Developing cognitive diagnostic assessments system for mathematics learning

Lin Jung Wu*, Hsin Hao Chen, Yao Ting Sung, Ko En Chang

*此作品的通信作者

研究成果: 書貢獻/報告類型會議論文篇章

4 引文 斯高帕斯(Scopus)

摘要

The aim of this study is to develop a diagnostic system for mathematical concepts. By adopting a Bayesian network for its high recognition rate in artificial intelligence and diagnosis, and combining and applying deduction methods in computerized tests, this system helps students to understand the difficulties they encounter in mathematical learning, and subsequently helps in implementing immediate remedies. The computerized diagnostic tests established in this research module can diagnose the types of mistakes students make; and in addition to helping students realize their erroneous concepts, this system also helps teachers to grasp the types of mistakes students make, and to implement group remedial teaching accordingly. The study result indicates that the mean recognition rates of the computerized diagnostic system developed in this study are 95.72 %, 99.10 %, 98.73 %, 99.02 %, and 98.96 %; this system can effectively and automatically detect the types of mistakes that students make.

原文英語
主出版物標題Proceedings of the 12th IEEE International Conference on Advanced Learning Technologies, ICALT 2012
頁面228-229
頁數2
DOIs
出版狀態已發佈 - 2012
事件12th IEEE International Conference on Advanced Learning Technologies, ICALT 2012 - Rome, 意大利
持續時間: 2012 7月 42012 7月 6

出版系列

名字Proceedings of the 12th IEEE International Conference on Advanced Learning Technologies, ICALT 2012

其他

其他12th IEEE International Conference on Advanced Learning Technologies, ICALT 2012
國家/地區意大利
城市Rome
期間2012/07/042012/07/06

ASJC Scopus subject areas

  • 電腦網路與通信
  • 教育

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