Towards adaptation in e-learning 2.0

NASA Astrophysics Data System (ADS)

Cristea, Alexandra I.; Ghali, Fawaz

2011-04-01

This paper presents several essential steps from an overall study on shaping new ways of learning and teaching, by using the synergetic merger of three different fields: Web 2.0, e-learning and adaptation (in particular, personalisation to the learner). These novel teaching and learning ways-the latter focus of this paper-are reflected in and finally adding to various versions of the My Online Teacher 2.0 adaptive system. In particular, this paper focuses on a study of how to more effectively use and combine the recommendation of peers and content adaptation to enhance the learning outcome in e-learning systems based on Web 2.0. In order to better isolate and examine the effects of peer recommendation and adaptive content presentation, we designed experiments inspecting collaboration between individuals based on recommendation of peers who have greater knowledge, and compare this to adaptive content recommendation, as well as to "simple" learning in a system with a minimum of Web 2.0 support. Overall, the results of adding peer recommendation and adaptive content presentation were encouraging, and are further discussed in detail in this paper.

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.

Personalized Recommendation of Learning Material Using Sequential Pattern Mining and Attribute Based Collaborative Filtering

ERIC Educational Resources Information Center

Salehi, Mojtaba; Nakhai Kamalabadi, Isa; Ghaznavi Ghoushchi, Mohammad Bagher

2014-01-01

Material recommender system is a significant part of e-learning systems for personalization and recommendation of appropriate materials to learners. However, in the existing recommendation algorithms, dynamic interests and multi-preference of learners and multidimensional-attribute of materials are not fully considered simultaneously. Moreover,…

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…

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.

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…

Constructivist E-Learning in Higher Education

ERIC Educational Resources Information Center

Bognar, Branko; Gajger, Vesna; Ivic, Vlatka

2015-01-01

The use of e-learning has been recommended at all levels of the educational system, thus in higher education as well, but it is very often reduced to downloading teaching materials from the teachers' websites. Students rarely participate in forums discussing some teaching topics, and they even less use the learning management system in their…

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 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.

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.

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.

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…

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…

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.

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…

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…

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…

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.

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.

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.

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.…

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…

A Study of Learner-Oriented Negative Emotion Compensation in E-Learning

ERIC Educational Resources Information Center

Qin, Jiwei; Zheng, Qinghua; Li, Haifei

2014-01-01

E-learning provides an unprecedented flexibility and convenience for e-learners by breaking the limitations of space and time. However, the role of emotion is neglected in current e-learning systems. We focus strictly on negative emotions of e-learners, integrating emotion regulation theories with recommender technique, and present the study of…

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.

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…

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…

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.

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.

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…

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…

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…

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…

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.

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

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…

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…

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.

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…

Web-Based Learning Information System for Web 3.0

NASA Astrophysics Data System (ADS)

Rego, Hugo; Moreira, Tiago; García-Peñalvo, Francisco Jose

With the emergence of Web/eLearning 3.0 we have been developing/adjusting AHKME in order to face this great challenge. One of our goals is to allow the instructional designer and teacher to access standardized resources and evaluate the possibility of integration and reuse in eLearning systems, not only content but also the learning strategy. We have also integrated some collaborative tools for the adaptation of resources, as well as the collection of feedback from users to provide feedback to the system. We also provide tools for the instructional designer to create/customize specifications/ontologies to give structure and meaning to resources, manual and automatic search with recommendation of resources and instructional design based on the context, as well as recommendation of adaptations in learning resources. We also consider the concept of mobility and mobile technology applied to eLearning, allowing access by teachers and students to learning resources, regardless of time and space.

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…

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.

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.

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.

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…

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…

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…

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…

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

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.

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.

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…

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…

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…

Eliciting design patterns for e-learning systems

NASA Astrophysics Data System (ADS)

Retalis, Symeon; Georgiakakis, Petros; Dimitriadis, Yannis

2006-06-01

Design pattern creation, especially in the e-learning domain, is a highly complex process that has not been sufficiently studied and formalized. In this paper, we propose a systematic pattern development cycle, whose most important aspects focus on reverse engineering of existing systems in order to elicit features that are cross-validated through the use of appropriate, authentic scenarios. However, an iterative pattern process is proposed that takes advantage of multiple data sources, thus emphasizing a holistic view of the teaching learning processes. The proposed schema of pattern mining has been extensively validated for Asynchronous Network Supported Collaborative Learning (ANSCL) systems, as well as for other types of tools in a variety of scenarios, with promising results.

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…

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.…

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…

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.

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 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…

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.

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.

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.

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.…

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…

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…

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…

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.

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…

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.

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,…

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…

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…

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…

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.

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…

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.

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.

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…

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…

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…

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.

E-learning environment as intelligent tutoring system

NASA Astrophysics Data System (ADS)

Nagyová, Ingrid

2017-07-01

The development of computers and artificial intelligence theory allow their application in the field of education. Intelligent tutoring systems reflect student learning styles and adapt the curriculum according to their individual needs. The building of intelligent tutoring systems requires not only the creation of suitable software, but especially the search and application of the rules enabling ICT to individually adapt the curriculum. The main idea of this paper is to attempt to specify the rules for dividing the students to systematically working students and more practically or pragmatically inclined students. The paper shows that monitoring the work of students in e-learning environment, analysis of various approaches to educational materials and correspondence assignments show different results for the defined groups of students.

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

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…

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.

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…

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…

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…

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.

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…

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.

E-Learning Development Process for Operating System Course in Vocational School

NASA Astrophysics Data System (ADS)

Tuna, J. R.; Manoppo, C. T. M.; Kaparang, D. R.; Mewengkang, A.

2018-02-01

This development research aims to produce learning media in the form of E- Learning media using Edmodo which is interesting, efficient and effective on the subjects of operating system for students of class X TKJ in SMKN 3 Manado. The development model used was developed by S. Thiagarajan et al., Often known as the Four-D model, but this research only uses (define, design, and develop). Trial of the product is done twice (limited and wide). The experimental design used was the before-after experimental design. Data collection techniques used are interview techniques, questionnaires, and tests. The analytical technique used in this development research is descriptive qualitative. These include analysis of attractiveness test, efficiency and effectiveness of E-Learning media using Edmodo. The media attractiveness test was measured using a student response questionnaire. Media efficiency test was obtained through interviews of researchers with operating system subjects teachers and students of class X TKJ 1 at SMKN 3 Manado. While the media effectiveness test obtained from student learning outcomes before and after applying E-Learning media using Edomodo. Then tested by paired sample t test formula. After the media was piloted on the subject of trials (limited and broad), and the results show that E-Learning media using Edmodo is interesting, efficient and effective. It is shown on average student response score of 88.15% with very interesting interpretation. While the average value of student learning outcomes increased from 76.33 to 82.93. The results of differential test (paired sample t-test) the value of t = 11 217 ≥ ttable = 2,045 with significant value = 0.000 <α = 0.050 showing the media E -Learning using Edmodo is effective.

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…

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.

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…

Leveraging e-learning in medical education.

PubMed

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

2014-07-01

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.

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…

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.

Learning Path Recommendation Based on Modified Variable Length Genetic Algorithm

ERIC Educational Resources Information Center

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

2018-01-01

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

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 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…

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…

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…

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…

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,…

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…

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…

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…

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…

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…

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.

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.…

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.

[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.

A Mobile-Based E-Learning System

ERIC Educational Resources Information Center

Ojokoh, Bolanle Adefowoke; Doyeni, Olubimtan Ayo; Adewale, Olumide Sunday; Isinkaye, Folasade Olubusola

2013-01-01

E-learning is an innovative approach for delivering electronically mediated, well-designed, learner-centred interactive learning environments by utilizing internet and digital technologies with respect to instructional design principles. This paper presents the application of Software Development techniques in the development of a Mobile Based…

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…

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…

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…

Kernelized rank learning for personalized drug recommendation.

PubMed

He, Xiao; Folkman, Lukas; Borgwardt, Karsten

2018-03-08

Large-scale screenings of cancer cell lines with detailed molecular profiles against libraries of pharmacological compounds are currently being performed in order to gain a better understanding of the genetic component of drug response and to enhance our ability to recommend therapies given a patient's molecular profile. These comprehensive screens differ from the clinical setting in which (1) medical records only contain the response of a patient to very few drugs, (2) drugs are recommended by doctors based on their expert judgment, and (3) selecting the most promising therapy is often more important than accurately predicting the sensitivity to all potential drugs. Current regression models for drug sensitivity prediction fail to account for these three properties. We present a machine learning approach, named Kernelized Rank Learning (KRL), that ranks drugs based on their predicted effect per cell line (patient), circumventing the difficult problem of precisely predicting the sensitivity to the given drug. Our approach outperforms several state-of-the-art predictors in drug recommendation, particularly if the training dataset is sparse, and generalizes to patient data. Our work phrases personalized drug recommendation as a new type of machine learning problem with translational potential to the clinic. The Python implementation of KRL and scripts for running our experiments are available at https://github.com/BorgwardtLab/Kernelized-Rank-Learning. xiao.he@bsse.ethz.ch, lukas.folkman@bsse.ethz.ch. Supplementary data are available at Bioinformatics online.

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…

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.

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…

Recommender systems

NASA Astrophysics Data System (ADS)

Lü, Linyuan; Medo, Matúš; Yeung, Chi Ho; Zhang, Yi-Cheng; Zhang, Zi-Ke; Zhou, Tao

2012-10-01

The ongoing rapid expansion of the Internet greatly increases the necessity of effective recommender systems for filtering the abundant information. Extensive research for recommender systems is conducted by a broad range of communities including social and computer scientists, physicists, and interdisciplinary researchers. Despite substantial theoretical and practical achievements, unification and comparison of different approaches are lacking, which impedes further advances. In this article, we review recent developments in recommender systems and discuss the major challenges. We compare and evaluate available algorithms and examine their roles in the future developments. In addition to algorithms, physical aspects are described to illustrate macroscopic behavior of recommender systems. Potential impacts and future directions are discussed. We emphasize that recommendation has great scientific depth and combines diverse research fields which makes it interesting for physicists as well as interdisciplinary researchers.

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

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…

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.

Promoting Cold-Start Items in Recommender Systems

PubMed Central

Liu, Jin-Hu; Zhou, Tao; Zhang, Zi-Ke; Yang, Zimo; Liu, Chuang; Li, Wei-Min

2014-01-01

As one of the major challenges, cold-start problem plagues nearly all recommender systems. In particular, new items will be overlooked, impeding the development of new products online. Given limited resources, how to utilize the knowledge of recommender systems and design efficient marketing strategy for new items is extremely important. In this paper, we convert this ticklish issue into a clear mathematical problem based on a bipartite network representation. Under the most widely used algorithm in real e-commerce recommender systems, the so-called item-based collaborative filtering, we show that to simply push new items to active users is not a good strategy. Interestingly, experiments on real recommender systems indicate that to connect new items with some less active users will statistically yield better performance, namely, these new items will have more chance to appear in other users' recommendation lists. Further analysis suggests that the disassortative nature of recommender systems contributes to such observation. In a word, getting in-depth understanding on recommender systems could pave the way for the owners to popularize their cold-start products with low costs. PMID:25479013

Promoting cold-start items in recommender systems.

PubMed

Liu, Jin-Hu; Zhou, Tao; Zhang, Zi-Ke; Yang, Zimo; Liu, Chuang; Li, Wei-Min

2014-01-01

As one of the major challenges, cold-start problem plagues nearly all recommender systems. In particular, new items will be overlooked, impeding the development of new products online. Given limited resources, how to utilize the knowledge of recommender systems and design efficient marketing strategy for new items is extremely important. In this paper, we convert this ticklish issue into a clear mathematical problem based on a bipartite network representation. Under the most widely used algorithm in real e-commerce recommender systems, the so-called item-based collaborative filtering, we show that to simply push new items to active users is not a good strategy. Interestingly, experiments on real recommender systems indicate that to connect new items with some less active users will statistically yield better performance, namely, these new items will have more chance to appear in other users' recommendation lists. Further analysis suggests that the disassortative nature of recommender systems contributes to such observation. In a word, getting in-depth understanding on recommender systems could pave the way for the owners to popularize their cold-start products with low costs.

Video copy protection and detection framework (VPD) for e-learning systems

NASA Astrophysics Data System (ADS)

ZandI, Babak; Doustarmoghaddam, Danial; Pour, Mahsa R.

2013-03-01

This Article reviews and compares the copyright issues related to the digital video files, which can be categorized as contended based and Digital watermarking copy Detection. Then we describe how to protect a digital video by using a special Video data hiding method and algorithm. We also discuss how to detect the copy right of the file, Based on expounding Direction of the technology of the video copy detection, and Combining with the own research results, brings forward a new video protection and copy detection approach in terms of plagiarism and e-learning systems using the video data hiding technology. Finally we introduce a framework for Video protection and detection in e-learning systems (VPD Framework).

Does Artificial Tutoring Foster Inquiry Based Learning?

ERIC Educational Resources Information Center

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

2014-01-01

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

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…

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…

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…

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…

Comulang: towards a collaborative e-learning system that supports student group modeling.

PubMed

Troussas, Christos; Virvou, Maria; Alepis, Efthimios

2013-01-01

This paper describes an e-learning system that is expected to further enhance the educational process in computer-based tutoring systems by incorporating collaboration between students and work in groups. The resulting system is called "Comulang" while as a test bed for its effectiveness a multiple language learning system is used. Collaboration is supported by a user modeling module that is responsible for the initial creation of student clusters, where, as a next step, working groups of students are created. A machine learning clustering algorithm works towards group formatting, so that co-operations between students from different clusters are attained. One of the resulting system's basic aims is to provide efficient student groups whose limitations and capabilities are well balanced.

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…

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…

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…

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.

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…

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.

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 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…

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,…

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…

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…

Security Enhancement Using Cache Based Reauthentication in WiMAX Based E-Learning System

PubMed Central

Rajagopal, Chithra; Bhuvaneshwaran, Kalaavathi

2015-01-01

WiMAX networks are the most suitable for E-Learning through their Broadcast and Multicast Services at rural areas. Authentication of users is carried out by AAA server in WiMAX. In E-Learning systems the users must be forced to perform reauthentication to overcome the session hijacking problem. The reauthentication of users introduces frequent delay in the data access which is crucial in delaying sensitive applications such as E-Learning. In order to perform fast reauthentication caching mechanism known as Key Caching Based Authentication scheme is introduced in this paper. Even though the cache mechanism requires extra storage to keep the user credentials, this type of mechanism reduces the 50% of the delay occurring during reauthentication. PMID:26351658

Security Enhancement Using Cache Based Reauthentication in WiMAX Based E-Learning System.

PubMed

Rajagopal, Chithra; Bhuvaneshwaran, Kalaavathi

2015-01-01

WiMAX networks are the most suitable for E-Learning through their Broadcast and Multicast Services at rural areas. Authentication of users is carried out by AAA server in WiMAX. In E-Learning systems the users must be forced to perform reauthentication to overcome the session hijacking problem. The reauthentication of users introduces frequent delay in the data access which is crucial in delaying sensitive applications such as E-Learning. In order to perform fast reauthentication caching mechanism known as Key Caching Based Authentication scheme is introduced in this paper. Even though the cache mechanism requires extra storage to keep the user credentials, this type of mechanism reduces the 50% of the delay occurring during reauthentication.

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…

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…

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.

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…

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.

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…

From E-Learning Space to E-Learning Place

ERIC Educational Resources Information Center

Wahlstedt, Ari; Pekkola, Samuli; Niemela, Marketta

2008-01-01

In this paper, it is argued that e-learning environments are currently more like "buildings", i.e., learning spaces, rather than "schools", i.e., places for learning. The concepts originated from architecture and urban design, where they are used both to distinguish static spaces from inhabited places, and more importantly, as design objectives.…

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.

Using a User-Interactive QA System for Personalized E-Learning

ERIC Educational Resources Information Center

Hu, Dawei; Chen, Wei; Zeng, Qingtian; Hao, Tianyong; Min, Feng; Wenyin, Liu

2008-01-01

A personalized e-learning framework based on a user-interactive question-answering (QA) system is proposed, in which a user-modeling approach is used to capture personal information of students and a personalized answer extraction algorithm is proposed for personalized automatic answering. In our approach, a topic ontology (or concept hierarchy)…

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…

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…

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.

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…

Research-based recommendations for implementing international service-learning.

PubMed

Amerson, Roxanne

2014-01-01

An increasing number of schools of nursing are incorporating international service-learning and/or immersion experiences into their curriculum to promote cultural competence. The purpose of this paper is to identify research-based recommendations for implementing an international service-learning program. A review of literature was conducted in the Cumulative Index of Nursing and Allied Health Literature database using the keywords international, immersion, cultural competence, nursing, and international service-learning. Additional references were located from the reference lists of related articles. Planning of international or immersion experiences requires consideration of the type of country, the length of time, and design of the program; the use of a service-learning framework; opportunities that require the student to live and work in the community, provide hands-on care, participate in unstructured activities, and make home visits; and a method of reflection. Increasing cultural competence does not require foreign travel, but it does necessitate that students are challenged to move outside their comfort zone and work directly with diverse populations. These research-based recommendations may be used either internationally or locally to promote the most effective service-learning opportunities for nursing students. © 2014.

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…

Information system analysis of an e-learning system used for dental restorations simulation.

PubMed

Bogdan, Crenguţa M; Popovici, Dorin M

2012-09-01

The goal of using virtual and augmented reality technologies in therapeutic interventions simulation, in the fixed prosthodontics (VirDenT) project, is to increase the quality of the educational process in dental faculties, by assisting students in learning how to prepare teeth for all-ceramic restorations. Its main component is an e-learning virtual reality-based software system that will be used for the developing skills in grinding teeth, needed in all-ceramic restorations. The complexity of the domain problem that the software system dealt with made the analysis of the information system supported by VirDenT necessary. The analysis contains the following activities: identification and classification of the system stakeholders, description of the business processes, formulation of the business rules, and modelling of business objects. During this stage, we constructed the context diagram, the business use case diagram, the activity diagrams and the class diagram of the domain model. These models are useful for the further development of the software system that implements the VirDenT information system. Copyright © 2011 Elsevier Ireland Ltd. All rights reserved.

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.

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.

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…

Integrated Model for E-Learning Acceptance

NASA Astrophysics Data System (ADS)

Ramadiani; Rodziah, A.; Hasan, S. M.; Rusli, A.; Noraini, C.

2016-01-01

E-learning is not going to work if the system is not used in accordance with user needs. User Interface is very important to encourage using the application. Many theories had discuss about user interface usability evaluation and technology acceptance separately, actually why we do not make it correlation between interface usability evaluation and user acceptance to enhance e-learning process. Therefore, the evaluation model for e-learning interface acceptance is considered important to investigate. The aim of this study is to propose the integrated e-learning user interface acceptance evaluation model. This model was combined some theories of e-learning interface measurement such as, user learning style, usability evaluation, and the user benefit. We formulated in constructive questionnaires which were shared at 125 English Language School (ELS) students. This research statistics used Structural Equation Model using LISREL v8.80 and MANOVA analysis.

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…

Controlled Experiment Replication in Evaluation of E-Learning System's Educational Influence

ERIC Educational Resources Information Center

Grubisic, Ani; Stankov, Slavomir; Rosic, Marko; Zitko, Branko

2009-01-01

We believe that every effectiveness evaluation should be replicated at least in order to verify the original results and to indicate evaluated e-learning system's advantages or disadvantages. This paper presents the methodology for conducting controlled experiment replication, as well as, results of a controlled experiment and an internal…

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.

Semantically Enhanced Recommender Systems

NASA Astrophysics Data System (ADS)

Ruiz-Montiel, Manuela; Aldana-Montes, José F.

Recommender Systems have become a significant area in the context of web personalization, given the large amount of available data. Ontologies can be widely taken advantage of in recommender systems, since they provide a means of classifying and discovering of new information about the items to recommend, about user profiles and even about their context. We have developed a semantically enhanced recommender system based on this kind of ontologies. In this paper we present a description of the proposed system.

Evaluating Recommendation Systems

NASA Astrophysics Data System (ADS)

Shani, Guy; Gunawardana, Asela

Recommender systems are now popular both commercially and in the research community, where many approaches have been suggested for providing recommendations. In many cases a system designer that wishes to employ a recommendation system must choose between a set of candidate approaches. A first step towards selecting an appropriate algorithm is to decide which properties of the application to focus upon when making this choice. Indeed, recommendation systems have a variety of properties that may affect user experience, such as accuracy, robustness, scalability, and so forth. In this paper we discuss how to compare recommenders based on a set of properties that are relevant for the application. We focus on comparative studies, where a few algorithms are compared using some evaluation metric, rather than absolute benchmarking of algorithms. We describe experimental settings appropriate for making choices between algorithms. We review three types of experiments, starting with an offline setting, where recommendation approaches are compared without user interaction, then reviewing user studies, where a small group of subjects experiment with the system and report on the experience, and finally describe large scale online experiments, where real user populations interact with the system. In each of these cases we describe types of questions that can be answered, and suggest protocols for experimentation. We also discuss how to draw trustworthy conclusions from the conducted experiments. We then review a large set of properties, and explain how to evaluate systems given relevant properties. We also survey a large set of evaluation metrics in the context of the properties that they evaluate.

E-learning: Web-based education.

PubMed

Sajeva, Marco

2006-12-01

This review introduces state-of-the-art Web-based education and shows how the e-learning model can be applied to an anaesthesia department using Open Source solutions, as well as lifelong learning programs, which is happening in several European research projects. The definition of the term e-learning is still a work in progress due to the fact that technologies are evolving every day and it is difficult to improve teaching methodologies or to adapt traditional methods to a new or already existing educational model. The European Community is funding several research projects to define the new common market place for tomorrow's educational system; this is leading to new frontiers like virtual Erasmus inter-exchange programs based on e-learning. The first step when adapting a course to e-learning is to re-define the educational/learning model adopted: cooperative learning and tutoring are the two key concepts. This means that traditional lecture notes, books and exercises are no longer effective; teaching files must use rich multimedia content and have to be developed using the new media. This can lead to several pitfalls that can be avoided with an accurate design phase.

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.

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.

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,…

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…

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'…

Recommender systems in knowledge-mining

NASA Astrophysics Data System (ADS)

Volna, Eva

2017-07-01

The subject of the paper is to analyse the possibilities of application of recommender systems in the field of data mining. The work focuses on three basic types of recommender systems (collaborative, content-based and hybrid). The goal of the article is to evaluate which of these three concepts of recommender systems provides forecast with the lowest error rate in the domain of recommending movies. This target is fulfilled by the practical part of the work - at first, the own recommender system was designed and created, capable of obtaining movies recommendation from the database based on the user's preferences. Next, we verified experimentally which recommender system produces more accurate results.

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…

Recurrent Themes in E-Learning: A Narrative Analysis of Major E-Learning Reports

ERIC Educational Resources Information Center

Waight, Consuelo L.; Willging, Pedro; Wentling, Tim

2004-01-01

E-learning, sometimes referred to as online learning, Web-based learning, distance learning, and technology-based learning, among other names, is a concept that has garnered significant global attention. This broad attention to e-learning has resulted in numerous e-learning reports. In doing extensive Web searches for e-learning reports, the…

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…

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.

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.

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.

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…

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…

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.…

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.

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.

Effective e-Training: Using a Course Management System and e-Learning Tools to Train Library Employees

ERIC Educational Resources Information Center

See, Andrew; Teetor, Travis Stephen

2014-01-01

In the summer of 2012, the University of Arizona Libraries implemented an online training program to effectively train Access Services staff and student employees at a large academic research library. This article discusses the program, which was built using a course management system (D2L) and various e-Learning software applications (Articulate…

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…

An e-Learning System for Extracting Text Comprehension and Learning Style Characteristics

ERIC Educational Resources Information Center

Samarakou, Maria; Tsaganou, Grammatiki; Papadakis, Andreas

2018-01-01

Technology-mediated learning is very actively and widely researched, with numerous e-learning environments designed for different educational purposes developed during the past few decades. Still, their organization and texts are not structured according to any theory of educational comprehension. Modern education is even more flexible and, thus,…

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…

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…

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.

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.

Embedding Analogical Reasoning into 5E Learning Model: A Study of the Solar System

ERIC Educational Resources Information Center

Devecioglu-Kaymakci, Yasemin

2016-01-01

The purpose of this study was to investigate how the 5E learning model affects learning about the Solar System when an analogical model is utilized in teaching. The data were gathered in an urban middle school 7th grade science course while teaching relevant astronomy topics. The analogical model developed by the researchers was administered to 20…

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…

Marketing E-Commerce by Social media using Product Recommendations and user Embedding

NASA Astrophysics Data System (ADS)

Ramalingam, V. V.; Pandian, A.; Masilamani, Kirthiga

2018-04-01

MarketingE-CommercebySodal media is the best way to improve marketing and business widely.The major issues faced with E-commerce and Social media interfacing is cold- start cross-site problem. The cold-start problem occurs at a situation when user is not having the history of purchase records.For the user who does not have a history of purchase records, we have introduced a method of finding the users’ interested product without knowing any of the demographic information of the user. The product is recommended on basesof visits i.e., the item which is most likely to be visited by the users occur in the hit list. This product is rated at the top position for the users to purchase. The e-commerce with social media sites uses the strategy of user embedding and product recommendations. The product recommendations are achieved by incorporating LatentDirichlet Allocation(LDA), Re Ranking and Collaborative Filtering algorithms. The proposed framework can enhance the recommendation system by embedding products and users. This shows the potential of solving cold-start cross-site problem across the e-commerce and social media sites and enhances the marketing strategy.

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…

E-Learning Agents

ERIC Educational Resources Information Center

Gregg, Dawn G.

2007-01-01

Purpose: The purpose of this paper is to illustrate the advantages of using intelligent agents to facilitate the location and customization of appropriate e-learning resources and to foster collaboration in e-learning environments. Design/methodology/approach: This paper proposes an e-learning environment that can be used to provide customized…

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…

A Descriptive Review of Mainline E-Learning Projects in the European Union: E-Learning Action Plan and E-Learning Program

ERIC Educational Resources Information Center

Uzunboylu, Huseyin

2006-01-01

This study's purpose was to survey the literature on European Union (EU) e-learning strategies specifically related to two mainline e-learning projects: the learning Action Plan and the E-Learning Program. Results of the evaluation and interpretation of the literature show that the European Commission has positively impacted European Union…

Distributed Deliberative Recommender Systems

NASA Astrophysics Data System (ADS)

Recio-García, Juan A.; Díaz-Agudo, Belén; González-Sanz, Sergio; Sanchez, Lara Quijano

Case-Based Reasoning (CBR) is one of most successful applied AI technologies of recent years. Although many CBR systems reason locally on a previous experience base to solve new problems, in this paper we focus on distributed retrieval processes working on a network of collaborating CBR systems. In such systems, each node in a network of CBR agents collaborates, arguments and counterarguments its local results with other nodes to improve the performance of the system's global response. We describe D2ISCO: a framework to design and implement deliberative and collaborative CBR systems that is integrated as a part of jcolibritwo an established framework in the CBR community. We apply D2ISCO to one particular simplified type of CBR systems: recommender systems. We perform a first case study for a collaborative music recommender system and present the results of an experiment of the accuracy of the system results using a fuzzy version of the argumentation system AMAL and a network topology based on a social network. Besides individual recommendation we also discuss how D2ISCO can be used to improve recommendations to groups and we present a second case of study based on the movie recommendation domain with heterogeneous groups according to the group personality composition and a group topology based on a social network.

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.

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.

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…

E learning in surgery.

PubMed

Aryal, Kamal Raj; Pereira, Jerome

2014-12-01

E learning means use of electronic media and information technologies in education. Virtual learning environment (VLE) provides learning platforms consisting of online tools, databases and managed resources. This article is a review of use of E learning in medical and surgical education including available evidence favouring this approach. E learning has been shown to be more effective, less costly and more satisfying to the students than the traditional methods. E learning cannot however replace direct consultant supervision at their place of work in surgical trainees and a combination of both called blended learning has been shown to be most useful. As an example of university-based qualification, one such programme is presented to clarify the components and the process of E learning. Increasing use of E learning and occasional face to face focussed supervision by the teacher is likely to enhance surgical training in the future.

e-Learning Continuance Intention: Moderating Effects of User e-Learning Experience

ERIC Educational Resources Information Center

Lin, Kan-Min

2011-01-01

This study explores the determinants of the e-learning continuance intention of users with different levels of e-learning experience and examines the moderating effects of e-learning experience on the relationships among the determinants. The research hypotheses are empirically validated using the responses received from a survey of 256 users. The…

Development of an Audit Classification Index (ACI) for Federal E-Learning Systems Security Vulnerabilities

ERIC Educational Resources Information Center

Johnson, Gerald D.

2012-01-01

As U.S federal government agencies have increased the use of the Internet to utilize technologies such as e-learning, U.S. federal government information systems have become more exposed to security vulnerabilities that may contribute to system attacks and system exploitation. U.S. federal government agencies are required to come up with their own…

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.

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).

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…

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.

The Consortium of E-Learning in Geriatrics Instruction.

PubMed

Ruiz, Jorge G; Teasdale, Thomas A; Hajjar, Ihab; Shaughnessy, Marianne; Mintzer, Michael J

2007-03-01

This paper describes the activities of the Consortium of E-Learning in Geriatrics Instruction (CELGI), a group dedicated to creating, using, and evaluating e-learning to enhance geriatrics education. E-learning provides a relatively new approach to addressing geriatrics educators' concerns, such as the shortage of professionals trained to care for older people, overcrowded medical curricula, the move to transfer teaching venues to community settings, and the switch to competency-based education models. However, this innovative education technology is facing a number of challenges as its use and influence grow, including proof of effectiveness and efficiency. CELGI was created in response to these challenges, with the goal of facilitating the development and portability of e-learning materials for geriatrics educators. Members represent medical and nursing schools, the Department of Veterans Affairs healthcare system, long-term care facilities, and other institutions that rely on continuing streams of quality health education. CELGI concentrates on providing a coordinated approach to formulating and adapting specifications, standards, and guidelines; developing education and training in e-learning competencies; developing e-learning products; evaluating the effect of e-learning materials; and disseminating these materials. The vision of consortium members is that e-learning for geriatric education will become the benchmark for valid and successful e-learning throughout medical education.

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

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

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…

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)…

Management of an eLearning Evaluation Project: The e3Learning Model

ERIC Educational Resources Information Center

Lam, Paul; McNaught, Carmel

2007-01-01

This article describes the evaluation of purpose-built course websites for university-level teaching and learning developed by a funded project (e3Learning, e3L) in Hong Kong, which was designed to support teachers in three universities to supplement classroom teaching with eLearning. Previous articles on the e3L project have described the…

Intelligent E-Learning Systems: Automatic Construction of Ontologies

NASA Astrophysics Data System (ADS)

Peso, Jesús del; de Arriaga, Fernando

2008-05-01

During the last years a new generation of Intelligent E-Learning Systems (ILS) has emerged with enhanced functionality due, mainly, to influences from Distributed Artificial Intelligence, to the use of cognitive modelling, to the extensive use of the Internet, and to new educational ideas such as the student-centered education and Knowledge Management. The automatic construction of ontologies provides means of automatically updating the knowledge bases of their respective ILS, and of increasing their interoperability and communication among them, sharing the same ontology. The paper presents a new approach, able to produce ontologies from a small number of documents such as those obtained from the Internet, without the assistance of large corpora, by using simple syntactic rules and some semantic information. The method is independent of the natural language used. The use of a multi-agent system increases the flexibility and capability of the method. Although the method can be easily improved, the results so far obtained, are promising.

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…

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…

Creating More Credible and Persuasive Recommender Systems: The Influence of Source Characteristics on Recommender System Evaluations

NASA Astrophysics Data System (ADS)

Yoo, Kyung-Hyan; Gretzel, Ulrike

Whether users are likely to accept the recommendations provided by a recommender system is of utmost importance to system designers and the marketers who implement them. By conceptualizing the advice seeking and giving relationship as a fundamentally social process, important avenues for understanding the persuasiveness of recommender systems open up. Specifically, research regarding the influence of source characteristics, which is abundant in the context of humanhuman relationships, can provide an important framework for identifying potential influence factors. This chapter reviews the existing literature on source characteristics in the context of human-human, human-computer, and human-recommender system interactions. It concludes that many social cues that have been identified as influential in other contexts have yet to be implemented and tested with respect to recommender systems. Implications for recommender system research and design are discussed.

Influence of Learning Management Systems Self-Efficacy on E-Learning Performance

ERIC Educational Resources Information Center

Martin, Florence; Tutty, Jeremy I.; Su, Yuyan

2010-01-01

Recent advancements in technology have changed the way educators teach and students learn (Wells, Fieger & Lange, 2005). In the last decade, educational trends have progressed towards online and blended instruction. One key in this revolution is the development of the Learning Management System (LMS); software that enables the management and…

International service learning programs: ethical issues and recommendations.

PubMed

Reisch, Rebecca A

2011-08-01

Inequities in global health are increasingly of interest to health care providers in developed countries. In response, many academic healthcare programs have begun to offer international service learning programs. Participants in these programs are motivated by ethical principles, but this type of work presents significant ethical challenges, and no formalized ethical guidelines for these activities exist. In this paper the ethical issues presented by international service learning programs are described and recommendations are made for how academic healthcare programs can carry out international service learning programs in a way that minimizes ethical conflicts and maximizes benefits for all stakeholders. Issues related to project sustainability and community involvement are emphasized. © 2011 Blackwell Publishing Ltd.

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

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

E-Learning QUICK Checklist

ERIC Educational Resources Information Center

Khan, Badrul

2005-01-01

"E-Learning QUICK Checklist" walks readers through the various factors important to developing, evaluating and implementing an open, flexible and distributed learning environment. This book is designed as a quick checklist for e-learning. It contains many practical items that the reader can use as review criteria to check if e-learning modules,…

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,…

eLearning for health system leadership and management capacity building: a protocol for a systematic review

PubMed Central

Tudor Car, Lorainne; Atun, Rifat

2017-01-01

Introduction Health leadership and management capacity are essential for health system strengthening and for attaining universal health coverage by optimising the existing human, technological and financial resources. However, in health systems, health leadership and management training is not widely available. The use of information technology for education (ie, eLearning) could help address this training gap by enabling flexible, efficient and scalable health leadership and management training. We present a protocol for a systematic review on the effectiveness of eLearning for health leadership and management capacity building in improving health system outcomes. Methodology and analysis We will follow the Cochrane Collaboration methodology. We will search for experimental studies focused on the use of any type of eLearning modality for health management and leadership capacity building in all types of health workforce cadres. The primary outcomes of interest will be health outcomes, financial risk protection and user satisfaction. In addition, secondary outcomes of interest include the attainment of health system objectives of improved equity, efficiency, effectiveness and responsiveness. We will search relevant databases of published and grey literature as well as clinical trials registries from 1990 onwards without language restrictions. Two review authors will screen references, extract data and perform risk of bias assessment independently. Contingent on the heterogeneity of the collated literature, we will perform either a meta-analysis or a narrative synthesis of the collated data. Ethics and dissemination The systematic review will aim to inform policy makers, investors, health professionals, technologists and educators about the existing evidence, potential gaps in literature and the impact of eLearning for health leadership and management capacity building on health system outcomes. We will disseminate the review findings by publishing it as a peer

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,…

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…

Development of Igbo Language E-Learning System

ERIC Educational Resources Information Center

Oyelami, Olufemi Moses

2008-01-01

E-Learning involves using a variety of computer and networking technologies to access training materials. The United Nations report, quoted in one of the Nigerian dailies towards the end of year 2006, says that most of the minor languages in the world would be extinct by the year 2050. African languages are currently suffering from discard by…

A Multi-Language System for Knowledge Extraction in E-Learning Videos

ERIC Educational Resources Information Center

Sood, Aparesh; Mittal, Ankush; Sarthi, Divya

2006-01-01

The existing multimedia software in E-Learning does not provide par excellence multimedia data service to the common user, hence E-Learning services are still short of intelligence and sophisticated end user tools for visualization and retrieval. An efficient approach to achieve the tasks such as, regional language narration, regional language…

Effects of Cooperative E-Learning on Learning Outcomes

ERIC Educational Resources Information Center

Yeh, Shang-Pao; Fu, Hsin-Wei

2014-01-01

This study aims to discuss the effects of E-Learning and cooperative learning on learning outcomes. E-Learning covers the dimensions of Interpersonal communication, abundant resources, Dynamic instruction, and Learning community; and, cooperative learning contains three dimensions of Cooperative motive, Social interaction, and Cognition…

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.

The Relationship between National Culture and the Usability of an E-Learning System

ERIC Educational Resources Information Center

Adeoye, Blessing; Wentling, Rose Mary

2007-01-01

The purpose of this study was to investigate possible relationships between national culture and the usability of an e-learning system. The theoretical frameworks that were used to guide this study were Hofstede's (1980) cultural dimensions, and Nielson's (1993) usability attributes. The sample for this study was composed of 24 international…

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…

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…

Context-aware recommender system based on ontology for recommending tourist destinations at Bandung

NASA Astrophysics Data System (ADS)

Rizaldy Hafid Arigi, L.; Abdurahman Baizal, Z. K.; Herdiani, Anisa

2018-03-01

Recommender System is software that is able to provide personalized recommendation suits users’ needs. Recommender System has been widely implemented in various domains, including tourism. One approach that can be done for more personalized recommendations is the use of contextual information. This paper proposes a context aware recommender based ontology system in the tourism domain. The system is capable of recommending tourist destinations by using user preferences of the categories of tourism and contextual information such as user locations, weather around tourist destinations and close time of destination. Based on the evaluation, the system has accuracy of of 0.94 (item recommendation precision evaluated by expert) and 0.58 (implicitly from system-end user interaction). Based on the evaluation of user satisfaction, the system provides a satisfaction level of more than 0.7 (scale 0 to 1) for speed factors for providing liked recommendations (PE), informative description of recommendations (INF) and user trust (TR).

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…

eLearning in the Workplace versus eLearning in Higher Education

ERIC Educational Resources Information Center

Daneshgar, Farhad; Van Toorn, Christine

2009-01-01

Great emphasis and recognition has been given to the potential of lifelong learning in the new millennium and the vast body of research on eLearning in Higher Education. However, to-date little research has been undertaken to review eLearning in the workplace. The present study aims to fill this gap to some degree by conducting a comparative…

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.

Ethics in E-Learning

ERIC Educational Resources Information Center

Bušíková, Alena; Melicheríková, Zuzana

2013-01-01

The use of information and communication technology has grown at an unprecedented rate and provides a revolutionary way of learning because specific information is easy to find on the Internet. One of the technology approaches in learning is e-learning or electronic learning. Whereas in the U.S., e-learning has become very popular in the recent…

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…

Teaching of the Society for Fetal Urology grading system for pediatric hydronephrosis is improved by e-Learning using Computer Enhanced Visual Learning (CEVL): A multi-institutional trial.

PubMed

Liu, Dennis B; Palmer, Blake; Herndon, C D Anthony; Maizels, Max

2015-08-01

It is unclear how clinicians learn to grade pediatric hydronephrosis (HN) and how effective their training has been. We sought to: 1. Assess how clinicians learn to grade HN and their confidence in their training and abilities and 2. To assess Computer Enhanced Visual Learning (CEVL) e-Learning to learn the Society for Fetal Urology (SFU) grading system for pediatric HN. A multi-institutional online survey was distributed to pediatric urologists, nephrologists, and radiologists. Respondents used a 6-point Likert scale (0 = not confident to 5 = very confident) to assess their confidence in knowledge of the criteria, indications, and ability to grade HN, and how they learned to grade. Participants assigned SFU grades to 15 neonatal ultrasounds (US). A CEVL module on the SFU grading system was accessed and a post-CEVL survey completed. Changes in confidence and accuracy of grading were compared before and after CEVL e-Learning. The most common method of learning was "casually during training" (44.5%). Significant increases in confidence in knowledge of criteria, indications, and ability to grade, as well as the accuracy of grading were seen following CEVL e-Learning (Figure A and B). Although the SFU grading system is considered the predominant grading system for HN, its application in clinical practice has been inconsistent. While this may be due to the grading system itself, it is possible that deficient training and confidence are the root causes. Our data supports this by demonstrating that most clinicians receive only casual training and accordingly, report low confidence in their knowledge and ability to grade HN. Therefore, we conclude that there exists a strong need to improve the teaching of the SFU grading system. e-Learning has been shown to be effective in teaching difficult topics and skills. We demonstrate that e-Learning with CEVL is effective in increasing both the confidence and accuracy of SFU grading of pediatric HN. Limitations of our study include

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)…

Supervised Learning for Dynamical System Learning.

PubMed

Hefny, Ahmed; Downey, Carlton; Gordon, Geoffrey J

2015-01-01

Recently there has been substantial interest in spectral methods for learning dynamical systems. These methods are popular since they often offer a good tradeoff between computational and statistical efficiency. Unfortunately, they can be difficult to use and extend in practice: e.g., they can make it difficult to incorporate prior information such as sparsity or structure. To address this problem, we present a new view of dynamical system learning: we show how to learn dynamical systems by solving a sequence of ordinary supervised learning problems, thereby allowing users to incorporate prior knowledge via standard techniques such as L 1 regularization. Many existing spectral methods are special cases of this new framework, using linear regression as the supervised learner. We demonstrate the effectiveness of our framework by showing examples where nonlinear regression or lasso let us learn better state representations than plain linear regression does; the correctness of these instances follows directly from our general analysis.

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

ERIC Educational Resources Information Center

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

2011-01-01

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

Isolation and Distinctiveness in the Design of E-Learning Systems Influence User Preferences

ERIC Educational Resources Information Center

Al-Samarraie, Hosam; Selim, Hassan; Teo, Timothy; Zaqout, Fahed

2017-01-01

When faced with excessive detail in an online environment, typical users have difficulty processing all the elements of representation. This in turn creates cognitive overload, which narrows the user's focus to a few select items. In the context of e-learning, we translated this aspect as the learner's demand for a system that facilitates the…

E-Learning in Business

ERIC Educational Resources Information Center

Schweizer, Heidi

2004-01-01

e-Learning is replacing face-to-face classroom instruction in a growing number of businesses, but what is the prospect for the continued proliferation of e-learning in business? On one hand, the quality of instruction, the cost-effectiveness of new technology, a supportive e-learning educational culture, an expansion of the Internet, an increase…

E-Learning: Is Technology the Lighthouse?

ERIC Educational Resources Information Center

Amichai-Hamburger, Yair

2009-01-01

E-learning is becoming increasingly prevalent in educational institutions throughout the world. There is a growing awareness of the need to assess the impact of this new type of learning on the educational system and on the students who participate in these programs. In May 2008, following 4 years of research, iClass held a conference to discuss…

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…

An M-Learning Content Recommendation Service by Exploiting Mobile Social Interactions

ERIC Educational Resources Information Center

Chao, Han-Chieh; Lai, Chin-Feng; Chen, Shih-Yeh; Huang, Yueh-Min

2014-01-01

With the rapid development of the Internet and the popularization of mobile devices, participating in a mobile community becomes a part of daily life. This study aims the influence impact of social interactions on mobile learning communities. With m-learning content recommendation services developed from mobile devices and mobile network…

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…

Coarse cluster enhancing collaborative recommendation for social network systems

NASA Astrophysics Data System (ADS)

Zhao, Yao-Dong; Cai, Shi-Min; Tang, Ming; Shang, Min-Sheng

2017-10-01

Traditional collaborative filtering based recommender systems for social network systems bring very high demands on time complexity due to computing similarities of all pairs of users via resource usages and annotation actions, which thus strongly suppresses recommending speed. In this paper, to overcome this drawback, we propose a novel approach, namely coarse cluster that partitions similar users and associated items at a high speed to enhance user-based collaborative filtering, and then develop a fast collaborative user model for the social tagging systems. The experimental results based on Delicious dataset show that the proposed model is able to dramatically reduce the processing time cost greater than 90 % and relatively improve the accuracy in comparison with the ordinary user-based collaborative filtering, and is robust for the initial parameter. Most importantly, the proposed model can be conveniently extended by introducing more users' information (e.g., profiles) and practically applied for the large-scale social network systems to enhance the recommending speed without accuracy loss.

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.

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…

e-Learning competency for practice nurses: an evaluation report.

PubMed

Heartfield, Marie; Morello, Andrea; Harris, Melanie; Lawn, Sharon; Pols, Vincenza; Stapleton, Carolyn; Battersby, Malcolm

2013-01-01

Practice nurses in Australia are now funded to facilitate chronic condition management, including self-management support. Chronic disease management requires an established rapport, support and proactivity between general practitioners, patients and the practice nurses. To achieve this, training in shared decision making is needed. e-Learning supports delivery and achievement of such policy outcomes, service improvements and skill development. However, e-learning effectiveness for health care professionals' is determined by several organisational, economic, pedagogical and individual factors, with positive e-learning experience linked closely to various supports. This paper reinforces previous studies showing nurses' expanding role across general practice teams and reports on some of the challenges of e-learning. Merely providing practice nurses with necessary information via web-based learning systems does not ensure successful learning or progress toward improving health outcomes for patients.

E-learning and educational diversity.

PubMed

Forman, Dawn; Nyatanga, Lovemore; Rich, Terry

2002-01-01

This article discusses the nature of electronic learning (E-learning) and argues for its centrality to educational diversity and the shift from teaching to learning. It is argued that E-learning is the new wave strategy that sits comfortably with other strategies developed for the 21st century. As such it challenges the traditional 'banking concept' of education, where the teacher is seen as the font of knowledge as long as students acknowledge this and are eager to absorb the teacher's vital knowledge. The article argues that E-learning should replace what Freire (1994) calls the backing concept of education, which is at odds with other 21st century approaches such as lifelong learning, open and flexible learning and the accreditation of prior learning (APL) to name only a few. In suggesting the shift from the traditional approach to E-learning, the article acknowledges issues of quality assurance and the need to maintain not only standards of achievements but also the comparability of those standards. Strategies for developing E-learning material and maintaining standards are discussed. McKey (2000) and Salmon's (2001) model of E-learning development and management are used to show how E-learning works in practise. The article then focuses on the role of E-learning as a catalyst for educational diversity, freedom to learn and equality of opportunity. While E-learning encourages diversity it paradoxically creates programmes that are more specifically tailored to the market needs than traditionally validated programmes. This is seen as very good in terms of addressing specific needs, for instance, specific knowledge and skills for a particular market. The learners or students in that particular market will feel that their specific needs are recognized and addressed, and will thus see the E-learning programme as having relevance for them. The article concludes by asserting that adequate resources, particularly learner support, will distinguish quality or good

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…

Comprehensive Framework for Evaluating e-Learning Systems: Using BSC Framework

ERIC Educational Resources Information Center

Momeni, Mansor; Jamporazmey, Mona; Mehrafrouz, Mohsen; Bahadori, Fatemeh

2013-01-01

The development of information and communication technology (ICT) is changing the way in which people work, communicate and learn. Recently developing and implementing e-learning solutions have increased dramatically. According to heavily investing in this area, it is essential to evaluate its different aspects and understand measures, which…

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.

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…

[Assessment of learning activities using streaming video for laboratory practice education: aiming for development of E-learning system that promotes self-learning].

PubMed

Takeda, Naohito; Takeuchi, Isao; Haruna, Mitsumasa

2007-12-01

In order to develop an e-learning system that promotes self-learning, lectures and basic operations in laboratory practice of chemistry were recorded and edited on DVD media, consisting of 8 streaming videos as learning materials. Twenty-six students wanted to watch the DVD, and answered the following questions after they had watched it: "Do you think the video would serve to encourage you to study independently in the laboratory practice?" Almost all students (95%) approved of its usefulness, and more than 60% of them watched the videos repeatedly in order to acquire deeper knowledge and skill of the experimental operations. More than 60% answered that the demonstration-experiment should be continued in the laboratory practice, in spite of distribution of the DVD media.

eLearning for health system leadership and management capacity building: a protocol for a systematic review.

PubMed

Tudor Car, Lorainne; Atun, Rifat

2017-08-21

Health leadership and management capacity are essential for health system strengthening and for attaining universal health coverage by optimising the existing human, technological and financial resources. However, in health systems, health leadership and management training is not widely available. The use of information technology for education (ie, eLearning) could help address this training gap by enabling flexible, efficient and scalable health leadership and management training. We present a protocol for a systematic review on the effectiveness of eLearning for health leadership and management capacity building in improving health system outcomes. We will follow the Cochrane Collaboration methodology. We will search for experimental studies focused on the use of any type of eLearning modality for health management and leadership capacity building in all types of health workforce cadres. The primary outcomes of interest will be health outcomes, financial risk protection and user satisfaction. In addition, secondary outcomes of interest include the attainment of health system objectives of improved equity, efficiency, effectiveness and responsiveness. We will search relevant databases of published and grey literature as well as clinical trials registries from 1990 onwards without language restrictions. Two review authors will screen references, extract data and perform risk of bias assessment independently. Contingent on the heterogeneity of the collated literature, we will perform either a meta-analysis or a narrative synthesis of the collated data. The systematic review will aim to inform policy makers, investors, health professionals, technologists and educators about the existing evidence, potential gaps in literature and the impact of eLearning for health leadership and management capacity building on health system outcomes. We will disseminate the review findings by publishing it as a peer-reviewed journal manuscript and conference abstracts. PROSPERO CRD

How to Represent Adaptation in e-Learning with IMS Learning Design

ERIC Educational Resources Information Center

Burgos, Daniel; Tattersall, Colin; Koper, Rob

2007-01-01

Adaptation in e-learning has been an important research topic for the last few decades in computer-based education. In adaptivity the behaviour of the user triggers some actions in the system that guides the learning process. In adaptability, the user makes changes and takes decisions. Progressing from computer-based training and adaptive…

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…

A Decision Fusion Framework for Treatment Recommendation Systems.

PubMed

Mei, Jing; Liu, Haifeng; Li, Xiang; Xie, Guotong; Yu, Yiqin

2015-01-01

Treatment recommendation is a nontrivial task--it requires not only domain knowledge from evidence-based medicine, but also data insights from descriptive, predictive and prescriptive analysis. A single treatment recommendation system is usually trained or modeled with a limited (size or quality) source. This paper proposes a decision fusion framework, combining both knowledge-driven and data-driven decision engines for treatment recommendation. End users (e.g. using the clinician workstation or mobile apps) could have a comprehensive view of various engines' opinions, as well as the final decision after fusion. For implementation, we leverage several well-known fusion algorithms, such as decision templates and meta classifiers (of logistic and SVM, etc.). Using an outcome-driven evaluation metric, we compare the fusion engine with base engines, and our experimental results show that decision fusion is a promising way towards a more valuable treatment recommendation.

Hybrid context aware recommender systems

NASA Astrophysics Data System (ADS)

Jain, Rajshree; Tyagi, Jaya; Singh, Sandeep Kumar; Alam, Taj

2017-10-01

Recommender systems and context awareness is currently a vital field of research. Most hybrid recommendation systems implement content based and collaborative filtering techniques whereas this work combines context and collaborative filtering. The paper presents a hybrid context aware recommender system for books and movies that gives recommendations based on the user context as well as user or item similarity. It also addresses the issue of dimensionality reduction using weighted pre filtering based on dynamically entered user context and preference of context. This unique step helps to reduce the size of dataset for collaborative filtering. Bias subtracted collaborative filtering is used so as to consider the relative rating of a particular user and not the absolute values. Cosine similarity is used as a metric to determine the similarity between users or items. The unknown ratings are calculated and evaluated using MSE (Mean Squared Error) in test and train datasets. The overall process of recommendation has helped to personalize recommendations and give more accurate results with reduced complexity in collaborative filtering.

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

Feedback Visualization in a Grammar-Based E-Learning System for German: A Preliminary User Evaluation with the COMPASS System

ERIC Educational Resources Information Center

Harbusch, Karin; Hausdörfer, Annette

2016-01-01

COMPASS is an e-learning system that can visualize grammar errors during sentence production in German as a first or second language. Via drag-and-drop dialogues, it allows users to freely select word forms from a lexicon and to combine them into phrases and sentences. The system's core component is a natural-language generator that, for every new…

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…

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

Collaboration in E-Learning: A Study Using the Flexible E-Learning Framework

ERIC Educational Resources Information Center

Vandenhouten, C.; Gallagher-Lepak, S.; Reilly, J.; Ralston-Berg, P.

2014-01-01

E-Learning remains a new frontier for many faculty. When compared to the traditional classroom, E- Learning requires the talents of many team members from a variety of departments as well as the use of different teaching and learning strategies. Pedagogy as well as team configurations must change when moving to the online environment. As a result,…

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…

Usability studies on e-learning platforms: Preliminary study in USM

NASA Astrophysics Data System (ADS)

Emang, Devinna Win Anak Boniface; Lukman, Raja Nurul Izzati Raja; Kamarulzaman, Muhammad Izzat Syafiq; Zaaba, Zarul Fitri

2017-10-01

This paper explores the end-users' experienced in regards to the usability issues in E-learning platform. An online survey utilising 116 participants were conducted to investigate the end-users understanding and satisfaction on E-learning platform in the Universiti Sains Malaysia (USM). The results indicates that mainly students still experiencing significant challenges in E-learning platform in regards to accessibility, technical terminologies and functionality. On the other hand, the 10 heuristic guideline is chosen to be a referral point to compare five E-learning platforms in order to assess each performance on regards to the usability criteria. Overall, USM E-learning platform can be considered in a good shape. However, there are more works to be done to improve the delivery system of the E-learning if it would like to sustain for a long period of time. Although the result is at the preliminary stage, it provides useful insights to improve the E-learning platform as one of the most popular education platform in Malaysia.

Ubiquitous Multicriteria Clinic Recommendation System.

PubMed

Chen, Toly

2016-05-01

Advancements in information, communication, and sensor technologies have led to new opportunities in medical care and education. Patients in general prefer visiting the nearest clinic, attempt to avoid waiting for treatment, and have unequal preferences for different clinics and doctors. Therefore, to enable patients to compare multiple clinics, this study proposes a ubiquitous multicriteria clinic recommendation system. In this system, patients can send requests through their cell phones to the system server to obtain a clinic recommendation. Once the patient sends this information to the system, the system server first estimates the patient's speed according to the detection results of a global positioning system. It then applies a fuzzy integer nonlinear programming-ordered weighted average approach to assess four criteria and finally recommends a clinic with maximal utility to the patient. The proposed methodology was tested in a field experiment, and the experimental results showed that it is advantageous over two existing methods in elevating the utilities of recommendations. In addition, such an advantage was shown to be statistically significant.

Developing Interactive E-Learning Activities

ERIC Educational Resources Information Center

Watkins, Ryan

2005-01-01

Although e-learning can offer interactive and engaging learning experiences, the creative ideas that are necessary to create such environments are not always easy to come up with when designing, developing, or teaching e-learning courses. E-learning activities use online technologies such as chat rooms, discussion boards, or email to facilitate…

Quality of e-Learning: An Analysis Based on e-Learners' Perception of e-Learning

ERIC Educational Resources Information Center

Elango, Rengasamy; Gudep, Vijaya Kumar; Selvam, M.

2008-01-01

e-Learning, of late, has been witnessing an unprecedented expansion as an opportunity for higher education. This expanding alternative mode calls for ensuring and imparting a sound and qualitative education. The present study made an attempt to investigate the issues related to the quality dimensions of e-learning. Our results revealed the…

E-Learning Systems Requirements Elicitation: Perspectives and Considerations

ERIC Educational Resources Information Center

AlKhuder, Shaikha B.; AlAli, Fatma H.

2017-01-01

Training and education have evolved far beyond black boards and chalk boxes. The environment of knowledge exchange requires more than simple materials and assessments. This article is an attempt of parsing through the different aspects of e-learning, understanding the real needs, and conducting the right requirements to build the appropriate…

The Virtual Health University: An eLearning Model within the Cuban Health System.

PubMed

Jardines, José B

2008-01-01

This paper describes Cuba's experience with the Virtual Health University (VHU) as a strategic project of INFOMED, promoting creation of an open teaching-learning environment for health sciences education, through intensive and creative use of Information and Communication Technologies (ICTs) and a network approach to learning. An analysis of the VHU's main antecedents in its different stages of development provides insight into the strategic reasons that led to the establishment of a virtual university in the national health system during Cuba's so-called Special Period of economic crisis. Using the general objectives of creating, sharing, and collaborating which define the VHU's conceptual-operative framework, the three essential components (subsystems) are described: pedagogical, technological, and managerial, as well as the operative stages of educational design, technological implementation, and teaching-administrative management system. Each component of the model is analyzed in the context of global, modern university trends, towards integration of the face-to-face and distance education approaches and the creation of virtual institutions that assume the technological and pedagogical changes demanded by eLearning.

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…

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.

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.

Uncovering the information core in recommender systems

NASA Astrophysics Data System (ADS)

Zeng, Wei; Zeng, An; Liu, Hao; Shang, Ming-Sheng; Zhou, Tao

2014-08-01

With the rapid growth of the Internet and overwhelming amount of information that people are confronted with, recommender systems have been developed to effectively support users' decision-making process in online systems. So far, much attention has been paid to designing new recommendation algorithms and improving existent ones. However, few works considered the different contributions from different users to the performance of a recommender system. Such studies can help us improve the recommendation efficiency by excluding irrelevant users. In this paper, we argue that in each online system there exists a group of core users who carry most of the information for recommendation. With them, the recommender systems can already generate satisfactory recommendation. Our core user extraction method enables the recommender systems to achieve 90% of the accuracy of the top-L recommendation by taking only 20% of the users into account. A detailed investigation reveals that these core users are not necessarily the large-degree users. Moreover, they tend to select high quality objects and their selections are well diversified.

The Future of E-Learning

ERIC Educational Resources Information Center

Clarke, Alan

2007-01-01

In this article, the author reflects on the potential benefits of e-learning. E-learning is not a single strand but is multifaceted, covering a wide range of approaches and methods. One major but general benefit is that learning with technology can be motivating. E-learning has the potential to motivate, develop confidence and self-esteem,…

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

Measuring the Usability of Augmented Reality e-Learning Systems: A User-Centered Evaluation Approach

NASA Astrophysics Data System (ADS)

Pribeanu, Costin; Balog, Alexandru; Iordache, Dragoş Daniel

The development of Augmented Reality (AR) systems is creating new challenges and opportunities for the designers of e-learning systems. The mix of real and virtual requires appropriate interaction techniques that have to be evaluated with users in order to avoid usability problems. Formative usability aims at finding usability problems as early as possible in the development life cycle and is suitable to support the development of such novel interactive systems. This work presents an approach to the user-centered usability evaluation of an e-learning scenario for Biology developed on an Augmented Reality educational platform. The evaluation has been carried on during and after a summer school held within the ARiSE research project. The basic idea was to perform usability evaluation twice. In this respect, we conducted user testing with a small number of students during the summer school in order to get a fast feedback from users having good knowledge in Biology. Then, we repeated the user testing in different conditions and with a relatively larger number of representative users. In this paper we describe both experiments and compare the usability evaluation results.

The E-Learning Setting Circle: First Steps toward Theory Development in E-Learning Research

ERIC Educational Resources Information Center

Rüth, Marco; Kaspar, Kai

2017-01-01

E-learning projects and related research generate an increasing amount of evidence within and across various disciplines and contexts. The field is very heterogeneous as e-learning approaches are often characterized by rather unique combinations of situational factors that guide the design and realization of e-learning in a bottom-up fashion.…

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…

E-Learning in postsecondary education.

PubMed

Bell, Bradford S; Federman, Jessica E

2013-01-01

Over the past decade postsecondary education has been moving increasingly from the classroom to online. During the fall 2010 term 31 percent of U.S. college students took at least one online course. The primary reasons for the growth of e-learning in the nation's colleges and universities include the desire of those institutions to generate new revenue streams, improve access, and offer students greater scheduling flexibility. Yet the growth of e-learning has been accompanied by a continuing debate about its effectiveness and by the recognition that a number of barriers impede its widespread adoption in higher education. Through an extensive research review, Bradford Bell and Jessica Federman examine three key issues in the growing use of e-learning in postsecondary education. The first is whether e-learning is as effective as other delivery methods. The debate about the effectiveness of e-learning, the authors say, has been framed in terms of how it compares with other means of delivering instruction, most often traditional instructor-led classroom instruction. Bell and Federman review a number of meta-analyses and other studies that, taken together, show that e-learning produces outcomes equivalent to other delivery media when instructional conditions are held constant. The second issue is what particular features of e-learning influence its effectiveness. Here the authors move beyond the "does it work" question to examine how different instructional features and supports, such as immersion and interactivity, influence the effectiveness of e-learning programs. They review research that shows how these features can be configured to create e-learning programs that help different types of learners acquire different types of knowledge. In addressing the third issue--the barriers to the adoption of e-learning in postsecondary education--Bell and Federman discuss how concerns about fraud and cheating, uncertainties about the cost of e-learning, and the unique

Using Mixed-Modality Learning Strategies via e-Learning for Second Language Vocabulary Acquisition

ERIC Educational Resources Information Center

Yang, Fang-Chuan Ou; Wu, Wen-Chi Vivian

2015-01-01

This study demonstrated an e-learning system, MyEVA, based on a mixed-modality vocabulary strategy in assisting learners of English as a second language (L2 learners) to improve their vocabulary. To explore the learning effectiveness of MyEVA, the study compared four vocabulary-learning techniques, MyEVA in preference mode, MyEVA in basic mode, an…

eHealth in Saudi Arabia: Current Trends, Challenges and Recommendations.

PubMed

Alsulame, Khaled; Khalifa, Mohamed; Househ, Mowafa

2015-01-01

The purpose of this study is to explore the current status of eHealth in Saudi Arabia from the perspective of health informatics professionals. We used a case study approach and analyzed participant data using thematic analysis. The study took place between July and August 2013. Data collection included interviews with nine senior health information professionals in Saudi Arabia. The findings describe participant views on current eHealth trends in Saudi Arabia and show differences among Saudi healthcare organizations in terms of eHealth adoption. Participants also describe the challenges relating to organizational and cultural issues, end user attitudes towards eHealth projects, and the lack of specialized human resources to implement eHealth systems. Two main recommendations made by the participants were to form a new national body for eHealth and to develop a unified plan for the implementation of Saudi eHealth initiatives.

The virtual asthma guideline e-learning program: learning effectiveness and user satisfaction.

PubMed

Kang, Sung-Yoon; Kim, Sae-Hoon; Kwon, Yong-Eun; Kim, Tae-Bum; Park, Hye-Kyung; Park, Heung-Woo; Chang, Yoon-Seok; Jee, Young-Koo; Moon, Hee-Bom; Min, Kyung-Up; Cho, Sang-Heon

2018-05-01

Effective educational tools are important for increasing adherence to asthma guidelines and clinical improvement of asthma patients. We developed a computer-based interactive education program for asthma guideline named the Virtual Learning Center for Asthma Management (VLCAM). We evaluated the usefulness of program in terms of its effects on user awareness of asthma guideline and level of satisfaction. Physicians-in-training at tertiary hospitals in Korea were enrolled in a cross-sectional questionnaire survey. The e-learning program on asthma guideline was conducted over a 2-week period. We investigated changes in the awareness of asthma guideline using 35-item self-administered questionnaire aiming at assessing physicians' knowledge, attitude, and practice. Satisfaction with the program was scored on 4-point Likert scales. A total of 158 physicians-in-training at six tertiary hospitals completed the survey. Compared with baseline, the overall awareness obtained from the scores of knowledge, attitude, and practice was improved significantly. Participants were satisfied with the VLCAM program in the following aspects: helpfulness, convenience, motivation, effectiveness, physicians' confidence, improvement of asthma management, and willingness to recommend. All items in user satisfaction questionnaires received high scores over 3 points. Moreover, the problem-based learning with a virtual patient received the highest user satisfaction among all parts of the program. Our computer-based e-learning program is useful for improving awareness of asthma management. It could improve adherence to asthma guidelines and enhance the quality of asthma care.

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…

A Comparative Study of E-Learning System for Smart Education

ERIC Educational Resources Information Center

An, SangJin; Lee, Eunkyoung; Lee, YoungJun

2013-01-01

Korean government aims to implement SMART education nationwide, so it is planning many ways to provide digital learning contents. There are some ways of distributing digital contents, and each way has its own characteristics. Edunet is a nationwide system for providing educational resource. Cyber Home Learning System is a regional service which…

School-community learning partnerships for sustainability: Recommended best practice and reality

NASA Astrophysics Data System (ADS)

Wheeler, Leone; Guevara, Jose Roberto; Smith, Jodi-Anne

2018-05-01

Effective partnerships across different stakeholders are essential to the collaboration required for learning cities to contribute to sustainable development. Through partnerships, formal educational institutions, such as schools and universities, play a vital role in establishing and sustaining learning cities, often by facilitating the meaningful participation of different local community members. The research presented in this article examines the characteristics of effective school-community partnerships in the literature and compares it to the results of a three-year research study which examined 16 case studies of school-community partnerships in the state of Victoria in Australia. Using participatory action research, the researchers identified four approaches to implementing partnerships for sustainability, explored challenges to achieving an idealised partnership, and made recommendations for establishing successful partnership networks. The researchers propose that partnerships be viewed as a dynamic resource rather than merely a transactional arrangement that addresses the identified challenges of time, funding, skills and personnel. Furthermore, the use of "partnership brokers", such as local government or non-government organisations, is recommended to expand the current school-centred approach to partnerships. These insights aim to contribute to providing quality education and lifelong learning through partnerships - outcomes crucial for establishing and sustaining learning cities.

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.

Globalized E-Learning Cultural Challenges

ERIC Educational Resources Information Center

Edmundson, Andrea, Ed.

2007-01-01

"Globalized E-Learning Cultural Challenges" explores the issues educators, administrators, and instructional designers face when transferring knowledge and skills to other cultures through e-learning. Most e-learning courses have been designed in Western cultures, but the largest and fastest-growing consumer groups live in Eastern…

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…

E-Learning in Malaysia: Moving forward in Open Distance Learning

ERIC Educational Resources Information Center

Abas, Zoraini Wati

2009-01-01

Many higher education institutions have embarked on e-learning as a means to support their learning and teaching activities. In distance learning institutions, e-learning has enabled them to reach out to students dispersed over a wide geographical area, locally and internationally. In some countries, e-learning has also given students the…

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…

D.E.E.P. Learning: Promoting Informal STEM Learning through a Popular Gaming Platform

NASA Astrophysics Data System (ADS)

Simms, E.; Rohrlick, D.; Layman, C.; Peach, C. L.; Orcutt, J. A.

2011-12-01

The research and development of educational games, and the study of the educational value of interactive games in general, have lagged far behind efforts for games created for the purpose of entertainment. But evidence suggests that digital simulations and games have the "potential to advance multiple science learning goals, including motivation to learn science, conceptual understanding, science process skills, understanding of the nature of science, scientific discourse and argumentation, and identification with science and science learning." (NRC, 2011). It is also generally recognized that interactive digital games have the potential to promote the development of valuable learning and life skills, including data processing, decision-making, critical thinking, planning, communication and collaboration (Kirriemuir and MacFarlane, 2006). Video games are now played in 67% of American households (ESA, 2010), and across a broad range of ages, making them a potentially valuable tool for Science, Technology, Engineering and Mathematics (STEM) learning among the diverse audiences associated with informal science education institutions (ISEIs; e.g., aquariums, museums, science centers). We are attempting to capitalize on this potential by developing games based on the popular Microsoft Xbox360 gaming platform and the free Microsoft XNA game development kit. The games, collectively known as Deep-sea Extreme Environment Pilot (D.E.E.P.), engage ISEI visitors in the exploration and understanding of the otherwise remote deep-sea environment. Players assume the role of piloting a remotely-operated vehicle (ROV) to explore ocean observing systems and hydrothermal vent environments, and are challenged to complete science-based objectives in order to earn points under timed conditions. The current games are intended to be relatively brief visitor experiences (on the order of several minutes) that support complementary exhibits and programming, and promote interactive visitor

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…

E2E: A Summary of the e2e Learning Framework.

ERIC Educational Resources Information Center

Learning and Skills Development Agency, London (England).

This publication is a summary of the E2E (Entry to Employment) Learning Framework that provides guidance on program implementation. (E2E is a new learning program for young people not yet ready or able to enter Modern Apprenticeship programs, a Level 2 program, or employment directly.) Section 2 highlights core values to which all involved should…

Evidence for E-Learning Policy

ERIC Educational Resources Information Center

Pittard, Vanessa

2004-01-01

E-learning is becoming an increasingly mainstream feature of educational delivery. The launch of a national e-learning strategy in England signals the Government's commitment to maximising the potential benefits of investment in information and communications technology (ICT). The vision for e-learning set out in this strategy is ambitious. At…

Addressing Cognitive Processes in e-learning: TSOI Hybrid Learning Model

ERIC Educational Resources Information Center

Tsoi, Mun Fie; Goh, Ngoh Khang

2008-01-01

The development of e-learning materials for teaching and learning often needs to be guided by appropriate educational theories or models. As such, this paper provides alternative e-learning design pedagogy, the TSOI Hybrid Learning Model as a pedagogic model for the design of e-learning cognitively in science and chemistry education. This model is…

Health Recommender Systems: Concepts, Requirements, Technical Basics and Challenges

PubMed Central

Wiesner, Martin; Pfeifer, Daniel

2014-01-01

During the last decades huge amounts of data have been collected in clinical databases representing patients' health states (e.g., as laboratory results, treatment plans, medical reports). Hence, digital information available for patient-oriented decision making has increased drastically but is often scattered across different sites. As as solution, personal health record systems (PHRS) are meant to centralize an individual's health data and to allow access for the owner as well as for authorized health professionals. Yet, expert-oriented language, complex interrelations of medical facts and information overload in general pose major obstacles for patients to understand their own record and to draw adequate conclusions. In this context, recommender systems may supply patients with additional laymen-friendly information helping to better comprehend their health status as represented by their record. However, such systems must be adapted to cope with the specific requirements in the health domain in order to deliver highly relevant information for patients. They are referred to as health recommender systems (HRS). In this article we give an introduction to health recommender systems and explain why they are a useful enhancement to PHR solutions. Basic concepts and scenarios are discussed and a first implementation is presented. In addition, we outline an evaluation approach for such a system, which is supported by medical experts. The construction of a test collection for case-related recommendations is described. Finally, challenges and open issues are discussed. PMID:24595212

[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.

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.

Content Classification and Context-Based Retrieval System for E-Learning

ERIC Educational Resources Information Center

Mittal, Ankush; Krishnan, Pagalthivarthi V.; Altman, Edward

2006-01-01

A recent focus in web based learning systems has been the development of reusable learning materials that can be delivered as personalized courses depending of a number of factors such as the user's background, his/her learning preferences, current knowledge based on previous assessments, or previous browsing patterns. The student is often…

Assessing students' readiness towards e-learning

NASA Astrophysics Data System (ADS)

Rahim, Nasrudin Md; Yusoff, Siti Hawa Mohd; Latif, Shahida Abd

2014-07-01

The usage of e-Learning methodology has become a new attraction for potential students as shown by some higher learning institutions in Malaysia. As such, Universiti Selangor (Unisel) should be ready to embark on e-Learning teaching and learning in the near future. The purpose of the study is to gauge the readiness of Unisel's students in e-Learning environment. A sample of 110 students was chosen to participate in this study which was conducted in January 2013. This sample consisted of students from various levels of study that are foundation, diploma and degree program. Using a structured questionnaire, respondents were assessed on their basic Internet skills, access to technology required for e-Learning and their attitude towards characteristics of successful e-Learning student based on study habits, abilities, motivation and time management behaviour. The result showed that respondents did have access to technology that are required for e-Learning environment, and respondents were knowledgeable regarding the basic Internet skills. The finding also showed that respondents' attitude did meet all characteristics of successful e-Learning student. Further analysis showed that there is no significant relationshipeither among gender, level of study or faculty with those characteristics. As a conclusion, the study shows that current Unisel's students are ready to participate in e-Learning environment if the institution decided to embark on e-Learning methodology.

Empowering Personalized Learning with an Interactive E-Book Learning System for Elementary School Students

ERIC Educational Resources Information Center

Huang, Yueh-Min; Liang, Tsung-Ho; Su, Yen-Ning; Chen, Nian-Shing

2012-01-01

Today various types of tablet computers are used, including iPad and Android Tablets. These individual portable digital devices can be used as e-book readers to support mobile personalized learning. Though many studies have investigated e-books by targeting undergraduate students, yet less attention has been paid to children. Therefore, an…

Heuristic Evaluation of E-Learning Courses: A Comparative Analysis of Two E-Learning Heuristic Sets

ERIC Educational Resources Information Center

Zaharias, Panagiotis; Koutsabasis, Panayiotis

2012-01-01

Purpose: The purpose of this paper is to discuss heuristic evaluation as a method for evaluating e-learning courses and applications and more specifically to investigate the applicability and empirical use of two customized e-learning heuristic protocols. Design/methodology/approach: Two representative e-learning heuristic protocols were chosen…

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…

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…

Experiences with E-learning in Ophthalmology

PubMed Central

Bandhu, Seema Dutt; Raje, Swati

2014-01-01

Introduction: E-learning is the use of internet for the purpose of education. E-learning in medical education is at a nascent stage in our country. The present study was carried out with the purpose of introducing e-learning to third year medical students in the subject of Ophthalmology and taking feedback on their attitude towards the new methodology of teaching and evaluating. Materials and Methods: E-learning was introduced to the seventh semester students of MBBS in the subject of Ophthalmology. The topics were converted to web friendly format and used for teaching and evaluating. Feedback was taken from the students on completion of the term on their attitudes towards e-learning and their views on the scope of e-learning in medical education. Results: All the students agreed on the usefulness of e-learning in medical education. Eleven students (27.5%) found the medium of e-learning to be interesting, 15 (37.5%) considered it to be easy and accessible, 10 (25%) found it to be fast and easy, 4 (10%) considered it to be a medium which can give updated information. Twenty-three (57.5%) students considered that e-learning should be a medium of instruction in all the subjects, 15 (37.5%) students considered its usefulness in clinical subjects only. Twenty-eight students (70%) desired that e-learning should be used to provide important notes, questions, MCQs on all topics. Conclusions: E-learning is well accepted as a medium of instruction by medical students. PMID:25116772

Academic perceptions amongst educators towards eLearning tools in dental education.

PubMed

Handal, Boris; Groenlund, Catherine; Gerzina, Tania

2011-04-01

This paper reports an explorative study about academic educators' perceptions towards learning management systems (LMS) and eLearning tools as used in dental education. Fifty-five educators participated in an online survey which explored their views on eLearning tools within the context of their own professional training background and teaching needs. In general, educators felt that the eLearning LMS (also known as WebCT/Blackboard) was a tool that suited their teaching and learning needs in terms of flexibility, interactivity and accessibility despite a significant level of self-reported lack of competence in the technology. The paper describes current eLearning professional development initiatives in light of these findings. © 2011 FDI World Dental Federation.

E-Learning Instructional Design and the Mismatch between E-Learners and E-Educators' Learning Styles

ERIC Educational Resources Information Center

Hassanein, Osama Hassanein Sayed

2015-01-01

The present study attempted to identify the preferred learning styles of non-Arabic speaking EFL faculties hired to teach at the Saudi universities and those of Saudi EFL university students towards learning English and to use learning styles data to inform e-learning design for Saudi EFL university students. The study used a mixed-methods design…

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

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…

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…

What Drives Nurses' Blended e-Learning Continuance Intention?

ERIC Educational Resources Information Center

Cheng, Yung-Ming

2014-01-01

This study's purpose was to synthesize the user network (including subjective norm and network externality), task-technology fit (TTF), and expectation-confirmation model (ECM) to explain nurses' intention to continue using the blended electronic learning (e-learning) system within medical institutions. A total of 450 questionnaires were…

Mobile e-Learning for Next Generation Communication Environment

ERIC Educational Resources Information Center

Wu, Tin-Yu; Chao, Han-Chieh

2008-01-01

This article develops an environment for mobile e-learning that includes an interactive course, virtual online labs, an interactive online test, and lab-exercise training platform on the fourth generation mobile communication system. The Next Generation Learning Environment (NeGL) promotes the term "knowledge economy." Inter-networking…

Recent developments in affective recommender systems

NASA Astrophysics Data System (ADS)

Katarya, Rahul; Verma, Om Prakash

2016-11-01

Recommender systems (RSs) are playing a significant role since 1990s as they provide relevant, personalized information to the users over the internet. Lots of work have been done in information filtering, utilization, and application related to RS. However, an important area recently draws our attention which is affective recommender system. Affective recommender system (ARS) is latest trending area of research, as publication in this domain are few and recently published. ARS is associated with human behaviour, human factors, mood, senses, emotions, facial expressions, body gesture and physiological with human-computer interaction (HCI). Due to this assortment and various interests, more explanation is required, as it is in premature phase and growing as compared to other fields. So we have done literature review (LR) in the affective recommender systems by doing classification, incorporate reputed articles published from the year 2003 to February 2016. We include articles which highlight, analyse, and perform a study on affective recommender systems. This article categorizes, synthesizes, and discusses the research and development in ARS. We have classified and managed ARS papers according to different perspectives: research gaps, nature, algorithm or method adopted, datasets, the platform on executed, types of information and evaluation techniques applied. The researchers and professionals will positively support this survey article for understanding the current position, research in affective recommender systems and will guide future trends, opportunity and research focus in ARS.

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

Online Learning: E-Learning Fast, Cheap, and Good

ERIC Educational Resources Information Center

Piskurich, George M.

2006-01-01

There is a variation of e-learning, used mainly in academic settings, that can be a valuable intervention tool for the performance technologist. It is often referred to as online learning. In the performance improvement field, this term is often used interchangeably with synchronous e-learning, but there are some major differences between these…

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.

Personalized Recommender System for Digital Libraries

ERIC Educational Resources Information Center

Omisore, M. O.; Samuel, O. W.

2014-01-01

The huge amount of information available online has given rise to personalization and filtering systems. Recommender systems (RS) constitute a specific type of information filtering technique that present items according to user's interests. In this research, a web-based personalized recommender system capable of providing learners with books that…

The feasibility of e-learning as a quality improvement tool.

PubMed

Kobewka, Daniel; Backman, Chantal; Hendry, Paul; Hamstra, Stanley J; Suh, Kathryn N; Code, Catherine; Forster, Alan J

2014-10-01

Many quality problems exist in health care. We aim to investigate the feasibility and acceptability of using e-learning (defined as computer-based learning modules) to address gaps in quality of care. We performed a qualitative evaluation of participants in a pilot e-learning program. Physician members of six medical teaching units (MTUs) at a multi-site tertiary care teaching hospital were asked to complete two e-learning modules addressing hand hygiene practices and management of community-acquired pneumonia (CAP). An e-learning design team created online modules that were made available to members of the six MTUs for 4 weeks using a password secured website. Use of the modules was voluntary. Participants' perceptions of module content, mode of delivery, and suggestions for improvement were determined through focus groups. We then performed content analysis on the transcripts. We used system data to define patterns of module access. Out of 55 eligible users, 30 (55%) logged onto the system at least once. Residents (14/30, 47%) were less likely to use the system than medical students (9/14, 64%) and attending staff (7/11, 64%). Learners at all levels thought the modules were easy to use. Participants liked the knowledge-based material in the CAP module because it directly applied to their work. There were less favourable opinions of the hand hygiene module Generating e-learning modules targeted at gaps in quality of care is feasible and acceptable to learners. Future studies should assess whether these approaches lead to desired changes in behavior. © 2014 John Wiley & Sons, Ltd.

Hot news recommendation system from heterogeneous websites based on bayesian model.

PubMed

Xia, Zhengyou; Xu, Shengwu; Liu, Ningzhong; Zhao, Zhengkang

2014-01-01

The most current news recommendations are suitable for news which comes from a single news website, not for news from different heterogeneous news websites. Previous researches about news recommender systems based on different strategies have been proposed to provide news personalization services for online news readers. However, little research work has been reported on utilizing hundreds of heterogeneous news websites to provide top hot news services for group customers (e.g., government staffs). In this paper, we propose a hot news recommendation model based on Bayesian model, which is from hundreds of different news websites. In the model, we determine whether the news is hot news by calculating the joint probability of the news. We evaluate and compare our proposed recommendation model with the results of human experts on the real data sets. Experimental results demonstrate the reliability and effectiveness of our method. We also implement this model in hot news recommendation system of Hangzhou city government in year 2013, which achieves very good results.

Hot News Recommendation System from Heterogeneous Websites Based on Bayesian Model

PubMed Central

Xia, Zhengyou; Xu, Shengwu; Liu, Ningzhong; Zhao, Zhengkang

2014-01-01

The most current news recommendations are suitable for news which comes from a single news website, not for news from different heterogeneous news websites. Previous researches about news recommender systems based on different strategies have been proposed to provide news personalization services for online news readers. However, little research work has been reported on utilizing hundreds of heterogeneous news websites to provide top hot news services for group customers (e.g., government staffs). In this paper, we propose a hot news recommendation model based on Bayesian model, which is from hundreds of different news websites. In the model, we determine whether the news is hot news by calculating the joint probability of the news. We evaluate and compare our proposed recommendation model with the results of human experts on the real data sets. Experimental results demonstrate the reliability and effectiveness of our method. We also implement this model in hot news recommendation system of Hangzhou city government in year 2013, which achieves very good results. PMID:25093207

Analysis and Visualization of Relations in eLearning

NASA Astrophysics Data System (ADS)

Dráždilová, Pavla; Obadi, Gamila; Slaninová, Kateřina; Martinovič, Jan; Snášel, Václav

The popularity of eLearning systems is growing rapidly; this growth is enabled by the consecutive development in Internet and multimedia technologies. Web-based education became wide spread in the past few years. Various types of learning management systems facilitate development of Web-based courses. Users of these courses form social networks through the different activities performed by them. This chapter focuses on searching the latent social networks in eLearning systems data. These data consist of students activity records wherein latent ties among actors are embedded. The social network studied in this chapter is represented by groups of students who have similar contacts and interact in similar social circles. Different methods of data clustering analysis can be applied to these groups, and the findings show the existence of latent ties among the group members. The second part of this chapter focuses on social network visualization. Graphical representation of social network can describe its structure very efficiently. It can enable social network analysts to determine the network degree of connectivity. Analysts can easily determine individuals with a small or large amount of relationships as well as the amount of independent groups in a given network. When applied to the field of eLearning, data visualization simplifies the process of monitoring the study activities of individuals or groups, as well as the planning of educational curriculum, the evaluation of study processes, etc.

Rationale, Design and Implementation of a Computer Vision-Based Interactive E-Learning System

ERIC Educational Resources Information Center

Xu, Richard Y. D.; Jin, Jesse S.

2007-01-01

This article presents a schematic application of computer vision technologies to e-learning that is synchronous, peer-to-peer-based, and supports an instructor's interaction with non-computer teaching equipments. The article first discusses the importance of these focused e-learning areas, where the properties include accurate bidirectional…

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…

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

ERIC Educational Resources Information Center

Hodges, Allison

2009-01-01

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

A Quality Framework for Continuous Improvement of e-Learning: The e-Learning Maturity Model

ERIC Educational Resources Information Center

Marshall, Stephen

2010-01-01

The E-Learning Maturity Model (eMM) is a quality improvement framework designed to help institutional leaders assess their institution's e-learning maturity. This paper reviews the eMM, drawing on examples of assessments conducted in New Zealand, Australia, the UK and the USA to show how it helps institutional leaders assess and compare their…

eLearning--Theories, Design, Software and Applications

ERIC Educational Resources Information Center

Ghislandi, Patrizia, Ed.

2012-01-01

Chapters in this book include: (1) New e-Learning Environments: e-Merging Networks in the Relational Society (Blanca C. Garcia); (2) Knowledge Building in E-Learning (Xinyu Zhang and Lu Yuhao); (3) E-Learning and Desired Learning Outcomes (Ralph Palliam); (4) Innovative E-Learning Solutions and Environments for Small and Medium Sized Companies…

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.

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.

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…

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…

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…

[Acceptance of case-based, interactive e-learning in veterinary medicine on the example of the CASUS system].

PubMed

Börchers, M; Tipold, A; Pfarrer, Ch; Fischer, M R; Ehlers, J P

2010-01-01

New teaching methods such as e-learning, are increasingly used to support common methods such as lectures, seminars and practical training in universities providing education in veterinary medicine. In the current study, the acceptance of e-learning in the example of the CASUS system by veterinarians as well as students of veterinary medicine of all German-speaking universities was analyzed. Material und methods: For this purpose an online evaluation questionnaire was developed. Members of the target groups were informed by e-mail and references in professional journals, as well as through veterinarian exchange platforms on the internet. Additionally, 224 students' final anatomy marks were compared and correlated to the utilization of CASUS to gain an important insight for the development of new teaching practices in the teaching of veterinary medicine. In total 1581 questionnaires were evaluated. A good acceptance regarding new teaching practices was found, although the classical textbook is still the most important instrument for imparting knowledge. The degree of utilization of e-learning strongly depends on its integration into the teaching content. CASUS is regarded as an efficient teaching method, with over 90% of the respondents indicating a strong desire to expand the number of case studies. Due to the present low degree of integration into the teaching content, no significant correlation could be found between the utilization of anatomy case studies and the final anatomy mark. However, based on their subjective perception, the students reported a high level of success in their study results with the likely effect of supporting increasing self-assurance in the situation of examinations. With the help of e-learning, educational objectives can be achieved that are not attainable by traditional teaching methods, e.g. the review of individual improvements by using the integrated feedback-function of e-learning programs. However, e-learning is not able to

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.

Semantic Modelling for Learning Styles and Learning Material in an E-Learning Environment

ERIC Educational Resources Information Center

Alhasan, Khawla; Chen, Liming; Chen, Feng

2017-01-01

Various learners with various requirements have led to the raise of a crucial concern in the area of e-learning. A new technology for propagating learning to learners worldwide, has led to an evolution in the e-learning industry that takes into account all the requirements of the learning process. In spite of the wide growing, the e-learning…

E-learning in Saudi Arabia: 'To E or not to E, that is the question'.

PubMed

Al-Shehri, Ali M

2010-09-01

The Kingdom of Saudi Arabia (KSA) has witnessed unprecedented growth in higher education and E-learning in recent times. In the last five years, one university and five colleges have been commissioned every month; 800 scholarships have been awarded every month for overseas study; a national center for E-learning has been established; and E-units or departments have been set-up in almost every university. E-learning has become important for discussion to quote Shakespeare 'To E or not to E that is the question.' To examine current and future developments and challenges of E-learning in KSA. A qualitative approach was used to explore views of 30 senior academicians involved in E-learning during their attendance at a two-week course on the subject. All participants considered themselves as decision makers on E-learning in their units or departments. They felt that E-learning had come to stay, but acknowledged challenges in respect of resources, organization, management, and information technology. The fast development of E-learning poses many challenges. Clear vision and strategic planning with prospective E-learners in mind are essential to make E-learning programs cost effective.

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.

Study on a High Compression Processing for Video-on-Demand e-learning System

NASA Astrophysics Data System (ADS)

Nomura, Yoshihiko; Matsuda, Ryutaro; Sakamoto, Ryota; Sugiura, Tokuhiro; Matsui, Hirokazu; Kato, Norihiko

The authors proposed a high-quality and small-capacity lecture-video-file creating system for distance e-learning system. Examining the feature of the lecturing scene, the authors ingeniously employ two kinds of image-capturing equipment having complementary characteristics : one is a digital video camera with a low resolution and a high frame rate, and the other is a digital still camera with a high resolution and a very low frame rate. By managing the two kinds of image-capturing equipment, and by integrating them with image processing, we can produce course materials with the greatly reduced file capacity : the course materials satisfy the requirements both for the temporal resolution to see the lecturer's point-indicating actions and for the high spatial resolution to read the small written letters. As a result of a comparative experiment, the e-lecture using the proposed system was confirmed to be more effective than an ordinary lecture from the viewpoint of educational effect.

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…

E-Learning and Technologies for Open Distance Learning in Management Accounting

ERIC Educational Resources Information Center

Kashora, Trust; van der Poll, Huibrecht M.; van der Poll, John A.

2016-01-01

This research develops a knowledge acquisition and construction framework for e-learning for Management Accounting students at the University of South Africa, an Open Distance Learning institution which utilises e-learning. E-learning refers to the use of electronic applications and processes for learning, including the transfer of skills and…

Quality evaluation on an e-learning system in continuing professional education of nurses.

PubMed

Lin, I-Chun; Chien, Yu-Mei; Chang, I-Chiu

2006-01-01

Maintaining high quality in Web-based learning is a powerful means of increasing the overall efficiency and effectiveness of distance learning. Many studies have evaluated Web-based learning but seldom evaluate from the information systems (IS) perspective. This study applied the famous IS Success model in measuring the quality of a Web-based learning system using a Web-based questionnaire for data collection. One hundred and fifty four nurses participated in the survey. Based on confirmatory factor analysis, the variables of the research model fit for measuring the quality of a Web-based learning system. As Web-based education continues to grow worldwide, the results of this study may assist the system adopter (hospital executives), the learner (nurses), and the system designers in making reasonable and informed judgments with regard to the quality of Web-based learning system in continuing professional education.

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.…

Model Based Usability Heuristics for Constructivist E-Learning

ERIC Educational Resources Information Center

Katre, Dinesh S.

2007-01-01

Many e-learning applications and games have been studied to identify the common interaction models of constructivist learning, namely: 1. Move the object to appropriate location; 2. Place objects in appropriate order and location(s); 3. Click to identify; 4. Change the variable factors to observe the effects; and 5. System personification and…

An Ontology Infrastructure for an E-Learning Scenario

ERIC Educational Resources Information Center

Guo, Wen-Ying; Chen, De-Ren

2007-01-01

Selecting appropriate learning services for a learner from a large number of heterogeneous knowledge sources is a complex and challenging task. This article illustrates and discusses how Semantic Web technologies such as RDF [resource description framework] and ontology can be applied to e-learning systems to help the learner in selecting an…

An e-learning course in medical immunology: does it improve learning outcome?

PubMed

Boye, Sondre; Moen, Torolf; Vik, Torstein

2012-01-01

E-learning is used by most medical students almost daily and several studies have shown e-learning to improve learning outcome in small-scale interventions. However, few studies have explored the effects of e-learning in immunology. To study the effect of an e-learning package in immunology on learning outcomes in a written integrated examination and to examine student satisfaction with the e-learning package. All second-year students at a Norwegian medical school were offered an animated e-learning package in basic immunology as a supplement to the regular teaching. Each student's log-on-time was recorded and linked with the student's score on multiple choice questions included in an integrated end-of-the-year written examination. Student satisfaction was assessed through a questionnaire. The intermediate-range students (interquartile range) on average scored 3.6% better on the immunology part of the examination per hour they had used the e-learning package (p = 0.0046) and log-on-time explained 17% of the variance in immunology score. The best and the less skilled students' examination outcomes were not affected by the e-learning. The e-learning was well appreciated among the students. Use of an e-learning package in immunology in addition to regular teaching improved learning outcomes for intermediate-range students.

Main factors in E-Learning for the Equivalency Education Program (E-LEEP)

NASA Astrophysics Data System (ADS)

Yel, M. B.; Sfenrianto

2018-03-01

There is a tremendous learning gap between formal education and non-formal education. E-Learning can facilitate non-formal education learners in improving the learning process. In this study, we present the main factors behind the E-learning for the Equivalency Education Program (E-LEEP) initiative in Indonesia. There are four main factors proposed, namely: standardization, learning materials, learning process, and learners’ characteristics. Each factor supports each other to achieve the learning process of E-LEEP in Indonesia. Although not yet proven, the E-learning should be developed followed the main factors for the non-formal education. This is because those factors can improve the quality of E-Learning for the Equivalency Education Program.

E-Learning and Instructional Management System Based on Local Computer Networks and Internet

ERIC Educational Resources Information Center

Khazaal, Hasan F.; Abbas, Riyadh A.; Abdulridha, Basim M.; Karam, Marc; Aglan, Heshmat

2014-01-01

This article describes the educational efforts invested at Wasit University (WU), in Wasit, Iraq, in order to make WU the first university in that country to implement campus-wide e-learning, which is essential for any country aiming for progress through the essential goal of "Education For All"; e-learning being economic, far-reaching,…

Analyzing User Interaction to Design an Intelligent e-Learning Environment

ERIC Educational Resources Information Center

Sharma, Richa

2011-01-01

Building intelligent course designing systems adaptable to the learners' needs is one of the key goals of research in e-learning. This goal is all the more crucial as gaining knowledge in an e-learning environment depends solely on computer mediated interaction within the learner group and among the learners and instructors. The patterns generated…

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

Comparative Study of Learning Using E-Learning and Printed Materials on Independent Learning and Creativity

NASA Astrophysics Data System (ADS)

Wahyu Utami, Niken; Aziz Saefudin, Abdul

2018-01-01

This study aims to determine: 1) differences in students taking independent learning by using e-learning and the students who attend the learning by using the print instructional materials ; 2) differences in the creativity of students who follow learning with e-learning and the students who attend the learning by using the print instructional materials ; 3) differences in learning independence and creativity of students attend learning with e-learning and the students who attend lessons using printed teaching materials in the subject of Mathematics Instructional Media Development. This study was a quasi-experimental research design using only posttest control design. The study population was all students who take courses in Learning Mathematics Media Development, Academic Year 2014/2015 100 students and used a random sample (random sampling) is 60 students. To test the hypothesis used multivariate analysis of variance or multivariable analysis of variance (MANOVA) of the track. The results of this study indicate that 1) There is a difference in student learning independence following study using the e-learning and the students who attend lessons using printed teaching materials in the lecture PMPM ( F = 4.177, p = 0.046 < 0.05 ) ; 2 ) There is no difference in the creativity of the students who complete the learning by using e -learning and students to follow the learning using printed teaching materials in the lecture PMPM ( F = 0.470, p = 0.496 > 0.05) ; No difference learning independence and creativity of students attend learning by using e-learning and the students who attend the learning using printed teaching materials in the lecture PMPM (F = 2.452, p = 0.095 > 0.05). Based on these studies suggested that the learning using e -learning can be used to develop student creativity, while learning to use e -learning and teaching materials can be printed to use to develop students’ independence.

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.

E-Learning in Canada

ERIC Educational Resources Information Center

McGreal, Rory; Anderson, Terry

2007-01-01

A principal characteristic of the Canadian experience with e-learning is the uniquely Canadian feature of provincial jurisdiction over education. Canada is the only country that does not have a national department or ministry of education. Therefore, any investigation of e-learning in Canada must focus more on specific provincial initiatives in…

Personalized E-Learning System Using Item Response Theory

ERIC Educational Resources Information Center

Chih-Ming, Chen; Lee, Hahn-Ming; Chen, Ya-Hui

2005-01-01

Personalized service is important on the Internet, especially in Web-based learning. Generally, most personalized systems consider learner preferences, interests, and browsing behaviors in providing personalized services. However, learner ability usually is neglected as an important factor in implementing personalization mechanisms. Besides, too…

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…

Development of an e-learning system for teaching endoscopists how to diagnose early gastric cancer: basic principles for improving early detection.

PubMed

Yao, Kenshi; Uedo, Noriya; Muto, Manabu; Ishikawa, Hideki

2017-03-01

We developed an internet e-learning system in order to improve the ability of endoscopists to diagnose gastric cancer at an early stage. The efficacy of this system at expanding knowledge and providing invaluable experience regarding the endoscopic detection of early gastric cancer was demonstrated through an international multicenter randomized controlled trial. However, the contents of the system have not yet been fully described in the literature. Accordingly, we herein introduce the contents and their principles, which comprise three main subjects: technique, knowledge, and experience. Since all the e-learning contents and principles are based on conventional white-light endoscopy alone, which is commonly available throughout the world, they should provide a good reference point for any endoscopist who wishes to devise learning materials and guidelines for improving their own clinical practice.

E-learning for health professionals.

PubMed

Vaona, Alberto; Banzi, Rita; Kwag, Koren H; Rigon, Giulio; Cereda, Danilo; Pecoraro, Valentina; Tramacere, Irene; Moja, Lorenzo

2018-01-21

The use of e-learning, defined as any educational intervention mediated electronically via the Internet, has steadily increased among health professionals worldwide. Several studies have attempted to measure the effects of e-learning in medical practice, which has often been associated with large positive effects when compared to no intervention and with small positive effects when compared with traditional learning (without access to e-learning). However, results are not conclusive. To assess the effects of e-learning programmes versus traditional learning in licensed health professionals for improving patient outcomes or health professionals' behaviours, skills and knowledge. We searched CENTRAL, MEDLINE, Embase, five other databases and three trial registers up to July 2016, without any restrictions based on language or status of publication. We examined the reference lists of the included studies and other relevant reviews. If necessary, we contacted the study authors to collect additional information on studies. Randomised trials assessing the effectiveness of e-learning versus traditional learning for health professionals. We excluded non-randomised trials and trials involving undergraduate health professionals. Two authors independently selected studies, extracted data and assessed risk of bias. We graded the certainty of evidence for each outcome using the GRADE approach and standardised the outcome effects using relative risks (risk ratio (RR) or odds ratio (OR)) or standardised mean difference (SMD) when possible. We included 16 randomised trials involving 5679 licensed health professionals (4759 mixed health professionals, 587 nurses, 300 doctors and 33 childcare health consultants).When compared with traditional learning at 12-month follow-up, low-certainty evidence suggests that e-learning may make little or no difference for the following patient outcomes: the proportion of patients with low-density lipoprotein (LDL) cholesterol of less than 100 mg