to the conclusion that the functionality of conventional e-learning platforms consists of basic content management and…

Tablet-Based eBooks for Young Children: What Does the Research Say?

PubMed

Reich, Stephanie M; Yau, Joanna C; Warschauer, Mark

2016-09-01

Young children's use of electronic books (eBooks) is increasing as handheld touch screen devices, such as tablets, become increasingly available. Although older children's reading on tablets has been more broadly investigated, less is known about the impacts of digital reading for infant, toddlers, and preschoolers. This review compares the educational affordances of reading on tablets versus print books for young children's learning. A qualitative synthesis of research on tablet-based eReading and young children's learning from screens was conducted. When eBooks are designed well, preschool-aged children learn equally well and sometimes more than from print books. However, enhanced eBooks with sounds, animations, and games can distract children and reduce learning. When book-sharing with an adult, conversations during eBook reading are often about the platform while print book conversations are more often about the book content. For young children (0-2 yr), there is a paucity of research, but broader studies on learning from screens suggest limited educational benefits of tablet use for this age group. The authors recommend that (1) the selection of eBooks (especially enhanced eBooks) be thoughtful as games or animations that are not related to the story content can be distracting for young children, (2) adults share in the reading experience as discussions of the story, text, and characters have been found to enhance comprehension, language development, and print awareness, and (3) tablet eBook use be restricted for infants and toddlers, as they benefit more from face-to-face interaction with caregivers than from interactive screens alone.

Can E-Learning System Enhance Learning Culture in the Workplace? A Comparison among Companies in South Korea

ERIC Educational Resources Information Center

Yoo, Sun Joo; Huang, Wenhao David

2016-01-01

How organizations need to act in order to develop their learning capacities has always been a focal interest of research and practice in the workplace. In practice, an e-learning system is often utilized to foster professional development as it is capable of delivering information and knowledge to individuals across organizations. However, the…

Proceedings of the International Conference e-Learning 2014. Multi Conference on Computer Science and Information Systems (Lisbon, Portugal, July 15-19, 2014)

ERIC Educational Resources Information Center

Baptista Nunes, Miguel, Ed.; McPherson, Maggie, Ed.

2014-01-01

These proceedings contain the papers of the International Conference e-Learning 2014, which was organised by the International Association for Development of the Information Society and is part of the Multi Conference on Computer Science and Information Systems (Lisbon, Portugal July 15-19, 2014). The e-Learning 2014 conference aims to address the…

Using Comparison Peers as an Objective Measure of Social Validity: Recommendations for Researchers

ERIC Educational Resources Information Center

Ennis, Robin Parks; Jolivette, Kristine; Fredrick, Laura D.; Alberto, Paul A.

2013-01-01

In this article, students with challenging behaviors (SWCB) in a classroom may include those with attention-deficit/hyperactivity disorder (ADHD), autism spectrum disorder (ASD), emotional and behavioral disorders (E/BD), intellectual disabilities, learning disabilities, and those at risk of these disabilities. These students may present…

Educators Weigh E-Textbook Cost Comparisons

ERIC Educational Resources Information Center

Tomassini, Jason

2012-01-01

During the first-ever Digital Learning Day, U.S. Secretary of Education Arne Duncan and Federal Communications Commission chief Julius Genachowski unveiled an ambitious plan earlier this year to get schools to switch from print to digital textbooks by 2017. Dubbed the Digital Textbook Playbook, it's a recommendation for how schools could transform…

Semi-supervised learning for ordinal Kernel Discriminant Analysis.

PubMed

Pérez-Ortiz, M; Gutiérrez, P A; Carbonero-Ruz, M; Hervás-Martínez, C

2016-12-01

Ordinal classification considers those classification problems where the labels of the variable to predict follow a given order. Naturally, labelled data is scarce or difficult to obtain in this type of problems because, in many cases, ordinal labels are given by a user or expert (e.g. in recommendation systems). Firstly, this paper develops a new strategy for ordinal classification where both labelled and unlabelled data are used in the model construction step (a scheme which is referred to as semi-supervised learning). More specifically, the ordinal version of kernel discriminant learning is extended for this setting considering the neighbourhood information of unlabelled data, which is proposed to be computed in the feature space induced by the kernel function. Secondly, a new method for semi-supervised kernel learning is devised in the context of ordinal classification, which is combined with our developed classification strategy to optimise the kernel parameters. The experiments conducted compare 6 different approaches for semi-supervised learning in the context of ordinal classification in a battery of 30 datasets, showing (1) the good synergy of the ordinal version of discriminant analysis and the use of unlabelled data and (2) the advantage of computing distances in the feature space induced by the kernel function. Copyright © 2016 Elsevier Ltd. All rights reserved.

Dynamic Lesson Planning in EFL Reading Classes through a New e-Learning System

ERIC Educational Resources Information Center

Okada, Takeshi; Sakamoto, Yasunobu

2015-01-01

This paper illustrates how lesson plans, teaching styles and assessment can be dynamically adapted on a real-time basis during an English as a Foreign Language (EFL) reading classroom session by using a new e-learning system named iBELLEs (interactive Blended English Language Learning Enhancement system). iBELLEs plays a crucial role in filling…

Multi-sensor physical activity recognition in free-living.

PubMed

Ellis, Katherine; Godbole, Suneeta; Kerr, Jacqueline; Lanckriet, Gert

Physical activity monitoring in free-living populations has many applications for public health research, weight-loss interventions, context-aware recommendation systems and assistive technologies. We present a system for physical activity recognition that is learned from a free-living dataset of 40 women who wore multiple sensors for seven days. The multi-level classification system first learns low-level codebook representations for each sensor and uses a random forest classifier to produce minute-level probabilities for each activity class. Then a higher-level HMM layer learns patterns of transitions and durations of activities over time to smooth the minute-level predictions. [Formula: see text].

Cost Optimization in E-Learning-Based Education Systems: Implementation and Learning Sequence

ERIC Educational Resources Information Center

Fazlollahtabar, Hamed; Yousefpoor, Narges

2009-01-01

Increasing the effectiveness of e-learning has become one of the most practically and theoretically important issues within both educational engineering and information system fields. The development of information technologies has contributed to growth in online training as an important education method. The online training environment enables…

Technology tools to support reading in the digital age.

PubMed

Biancarosa, Gina; Griffiths, Gina G

2012-01-01

Advances in digital technologies are dramatically altering the texts and tools available to teachers and students. These technological advances have created excitement among many for their potential to be used as instructional tools for literacy education. Yet with the promise of these advances come issues that can exacerbate the literacy challenges identified in the other articles in this issue. In this article Gina Biancarosa and Gina Griffiths characterize how literacy demands have changed in the digital age and how challenges identified in other articles in the issue intersect with these new demands. Rather than seeing technology as something to be fit into an already crowded education agenda, Biancarosa and Griffiths argue that technology can be conceptualized as affording tools that teachers can deploy in their quest to create young readers who possess the higher levels of literacy skills and background knowledge demanded by today's information-based society. Biancarosa and Griffiths draw on research to highlight some of the ways technology has been used to build the skills and knowledge needed both by children who are learning to read and by those who have progressed to reading to learn. In their review of the research, Biancarosa and Griffiths focus on the hardware and software used to display and interface with digital text, or what they term e-reading technology. Drawing on studies of e-reading technology and computer technology more broadly, they also reflect on the very real, practical challenges to optimal use of e-reading technology. The authors conclude by presenting four recommendations to help schools and school systems meet some of the challenges that come with investing in e-reading technology: use only technologies that support Universal Design for Learning; choose evidence-based tools; provide technology users with systemic supports; and capitalize on the data capacities and volume of information that technology provides.

Emergency medicine clerkship curriculum in a high-income developing country: methods for development and application.

PubMed

Cevik, Arif Alper; Cakal, Elif Dilek; Abu-Zidan, Fikri M

2018-06-07

The published recommendations for international emergency medicine curricula cover the content, but exclude teaching and learning methods, assessment, and evaluation. We aim to provide an overview on available emergency medicine clerkship curricula and report the development and application experience of our own curriculum. Our curriculum is an outcome-based education, enriched by e-learning and various up-to-date pedagogic principles. Teaching and learning methods, assessment, and evaluation are described. The theory behind our practice in the light of recent literature is discussed aiming to help other colleagues from developing countries to have a clear map for developing and tailoring their own curricula depending on their needs. The details of our emergency medicine clerkship will serve as an example for developing and developed countries having immature undergraduate emergency medicine clerkship curricula. However, these recommendations will differ in various settings depending on available resources. The main concept of curriculum development is to create a curriculum having learning outcomes and content relevant to the local context, and then align the teaching and learning activities, assessments, and evaluations to be in harmony. This may assure favorable educational outcome even in resource limited settings.

On Social e-Learning

NASA Astrophysics Data System (ADS)

Kim, Won; Jeong, Ok-Ran

Social Web sites include social networking sites and social media sites. They make it possible for people to share user-created contents online and to interact and stay connected with their online people networks. The social features of social Web sites, appropriately adapted, can help turn e-learning into social e-learning and make e-learning significantly more effective. In this paper, we develop requirements for social e-learning systems. They include incorporating the many of the social features of social Web sites, accounting for all key stakeholders and learning subjects, and curbing various types of misuses by people. We also examine the capabilities of representative social e-learning Web sites that are available today.

E-Learning in Supplemental Educational Systems in Taiwan: Present Status and Future Challenges

ERIC Educational Resources Information Center

Zhang, Ke; Hung, Jui-Long

2009-01-01

As Taiwan's full-scale e-learning initiatives moved to the seventh year in 2009, the current status and challenges of e-learning development there are yet to be fully understood. Further extending Zhang and Hung's (2006) investigation on e-learning in all universities and colleges in Taiwan, this study investigated the after-school programs (ASPs)…

Coordinated, Collaborative and Coherent: Developing and Implementing E-Learning Guidelines within a National Tertiary Education System

ERIC Educational Resources Information Center

Suddaby, Gordon; Milne, John

2008-01-01

Purpose: The paper aims to discusses two complementary initiatives focussed on developing and implementing e-learning guidelines to support good pedagogy in e-learning practice. Design/methodology/approach: The first initiative is the development of a coherent set of open access e-learning guidelines for the New Zealand tertiary sector. The second…

Aberrant Learning Achievement Detection Based on Person-Fit Statistics in Personalized e-Learning Systems

ERIC Educational Resources Information Center

Liu, Ming-Tsung; Yu, Pao-Ta

2011-01-01

A personalized e-learning service provides learning content to fit learners' individual differences. Learning achievements are influenced by cognitive as well as non-cognitive factors such as mood, motivation, interest, and personal styles. This paper proposes the Learning Caution Indexes (LCI) to detect aberrant learning patterns. The philosophy…

Course Management Systems and Blended Learning: An Innovative Learning Approach

ERIC Educational Resources Information Center

Chou, Amy Y.; Chou, David C.

2011-01-01

This article utilizes Rogers' innovation-decision process model (2003) and Beckman and Berry's innovation process model (2007) to create an innovative learning map that illustrates three learning methods (i.e., face-to-face learning, online learning, and blended learning) in two types of innovation (i.e., incremental innovation and radical…

Evaluation of the impact of a diabetes education eLearning program for school personnel on diabetes knowledge, knowledge retention and confidence in caring for students with diabetes.

PubMed

Taha, Nehad A; Rahme, Zahra; Mesbah, Naglaa; Mahmoud, Fatma; AlKandari, Sarah; Othman, Nashwa; Sharaikha, Hanan; Lari, Bashayer S; AlBeloushi, Shaima; Saad, Eglal; Arefanian, Hossein; Sukkar, Faten F

2018-05-01

To study the impact of a novel comprehensive eLearning approach in delivering diabetes related education program that includes knowledge and sets of practices to the school personnel in Kuwait to enable them to provide a supportive environment for students with diabetes. The program was designed with three components namely; knowledge, skills and recommendations. The diabetes knowledge was delivered through an interactive eLearning program, the effectiveness of which was assessed using diabetes knowledge questionnaires which were deployed pre- and post-course delivery. Additionally, the participants' knowledge retention and confidence in caring for a student with diabetes were evaluated at 6 or 12 months post-intervention. A total of 124 public schools' personnel participated in the program. Post e-Learning delivery, diabetes knowledge increased significantly from baseline (p < 0.0001) and knowledge was retained over 6 and 12 months. Average of overall confidence scores in caring for students with diabetes was 61.86% in all items of care. Offering eLearning diabetes education for school personnel increases their knowledge which can be retained for up to 12 months and imparts confidence in caring for students with diabetes. This novel approach of delivering diabetes education will help school personnel in managing students with diabetes. Copyright © 2018 Elsevier B.V. All rights reserved.

Driver's Enhanced Vision System (DEVS)

DOT National Transportation Integrated Search

1996-12-23

This advisory circular (AC) contains performance standards, specifications, and : recommendations for Drivers Enhanced Vision sSystem (DEVS). The FAA recommends : the use of the guidance in this publication for the design and installation of : DEVS e...

The difference of delay time in monitoring system of facial acupressure learning media using bluetooth, wireless and ethernet

NASA Astrophysics Data System (ADS)

Agustin, Eny Widhia; Hangga, Arimaz; Fahrian, Muhammad Iqbal; Azhari, Anis Fikri

2018-03-01

The implementation of monitoring system in the facial acupressure learning media could increase the students' proficiency. However the common learning media still has not implemented a monitoring system in their learning process. This research was conducted to implement monitoring system in the mannequin head prototype as a learning media of facial acupressure using Bluetooth, wireless and Ethernet. The results of the implementation of monitoring system in the prototype showed that there were differences in the delay time between Bluetooth and wireless or Ethernet. The results data showed no difference in the average delay time between the use of Bluetooth with wireless and the use of Bluetooth with Ethernet in monitoring system of facial acupressure learning media. From all the facial acupressure points, the forehead facial acupressure point has the longest delay time of 11.93 seconds. The average delay time in all 3 class rooms was 1.96 seconds therefore the use of Bluetooth, wireless and Ethernet is highly recommended in the monitoring system of facial acupressure.

System Data Bases In European Satellites Programs: Lessons Learned and Recommendations

NASA Astrophysics Data System (ADS)

Passot, X.; Denuault, D.; Guiral, Ph.; Kerjean, L.; Lebreton, D.; Lecrvain, C.; Valera, S.

2007-08-01

This paper is intended for European space eningeers who must design or interact with all or part of a system database, hereafter referred to as 'SDB'. The document presents the objectives of a system database (SDB), describes the development of an SDB project from the specification stage until operations, and preovides recommendations so that an effective system can be obtained. As part of return on experience, the document gives an overview of exisiting systems in the European space industry. To prepare the new systems, it presents the services to be provided, the tools available and the emerging standars towards which SDBs must converge.

Component-Based Approach in Learning Management System Development

ERIC Educational Resources Information Center

Zaitseva, Larisa; Bule, Jekaterina; Makarov, Sergey

2013-01-01

The paper describes component-based approach (CBA) for learning management system development. Learning object as components of e-learning courses and their metadata is considered. The architecture of learning management system based on CBA being developed in Riga Technical University, namely its architecture, elements and possibilities are…

Electronic prescribing in pediatrics: toward safer and more effective medication management.

PubMed

Johnson, Kevin B; Lehmann, Christoph U

2013-04-01

This technical report discusses recent advances in electronic prescribing (e-prescribing) systems, including the evidence base supporting their limitations and potential benefits. Specifically, this report acknowledges that there are limited but positive pediatric data supporting the role of e-prescribing in mitigating medication errors, improving communication with dispensing pharmacists, and improving medication adherence. On the basis of these data and on the basis of federal statutes that provide incentives for the use of e-prescribing systems, the American Academy of Pediatrics recommends the adoption of e-prescribing systems with pediatric functionality. This report supports the accompanying policy statement from the American Academy of Pediatrics recommending the adoption of e-prescribing by pediatric health care providers.

Toward a Learner-Centered System for Adult Learning

ERIC Educational Resources Information Center

Hermans, Henry; Kalz, Marco; Koper, Rob

2013-01-01

Purpose: The purpose of this paper is to present an e-learning system that integrates the use of concepts of virtual learning environments, personal learning environments, and social network sites. The system is based on a learning model which comprises and integrates three learning contexts for the adult learner: the formal, instructional…

Time-Decayed User Profile for Second Language Vocabulary Learning System

ERIC Educational Resources Information Center

Li, Li; Wei, Xiao

2014-01-01

Vocabulary learning is the foundation of second language learning. Many E-learning systems have been developed to help learners to learn vocabulary efficiently. Most of these systems employ Ebbinghaus Forgetting Curve to make the review schedule for learners. However, learners are different in learning ability and the review schedule based on…

3D interactive augmented reality-enhanced digital learning systems for mobile devices

NASA Astrophysics Data System (ADS)

Feng, Kai-Ten; Tseng, Po-Hsuan; Chiu, Pei-Shuan; Yang, Jia-Lin; Chiu, Chun-Jie

2013-03-01

With enhanced processing capability of mobile platforms, augmented reality (AR) has been considered a promising technology for achieving enhanced user experiences (UX). Augmented reality is to impose virtual information, e.g., videos and images, onto a live-view digital display. UX on real-world environment via the display can be e ectively enhanced with the adoption of interactive AR technology. Enhancement on UX can be bene cial for digital learning systems. There are existing research works based on AR targeting for the design of e-learning systems. However, none of these work focuses on providing three-dimensional (3-D) object modeling for en- hanced UX based on interactive AR techniques. In this paper, the 3-D interactive augmented reality-enhanced learning (IARL) systems will be proposed to provide enhanced UX for digital learning. The proposed IARL systems consist of two major components, including the markerless pattern recognition (MPR) for 3-D models and velocity-based object tracking (VOT) algorithms. Realistic implementation of proposed IARL system is conducted on Android-based mobile platforms. UX on digital learning can be greatly improved with the adoption of proposed IARL systems.

Explaining University Students' Effective Use of E-Learning Platforms

ERIC Educational Resources Information Center

Moreno, Valter; Cavazotte, Flavia; Alves, Isabela

2017-01-01

Students' success in e-learning programs depends on how they adopt and embed technology into their learning activities. Drawing on the Technology Acceptance Model, we propose a framework to explain students' intention to use e-learning platforms effectively, that is, their intention to fully exploit system's functionalities in leaning processes,…

Temporal Patterns and Dynamics of E-Learning Usage in Medical Education

ERIC Educational Resources Information Center

Panzarasa, Pietro; Kujawski, Bernard; Hammond, Edward J.; Roberts, C. Michael

2016-01-01

Despite the increasing popularity of e-learning systems across a variety of educational programmes, there is relatively little understanding of how students and trainees distribute their learning efforts over time. This study aimed to analyse the usage patterns of an e-learning resource designed to support specialty training. Data were collected…

From Requirements to Code: Issues and Learning in IS Students' Systems Development Projects

ERIC Educational Resources Information Center

Scott, Elsje

2008-01-01

The Computing Curricula (2005) place Information Systems (IS) at the intersection of exact sciences (e.g. General Systems Theory), technology (e.g. Computer Science), and behavioral sciences (e.g. Sociology). This presents particular challenges for teaching and learning, as future IS professionals need to be equipped with a wide range of…

Comparing the effect of e-learning and educational booklet on the childbirth self-efficacy: a randomized controlled clinical trial.

PubMed

Abbasi, Parastoo; Mohammad-Alizadeh Charandabi, Sakineh; Mirghafourvand, Mojgan

2018-03-01

This study aimed to compare the effect of e-learning and educational booklet on the childbirth self-efficacy (CBSE). This randomized controlled clinical trial was conducted on 153 pregnant women referred to health centers in the city of Miandoab, Iran in 2015-2016. Participants were assigned into two intervention groups (e-learning and educational booklet) and the control group. A single face-to-face session was held for intervention groups about the management of labor pain in 30-34 weeks of pregnancy and the booklet and software were provided. The CBSE questionnaire was filled out by the participants before intervention and active phase of labor at 4-5 cm dilatation of cervix. One-way ANOVA and ANCOVA test with adjusting the baseline scores were used to compare the mean score of self-efficacy among study groups respectively before and after the intervention. There was no significant difference between the three groups in terms of socio-demographic characteristics (p > 0.05). After the intervention, the mean score of the CBSE in the educational booklet group (adjusted mean difference: 113.4; confidence interval 95%: 100.7-126.1) and e-learning group (159.3; 146.5-172.0) was significantly higher than the control group. Also, the mean score of the CBSE in the e-learning group had a significant increase compared to the educational booklet group (45.9; 33.0-58.7). The results indicate that e-learning and educational booklet are effective in enhancing mothers' CBSE. Thus, the mothers are recommended to use these teaching methods.

The Image of E-Learning: Perceptions about a Chilean University and the E-Learning System in the Context of Chile

ERIC Educational Resources Information Center

Farcas, Daniel

2010-01-01

The purpose of this research is to determine the image of a Chilean university, as perceived by those inside and outside of the institution, in contrast with the general image of the e-learning system in Chile. The internal perceptions are those of current students and graduates of this Chilean university, while the external perceptions are those…

[The basic life support guidance of American Heart Association (AHA)].

PubMed

Higashioka, Hiroaki; Yonemori, Terutake; Maeda, Daigen

2011-04-01

The American Heart Association (AHA) and other member councils of International Liaison Committee on Resuscitation (ILCOR) complete review of resuscitation science every 5 years. And ILCOR publishes Consensus on Science with Treatment Recommendations(CoSTR). The AHA published "American Heart Association (AHA) Guidelines for Cardiopulmonary Resuscitation(CPR) and Emergency Cardiovascular Care (ECC)" (G2010), that basis on CoSTR 2010 on Oct. 18th, 2010. The switchover to new curriculum based on G2010 on and after Mar. 1st, 2011 is the policy of AHA in their all training courses. The AHA maintains the quality of their training courses by some systems. AHA instructors are trained by some steps of instructor courses and monitoring systems and update their scientific knowledge on resuscitation by e-learning. The authors introduce an outline of basic life support for healthcare providers, the instructor training systems of AHA and summary of basic life support basis on G2010.

Hybrid Platforms, Tools, and Resources

ERIC Educational Resources Information Center

Linder, Kathryn E.; Bruenjes, Linda S.; Smith, Sarah A.

2017-01-01

This chapter discusses common tools and resources for building a hybrid course in a higher education setting and provides recommendations for best practices in Learning Management Systems and Open Educational Resources.

Part-time, e-learning interprofessional pain management education for the primary and community care setting.

PubMed

Jenkins, M Sue; Bean, W Geinor; Luke, Karl

2014-02-01

Chronic pain is a long-term condition, which has a major impact on patients, carers and the health service. Despite the Chief Medical Officer setting chronic pain and its management as a national priority in 2008, the utilisation of health services by patients with long-term conditions is increasing, people with pain-related problems are not seen early enough and pain-related attendances to accident and emergency departments is increasing. Early assessment with appropriate evidence-based intervention and early recognition of when to refer to specialist and specialised services is key to addressing the growing numbers suffering with chronic pain. Pain education is recommended in many guidelines, as part of the process to address pain in these issues. Cardiff University validated an e-learning, master's level pain management module for healthcare professionals working in primary and community care. The learning outcomes revolve around robust early assessment and management of chronic pain in primary and community care and the knowledge when to refer on. The module focuses on the biopsychosocial aspects of pain and its management, using a blog as an online case study assessment for learners to demonstrate their knowledge, understanding and application to practice. The module has resulted in learners developing evidence-based recommendations, for pain management in clinical practice.

Satellite Power System (SPS) student participation

NASA Technical Reports Server (NTRS)

Ladwig, A.; David, L.

1978-01-01

A assessment of methods which are appropriate to initiate student participation in the discussion of a satellite power system (SPS) is presented. Methods which are incorporated into the campus environment and the on-going learning experience are reported. The discussion of individual methods for student participation includes a description of the technique, followed by comments on its enhancing and limiting factors, references to situations where the method has been demonstrated, and a brief consideration of cost factors. The two categories of recommendations presented are: an outline of fourteen recommendations addressing specific activities related to student participation in the discussion of SPS, and three recommendations pertaining to student participation activities in general.

Consumers’ intention to use health recommendation systems to receive personalized nutrition advice

PubMed Central

2013-01-01

Background Sophisticated recommendation systems are used more and more in the health sector to assist consumers in healthy decision making. In this study we investigate consumers' evaluation of hypothetical health recommendation systems that provide personalized nutrition advice. We examine consumers' intention to use such a health recommendation system as a function of options related to the underlying system (e.g. the type of company that generates the advice) as well as intermediaries (e.g. general practitioner) that might assist in using the system. We further explore if the effect of both the system and intermediaries on intention to use a health recommendation system are mediated by consumers' perceived effort, privacy risk, usefulness and enjoyment. Methods 204 respondents from a consumer panel in the Netherlands participated. The data were collected by means of a questionnaire. Each respondent evaluated three hypothetical health recommendation systems on validated multi-scale measures of effort, privacy risk, usefulness, enjoyment and intention to use the system. To test the hypothesized relationships we used regression analyses. Results We find evidence that the options related to the underlying system as well as the intermediaries involved influence consumers' intention to use such a health recommendation system and that these effects are mediated by perceptions of effort, privacy risk, usefulness and enjoyment. Also, we find that consumers value usefulness of a system more and enjoyment less when a general practitioner advices them to use a health recommendation system than if they use it out of their own curiosity. Conclusions We developed and tested a model of consumers' intention to use a health recommendation system. We found that intermediaries play an important role in how consumers evaluate such a system over and above options of the underlying system that is used to generate the recommendation. Also, health-related information services seem to rely on endorsement by the medical sector. This has considerable implications for the distribution as well as the communication channels of health recommendation systems which may be quite difficult to put into practice outside traditional health service channels. PMID:23557363

Consumers' intention to use health recommendation systems to receive personalized nutrition advice.

PubMed

Wendel, Sonja; Dellaert, Benedict G C; Ronteltap, Amber; van Trijp, Hans C M

2013-04-04

Sophisticated recommendation systems are used more and more in the health sector to assist consumers in healthy decision making. In this study we investigate consumers' evaluation of hypothetical health recommendation systems that provide personalized nutrition advice. We examine consumers' intention to use such a health recommendation system as a function of options related to the underlying system (e.g. the type of company that generates the advice) as well as intermediaries (e.g. general practitioner) that might assist in using the system. We further explore if the effect of both the system and intermediaries on intention to use a health recommendation system are mediated by consumers' perceived effort, privacy risk, usefulness and enjoyment. 204 respondents from a consumer panel in the Netherlands participated. The data were collected by means of a questionnaire. Each respondent evaluated three hypothetical health recommendation systems on validated multi-scale measures of effort, privacy risk, usefulness, enjoyment and intention to use the system. To test the hypothesized relationships we used regression analyses. We find evidence that the options related to the underlying system as well as the intermediaries involved influence consumers' intention to use such a health recommendation system and that these effects are mediated by perceptions of effort, privacy risk, usefulness and enjoyment. Also, we find that consumers value usefulness of a system more and enjoyment less when a general practitioner advices them to use a health recommendation system than if they use it out of their own curiosity. We developed and tested a model of consumers' intention to use a health recommendation system. We found that intermediaries play an important role in how consumers evaluate such a system over and above options of the underlying system that is used to generate the recommendation. Also, health-related information services seem to rely on endorsement by the medical sector. This has considerable implications for the distribution as well as the communication channels of health recommendation systems which may be quite difficult to put into practice outside traditional health service channels.

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

ERIC Educational Resources Information Center

Parlakkilic, Alattin

2015-01-01

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

Building an Inclusive Definition of E-Learning: An Approach to the Conceptual Framework

ERIC Educational Resources Information Center

Sangra, Albert; Vlachopoulos, Dimitrios; Cabrera, Nati

2012-01-01

E-learning is part of the new dynamic that characterises educational systems at the start of the 21st century. Like society, the concept of e-learning is subject to constant change. In addition, it is difficult to come up with a single definition of e-learning that would be accepted by the majority of the scientific community. The different…

DCS facilitation of fear extinction and exposure-based therapy may rely on lower-level, automatic mechanisms

PubMed Central

Grillon, Christian

2009-01-01

Exposure-based therapy (EBT), a leading technique in the treatment of a range of anxiety disorders, is facilitated by D-cycloserine (DCS), a partial N-methyl-D-aspartate (NMDA) receptor agonist. This review discusses the potential mechanisms involved in this facilitation, and its implications for developing theories of fear conditioning in humans. Basic research in rodents suggests that DCS acts by speeding up extinction. However, several lab-based investigations found that DCS had no effect on extinction in humans. This paper proposes that these observations can be accounted for by a dual-model theory of fear conditioning in humans that engages two complementary defensive systems: a reflexive lower-order system independent of conscious awareness and a higher-order cognitive system associated with conscious awareness of danger and expectation. DCS studies in animals appear to have explored lower-order conditioning mechanisms, whereas human studies have explored higher-order cognitive processes. These observations suggest that DCS may act preferentially on lower- rather than higher-order learning. This paper presents evidence suggesting that, in humans, DCS may similarly affect lower-order learning during EBT and, consequently, may be less effective during cognitive therapy (e.g., cognitive restructuring). Finally, it is recommended that extinction studies using DCS in humans be conducted using fear-relevant stimuli (e.g., snakes), short conditional stimulus-unconditioned stimulus (CS-US) intervals, and intense US in order to promote lower-order conditioning processes. PMID:19520359

Organizational Factors that Influence E-Learning Development and Implementation in the Corporate Context

ERIC Educational Resources Information Center

Wang, Feng-Kwei; Schwen, Thomas

2003-01-01

In the context of Autoparts, a multinational manufacturer for automotive electronics, Lotus Notes was employed to create an e-learning system. This system was titled "Using Notes for Case-based Learning Environments" (UNCLE). The UNCLE project attempted to encapsulate knowledge and understanding of those organizational factors that might influence…

An Active, Reflective Learning Cycle for E-Commerce Classes: Learning about E-Commerce by Doing and Teaching

ERIC Educational Resources Information Center

Abrahams, Alan S.; Singh, Tirna

2010-01-01

Active, experiential learning is an important component in information systems education, ensuring that students gain an appreciation for both practical and theoretical information systems concepts. Typically, students in active, experiential classes engage in real world projects for commercial companies or not-for-profit organizations. In the…

Semantic Overlays in Educational Content Networks--The hylOs Approach

ERIC Educational Resources Information Center

Engelhardt, Michael; Hildebrand, Arne; Lange, Dagmar; Schmidt, Thomas C.

2006-01-01

Purpose: The paper aims to introduce an educational content management system, Hypermedia Learning Objects System (hylOs), which is fully compliant to the IEEE LOM eLearning object metadata standard. Enabled through an advanced authoring toolset, hylOs allows the definition of instructional overlays of a given eLearning object mesh.…

An Investigation of Employees' Use of E-Learning Systems: Applying the Technology Acceptance Model

ERIC Educational Resources Information Center

Lee, Yi-Hsuan; Hsieh, Yi-Chuan; Chen, Yen-Hsun

2013-01-01

The purpose of this study is to apply the technology acceptance model to examine the employees' attitudes and acceptance of electronic learning (e-learning) systems in organisations. This study examines four factors (organisational support, computer self-efficacy, prior experience and task equivocality) that are believed to influence employees'…

Embedding Mixed-Reality Laboratories into E-Learning Systems for Engineering Education

ERIC Educational Resources Information Center

Al-Tikriti, Munther N.; Al-Aubidy, Kasim M.

2013-01-01

E-learning, virtual learning and mixed reality techniques are now a global integral part of the academic and educational systems. They provide easier access to educational opportunities to a very wide spectrum of individuals to pursue their educational and qualification objectives. These modern techniques have the potentials to improve the quality…

TrustRank: a Cold-Start tolerant recommender system

NASA Astrophysics Data System (ADS)

Zou, Haitao; Gong, Zhiguo; Zhang, Nan; Zhao, Wei; Guo, Jingzhi

2015-02-01

The explosive growth of the World Wide Web leads to the fast advancing development of e-commerce techniques. Recommender systems, which use personalised information filtering techniques to generate a set of items suitable to a given user, have received considerable attention. User- and item-based algorithms are two popular techniques for the design of recommender systems. These two algorithms are known to have Cold-Start problems, i.e., they are unable to effectively handle Cold-Start users who have an extremely limited number of purchase records. In this paper, we develop TrustRank, a novel recommender system which handles the Cold-Start problem by leveraging the user-trust networks which are commonly available for e-commerce applications. A user-trust network is formed by friendships or trust relationships that users specify among them. While it is straightforward to conjecture that a user-trust network is helpful for improving the accuracy of recommendations, a key challenge for using user-trust network to facilitate Cold-Start users is that these users also tend to have a very limited number of trust relationships. To address this challenge, we propose a pre-processing propagation of the Cold-Start users' trust network. In particular, by applying the personalised PageRank algorithm, we expand the friends of a given user to include others with similar purchase records to his/her original friends. To make this propagation algorithm scalable to a large amount of users, as required by real-world recommender systems, we devise an iterative computation algorithm of the original personalised TrustRank which can incrementally compute trust vectors for Cold-Start users. We conduct extensive experiments to demonstrate the consistently improvement provided by our proposed algorithm over the existing recommender algorithms on the accuracy of recommendations for Cold-Start users.

[Digital learning object for diagnostic reasoning in nursing applied to the integumentary system].

PubMed

da Costa, Cecília Passos Vaz; Luz, Maria Helena Barros Araújo

2015-12-01

To describe the creation of a digital learning object for diagnostic reasoning in nursing applied to the integumentary system at a public university of Piaui. A methodological study applied to technological production based on the pedagogical framework of problem-based learning. The methodology for creating the learning object observed the stages of analysis, design, development, implementation and evaluation recommended for contextualized instructional design. The revised taxonomy of Bloom was used to list the educational goals. The four modules of the developed learning object were inserted into the educational platform Moodle. The theoretical assumptions allowed the design of an important online resource that promotes effective learning in the scope of nursing education. This study should add value to nursing teaching practices through the use of digital learning objects for teaching diagnostic reasoning applied to skin and skin appendages.

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…

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

ERIC Educational Resources Information Center

Beckmann, Jennifer; Bertel, Sven; Zander, Steffi

2015-01-01

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

Web-Based Evaluation System for Learning Management Systems

ERIC Educational Resources Information Center

Momani, Alaa

2010-01-01

E-learning systems have become an issue in recent years. A learning management system (LMS) is an electronic environment helps the educational society to communicate, exchange information, manage, and schedule the learning process. This study has provided a web-based evaluation system that may help the users to choose the convenient system…

[E-Learning in radiology; the practical use of the content management system ILIAS].

PubMed

Schütze, B; Mildenberger, P; Kämmerer, M

2006-05-01

Due to the possibility of using different kinds of visualization, e-learning has the advantage of allowing individualized learning. A check should be performed to determine whether the use of the web-based content management system ILIAS simplifies the writing and production of electronic learning modules in radiology. Internet-based e-learning provides access to existing learning modules regardless of time and location, since fast Internet connections are readily available. Web Content Management Systems (WCMS) are suitable platforms for imparting radiology-related information (visual abilities like the recognition of patterns as well as interdisciplinary specialized knowledge). The open source product ILIAS is a free WCMS. It is used by many universities and is accepted by both students and lecturers. Its modular and object-oriented software architecture makes it easy to adapt and enlarge the platform. The employment of e-learning standards such as LOM and SCORM within ILIAS makes it possible to reuse contents, even if the platform has to be changed. ILIAS renders it possible to provide students with texts, images, or files of any other kind within a learning context which is defined by the lecturer. Students can check their acquired knowledge via online testing and receive direct performance feedback. The significant interest that students have shown in ILIAS proves that e-learning can be a useful addition to conventional learning methods.

An effective trust-based recommendation method using a novel graph clustering algorithm

NASA Astrophysics Data System (ADS)

Moradi, Parham; Ahmadian, Sajad; Akhlaghian, Fardin

2015-10-01

Recommender systems are programs that aim to provide personalized recommendations to users for specific items (e.g. music, books) in online sharing communities or on e-commerce sites. Collaborative filtering methods are important and widely accepted types of recommender systems that generate recommendations based on the ratings of like-minded users. On the other hand, these systems confront several inherent issues such as data sparsity and cold start problems, caused by fewer ratings against the unknowns that need to be predicted. Incorporating trust information into the collaborative filtering systems is an attractive approach to resolve these problems. In this paper, we present a model-based collaborative filtering method by applying a novel graph clustering algorithm and also considering trust statements. In the proposed method first of all, the problem space is represented as a graph and then a sparsest subgraph finding algorithm is applied on the graph to find the initial cluster centers. Then, the proposed graph clustering algorithm is performed to obtain the appropriate users/items clusters. Finally, the identified clusters are used as a set of neighbors to recommend unseen items to the current active user. Experimental results based on three real-world datasets demonstrate that the proposed method outperforms several state-of-the-art recommender system methods.

Importance Of Quality Control in Reducing System Risk, a Lesson Learned From The Shuttle and a Recommendation for Future Launch Vehicles

NASA Technical Reports Server (NTRS)

Safie, Fayssal M.; Messer, Bradley P.

2006-01-01

This paper presents lessons learned from the Space Shuttle return to flight experience and the importance of these lessons learned in the development of new the NASA Crew Launch Vehicle (CLV). Specifically, the paper discusses the relationship between process control and system risk, and the importance of process control in improving space vehicle flight safety. It uses the External Tank (ET) Thermal Protection System (TPS) experience and lessons learned from the redesign and process enhancement activities performed in preparation for Return to Flight after the Columbia accident. The paper also, discusses in some details, the Probabilistic engineering physics based risk assessment performed by the Shuttle program to evaluate the impact of TPS failure on system risk and the application of the methodology to the CLV.

Clinical Inertia in a Randomized Trial of Telemedicine-Based Chronic Disease Management: Lessons Learned.

PubMed

Barton, Anna Beth; Okorodudu, Daniel E; Bosworth, Hayden B; Crowley, Matthew J

2018-01-17

Treatment nonadherence and clinical inertia perpetuate poor cardiovascular disease (CVD) risk factor control. Telemedicine interventions may counter both treatment nonadherence and clinical inertia. We explored why a telemedicine intervention designed to reduce treatment nonadherence and clinical inertia did not improve CVD risk factor control, despite enhancing treatment adherence versus usual care. In this analysis of a randomized trial, we studied recipients of the 12-month telemedicine intervention. This intervention comprised two nurse-administered components: (1) monthly self-management education targeting improved treatment adherence; and (2) quarterly medication management facilitation designed to support treatment intensification by primary care (thereby reducing clinical inertia). For each medication management facilitation encounter, we ascertained whether patients met treatment goals, and if not, whether primary care recommended treatment intensification following the encounter. We assessed disease control associated with encounters, where intensification was/was not recommended. We examined 455 encounters across 182 intervention recipients (100% African Americans with type 2 diabetes). Even after accounting for valid reasons for deferring intensification (e.g., treatment nonadherence), intensification was not recommended in 67.5% of encounters in which hemoglobin A1c was above goal, 72.5% in which systolic blood pressure was above goal, and 73.9% in which low-density lipoprotein cholesterol was above goal. In each disease state, treatment intensification was more likely with poorer control. Despite enhancing treatment adherence, this intervention was unsuccessful in countering clinical inertia, likely explaining its lack of effect on CVD risk factors. We identify several lessons learned that may benefit investigators and healthcare systems.

An Intelligent E-Learning System Based on Learner Profiling and Learning Resources Adaptation

ERIC Educational Resources Information Center

Tzouveli, Paraskevi; Mylonas, Phivos; Kollias, Stefanos

2008-01-01

Taking advantage of the continuously improving, web-based learning systems plays an important role for self-learning, especially in the case of working people. Nevertheless, learning systems do not generally adapt to learners' profiles. Learners have to spend a lot of time before reaching the learning goal that is compatible with their knowledge…

E-Learning Systems: Promises and Pitfalls

ERIC Educational Resources Information Center

Chan, Carlyle H.; Robbins, Lisa I.

2006-01-01

Objective: This review examines the use of e-learning systems in psychiatric education. Method: The authors review the Instructional System Design process, focusing on ADDIE (Analysis, Design, Development, Implementation, and Evaluation). The authors also report on two representative teaching projects, discussing the planning, work, and assessment…

Implementation of a Framework for Collaborative Social Networks in E-Learning

ERIC Educational Resources Information Center

Maglajlic, Seid

2016-01-01

This paper describes the implementation of a framework for the construction and utilization of social networks in ELearning. These social networks aim to enhance collaboration between all E-Learning participants (i.e. both traineeto-trainee and trainee-to-tutor communication are targeted). E-Learning systems that include a so-called "social…

NELasso: Group-Sparse Modeling for Characterizing Relations Among Named Entities in News Articles.

PubMed

Tariq, Amara; Karim, Asim; Foroosh, Hassan

2017-10-01

Named entities such as people, locations, and organizations play a vital role in characterizing online content. They often reflect information of interest and are frequently used in search queries. Although named entities can be detected reliably from textual content, extracting relations among them is more challenging, yet useful in various applications (e.g., news recommending systems). In this paper, we present a novel model and system for learning semantic relations among named entities from collections of news articles. We model each named entity occurrence with sparse structured logistic regression, and consider the words (predictors) to be grouped based on background semantics. This sparse group LASSO approach forces the weights of word groups that do not influence the prediction towards zero. The resulting sparse structure is utilized for defining the type and strength of relations. Our unsupervised system yields a named entities' network where each relation is typed, quantified, and characterized in context. These relations are the key to understanding news material over time and customizing newsfeeds for readers. Extensive evaluation of our system on articles from TIME magazine and BBC News shows that the learned relations correlate with static semantic relatedness measures like WLM, and capture the evolving relationships among named entities over time.

Usability Evaluation of the Student Centered e-Learning Environment

ERIC Educational Resources Information Center

Junus, Inas Sofiyah; Santoso, Harry Budi; Isal, R. Yugo K.; Utomo, Andika Yudha

2015-01-01

Student Centered e-Learning Environment (SCeLE) has substantial roles to support learning activities at Faculty of Computer Science, Universitas Indonesia (Fasilkom UI). Although it has been utilized for about 10 years, the usability aspect of SCeLE as an e-Learning system has not been evaluated. Therefore, the usability aspects of SCeLE Fasilkom…

e-Learning system ERM for medical radiation physics education.

PubMed

Stoeva, Magdalena; Cvetkov, Asen

2005-09-01

The objective of this paper is to present the Education for Radiation in Medicine (ERM) e-Learning System. The system was developed, tested and piloted in the Inter-University Medical Physics Centre, Plovdiv, Bulgaria. It was based on the results of EU Project TEMPUS S-JEP 09826. The ERM e-Learning System is an integrated on-line system for remote education covering aspects of Medical Radiation Physics education (M.Sc. level). It provides user-friendly interface and optimised functionality with three different access levels: trainee, professor and administrator. The minimum server requirements and the standard client side working environment turn the system into a good, cost effective and easy to support solution for remote education.

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…

An Analysis of Online Courses in Research Ethics in the Fogarty-Sponsored Bioethics Training Programs

PubMed Central

Silverman, Henry; Strosberg, Martin; Luna, Florencia; Philpott, Sean; Hemmerle, Cheryl A.

2014-01-01

Several training programs sponsored by the NIH/Fogarty International Center’s International Research Ethics Education and Curriculum Development Program offer online graduate-level courses in research ethics to participants in low- and middle-income countries. This paper describes the evaluation of four of these online courses and recommendations for improvements to achieve the highest-quality design and delivery. We used an evaluation matrix consisting of 95 criteria based on recommended best practices in eLearning. Our results showed that these courses are developing or meeting nearly 73% of the criteria, while they are not meeting approximately 21% of the criteria. Together, one or more of the courses are developing or meeting 89 of the 95 criteria. These results suggest that the necessary skills and expertise exist in these programs to bring all of the eLearning courses close to 100% proficiency by sharing a common set of best practices. This paper is part of a collection of articles analyzing the Fogarty International Center’s International Research Ethics Education and Curriculum Development Program. PMID:24384517

State of Digital Education Options in the areas of Medical Terminology and the History, Theory and Ethics of Medicine

PubMed Central

Schochow, Maximilian; Steger, Florian

2015-01-01

Background: Institutes of the history of medicine, the theory of medicine, and medical ethics at German institutions of higher learning have created various e-learning options that are based on different learning platforms and tailored to the specific curricular needs of individual teaching. Up to now no valid data has been available about the types of such e-learning options as well as possibilities of future developments thanks to coordinated cooperation among the different institutes. Methods: Of 31 German institutes of the history and theory of medicine and medical ethics that were asked to fill out a questionnaire, 30 answered, which equals a return rate of 97 per cent. The questionnaire was completed between July and August 2012 using a telephone survey. Results: Available to students online, digitally interactive teaching tools have boomed in the course of the last few years at German institutes of the history of medicine, the theory of medicine, and medical ethics. This trend is also reflected in a willingness of more than half of the respective departments (67 per cent) to expand their e-learning options on the basis of previous experience. The offered e-learning systems are accepted very well by the students. 57 per cent of the institutes stated, that 90-100 per cent of the students use the offered systems regularly. E-learning courses for terminology are offered particularly often, this is also reflected in the intended extension of these courses by the majority of institutes which plan to expand their e-learning systems. Conclusions: This article discusses the results of a comprehensive empirical survey about e-learning. It illustrates ways in which individual German institutes plan to expand their e-learning options in the future. Finally, specific proposals for cooperation among institutions (not just online) are introduced, the purpose of which is to produce synergy in e-learning. PMID:26038682

State of Digital Education Options in the areas of Medical Terminology and the History, Theory and Ethics of Medicine.

PubMed

Schochow, Maximilian; Steger, Florian

2015-01-01

Institutes of the history of medicine, the theory of medicine, and medical ethics at German institutions of higher learning have created various e-learning options that are based on different learning platforms and tailored to the specific curricular needs of individual teaching. Up to now no valid data has been available about the types of such e-learning options as well as possibilities of future developments thanks to coordinated cooperation among the different institutes. Of 31 German institutes of the history and theory of medicine and medical ethics that were asked to fill out a questionnaire, 30 answered, which equals a return rate of 97 per cent. The questionnaire was completed between July and August 2012 using a telephone survey. Available to students online, digitally interactive teaching tools have boomed in the course of the last few years at German institutes of the history of medicine, the theory of medicine, and medical ethics. This trend is also reflected in a willingness of more than half of the respective departments (67 per cent) to expand their e-learning options on the basis of previous experience. The offered e-learning systems are accepted very well by the students. 57 per cent of the institutes stated, that 90-100 per cent of the students use the offered systems regularly. E-learning courses for terminology are offered particularly often, this is also reflected in the intended extension of these courses by the majority of institutes which plan to expand their e-learning systems. This article discusses the results of a comprehensive empirical survey about e-learning. It illustrates ways in which individual German institutes plan to expand their e-learning options in the future. Finally, specific proposals for cooperation among institutions (not just online) are introduced, the purpose of which is to produce synergy in e-learning.

Development of Efficient Authoring Software for e-Learning Contents

NASA Astrophysics Data System (ADS)

Kozono, Kazutake; Teramoto, Akemi; Akiyama, Hidenori

The contents creation in e-Learning system becomes an important problem. The contents of e-Learning should include figure and voice media for a high-level educational effect. However, the use of figure and voice complicates the operation of authoring software considerably. A new authoring software, which can build e-Learning contents efficiently, has been developed to solve this problem. This paper reports development results of the authoring software.

IS Success Model in E-Learning Context Based on Students' Perceptions

ERIC Educational Resources Information Center

Freeze, Ronald D.; Alshare, Khaled A.; Lane, Peggy L.; Wen, H. Joseph

2010-01-01

This study utilized the Information Systems Success (ISS) model in examining e-learning systems success. The study was built on the premise that system quality (SQ) and information quality (IQ) influence system use and user satisfaction, which in turn impact system success. A structural equation model (SEM), using LISREL, was used to test the…

Leveraging Avatars in 3D Virtual Environments ("Second Life") for Interactive Learning: The Moderating Role of the Behavioral Activation System "vs." Behavioral Inhibition System and the Mediating Role of Enjoyment

ERIC Educational Resources Information Center

Jin, Seung-A. Annie

2011-01-01

Within the Entertainment-Education (E-E) framework, two experiments examined the effects of avatar-based e-health education targeting college students. Study 1 (between-subjects factorial design experiment: N = 94) tested the effects of message framing in e-learning and the moderating role of students' motivational systems on their enjoyment of…

Intelligent control of robotic arm/hand systems for the NASA EVA retriever using neural networks

NASA Technical Reports Server (NTRS)

Mclauchlan, Robert A.

1989-01-01

Adaptive/general learning algorithms using varying neural network models are considered for the intelligent control of robotic arm plus dextrous hand/manipulator systems. Results are summarized and discussed for the use of the Barto/Sutton/Anderson neuronlike, unsupervised learning controller as applied to the stabilization of an inverted pendulum on a cart system. Recommendations are made for the application of the controller and a kinematic analysis for trajectory planning to simple object retrieval (chase/approach and capture/grasp) scenarios in two dimensions.

The Effects of Concurrent Verbal and Visual Tasks on Category Learning

ERIC Educational Resources Information Center

Miles, Sarah J.; Minda, John Paul

2011-01-01

Current theories of category learning posit separate verbal and nonverbal learning systems. Past research suggests that the verbal system relies on verbal working memory and executive functioning and learns rule-defined categories; the nonverbal system does not rely on verbal working memory and learns non-rule-defined categories (E. M. Waldron…

A Group Recommender System for Tourist Activities

NASA Astrophysics Data System (ADS)

Garcia, Inma; Sebastia, Laura; Onaindia, Eva; Guzman, Cesar

This paper introduces a method for giving recommendations of tourist activities to a group of users. This method makes recommendations based on the group tastes, their demographic classification and the places visited by the users in former trips. The group recommendation is computed from individual personal recommendations through the use of techniques such as aggregation, intersection or incremental intersection. This method is implemented as an extension of the e-Tourism tool, which is a user-adapted tourism and leisure application, whose main component is the Generalist Recommender System Kernel (GRSK), a domain-independent taxonomy-driven search engine that manages the group recommendation.

Integrating qualitative research methods into care improvement efforts within a learning health system: addressing antibiotic overuse.

PubMed

Munoz-Plaza, Corrine E; Parry, Carla; Hahn, Erin E; Tang, Tania; Nguyen, Huong Q; Gould, Michael K; Kanter, Michael H; Sharp, Adam L

2016-08-15

Despite reports advocating for integration of research into healthcare delivery, scant literature exists describing how this can be accomplished. Examples highlighting application of qualitative research methods embedded into a healthcare system are particularly needed. This article describes the process and value of embedding qualitative research as the second phase of an explanatory, sequential, mixed methods study to improve antibiotic stewardship for acute sinusitis. Purposive sampling of providers for in-depth interviews improved understanding of unwarranted antibiotic prescribing and elicited stakeholder recommendations for improvement. Qualitative data collection, transcription and constant comparative analyses occurred iteratively. Emerging themes and sub-themes identified primary drivers of unwarranted antibiotic prescribing patterns and recommendations for improving practice. These findings informed the design of a health system intervention to improve antibiotic stewardship for acute sinusitis. Core components of the intervention are also described. Qualitative research can be effectively applied in learning healthcare systems to elucidate quantitative results and inform improvement efforts.

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

ERIC Educational Resources Information Center

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

2017-01-01

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

A Hybrid Approach for Selecting a Course Management System: A Case Study

ERIC Educational Resources Information Center

Aggarwal, Anil; Adlakha, Veena; Ross, Terry

2012-01-01

The Internet is creating exciting opportunities for universities and their stakeholders. Universities are experimenting with different modes of education. E-learning is one such mode, where students can learn from any place at any time, as long as they have an Internet connection. A course management system (CMS) facilitates e-learning, making it…

Emerging Technologies Acceptance in Online Tutorials: Tutors' and Students' Behavior Intentions in Higher Education

ERIC Educational Resources Information Center

Susilo, Adhi

2014-01-01

Tutors' and students' intentions to use emerging technologies (ETs) in e-learning systems in higher education institutions are a central concern of researchers, academicians, and practitioners. However, tutors' and students' intentions to use ETs in e-learning systems in distance learning are relatively low. The goal of the study, developed in…

Learning Systems in Post-Statutory Education

ERIC Educational Resources Information Center

Catherall, Paul

2008-01-01

This article examines the broad scope of systemised learning (e-learning) in post-statutory education. Issues for discussion include the origins and forms of learning systems, including technical and educational concepts and approaches, such as distributed and collaborative learning. The VLE (Virtual Learning Environment) is defined as the…

Automated sleep stage detection with a classical and a neural learning algorithm--methodological aspects.

PubMed

Schwaibold, M; Schöchlin, J; Bolz, A

2002-01-01

For classification tasks in biosignal processing, several strategies and algorithms can be used. Knowledge-based systems allow prior knowledge about the decision process to be integrated, both by the developer and by self-learning capabilities. For the classification stages in a sleep stage detection framework, three inference strategies were compared regarding their specific strengths: a classical signal processing approach, artificial neural networks and neuro-fuzzy systems. Methodological aspects were assessed to attain optimum performance and maximum transparency for the user. Due to their effective and robust learning behavior, artificial neural networks could be recommended for pattern recognition, while neuro-fuzzy systems performed best for the processing of contextual information.

Learning Experiences Reuse Based on an Ontology Modeling to Improve Adaptation in E-Learning Systems

ERIC Educational Resources Information Center

Hadj M'tir, Riadh; Rumpler, Béatrice; Jeribi, Lobna; Ben Ghezala, Henda

2014-01-01

Current trends in e-Learning focus mainly on personalizing and adapting the learning environment and learning process. Although their increasingly number, theses researches often ignore the concepts of capitalization and reuse of learner experiences which can be exploited later by other learners. Thus, the major challenge of distance learning is…

SVM and PCA Based Learning Feature Classification Approaches for E-Learning System

ERIC Educational Resources Information Center

Khamparia, Aditya; Pandey, Babita

2018-01-01

E-learning and online education has made great improvements in the recent past. It has shifted the teaching paradigm from conventional classroom learning to dynamic web based learning. Due to this, a dynamic learning material has been delivered to learners, instead ofstatic content, according to their skills, needs and preferences. In this…

Use of Live Interactive Webcasting for an International Postgraduate Module in eHealth: Case Study Evaluation

PubMed Central

Maramba, Inocencio; Boulos, Maged N Kamel; Alexander, Tara

2009-01-01

Background Producing “traditional” e-learning can be time consuming, and in a topic such as eHealth, it may have a short shelf-life. Students sometimes report feeling isolated and lacking in motivation. Synchronous methods can play an important part in any blended approach to learning. Objective The aim was to develop, deliver, and evaluate an international postgraduate module in eHealth using live interactive webcasting. Methods We developed a hybrid solution for live interactive webcasting using a scan converter, mixer, and digitizer, and video server to embed a presenter-controlled talking head or copy of the presenter’s computer screen (normally a PowerPoint slide) in a student chat room. We recruited 16 students from six countries and ran weekly 2.5-hour live sessions for 10 weeks. The content included the use of computers by patients, patient access to records, different forms of e-learning for patients and professionals, research methods in eHealth, geographic information systems, and telehealth. All sessions were recorded—presentations as video files and the student interaction as text files. Students were sent an email questionnaire of mostly open questions seeking their views of this form of learning. Responses were collated and anonymized by a colleague who was not part of the teaching team. Results Sessions were generally very interactive, with most students participating actively in breakout or full-class discussions. In a typical 2.5-hour session, students posted about 50 messages each. Two students did not complete all sessions; one withdrew from the pressure of work after session 6, and one from illness after session 7. Fourteen of the 16 responded to the feedback questionnaire. Most students (12/14) found the module useful or very useful, and all would recommend the module to others. All liked the method of delivery, in particular the interactivity, the variety of students, and the “closeness” of the group. Most (11/14) felt “connected” with the other students on the course. Many students (11/14) had previous experience with asynchronous e-learning, two as teachers; 12/14 students suggested advantages of synchronous methods, mostly associated with the interaction and feedback from teachers and peers. Conclusions This model of synchronous e-learning based on interactive live webcasting was a successful method of delivering an international postgraduate module. Students found it engaging over a 10-week course. Although this is a small study, given that synchronous methods such as interactive webcasting are a much easier transition for lecturers used to face-to-face teaching than are asynchronous methods, they should be considered as part of the blend of e-learning methods. Further research and development is needed on interfaces and methods that are robust and accessible, on the most appropriate blend of synchronous and asynchronous work for different student groups, and on learning outcomes and effectiveness. PMID:19914901

A Learning Style Perspective to Investigate the Necessity of Developing Adaptive Learning Systems

ERIC Educational Resources Information Center

Hwang, Gwo-Jen; Sung, Han-Yu; Hung, Chun-Ming; Huang, Iwen

2013-01-01

Learning styles are considered to be one of the factors that need to be taken into account in developing adaptive learning systems. However, few studies have been conducted to investigate if students have the ability to choose the best-fit e-learning systems or content presentation styles for themselves in terms of learning style perspective. In…

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

NASA Astrophysics Data System (ADS)

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

2017-09-01

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

Free-access open-source e-learning in comprehensive neurosurgery skills training.

PubMed

Jotwani, Payal; Srivastav, Vinkle; Tripathi, Manjul; Deo, Rama Chandra; Baby, Britty; Damodaran, Natesan; Singh, Ramandeep; Suri, Ashish; Bettag, Martin; Roy, Tara Sankar; Busert, Christoph; Mehlitz, Marcus; Lalwani, Sanjeev; Garg, Kanwaljeet; Paul, Kolin; Prasad, Sanjiva; Banerjee, Subhashis; Kalra, Prem; Kumar, Subodh; Sharma, Bhavani Shankar; Mahapatra, Ashok Kumar

2014-01-01

Since the end of last century, technology has taken a front seat in dispersion of medical education. Advancements of technology in neurosurgery and traditional training methods are now being challenged by legal and ethical concerns of patient safety, resident work-hour restriction and cost of operating-room time. To supplement the existing neurosurgery education pattern, various e-learning platforms are introduced as structured, interactive learning system. This study focuses on the concept, formulation, development and impact of web based learning platforms dedicated to neurosurgery discipline to disseminate education, supplement surgical knowledge and improve skills of neurosurgeons. 'Neurosurgery Education and Training School (NETS), e-learning platform' has integration of web-based technologies like 'Content Management System' for organizing the education material and 'Learning Management System' for updating neurosurgeons. NETS discussion forum networks neurosurgeons, neuroscientists and neuro-technologists across the globe facilitating collaborative translational research. Multi-authored neurosurgical e-learning material supplements the deficiencies of regular time-bound education. Interactive open-source, global, free-access e-learning platform of NETS has around 1) 425 visitors/month from 73 countries; ratio of new visitors to returning visitors 42.3; 57.7 (2); 64,380 views from 190 subscribers for surgical videos, 3-D animation, graphics based training modules (3); average 402 views per post. The e-Learning platforms provide updated educational content that make them "quick, surf, find and extract" resources. e-Learning tools like web-based education, social interactive platform and question-answer forum will save unnecessary expenditure of time and travel of neurosurgeons seeking knowledge. The need for free access platforms is more pronounced for the neurosurgeons and patients in developing nations.

Investigating Students' Perceived Satisfaction, Behavioral Intention, and Effectiveness of E-Learning: A Case Study of the Blackboard System

ERIC Educational Resources Information Center

Liaw, S. S.

2008-01-01

Although the benefits of e-learning have been discussed in various previous studies; it is a critical issue of better understanding the reasons why some learners are dissatisfied with the e-learning experience. Therefore, this research investigates learners' satisfaction, behavioral intentions, and the effectiveness of the Blackboard e-learning…

Explaining and Predicting Users' Continuance Intention toward E-Learning: An Extension of the Expectation-Confirmation Model

ERIC Educational Resources Information Center

Lee, Ming-Chi

2010-01-01

Although e-learning has been prompted to various education levels, the intention to continue using such systems is still very low, and the acceptance-discontinuance anomaly phenomenon (i.e., users discontinue using e-learning after initially accepting it) is a common occurrence. This paper synthesizes the expectation-confirmation model (ECM), the…

ClassPrep: A Peer Review System for Class Preparation

ERIC Educational Resources Information Center

Park, Jooyong

2017-01-01

Class preparation is recommended by instructors in most college courses, but checking whether a student does so is not easy. A new blended learning system, named ClassPrep, has been proposed and implemented. The usability of the system was examined for two undergraduate psychology courses: one advanced course (n = 11) and one introductory course…

Recommendation advertising method based on behavior retargeting

NASA Astrophysics Data System (ADS)

Zhao, Yao; YIN, Xin-Chun; CHEN, Zhi-Min

2011-10-01

Online advertising has become an important business in e-commerce. Ad recommended algorithms are the most critical part in recommendation systems. We propose a recommendation advertising method based on behavior retargeting which can avoid leakage click of advertising due to objective reasons and can observe the changes of the user's interest in time. Experiments show that our new method can have a significant effect and can be further to apply to online system.

An investigation of factors influencing healthcare workers' use and acceptance of e-learning in post-school healthcare education.

PubMed

Mikalsen, Marius; Walderhaug, Ståle

2009-01-01

The objective of the study presented here was to perform an empirical investigation on factors affecting healthcare workers acceptance and utilisation of e-learning in post-school healthcare education. E-learning benefits are realised when key features of e-learning are not only applied, but deemed useful, compatible with the learning process and supportive in order to reach the overall goals of the learning process. We conducted a survey of 14 state-enrolled nurses and skilled-workers within the field of healthcare in Norway. The results show that perceived compatibility and subjective norm explain system usage of the e-learning tool amongst the students. We found that the fact that the students considered the e-learning to be compatible with the course in question had a positive effect on e-learning tool usage. We also found support for factors such as facilitating conditions and ease of use leads to the e-learning tool being considered useful.

Towards a Standards-Based Approach to E-Learning Personalization Using Reusable Learning Objects.

ERIC Educational Resources Information Center

Conlan, Owen; Dagger, Declan; Wade, Vincent

E-Learning systems that produce personalized course offerings for the learner are often expensive, both from a time and financial perspective, to develop and maintain. Learning content personalized to a learners' cognitive preferences has been shown to produce more effective learning, however many approaches to realizing this form of…

Integrated Authoring Tool for Mobile Augmented Reality-Based E-Learning Applications

ERIC Educational Resources Information Center

Lobo, Marcos Fermin; Álvarez García, Víctor Manuel; del Puerto Paule Ruiz, María

2013-01-01

Learning management systems are increasingly being used to complement classroom teaching and learning and in some instances even replace traditional classroom settings with online educational tools. Mobile augmented reality is an innovative trend in e-learning that is creating new opportunities for teaching and learning. This article proposes a…

Learning Objects and Virtual Learning Environments Technical Evaluation Criteria

ERIC Educational Resources Information Center

Kurilovas, Eugenijus; Dagiene, Valentina

2009-01-01

The main scientific problems investigated in this article deal with technical evaluation of quality attributes of the main components of e-Learning systems (referred here as DLEs--Digital Libraries of Educational Resources and Services), i.e., Learning Objects (LOs) and Virtual Learning Environments (VLEs). The main research object of the work is…

Principles of Assessment of Rehabilitation Services in Health Systems: Learning from experiences.

PubMed

Gutenbrunner, Christoph; Nugraha, Boya

2018-04-18

Strengthening of health-related rehabilitation services must start from the needs of persons with health conditions experiencing disability and should be implemented within health systems. The implementation of rehabilitation services in health systems should be planned and realized according to the World Health Organization's 6 constituents of health systems (i.e. health service delivery; health workforce; health information systems; essential medicines; financing; and leadership and governance). The development of recommendations based on situation analysis and best-available data is crucial. In order to facilitate such data collection at a national level, a checklist and a related questionnaire (Rehabilitation Service Assessment Tool (RSAT)) were developed and implemented. The following steps were followed to develop a checklist for implementation of rehabilitation services: a literature search, drafting, checking and testing the list, and development of the RSAT. The RSAT comprises 8 sections derived from 5 main domains of the most important areas of information (i.e. country profile; health system; disability and rehabilitation; national policies, laws, and responsibilities; and relevant non-governmental stakeholders). The implementation of RSAT in different missions has shown that the principles are working well and that RSAT is feasible and helpful. Further field testing is important and the development of an internationally agreed tool should be promoted.

Facebook Groups as an Academic Teaching Aid: Case Study and Recommendations for Educators

ERIC Educational Resources Information Center

Miron, Eli; Ravid, Gilad

2015-01-01

The move from a walled garden type Learning Management Systems (LMS) to open environments (like Facebook) forces us to adapt new teaching ways. This article offers a brief review of the use of Facebook groups in learning, describes the experience of using Facebook groups in an academic institute, explains the considerations for choosing the type…

Resource Accountability: Enforcing State Responsibilities for Sufficient and Equitable Resources Used Effectively to Provide All Students a Quality Education

ERIC Educational Resources Information Center

Sciarra, David G.; Hunter, Molly A.

2015-01-01

Darling-Hammond, Wilhoit, and Pittenger (2014) addressed the need for states to align their accountability systems with new college- and career-ready learning standards. The authors recommended a new accountability paradigm that focuses on 1) meaningful learning, enabled by 2) professionally skilled and committed educators, and supported by 3)…

Laying the Foundation for Competency Education: A Policy Guide for the Next Generation Educator Workforce

ERIC Educational Resources Information Center

Pace, Lillian; Worthen, Maria

2014-01-01

This paper provides a vision and set of policy recommendations to help federal, state, and local leaders develop the workforce necessary to support teaching and learning in a competency-based K-12 education system. Part One, Pre-service and Credentialing for K-12 Competency-Based Learning Environments, provides policymakers with a framework and…

A Markov-Based Recommendation Model for Exploring the Transfer of Learning on the Web

ERIC Educational Resources Information Center

Huang, Yueh-Min; Huang, Tien-Chi; Wang, Kun-Te; Hwang, Wu-Yuin

2009-01-01

The ability to apply existing knowledge in new situations and settings is clearly a vital skill that all students need to develop. Nowhere is this truer than in the rapidly developing world of Web-based learning, which is characterized by non-sequential courses and the absence of an effective cross-subject guidance system. As a result, questions…

Advancing Deeper Learning under ESSA: Seven Priorities. Turning the Corner Post-Conference Brief. Students at the Center

ERIC Educational Resources Information Center

Heller, Rafael; Gerwin, Carol

2016-01-01

This brief recommends seven ways for supporters of deeper learning to take advantage of the changing education policy landscape, as authority shifts from the federal government to states and local districts. The authors outline priorities to help the nation's high schools move from a largely inequitable system to one that prepares all students for…

E-learning implementation in superior technical educational system

NASA Astrophysics Data System (ADS)

Musca, Gavril; Mihalache, Andrei; Musca, Elena

2016-11-01

E-learning methods apply to most modern and various domains but also represent a great tool for the mechanical educational system where there are a lot of sustained efforts for its implementation. Using, administrating and maintaining an e-learning system for a certain field of study requires knowledge related to computation system's utilization but also the understanding the working mechanisms behind it that allows the system to be fully customized in order to be perfect fitted to the user's needs and requirements. A Moodle based test is evaluated from several points of views such as coherence clarity, concise content, information synthesis capacity and the presentation mode which makes the difference between clear or fuzzy graphical representations or terms. The authors appreciate that the ability of managing information in real time by the professor is a decisive decision in order to successfully implement an e-learning web platform. Updating information and structuring trainee's activities from thoroughgoing study up to their individual proposals for conceived applications leads to a better understanding and practical knowledge of theory.

An English Vocabulary Learning System Based on Fuzzy Theory and Memory Cycle

NASA Astrophysics Data System (ADS)

Wang, Tzone I.; Chiu, Ti Kai; Huang, Liang Jun; Fu, Ru Xuan; Hsieh, Tung-Cheng

This paper proposes an English Vocabulary Learning System based on the Fuzzy Theory and the Memory Cycle Theory to help a learner to memorize vocabularies easily. By using fuzzy inferences and personal memory cycles, it is possible to find an article that best suits a learner. After reading an article, a quiz is provided for the learner to improve his/her memory of the vocabulary in the article. Early researches use just explicit response (ex. quiz exam) to update memory cycles of newly learned vocabulary; apart from that approach, this paper proposes a methodology that also modify implicitly the memory cycles of learned word. By intensive reading of articles recommended by our approach, a learner learns new words quickly and reviews learned words implicitly as well, and by which the vocabulary ability of the learner improves efficiently.

Setting Up an E-Learning System: Time for Your District to Get into the E-Learning Game? One Superintendent Found that Careful Investigation and Planning Are Key

ERIC Educational Resources Information Center

Solomon, Gwen

2005-01-01

When superintendent Bill Harbron of the Northern Ozaukee School District in Fredonia, Wisconsin decided it was time to offer more instructional alternatives to students and parents, an e-learning program seemed like the perfect fit. After researching and considering several options, he invited e-learning content provider K12 to present its program…

A System's View of E-Learning Success Model

ERIC Educational Resources Information Center

Eom, Sean B.; Ashill, Nicholas J.

2018-01-01

The past several decades of e-learning empirical research have advanced our understanding of the effective management of critical success factors (CSFs) of e-learning. Meanwhile, the proliferation of measures of dependent and independent variables has been overelaborated. We argue that a significant reduction in dependent and independent variables…

Interface design recommendations for computerised clinical audit and feedback: Hybrid usability evidence from a research-led system.

PubMed

Brown, Benjamin; Balatsoukas, Panos; Williams, Richard; Sperrin, Matthew; Buchan, Iain

2016-10-01

Audit and Feedback (A&F) is a widely used quality improvement technique that measures clinicians' clinical performance and reports it back to them. Computerised A&F (e-A&F) system interfaces may consist of four key components: (1) Summaries of clinical performance; (2) Patient lists; (3) Patient-level data; (4) Recommended actions. There is a lack of evidence regarding how to best design e-A&F interfaces; establishing such evidence is key to maximising usability, and in turn improving patient safety. To evaluate the usability of a novel theoretically-informed and research-led e-A&F system for primary care (the Performance Improvement plaN GeneratoR: PINGR). (1) Describe PINGR's design, rationale and theoretical basis; (2) Identify usability issues with PINGR; (3) Understand how these issues may interfere with the cognitive goals of end-users; (4) Translate the issues into recommendations for the user-centred design of e-A&F systems. Eight experienced health system evaluators performed a usability inspection using an innovative hybrid approach consisting of five stages: (1) Development of representative user tasks, Goals, and Actions; (2) Combining Heuristic Evaluation and Cognitive Walkthrough methods into a single protocol to identify usability issues; (3) Consolidation of issues; (4) Severity rating of consolidated issues; (5) Analysis of issues according to usability heuristics, interface components, and Goal-Action structure. A final list of 47 issues were categorised into 8 heuristic themes. The most error-prone heuristics were 'Consistency and standards' (13 usability issues; 28% of the total) and 'Match between system and real world' (n=10, 21%). The recommended actions component of the PINGR interface had the most usability issues (n=21, 45%), followed by patient-level data (n=5, 11%), patient lists (n=4, 9%), and summaries of clinical performance (n=4, 9%). The most error-prone Actions across all user Goals were: (1) Patient selection from a list; (2) Data identification from a figure (both population-level and patient-level); (3) Disagreement with a system recommendation. By contextualising our findings within the wider literature on health information system usability, we provide recommendations for the design of e-A&F system interfaces relating to their four key components, in addition to how they may be integrated within a system. Copyright © 2016. Published by Elsevier Ireland Ltd.

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

PubMed

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

2010-07-01

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

ESA Human rating Requirements:Status

NASA Astrophysics Data System (ADS)

Trujillo, M.; Sgobba, T.

2012-01-01

The European Space Agency (ESA) human rating safety requirements are based on heritage requirements of the International Space Station as well as the knowledge and experience derived from European participation on international partnerships. This expertise in conjunction with recommendations derived from past accidents (i.e.: Columbia) and lessons learned have led to the identification of m inimum core safety tech nical requirements for hum an rated space syst ems. These requirements apply to th e crewed space vehicle, integrated space system (i.e.: cre wed vehicle on its launcher) and its interfaces with control centres, la unch pad, etc. In 2009, a first draft was issued. Then, in the summer of 2010, ESA established a working group comprised of more than twenty experts (from disciplines including propulsion, pyrotechnics, structures, avionics, human factors and life support among others) across the Agency to review this draft. This paper provides an overview of ESA "Safety technical re quirements for human rated s pace systems" document, its scope a nd structure, as well as the planned steps for verification of these requirements in term s of achieving the identified safety objectives for crew safety in t erms of a quantitative risk evaluation.

Metrication, American Style. Fastback 41.

ERIC Educational Resources Information Center

Izzi, John

The purpose of this pamphlet is to provide a starting point of information on the metric system for any concerned or interested reader. The material is organized into five brief chapters: Man and Measurement; Learning the Metric System; Progress Report: Education; Recommended Sources; and Metrication, American Style. Appendixes include an…

Adaptation Provisioning with Respect to Learning Styles in a Web-Based Educational System: An Experimental Study

ERIC Educational Resources Information Center

Popescu, E.

2010-01-01

Personalized instruction is seen as a desideratum of today's e-learning systems. The focus of this paper is on those platforms that use learning styles as personalization criterion called learning style-based adaptive educational systems. The paper presents an innovative approach based on an integrative set of learning preferences that alleviates…

Stakeholder learning for health sector reform in Lao PDR.

PubMed

Phillips, Simone; Pholsena, Soulivanh; Gao, Jun; Oliveira Cruz, Valeria

2016-09-01

Development organizations and academic institutions have expressed the need for increased research to guide the development and implementation of policies to strengthen health systems in low- and middle-income countries. The extent to which evidence-based policies alone can produce changes in health systems remains a point of debate; other factors, such as a country's political climate and the level of actor engagement, have been identified as influential variables in effective policy development and implementation. In response to this debate, this article contends that the success of health sector reform depends largely on policy learning-the degree to which research recommendations saturate a given political environment in order to successfully inform the ideas, opinions and perceived interests of relevant actors. Using a stakeholder analysis approach to analyze the case of health sector reform in Lao PDR, we examine the ways that actors' understanding and interests affect the success of reform-and how attitudes towards reform can be shaped by exposure to policy research and international health policy priorities. The stakeholder analysis was conducted by the WHO during the early stages of health sector reform in Lao PDR, with the purpose of providing the Ministry of Health with concrete recommendations for increasing actor involvement and strengthening stakeholder support. We found that dissemination of research findings to a broad array of actors and the inclusion of diverse stakeholder groups in policy design and implementation increases the probability of a sustainable and successful health sector reform. © The Author 2016. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Dynamic Learning Style Prediction Method Based on a Pattern Recognition Technique

ERIC Educational Resources Information Center

Yang, Juan; Huang, Zhi Xing; Gao, Yue Xiang; Liu, Hong Tao

2014-01-01

During the past decade, personalized e-learning systems and adaptive educational hypermedia systems have attracted much attention from researchers in the fields of computer science Aand education. The integration of learning styles into an intelligent system is a possible solution to the problems of "learning deviation" and…

Are postgraduate students in distance medical education program ready for e-learning? A survey in Iran.

PubMed

Changiz, Tahereh; Haghani, Fariba; Nowroozi, Nasim

2013-01-01

Appropriate instructional design plays a crucial role in e-learning success, and analyzing learners is the cornerstone for instructional design process. Students' readiness for e-learning was assessed in the present study as an example of learner analysis for a distance course in medical education master program. A census sample of 23 students applied for distance master program on medical education, completed the "Students' E-Learning Readiness Scale" developed by Watkins, via email. The reliability and validity of the scale has been confirmed before. Average scores in total and 6 subscales were calculated. The score range was 1-5 and scores above 3 indicated good readiness. Data was interpreted using descriptive and non-parametric tests (Mann-Whitney U and Kruskal-Wallis). Response rate was 100%. The students' readiness scores in total and all subscales ("technology access", "online skills and relationships", "motivation", "online audio/video", "readiness for online discussions", and "importance of e-learning to your success") were above 3. Comparing different subscales, students' mean scores in "motivation" and "internet discussion" subscales were less than others, although the difference was not significant. There were no significant gender differences in the readiness scores. Students who were academic staff had significantly higher scores than others in total and in "motivation" and "online skills and relationship" subscales. Good learners' readiness, observed in the present study, may imply that the instructional designer can rely on e-learning strategies and build the course upon them. However, according to the slightly lower scores in "motivation" and "online discussion" subscales, it is recommended to stress more on strategies that improve these two components. To generalize the results, it is needed to test students' readiness in more different degree programs.

Students' experiences with interactivity and learning in a high school physics multimedia distance learning course

NASA Astrophysics Data System (ADS)

Villarreal-Stewart, Irene

The purpose guiding this research has been to learn about and describe the phenomena of interactivity from the learners' perspectives and to learn which of the interactivity affordances and practices were actually used by students and why in the process of learning physics using an interactive multimedia distance learning course system. The bigger purpose behind learning about and describing interactivity has been to gain knowledge and perspective for its instructional design to benefit the learner, the school as curriculum implementer, and instructional media designers to create better products. Qualitative methodology in the interpretivist tradition was used, that is, in-depth interviews and on-site observations, to gain understanding of interactivity from the learners' perspective and to gain understanding of the student learning context impacting and shaping the students' interactivity experiences. NVivo was used to sort, organize and index data. All data were read on three levels: literally, interpretively, and reflexively; and were read comparatively to other perspectives to get descriptions and interpretations that were holistic to the implementation and had potential insight to improve practice for instructional designers, teachers, administrators, specifically to improve the learning experience for students. Site-Specific Findings: Students watched videos, resisted using phone and e-mail, and worked math problems to demonstrate learning, which resulted in very little interactivity, virtually no dialogue about physics, no physical activity, one-way communication, multifaceted dissatisfaction, student need for teacher involvement in the learning enterprise, student appreciation for interactivity, and expressed desire for a real, live teacher. I also found that some students did experience the system as interactive, did experience learner control and self-directed learning, and despite dissatisfaction, liked and appreciated the course. Wider Applications: Interactivity, a design element, requires scaffolding and nurturing in implementation. The variable and changing context of implementation suggests the requirement for its consideration in design work. The study suggests that during implementation the integrity of design as a whole and flexibility within the design are important continuing considerations. Recommendations. (1) implementation supervision by the school district, (2) use of a language and activity-based theory of learning and teaching and (3) dialogic inquiry (Wells, 1999) to continue learning about interactivity.

Social Learning Network Analysis Model to Identify Learning Patterns Using Ontology Clustering Techniques and Meaningful Learning

ERIC Educational Resources Information Center

Firdausiah Mansur, Andi Besse; Yusof, Norazah

2013-01-01

Clustering on Social Learning Network still not explored widely, especially when the network focuses on e-learning system. Any conventional methods are not really suitable for the e-learning data. SNA requires content analysis, which involves human intervention and need to be carried out manually. Some of the previous clustering techniques need…

Data mining technique for a secure electronic payment transaction using MJk-RSA in mobile computing

NASA Astrophysics Data System (ADS)

G. V., Ramesh Babu; Narayana, G.; Sulaiman, A.; Padmavathamma, M.

2012-04-01

Due to the evolution of the Electronic Learning (E-Learning), one can easily get desired information on computer or mobile system connected through Internet. Currently E-Learning materials are easily accessible on the desktop computer system, but in future, most of the information shall also be available on small digital devices like Mobile, PDA, etc. Most of the E-Learning materials are paid and customer has to pay entire amount through credit/debit card system. Therefore, it is very important to study about the security of the credit/debit card numbers. The present paper is an attempt in this direction and a security technique is presented to secure the credit/debit card numbers supplied over the Internet to access the E-Learning materials or any kind of purchase through Internet. A well known method i.e. Data Cube Technique is used to design the security model of the credit/debit card system. The major objective of this paper is to design a practical electronic payment protocol which is the safest and most secured mode of transaction. This technique may reduce fake transactions which are above 20% at the global level.

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

PubMed

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

2015-01-01

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

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.

Multidimensional Learner Model In Intelligent Learning System

NASA Astrophysics Data System (ADS)

Deliyska, B.; Rozeva, A.

2009-11-01

The learner model in an intelligent learning system (ILS) has to ensure the personalization (individualization) and the adaptability of e-learning in an online learner-centered environment. ILS is a distributed e-learning system whose modules can be independent and located in different nodes (servers) on the Web. This kind of e-learning is achieved through the resources of the Semantic Web and is designed and developed around a course, group of courses or specialty. An essential part of ILS is learner model database which contains structured data about learner profile and temporal status in the learning process of one or more courses. In the paper a learner model position in ILS is considered and a relational database is designed from learner's domain ontology. Multidimensional modeling agent for the source database is designed and resultant learner data cube is presented. Agent's modules are proposed with corresponding algorithms and procedures. Multidimensional (OLAP) analysis guidelines on the resultant learner module for designing dynamic learning strategy have been highlighted.

TH-EF-204-04: Experience of IMRT and Other Conformal Techniques in Russia

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

Krylova, T.

Joanna E. Cygler, Jan Seuntjens, J. Daniel Bourland, M. Saiful Huq, Josep Puxeu Vaque, Daniel Zucca Aparicio, Tatiana Krylova, Yuri Kirpichev, Eric Ford, Caridad Borras Stereotactic Radiation Therapy (SRT) utilizes small static and dynamic (IMRT) fields, to successfully treat malignant and benign diseases using techniques such as Stereotactic Radiosurgery (SRS) and Stereotactic Body Radiation Therapy (SBRT). SRT is characterized by sharp dose gradients for individual fields and their resultant dose distributions. For appropriate targets, small field radiotherapy offers improved treatment quality by allowing better sparing of organs at risk while delivering the prescribed target dose. Specialized small field treatment deliverymore » systems, such as robotic-controlled linear accelerators, gamma radiosurgery units, and dynamic arc linear accelerators may utilize rigid fixation, image guidance, and tumor tracking, to insure precise dose delivery to static or moving targets. However, in addition to great advantages, small field delivery techniques present special technical challenges for dose calibration due to unique geometries and small field sizes not covered by existing reference dosimetry protocols such as AAPM TG-51 or IAEA TRS 398. In recent years extensive research has been performed to understand small field dosimetry and measurement instrumentation. AAPM, IAEA and ICRU task groups are expected to provide soon recommendations on the dosimetry of small radiation fields. In this symposium we will: 1] discuss the physics, instrumentation, methodologies and challenges for small field radiation dose measurements; 2] review IAEA and ICRU recommendations on prescribing, recording and reporting of small field radiation therapy; 3] discuss selected clinical applications and technical aspects for specialized image-guided, small field, linear accelerator based treatment techniques such as IMRT and SBRT. Learning Objectives: To learn the physics of small fields in contrast to dosimetry of conventional fields To learn about detectors suitable for small fields To learn about the role of Monte Carlo simulations in determination of small field output factors To provide an overview of the IAEA small field dosimetry recommendations To provide an overview of the content of the ICRU report on Prescribing, Reporting and Recording of Small Field Radiation Therapy. To learn about special technical considerations in delivering IMRT and SBRT treatments To appreciate specific challenges of IMRT implementation J. Seuntjens, Natural Sciences and Engineering Research Council; Canadian Institutes of Health Research.« less

TH-EF-204-00: AAPM-AMPR (Russia)-SEFM (Spain) Joint Course On Challenges and Advantages of Small Field Radiation Treatment Techniques

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

NONE

Joanna E. Cygler, Jan Seuntjens, J. Daniel Bourland, M. Saiful Huq, Josep Puxeu Vaque, Daniel Zucca Aparicio, Tatiana Krylova, Yuri Kirpichev, Eric Ford, Caridad Borras Stereotactic Radiation Therapy (SRT) utilizes small static and dynamic (IMRT) fields, to successfully treat malignant and benign diseases using techniques such as Stereotactic Radiosurgery (SRS) and Stereotactic Body Radiation Therapy (SBRT). SRT is characterized by sharp dose gradients for individual fields and their resultant dose distributions. For appropriate targets, small field radiotherapy offers improved treatment quality by allowing better sparing of organs at risk while delivering the prescribed target dose. Specialized small field treatment deliverymore » systems, such as robotic-controlled linear accelerators, gamma radiosurgery units, and dynamic arc linear accelerators may utilize rigid fixation, image guidance, and tumor tracking, to insure precise dose delivery to static or moving targets. However, in addition to great advantages, small field delivery techniques present special technical challenges for dose calibration due to unique geometries and small field sizes not covered by existing reference dosimetry protocols such as AAPM TG-51 or IAEA TRS 398. In recent years extensive research has been performed to understand small field dosimetry and measurement instrumentation. AAPM, IAEA and ICRU task groups are expected to provide soon recommendations on the dosimetry of small radiation fields. In this symposium we will: 1] discuss the physics, instrumentation, methodologies and challenges for small field radiation dose measurements; 2] review IAEA and ICRU recommendations on prescribing, recording and reporting of small field radiation therapy; 3] discuss selected clinical applications and technical aspects for specialized image-guided, small field, linear accelerator based treatment techniques such as IMRT and SBRT. Learning Objectives: To learn the physics of small fields in contrast to dosimetry of conventional fields To learn about detectors suitable for small fields To learn about the role of Monte Carlo simulations in determination of small field output factors To provide an overview of the IAEA small field dosimetry recommendations To provide an overview of the content of the ICRU report on Prescribing, Reporting and Recording of Small Field Radiation Therapy. To learn about special technical considerations in delivering IMRT and SBRT treatments To appreciate specific challenges of IMRT implementation J. Seuntjens, Natural Sciences and Engineering Research Council; Canadian Institutes of Health Research.« less

TH-EF-204-06: Closing

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

Borras, C.

2016-06-15

Joanna E. Cygler, Jan Seuntjens, J. Daniel Bourland, M. Saiful Huq, Josep Puxeu Vaque, Daniel Zucca Aparicio, Tatiana Krylova, Yuri Kirpichev, Eric Ford, Caridad Borras Stereotactic Radiation Therapy (SRT) utilizes small static and dynamic (IMRT) fields, to successfully treat malignant and benign diseases using techniques such as Stereotactic Radiosurgery (SRS) and Stereotactic Body Radiation Therapy (SBRT). SRT is characterized by sharp dose gradients for individual fields and their resultant dose distributions. For appropriate targets, small field radiotherapy offers improved treatment quality by allowing better sparing of organs at risk while delivering the prescribed target dose. Specialized small field treatment deliverymore » systems, such as robotic-controlled linear accelerators, gamma radiosurgery units, and dynamic arc linear accelerators may utilize rigid fixation, image guidance, and tumor tracking, to insure precise dose delivery to static or moving targets. However, in addition to great advantages, small field delivery techniques present special technical challenges for dose calibration due to unique geometries and small field sizes not covered by existing reference dosimetry protocols such as AAPM TG-51 or IAEA TRS 398. In recent years extensive research has been performed to understand small field dosimetry and measurement instrumentation. AAPM, IAEA and ICRU task groups are expected to provide soon recommendations on the dosimetry of small radiation fields. In this symposium we will: 1] discuss the physics, instrumentation, methodologies and challenges for small field radiation dose measurements; 2] review IAEA and ICRU recommendations on prescribing, recording and reporting of small field radiation therapy; 3] discuss selected clinical applications and technical aspects for specialized image-guided, small field, linear accelerator based treatment techniques such as IMRT and SBRT. Learning Objectives: To learn the physics of small fields in contrast to dosimetry of conventional fields To learn about detectors suitable for small fields To learn about the role of Monte Carlo simulations in determination of small field output factors To provide an overview of the IAEA small field dosimetry recommendations To provide an overview of the content of the ICRU report on Prescribing, Reporting and Recording of Small Field Radiation Therapy. To learn about special technical considerations in delivering IMRT and SBRT treatments To appreciate specific challenges of IMRT implementation J. Seuntjens, Natural Sciences and Engineering Research Council; Canadian Institutes of Health Research.« less

TH-EF-204-01: Introduction

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

Cygler, J.

2016-06-15

Joanna E. Cygler, Jan Seuntjens, J. Daniel Bourland, M. Saiful Huq, Josep Puxeu Vaque, Daniel Zucca Aparicio, Tatiana Krylova, Yuri Kirpichev, Eric Ford, Caridad Borras Stereotactic Radiation Therapy (SRT) utilizes small static and dynamic (IMRT) fields, to successfully treat malignant and benign diseases using techniques such as Stereotactic Radiosurgery (SRS) and Stereotactic Body Radiation Therapy (SBRT). SRT is characterized by sharp dose gradients for individual fields and their resultant dose distributions. For appropriate targets, small field radiotherapy offers improved treatment quality by allowing better sparing of organs at risk while delivering the prescribed target dose. Specialized small field treatment deliverymore » systems, such as robotic-controlled linear accelerators, gamma radiosurgery units, and dynamic arc linear accelerators may utilize rigid fixation, image guidance, and tumor tracking, to insure precise dose delivery to static or moving targets. However, in addition to great advantages, small field delivery techniques present special technical challenges for dose calibration due to unique geometries and small field sizes not covered by existing reference dosimetry protocols such as AAPM TG-51 or IAEA TRS 398. In recent years extensive research has been performed to understand small field dosimetry and measurement instrumentation. AAPM, IAEA and ICRU task groups are expected to provide soon recommendations on the dosimetry of small radiation fields. In this symposium we will: 1] discuss the physics, instrumentation, methodologies and challenges for small field radiation dose measurements; 2] review IAEA and ICRU recommendations on prescribing, recording and reporting of small field radiation therapy; 3] discuss selected clinical applications and technical aspects for specialized image-guided, small field, linear accelerator based treatment techniques such as IMRT and SBRT. Learning Objectives: To learn the physics of small fields in contrast to dosimetry of conventional fields To learn about detectors suitable for small fields To learn about the role of Monte Carlo simulations in determination of small field output factors To provide an overview of the IAEA small field dosimetry recommendations To provide an overview of the content of the ICRU report on Prescribing, Reporting and Recording of Small Field Radiation Therapy. To learn about special technical considerations in delivering IMRT and SBRT treatments To appreciate specific challenges of IMRT implementation J. Seuntjens, Natural Sciences and Engineering Research Council; Canadian Institutes of Health Research.« less

TH-EF-204-03: Determination of Small Field Output Factors, Advantages and Limitations of Monte Carlo Simulation

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

Vaque, J. Puxeu

2016-06-15

Joanna E. Cygler, Jan Seuntjens, J. Daniel Bourland, M. Saiful Huq, Josep Puxeu Vaque, Daniel Zucca Aparicio, Tatiana Krylova, Yuri Kirpichev, Eric Ford, Caridad Borras Stereotactic Radiation Therapy (SRT) utilizes small static and dynamic (IMRT) fields, to successfully treat malignant and benign diseases using techniques such as Stereotactic Radiosurgery (SRS) and Stereotactic Body Radiation Therapy (SBRT). SRT is characterized by sharp dose gradients for individual fields and their resultant dose distributions. For appropriate targets, small field radiotherapy offers improved treatment quality by allowing better sparing of organs at risk while delivering the prescribed target dose. Specialized small field treatment deliverymore » systems, such as robotic-controlled linear accelerators, gamma radiosurgery units, and dynamic arc linear accelerators may utilize rigid fixation, image guidance, and tumor tracking, to insure precise dose delivery to static or moving targets. However, in addition to great advantages, small field delivery techniques present special technical challenges for dose calibration due to unique geometries and small field sizes not covered by existing reference dosimetry protocols such as AAPM TG-51 or IAEA TRS 398. In recent years extensive research has been performed to understand small field dosimetry and measurement instrumentation. AAPM, IAEA and ICRU task groups are expected to provide soon recommendations on the dosimetry of small radiation fields. In this symposium we will: 1] discuss the physics, instrumentation, methodologies and challenges for small field radiation dose measurements; 2] review IAEA and ICRU recommendations on prescribing, recording and reporting of small field radiation therapy; 3] discuss selected clinical applications and technical aspects for specialized image-guided, small field, linear accelerator based treatment techniques such as IMRT and SBRT. Learning Objectives: To learn the physics of small fields in contrast to dosimetry of conventional fields To learn about detectors suitable for small fields To learn about the role of Monte Carlo simulations in determination of small field output factors To provide an overview of the IAEA small field dosimetry recommendations To provide an overview of the content of the ICRU report on Prescribing, Reporting and Recording of Small Field Radiation Therapy. To learn about special technical considerations in delivering IMRT and SBRT treatments To appreciate specific challenges of IMRT implementation J. Seuntjens, Natural Sciences and Engineering Research Council; Canadian Institutes of Health Research.« less

TH-EF-204-05: Application of Small-Field Treatment: The Promises and Pitfalls of SBRT

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

Ford, E.

2016-06-15

Joanna E. Cygler, Jan Seuntjens, J. Daniel Bourland, M. Saiful Huq, Josep Puxeu Vaque, Daniel Zucca Aparicio, Tatiana Krylova, Yuri Kirpichev, Eric Ford, Caridad Borras Stereotactic Radiation Therapy (SRT) utilizes small static and dynamic (IMRT) fields, to successfully treat malignant and benign diseases using techniques such as Stereotactic Radiosurgery (SRS) and Stereotactic Body Radiation Therapy (SBRT). SRT is characterized by sharp dose gradients for individual fields and their resultant dose distributions. For appropriate targets, small field radiotherapy offers improved treatment quality by allowing better sparing of organs at risk while delivering the prescribed target dose. Specialized small field treatment deliverymore » systems, such as robotic-controlled linear accelerators, gamma radiosurgery units, and dynamic arc linear accelerators may utilize rigid fixation, image guidance, and tumor tracking, to insure precise dose delivery to static or moving targets. However, in addition to great advantages, small field delivery techniques present special technical challenges for dose calibration due to unique geometries and small field sizes not covered by existing reference dosimetry protocols such as AAPM TG-51 or IAEA TRS 398. In recent years extensive research has been performed to understand small field dosimetry and measurement instrumentation. AAPM, IAEA and ICRU task groups are expected to provide soon recommendations on the dosimetry of small radiation fields. In this symposium we will: 1] discuss the physics, instrumentation, methodologies and challenges for small field radiation dose measurements; 2] review IAEA and ICRU recommendations on prescribing, recording and reporting of small field radiation therapy; 3] discuss selected clinical applications and technical aspects for specialized image-guided, small field, linear accelerator based treatment techniques such as IMRT and SBRT. Learning Objectives: To learn the physics of small fields in contrast to dosimetry of conventional fields To learn about detectors suitable for small fields To learn about the role of Monte Carlo simulations in determination of small field output factors To provide an overview of the IAEA small field dosimetry recommendations To provide an overview of the content of the ICRU report on Prescribing, Reporting and Recording of Small Field Radiation Therapy. To learn about special technical considerations in delivering IMRT and SBRT treatments To appreciate specific challenges of IMRT implementation J. Seuntjens, Natural Sciences and Engineering Research Council; Canadian Institutes of Health Research.« less

Quality management of eLearning for medical education: current situation and outlook

PubMed Central

Abrusch, Jasmin; Marienhagen, Jörg; Böckers, Anja; Gerhardt-Szép, Susanne

2015-01-01

Introduction: In 2008, the German Council of Science had advised universities to establish a quality management system (QMS) that conforms to international standards. The system was to be implemented within 5 years, i.e., until 2014 at the latest. The aim of the present study was to determine whether a QMS suitable for electronic learning (eLearning) domain of medical education to be used across Germany has meanwhile been identified. Methods: We approached all medical universities in Germany (n=35), using an anonymous questionnaire (8 domains, 50 items). Results: Our results (response rate 46.3%) indicated very reluctant application of QMS in eLearning and a major information deficit at the various institutions. Conclusions: Authors conclude that under the limitations of this study there seems to be a considerable need to improve the current knowledge on QMS for eLearning, and that clear guidelines and standards for their implementation should be further defined. PMID:26038685

Quality management of eLearning for medical education: current situation and outlook.

PubMed

Abrusch, Jasmin; Marienhagen, Jörg; Böckers, Anja; Gerhardt-Szép, Susanne

2015-01-01

In 2008, the German Council of Science had advised universities to establish a quality management system (QMS) that conforms to international standards. The system was to be implemented within 5 years, i.e., until 2014 at the latest. The aim of the present study was to determine whether a QMS suitable for electronic learning (eLearning) domain of medical education to be used across Germany has meanwhile been identified. We approached all medical universities in Germany (n=35), using an anonymous questionnaire (8 domains, 50 items). Our results (response rate 46.3%) indicated very reluctant application of QMS in eLearning and a major information deficit at the various institutions. Authors conclude that under the limitations of this study there seems to be a considerable need to improve the current knowledge on QMS for eLearning, and that clear guidelines and standards for their implementation should be further defined.

Encouragement for Faculty to Implement Vision and Change.

PubMed

Harvey, Caylyn; Eshleman, Kristen; Koo, Kyosung; Smith, Kevin G; Paradise, Christopher J; Campbell, A Malcolm

2016-01-01

The seminal report Vision and Change outlined improvements necessary for undergraduate biology courses to accomplish widely recognized learning objectives. Over the past 8 years, we have developed a two-semester introductory biology course that incorporates the core concepts and competencies recommended in Vision and Change Using published research on how students learn, we focused our efforts on three main areas of change: pedagogy, course content, and technology. We introduced active-learning strategies to improve our classroom environments, wrote an e-textbook that provides students with the tools they need to construct their own knowledge, and employed an online learning hub to assist students who needed extra support. The redesigned courses have been well received by students, and we have seen good student learning outcomes. The purpose of this essay is to demonstrate to faculty that Vision and Change's recommendations are feasible and students welcome the improvements. © 2016 C. Harvey et al. CBE—Life Sciences Education © 2016 The American Society for Cell Biology. This article is distributed by The American Society for Cell Biology under license from the author(s). It is available to the public under an Attribution–Noncommercial–Share Alike 3.0 Unported Creative Commons License (http://creativecommons.org/licenses/by-nc-sa/3.0).

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

ERIC Educational Resources Information Center

Ballera, Melvin; Elssaedi, Mosbah Mohamed

2012-01-01

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

Status of e-Learning Quality in Kenya: Case of Jomo Kenyatta University of Agriculture and Technology Postgraduate Students

ERIC Educational Resources Information Center

Hadullo, Kennedy; Oboko, Robert; Omwenga, Elijah

2018-01-01

There is a substantial increase in the use of learning management systems (LMSs) to support e-learning in higher education institutions, particularly in developing countries. This has been done with some measures of success and failure as well. There is evidence from literature that the provision of e-learning faces several quality issues relating…

Demographic Variables and Students Use of E-Learning Resources in Public Secondary Schools Libraries in Rivers State of Nigeria

ERIC Educational Resources Information Center

Owate, C. N.; Afolabi, M.; Akanwa, P. C.

2017-01-01

The applications of e-learning resources to studies, teaching and learning by both staff and students have been investigated. However, the provision of e-learning tools for stake-holders is a modern goal to improving as well as achieving the quality of educational system in the twenty first century is imperative. Students' demographic variables…

Using Software Testing Techniques for Efficient Handling of Programming Exercises in an e-Learning Platform

ERIC Educational Resources Information Center

Schwieren, Joachim; Vossen, Gottfried; Westerkamp, Peter

2006-01-01

e-Learning has become a major field of interest in recent years, and multiple approaches and solutions have been developed. A typical form of e-learning application comprises exercise submission and assessment systems that allow students to work on assignments whenever and where they want (i.e., dislocated, asynchronous work). In basic computer…

Promoting Nursing Students' Clinical Learning Through a Mobile e-Portfolio.

PubMed

Lai, Chin-Yuan; Wu, Cheng-Chih

2016-11-01

Portfolios have been advocated in nursing education to help student link theory and practice. In this study, we document the development of a mobile e-portfolio-based system, which was used to improve nursing education. The e-portfolio-based system has the advantage of allowing students to record, assess, and reflect upon their learning whether at school, a clinical site, or at home. This e-portfolio system was field tested in a 3-week psychiatric nursing practicum session involving 10 female students who were enrolled in a junior nursing college. A mixed-methods study combining qualitative and quantitative data was conducted to investigate the effects of using the system. The results of the study demonstrated that students made professional progress in both theory and practice after using the e-portfolio system. The system could also promote self-regulated learning in clinical context. Students displayed very positive attitudes overall when using the system, although there were some occasional stresses and technical difficulties. Important factors when implementing such a system included the following: adopting the proper mobile device, providing students with clear guidance on constructing the e-portfolio, and how to use the e-portfolio in a clinical setting.

A Dynamic Recommender System for Improved Web Usage Mining and CRM Using Swarm Intelligence.

PubMed

Alphy, Anna; Prabakaran, S

2015-01-01

In modern days, to enrich e-business, the websites are personalized for each user by understanding their interests and behavior. The main challenges of online usage data are information overload and their dynamic nature. In this paper, to address these issues, a WebBluegillRecom-annealing dynamic recommender system that uses web usage mining techniques in tandem with software agents developed for providing dynamic recommendations to users that can be used for customizing a website is proposed. The proposed WebBluegillRecom-annealing dynamic recommender uses swarm intelligence from the foraging behavior of a bluegill fish. It overcomes the information overload by handling dynamic behaviors of users. Our dynamic recommender system was compared against traditional collaborative filtering systems. The results show that the proposed system has higher precision, coverage, F1 measure, and scalability than the traditional collaborative filtering systems. Moreover, the recommendations given by our system overcome the overspecialization problem by including variety in recommendations.

A Dynamic Recommender System for Improved Web Usage Mining and CRM Using Swarm Intelligence

PubMed Central

Alphy, Anna; Prabakaran, S.

2015-01-01

In modern days, to enrich e-business, the websites are personalized for each user by understanding their interests and behavior. The main challenges of online usage data are information overload and their dynamic nature. In this paper, to address these issues, a WebBluegillRecom-annealing dynamic recommender system that uses web usage mining techniques in tandem with software agents developed for providing dynamic recommendations to users that can be used for customizing a website is proposed. The proposed WebBluegillRecom-annealing dynamic recommender uses swarm intelligence from the foraging behavior of a bluegill fish. It overcomes the information overload by handling dynamic behaviors of users. Our dynamic recommender system was compared against traditional collaborative filtering systems. The results show that the proposed system has higher precision, coverage, F1 measure, and scalability than the traditional collaborative filtering systems. Moreover, the recommendations given by our system overcome the overspecialization problem by including variety in recommendations. PMID:26229978

Use of live interactive webcasting for an international postgraduate module in ehealth: case study evaluation.

PubMed

Jones, Ray B; Maramba, Inocencio; Boulos, Maged N Kamel; Alexander, Tara

2009-11-13

Producing "traditional" e-learning can be time consuming, and in a topic such as eHealth, it may have a short shelf-life. Students sometimes report feeling isolated and lacking in motivation. Synchronous methods can play an important part in any blended approach to learning. The aim was to develop, deliver, and evaluate an international postgraduate module in eHealth using live interactive webcasting. We developed a hybrid solution for live interactive webcasting using a scan converter, mixer, and digitizer, and video server to embed a presenter-controlled talking head or copy of the presenter's computer screen (normally a PowerPoint slide) in a student chat room. We recruited 16 students from six countries and ran weekly 2.5-hour live sessions for 10 weeks. The content included the use of computers by patients, patient access to records, different forms of e-learning for patients and professionals, research methods in eHealth, geographic information systems, and telehealth. All sessions were recorded-presentations as video files and the student interaction as text files. Students were sent an email questionnaire of mostly open questions seeking their views of this form of learning. Responses were collated and anonymized by a colleague who was not part of the teaching team. Sessions were generally very interactive, with most students participating actively in breakout or full-class discussions. In a typical 2.5-hour session, students posted about 50 messages each. Two students did not complete all sessions; one withdrew from the pressure of work after session 6, and one from illness after session 7. Fourteen of the 16 responded to the feedback questionnaire. Most students (12/14) found the module useful or very useful, and all would recommend the module to others. All liked the method of delivery, in particular the interactivity, the variety of students, and the "closeness" of the group. Most (11/14) felt "connected" with the other students on the course. Many students (11/14) had previous experience with asynchronous e-learning, two as teachers; 12/14 students suggested advantages of synchronous methods, mostly associated with the interaction and feedback from teachers and peers. This model of synchronous e-learning based on interactive live webcasting was a successful method of delivering an international postgraduate module. Students found it engaging over a 10-week course. Although this is a small study, given that synchronous methods such as interactive webcasting are a much easier transition for lecturers used to face-to-face teaching than are asynchronous methods, they should be considered as part of the blend of e-learning methods. Further research and development is needed on interfaces and methods that are robust and accessible, on the most appropriate blend of synchronous and asynchronous work for different student groups, and on learning outcomes and effectiveness.

Learning of Rule Ensembles for Multiple Attribute Ranking Problems

NASA Astrophysics Data System (ADS)

Dembczyński, Krzysztof; Kotłowski, Wojciech; Słowiński, Roman; Szeląg, Marcin

In this paper, we consider the multiple attribute ranking problem from a Machine Learning perspective. We propose two approaches to statistical learning of an ensemble of decision rules from decision examples provided by the Decision Maker in terms of pairwise comparisons of some objects. The first approach consists in learning a preference function defining a binary preference relation for a pair of objects. The result of application of this function on all pairs of objects to be ranked is then exploited using the Net Flow Score procedure, giving a linear ranking of objects. The second approach consists in learning a utility function for single objects. The utility function also gives a linear ranking of objects. In both approaches, the learning is based on the boosting technique. The presented approaches to Preference Learning share good properties of the decision rule preference model and have good performance in the massive-data learning problems. As Preference Learning and Multiple Attribute Decision Aiding share many concepts and methodological issues, in the introduction, we review some aspects bridging these two fields. To illustrate the two approaches proposed in this paper, we solve with them a toy example concerning the ranking of a set of cars evaluated by multiple attributes. Then, we perform a large data experiment on real data sets. The first data set concerns credit rating. Since recent research in the field of Preference Learning is motivated by the increasing role of modeling preferences in recommender systems and information retrieval, we chose two other massive data sets from this area - one comes from movie recommender system MovieLens, and the other concerns ranking of text documents from 20 Newsgroups data set.

An Efficacious Measurement of Learning Initiatives: E-Learning Systems, Learning-Organization Culture, Knowledge Creation, and Innovativeness

ERIC Educational Resources Information Center

Grundhoefer, Raymie

2013-01-01

The purpose of this research is twofold: (a) develop a validated measure for learning initiatives based on knowledge-creation theory and (b) conduct a quantitative study to investigate the relationships between electronic learning systems, learning-organization culture, efficacious knowledge creation (EKC), and innovativeness. Although Cheng-Chang…

Best practice guidelines on informed consent for weight loss surgery patients.

PubMed

Sabin, James; Fanelli, Robert; Flaherty, Helen; Istfan, Nawfal; Mariner, Wendy; Barnes, Janet Nally; Pratt, Janey S A; Rossi, Laura; Samour, Patricia

2005-02-01

To provide evidence-based guidelines on informed consent and the education that underlies it for legally competent, severely obese weight loss surgery (WLS) patients. We conducted a systematic review of the scientific literature published on MEDLINE between 1984 and 2004. Three articles focused on informed consent for WLS; none was based on empirical studies. We summarized each paper and assigned evidence categories according to a grading system derived from established evidence-based models. We also relied on informed consent and educational materials from six WLS programs in Massachusetts. All evidence is Category D. Recommendations were based on a review of the available literature, informed consent materials from WLS programs, and expert opinion. This Task Group found that the informed consent process contributes to long-term outcome in multiple ways but is governed by limited legal requirements. We focused our report on the legal and ethical issues related to informed consent, i.e., disclosure vs. comprehension. Recommendations centered on the importance of assessing patient comprehension of informed consent materials, the content of those materials, and the use of active teaching/learning techniques to promote understanding. Although demonstrated comprehension is not a legal requirement for informed consent in Massachusetts or other states, the members of this Task Group found that the best interests of WLS patients, providers, and facilities are served when clinicians engage patients in active learning and collaborative decision making.

Online Learner Satisfaction and Collaborative Learning: Evidence from Saudi Arabia

ERIC Educational Resources Information Center

Alkhalaf, Salem; Nguyen, Jeremy; Nguyen, Anne; Drew, Steve

2013-01-01

Despite the considerable potential for e-learning to improve learning outcomes, particularly for female students and students who need to rely on distance learning, feedback from current users of e-learning systems in the Kingdom of Saudi Arabia (KSA) suggests a relatively low level of satisfaction. This study adopts a mixed-methods approach in…

A Comparison of Student Satisfaction between Traditional and Blended Technology Course Offerings in Physical Education

ERIC Educational Resources Information Center

Vernadakis, Nikolaos; Giannousi, Maria; Tsitskari, Efi; Antoniou, Panagiotis; Kioumourtzoglou, Efthimis

2012-01-01

Blended learning With the concerns and dissatisfaction with e-learning, educators are searching for alternative instructional delivery solutions to relieve the above problems. The blended e-learning system has been presented as a promising alternative learning approach. While blended learning has been recognized as having a number of advantages,…

Ontology Mappings to Improve Learning Resource Search

ERIC Educational Resources Information Center

Gasevic, Dragan; Hatala, Marek

2006-01-01

This paper proposes an ontology mapping-based framework that allows searching for learning resources using multiple ontologies. The present applications of ontologies in e-learning use various ontologies (eg, domain, curriculum, context), but they do not give a solution on how to interoperate e-learning systems based on different ontologies. The…

Implementing Collaborative Design in the Next Series of eLearning Platforms

ERIC Educational Resources Information Center

Kropf, Dorothy

2013-01-01

Collaborative design empowers learning management system (LMS) providers and end users (online students) to develop a vibrant teaching and learning community. Successful periodic collaborations utilizing collaborative web tools between these two pivotal groups can produce the next series of eLearning platforms that are fertile grounds for…

Caka E-Learning Model

ERIC Educational Resources Information Center

Gorsev, Gonca; Turkmen, Ugur; Askin, Cihat

2017-01-01

In today's world, in order to obtain the information in education, various approaches, methods and devices have been developed. Like many developing countries, e-learning and distance learning (internet based learning) are used today in many areas of education in Turkey. This research aims to contribute to education systems and develop a…

Quality specifications in postgraduate medical e-learning: an integrative literature review leading to a postgraduate medical e-learning model.

PubMed

De Leeuw, R A; Westerman, Michiel; Nelson, E; Ket, J C F; Scheele, F

2016-07-08

E-learning is driving major shifts in medical education. Prioritizing learning theories and quality models improves the success of e-learning programs. Although many e-learning quality standards are available, few are focused on postgraduate medical education. We conducted an integrative review of the current postgraduate medical e-learning literature to identify quality specifications. The literature was thematically organized into a working model. Unique quality specifications (n = 72) were consolidated and re-organized into a six-domain model that we called the Postgraduate Medical E-learning Model (Postgraduate ME Model). This model was partially based on the ISO-19796 standard, and drew on cognitive load multimedia principles. The domains of the model are preparation, software design and system specifications, communication, content, assessment, and maintenance. This review clarified the current state of postgraduate medical e-learning standards and specifications. It also synthesized these specifications into a single working model. To validate our findings, the next-steps include testing the Postgraduate ME Model in controlled e-learning settings.

Expert-Recommended Strategies for Teaching the Twice-Exceptional Student in the General Education Classroom

ERIC Educational Resources Information Center

Moody, Cherylynn Jody

2014-01-01

Purpose: The purpose of this study was to determine the best practice strategies, those that bring the most value for the twice-exceptional (2e) student (giftedness with autism spectrum disorder [ASD], attention deficit hyperactivity disorder [ADHD], specific learning disabilities [SLD], and/or emotional and behavioral disorder [EBD]) in the…

E-Learning System for Experiments Involving Construction of Practical Electronic Circuits

ERIC Educational Resources Information Center

Takemura, Atsushi

2013-01-01

This paper proposes a novel e-learning system for technical experiments involving the construction of practical electronic circuits; this system would meet the various demands of individual experimenters. This mixed mode is beneficial for practical use in that an experimenter who does not have sufficient circuit components for circuit making can…

The Relationship between National Culture and the Usability of an E-Learning System

ERIC Educational Resources Information Center

Downey, Steve; Wentling, Rose Mary; Wentling, Tim; Wadsworth, Andrew

2004-01-01

This study sought to measure the relationship between national culture and the usability of an e-Learning system by using Hofstede's cultural dimensions and Nielson's usability attributes. The study revealed that high uncertainty avoidance cultures found the system more frustrating to use. The study also revealed that individuals from cultures…

An e-Learning System with MR for Experiments Involving Circuit Construction to Control a Robot

ERIC Educational Resources Information Center

Takemura, Atsushi

2016-01-01

This paper proposes a novel e-Learning system for technological experiments involving electronic circuit-construction and controlling robot motion that are necessary in the field of technology. The proposed system performs automated recognition of circuit images transmitted from individual learners and automatically supplies the learner with…

Factors Affecting the Adoption of an E-Assessment System

ERIC Educational Resources Information Center

McCann, Ann L.

2010-01-01

A case study was conducted in 2006-07 to explore how one US campus implemented a centralised e-assessment system. The study specifically measured the extent of adoption by faculty members, identified their reasons for adoption and evaluated the impact on teaching and learning. The purposes of the system, entitled researching learning (REAL, a…

The Determinants of the Post-Adoption Satisfaction of Educators with an E-Learning System

ERIC Educational Resources Information Center

Islam, A. K. M. Najmul

2011-01-01

This paper examines factors that influence the post-adoption satisfaction of educators with e-learning systems. Based on the expectation-confirmation framework, we propose a research model that demonstrates how post-adoption beliefs affect post-adoption satisfaction. The model was tested at a university by educators (n = 175) who use an e-learning…

Attitudes and Perceptions of Students in a Systems Engineering E-Learnig Course

ERIC Educational Resources Information Center

de Vega, Carolina Armijo; McAnally-Salas, Lewis; Lavigne, Gilles

2009-01-01

In this paper is reported the attitudes and perception of students in a systems Engineering e-learning course and a teacher with more than six years of experience teaching online courses. The paper reports the teacher and students' perceptions about the e-learning courses experience. Personalized interviews with some of the students were carried…

Cognitive Analysis of Meaning and Acquired Mental Representations as an Alternative Measurement Method Technique to Innovate E-Assessment

ERIC Educational Resources Information Center

Morales-Martinez, Guadalupe Elizabeth; Lopez-Ramirez, Ernesto Octavio; Castro-Campos, Claudia; Villarreal-Treviño, Maria Guadalupe; Gonzales-Trujillo, Claudia Jaquelina

2017-01-01

Empirical directions to innovate e-assessments and to support the theoretical development of e-learning are discussed by presenting a new learning assessment system based on cognitive technology. Specifically, this system encompassing trained neural nets that can discriminate between students who successfully integrated new knowledge course…