The research of adaptive student model on Bayesian networks
Zhou Xiang-quan · Journal of Shandong Institute of Light Industry · 2007
This study first introduced the Bayesian networks,basic theory of Bayesian network is now one of the most effective theory models in uncertainty knowledge expression and the inference field,and applies to uncertainty,probability knowledge.Using the Bagesian networks the adaptive student model concept and the theory,was introduad and then an adaptive student module was construlted by using the Bayesian network.The knowledge representation methods for student model of Bayesian networks was studied.Finally,an example was intruluced to illustrate the feasibility of this theory.Based on the Bayesian networks,adaptive students model can effectively provide adaptive network teaching resources which can contribute to the realization of adaptive learning in the network teading platform.