Design an Applied Student Model for Intelligent Tutoring System

摘要：

Student model is a very important and timeconsuming process in Intelligent Tutoring System. Furthermore, for many Web based educational systems, student personality is hard to apply explicitly. To address this problem, we proposed an approach for combining fuzzy compositive evaluation with Bayesian network to design an applied student model. This article describes improvements made to the method and its application to make corresponding tutoring strategy by reasoning student action that supports useful tutoring services in a practical tutoring system. The proposed framework has been integrated within the Discrete Mathematics Tutor System. We obtain results of an experiment that shows the benefit of the integration of the way.

关键词： Student Model Intelligent Tutoring System Bayesian Network

作者: LIU Li-zhen WU Min-hua WANG Hua LIANG Guo-hua

作者单位: Information Engineering College, Capital Normal University, Beijing, 100048, China Faculty of Engineering and Information Technology, University of Technology, Sydney

会议类型: 国际会议

会议名称: 2009 IEEE International Symposium on IT in Medicine & Education( IEEE 教育与医药信息化国际会议)

会议地点: 济南

会议语种:英文

页码: 485-489

在线出版日期: 2009-08-14（万方平台首次上网日期，不代表论文的发表时间）