Research on student modeling of intelligent learning system based on CMA mechanism

In ITS model (Intelligent Tutoring System), student model plays a significant role and its intelligence mostly decides the quality of the whole system. Various theories have been put forward to implement student modelling. On the basis of previous experiments´ results, this article introduces a new quantifiable model to record and reflect students´ learning processes and results. It is named the CMA Mechanism (Concept Master Attribute Mechanism) for short. This mechanism sorts all concepts mastered by students into several kinds and quantify them to demonstrate periodical concept master status of a specific student which would be served as a basis to provide dynamic self-adaptive learning advices. Overall, this study shows that CMA is a relatively easy but effective one to implement student modelling.