A learning diagnosis architecture with a Bayesian network approach

Ho Chuan Huang, Tsui-Ying Wang

研究成果: Conference contribution

3 引文 斯高帕斯(Scopus)

摘要

In this paper, we present a knowledge learning diagnosis approach to supporting a computer-supported collaborative learning environment. Bayesian network technique is used here to diagnose the misconception about learning knowledge and to reason potential misconception for individual learners. After learners have made a test, the system using probabilistic reasoning will automatically create learning communities based on the learners' characteristics and test results. This work is motivated by diagnosing learning performance of learners for both instructors and learners to understand concept comprehension of learners in a computer-supported collaborative learning (CSCL) environment.

原文English
主出版物標題Proceedings - 5th IEEE International Conference on Advanced Learning Technologies, ICALT 2005
頁面33-34
頁數2
DOIs
出版狀態Published - 2005 十二月 1
事件5th IEEE International Conference on Advanced Learning Technologies, ICALT 2005 - Kaohsiung, Taiwan
持續時間: 2005 七月 52005 七月 8

出版系列

名字Proceedings - 5th IEEE International Conference on Advanced Learning Technologies, ICALT 2005
2005

Other

Other5th IEEE International Conference on Advanced Learning Technologies, ICALT 2005
國家Taiwan
城市Kaohsiung
期間05-07-0505-07-08

All Science Journal Classification (ASJC) codes

  • Engineering(all)

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  • 引用此

    Huang, H. C., & Wang, T-Y. (2005). A learning diagnosis architecture with a Bayesian network approach. 於 Proceedings - 5th IEEE International Conference on Advanced Learning Technologies, ICALT 2005 (頁 33-34). [1508599] (Proceedings - 5th IEEE International Conference on Advanced Learning Technologies, ICALT 2005; 卷 2005). https://doi.org/10.1109/ICALT.2005.10