关键词: 学习风格, TAN贝叶斯网络, 自动检测

Abstract: Learning style can significantly affect the students learning in the network environment. Bayesian network is an important means to realize the automatic detection of network learning style, and TAN Bayesian network which improves the naive bias network has better classification accuracy. Based on the FSLSM model, this paper puts forward a learning style model based on TAN Bayesian network learning according to the presupposed learning style, which can realize the automatic detection of students learning style by mining these data come from students’ network study behaviors. The experimental results show that the TAN learning style model has higher accuracy of detection compared with BN algorithm.

Key words: learning style, TAN Bayesian network, automatic detection