Abstract
With the development of network technology, distance-education research is increasingly valued. Background knowledge and learning objectives of various groups of students on the network are very different. Adaptive education system, which uses different teaching programs for different students, can enhance the efficiency of learning process. In an adaptive education system, the algorithm dealing with uncertainty factors of student model is very important. Bayesian network artifice is a very effective one within various methods dealing with uncertainty. In this paper, we applied Bayesian network method to student model; designed Bayesian network structure in a student model; assigned the local probability distribution and discussed the way to acquire and propagate related evidences. The practice has proven Bayesian network approach for student model is a very effective method.
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