摘要
根据高校课堂教学质量评价的不确定性,提出了基于贝叶斯网络的评价方法并构建评价模型。首先确定影响教学质量评价体系的因素,然后构建贝叶斯网络的有向无环图,最后对各指标的影响进行分析。研究表明,利用该方法确定评价指标中的权重,可以使定性分析和定量分析结合在一起,尽可能地避免主观因素的影响,从而提高了高校课堂教学质量评价的客观性、准确性和公平性。
According to the uncertainty of teaching quality evaluation in colleges and universities,a model for the quality evaluation based on Bayesian network is proposed.And first the factors influencing evaluation is determined and the directed and acyclic graph is established for Bayesian network,the effect of each index is analyzed.The result indicates that weight of evaluation index is used for the integration of qualitative analysis with quantitative analysis.to avoid the influence of subjective factors and enhance the objectivity,accuracy and fairness of the teaching evaluation system.
出处
《长江大学学报(自科版)(上旬)》
CAS
2015年第4期21-23,3,共3页
JOURNAL OF YANGTZE UNIVERSITY (NATURAL SCIENCE EDITION) SCI & ENG
基金
安徽省省级青年人才基金项目(2011SQRL167)
关键词
教学质量评价
贝叶斯网络
条件概率
评价指标
evaluation of teaching quality
Bayesian network
conditional probability