Design of student model in intelligent learning system
Chao Du · Jisuanji gongcheng yu sheji · 2009
For the objective assessment of the students cognitive competence, improving the intelligence of the learning, a method of building student model is presented based on the combination of fuzzy comprehensive evaluation and Bayesian network. As the background of the course of discrete mathematics and the score of every knowledge point of students is used as their behavioral data. First of all, through fuzzy comprehensive evaluation method quantify the point of knowledge for students to master the situation, and then quantify the results as the input nodes of Bayesian network to reason the students' behavior of the next step. The result of the experiment has proved that it verified the validity of the proposed algorithm and obtained good effects.