Ubiquitous collaborative learning in knowledge-aware virtual communities

Irene Y.L. Chen, Addison Su, Jeff Huang, Blue Lan, Yen Shih Shen

研究成果: Conference contribution

摘要

In this paper, we applied peer-to-peer (P2P) and instant messenger (IM) approaches to provide a seamless integration of learning resources. The learning resources contain three categories, namely learning collaborators, content, and services. This seamless learning environment aimed for knowledge sharing in collaboration supported virtual learning communities. Content found by peer-to-peer network refers to the sources of explicit knowledge; while the discussion and interaction details recorded in instant messenger network is the source of tacit knowledge. Interaction occurred in social network can be biparties communication, message exchange, file sharing, and knowledge sharing. Results of this study demonstrate that the applied knowledge sharing mechanism helps learning collaborators find right content and related knowledgeable collaborators who are willing to share their knowledge.

原文English
主出版物標題Proceedings - Thirteenth International Symposium on Temporal Representation and Reasoning, TIME 2006
頁面84-89
頁數6
DOIs
出版狀態Published - 2006 十二月 15
事件IEEE International Conference on Sensor Networks, Ubiquitous, and Trustworthy Computing - Taichung, Taiwan
持續時間: 2006 六月 52006 六月 7

出版系列

名字Proceedings - IEEE International Conference on Sensor Networks, Ubiquitous, and Trustworthy Computing
2006 I

Other

OtherIEEE International Conference on Sensor Networks, Ubiquitous, and Trustworthy Computing
國家Taiwan
城市Taichung
期間06-06-0506-06-07

All Science Journal Classification (ASJC) codes

  • Engineering(all)

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  • 引用此

    Chen, I. Y. L., Su, A., Huang, J., Lan, B., & Shen, Y. S. (2006). Ubiquitous collaborative learning in knowledge-aware virtual communities. 於 Proceedings - Thirteenth International Symposium on Temporal Representation and Reasoning, TIME 2006 (頁 84-89). [1636257] (Proceedings - IEEE International Conference on Sensor Networks, Ubiquitous, and Trustworthy Computing; 卷 2006 I). https://doi.org/10.1109/SUTC.2006.141