Application of Bayesian Network Learning Methods in E-learning
E-learning is becoming one of the most important educational means.As more and more organizations and institutions are moving towards the e-learning strategy,self-learning model becomes a big challenge.Background knowledge and learning objectives of various groups of students on the network are very different.Self-learning system,which uses different learning programs for different students,can enhance the efficiency of learning process.In a self-learning system,the algorithm dealing with uncertainty factors of Self-learning 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 self-learning model;designed Bayesian network structure in a self-learning model;assigned the local probability distribution and discussed the way to acquire and propagate related evidences.The practice has proven Bayesian network approach for self-learning model is a very effective method.
Bayesian Network Learning Methods self-learning,e-learning,DAG
Qing Yang Lianfa Zhang Zhufeng Huang Xueping Wang
Center for Language& Language Education,Central China Normal University,Wuhan,Hubei 430079,P.R.China Department of Computer Science,Central China Normal University,Wuhan,Hubei 430079,P.R.China
国际会议
大连
英文
661-666
2008-07-27（万方平台首次上网日期，不代表论文的发表时间）