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

研究成果: Article同行評審

28 引文 斯高帕斯(Scopus)

摘要

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.

原文English
頁(從 - 到)84-95
頁數12
期刊Educational Technology and Society
10
發行號2
出版狀態Published - 2007 四月 1

All Science Journal Classification (ASJC) codes

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

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