Enhancing the quality of e-learning in virtual learning communities by finding quality learning content and trustworthy collaborators

Stephen J.H. Yang, Ya-Ling Chen, Kinshuk, Nian Shing Chen

Research output: Contribution to journalArticle

28 Citations (Scopus)

Abstract

Virtual 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.

Original languageEnglish
Pages (from-to)84-95
Number of pages12
JournalEducational Technology and Society
Volume10
Issue number2
Publication statusPublished - 2007 Apr 1

All Science Journal Classification (ASJC) codes

  • Education
  • Sociology and Political Science
  • Engineering(all)

Fingerprint Dive into the research topics of 'Enhancing the quality of e-learning in virtual learning communities by finding quality learning content and trustworthy collaborators'. Together they form a unique fingerprint.

  • Cite this