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

被引:1
|
作者
Yang, Stephen J. H.
Chen, Irene Y. L.
Kinshuk
Chen, Nian-Shing
机构
[1] Natl Cent Univ, Dept Comp Sc & Informat Engg, JhongLi 320, Taiwan
[2] Ching Yun Univ, Dept Informat Management, JhongLi 320, Taiwan
[3] Natl Sun Yat Sen Univ, Dept Informat Management, Kaohsiung 80424, Taiwan
来源
EDUCATIONAL TECHNOLOGY & SOCIETY | 2007年 / 10卷 / 02期
关键词
quality of e-learning; quality content; trustworthy; knowledge sharing; virtual learning community;
D O I
暂无
中图分类号
G40 [教育学];
学科分类号
040101 ; 120403 ;
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.
引用
收藏
页码:84 / 95
页数:12
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