期刊论文

Zhang, Kai

英文

Knowledge-Based Systems

0950-7051

2018

148

May 15

189-201

10.1016/j.knosys.2018.03.001

This research was partially supported by the program of China Scholarship Council (CSC) under the Grant No. 201606775044 , and a Discovery Grant from NSERC, Canada. We used the Assistments Math 2004–2005 (912 Students), 2005–2006 (3136 Students), 2006–2007 (5046 Students) and dataset accessed via DataShop [ [9] ]. We would like to thank the anonymous reviewers for their constructive advice.

本校为第一机构

This paper proposes a Bayesian knowledge tracing model with three learning states by extending the original two learning states. We divide a learning process into three sections by using an evaluation function for three-way decisions. Advantages of such a trisection over traditional bisection are demonstrated by comparative experiments. We develop a three learning states model based on the trisection of the learning process. We apply the model to a series of comparative experiments with the original model. Qualitative and quantitative analyses of the experimental results indicate the superior ...