A clustering algorithm based on Bayesian network learning system

Construction of Student Model for Bayesian network-based Intelligent Tutoring System belongs to one of the major content for individualized teaching strategies, which plays crucial role during the whole process of research. Only after the reasonable student model is established, can analysis of the learning characteristics be carried out accordingly so that learning strategy can be made for individualized learning. This paper presents an algorithm to obtain students´ feature information using data mining technique. Researchers who are interested in different teaching strategy are referred to this piece of work.