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Autor/inn/enYang, Stephen J. H.; Chen, Irene Y. L.; Kinshuk; Chen, Nian-Shing
TitelEnhancing the Quality of E-Learning in Virtual Learning Communities by Finding Quality Learning Content and Trustworthy Collaborators
QuelleIn: Educational Technology & Society, 10 (2007) 2, S.84-95 (12 Seiten)Infoseite zur Zeitschrift
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Spracheenglisch
Dokumenttypgedruckt; online; Zeitschriftenaufsatz
ISSN1436-4522
SchlagwörterElectronic Learning; Educational Quality; Virtual Classrooms; Trust (Psychology); Cooperation; Social Networks; Peer Relationship; Quality Control; Classification
AbstractVirtual learning communities encourage members to learn and contribute knowledge. However, knowledge sharing requires mutual-trust collaboration between learners and the contribution of quality knowledge. This task cannot be accomplished by simply storing learning content in repositories. It requires a mechanism to help learners find relevant learning content as well as knowledgeable collaborators to work with. In this paper, we present a peer-to-peer based social network to enhance the quality of e-learning regarding knowledge sharing in virtual learning communities. From a technical viewpoint, we will present advanced semantic search mechanisms for finding quality content and trustworthy collaborators. From the social viewpoint, we will address how to support a trustworthy social network that encourages learners to share. Results of this research demonstrate that applying such mechanisms to knowledge sharing can improve the quality of e-learning in virtual learning communities. (Contains 5 figures and 2 tables.) (As Provided).
AnmerkungenInternational Forum of Educational Technology & Society. Athabasca University, School of Computing & Information Systems, 1 University Drive, Athabasca, AB T9S 3A3, Canada. Tel: 780-675-6812; Fax: 780-675-6973; Web site: http://www.ifets.info
Erfasst vonERIC (Education Resources Information Center), Washington, DC
Update2017/4/10
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