基于神经网络的高校教师课堂教学质量评价

Using neural network to evaluate university teachers' teaching quality

在分析了高校教师教学质量评价特点的基础上,构建了一种基于模糊理论与神经网络的高校教师教学质量评价体系。该模型将教学评价指标概念量化成确定的数据作为网络的输入,模糊综合评价结果作为输出。该方法既克服了评价主体在评价过程中的主观因素,又得到了满意的评价结果,具有广泛的适用性。

Based on the analysis of features of teaching quality appraisal of teacher sin colleges and universities,an evaluation model of university teachers＇ teaching quality based on fuzzy theory and BP neural network is introduced.The model transforms teaching evaluation indicators into qualified data as BP network input and takes fuzzy synthetic evaluation results as output.the method can both overcome the subjective factors of evaluation main body in evaluation process and bring the satisfactory evaluating results,and it has the widespread serviceability.