关键词: 认知行为计算模型, 数据挖掘, 教学质量提升, 人工神经网络, 灵敏度分析, 分类回归树

Abstract: To distinguish students with different categories by cognitive and behavioral expression so as to better improve teachers’ teaching quality, a data mining model based on cognitive and behavior calculating models is proposed. Cognitive and behavior calculating models are proposed based on various important cognitive and behavioral input parameters. Artificial neural network, Sensitivity Analysis（SA）, data mining, Classification and Regression Tree（C＆RT） are applied to classifying by six cognitive parameters and three behavioral parameters. Students are classified to three categories so as to better implement different teaching strategies according to different categories of students. Experiments results show that the behavioral parameters are far more important than cognitive parameters. Analysis results indicate the feasibility of proposed models for supporting teachers’ work in educational systems.

Key words: cognitive and behavior calculating models, data mining, teaching quality improvement, artificial neural network, sensitivity analysis, classification and regression tree