Prediction of Student Actions Using Weighted Markov Models

摘要：

The Markov model has been applied to many prediction applications including the student models of intelligent tutoring systems. In this paper, we extend this well-known model to the weighted Markov model,and then apply it to student models in order to predict student behaviors. The prediction using our models is based not only on. The frequency of collective behaviors of previous users, but also on the degrees of the relations between the predicted user and others. In doing so, a novel way is presented to quantify the similarities between previous students and the current active student. These similarity scores will be used as weights in the weighted Markov model.

作者: Xiaodi Huang Jianming Yong Jiuyong Li Junbin Gao

作者单位: School of Business and Information Technology,Charles Sturt University School of Information Systems,University of Southern Queensland School of Computer and Information Science,University of South Australia School of Accounting and Computer Science,Charles Sturt University

会议类型: 国际会议

会议名称: 2008 IEEE International Symposium on IT in Medicine and Education(2008信息技术在医学和教育中的应用国际研讨会)(ITME 2008)

会议地点: 厦门

会议语种:英文

页码: 154-159

在线出版日期: 2008-12-12（万方平台首次上网日期，不代表论文的发表时间）