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.
Teacher teaching quality Comprehensive assessment Hierarchical naive Bayesian network Classifier Contribution analysis
Lanchun Li Shuangcheng Wang Cuiping Leng
School of Foreign Studies, Shanghai Lixin University of Commerce, Shanghai, China, 201620 School of Mathematics and Information, Shanghai Lixin University of Commerce, Shanghai, China, 20162
国际会议
2011 China Control and Decision Conference(2011中国控制与决策会议 CCDC)
四川绵阳
英文
2508-2512
2011-05-23（万方平台首次上网日期，不代表论文的发表时间）