A modeling method based on Bayesian networks in intelligent tutoring system

Abstract

In the Intelligent Tutoring System (ITS), how to assess a student and provide a student with the proper tutoring in the learning process is an important problem. In order to get the student's situation, many assessing methods based on student model have been proposed. In this paper, an overlay student model based on Bayesian networks is presented. This student model built on knowledge relationships with prediction ability is discussed in details. Based on this model, an assessing method based on Logistic model with three parameters is provided to evaluate student's performance. A case study in Data Structure course is illustrated in this paper. ©2007 IEEE.