The intelligent methods for teaching quality comprehensive assessment

One of the important methods implied into teaching management is the comprehensive assessment of the teaching quality. Currently, this has been held based on weighted sum of those indexes among index system, which can not efficiently make use of the information dependency between historical information and indexes. In solving this dilemma, hierarchical naive Bayesian network was created, which can more efficiently utilize the dependency information between historical information and indexes when the three-class indexes can be either discrete or successive. In doing so, not only can comprehensive assessment of teaching quality realized, but also the quantitative analysis for the index contribution can be reached.