Research of Student Model Based on Bayesian Network

摘要：

With the development of network technology, distance-education research is increasingly valued. Background knowledge and learning objectives of various groups of students on the network are very different. Adaptive education system, which uses different teaching programs for different students, can enhance the efficiency of learning process. In an adaptive education system, the algorithm dealing with uncertainty factors of student model is very important. Bayesian network artifice is a very effective one within various methods dealing with uncertainty. In this paper, we applied Bayesian network method to student model; designed Bayesian network structure in a student model; assigned the local probability distribution and discussed the way to acquire and propagate related evidences. The practice has proven Bayesian network approach for student model is a very effective method.

关键词： Adaptive Teaching Student Model Bayesian Network

作者: Qing Yang Xiuping Wang Zhufeng Huang Shijue Zheng

作者单位: Department of Computing, Central China Normal University,Wuhan, Hubei 430079, P.R.China

会议类型: 国际会议

会议名称: 第一届国际教育信息技术及应用研讨会(2007 1st International Symposium on Information Technologies and Applications in Education(ISITAE 2007))

会议地点: 昆明

会议语种:英文

在线出版日期: 2007-11-23（万方平台首次上网日期，不代表论文的发表时间）