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中文摘要：
课堂教学是为实现一定的教学目标而展开的信息传递、过程控制和策略实施过程.依据课堂教学的特点给出了课堂教学评估的指标体系,并在此基础上建立了课堂教学评估的层次贝叶斯网络分类器模型.为提高分类器的分类识别准确率,在连续属性中引入形状参数,实验结果显示,通过形状参数的优化能够显著提高分类器的分类识别可靠性.
英文摘要：
The classroom teaching is a process of teaching information transfer,classroom control and implementation of teaching strategies for realizing certain educational objectives.A index system of classroom teaching assessment is presented based on the features of classroom teaching.And a model of mult-hierarchical naive Bayesian network classifier is developed for classroom teaching assessment.In order to improve the classification accuracy of classifier,the shape parameter is pulled in continuous attributes.Experimental results show that the reliability of classifier can be significantly improved by shape parameter optimization.
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