The Model of Teaching Quality Evaluation Based on BP Neural Networks and Its Application
Xuhui Wang, Jian Feng Xu · 2009
In this paper, the authors established an evaluation model of university teaching quality based on back-propagation neural networks. Quantified indices of teaching quality were inputs of the model, while teaching effect was output. The empirical research by MATLAB showed that this evaluation approach was suitable for the university teaching quality assessment tasks, which not only overcomes subjective factors in the process of expert assessment, but also makes full use of the large amount of data about teaching quality and receives satisfactory result of evaluation.