Research on the Application of BP Neural Network in the Evaluation of College Teaching Quality

Abstract

With the expansion of colleges and universities, the society and public are more and more concerned about the quality of students' learning. For colleges and universities, how to improve the teaching quality of teachers is a problem that needs to be considered. Because of the diversity of teaching and students and the supervisory factors of the educational affairs department, it is difficult to be objective and fair in teaching quality evaluation. In order to improve the accuracy of the current college teaching quality evaluation, this paper applies the BP neural network to the college teaching quality evaluation. This paper constructs a BP (Back Propagation) neural network model for college teaching quality evaluation and verifies the accuracy of the BP neural network through experiments. The results show that the BP neural network established in this paper can evaluate the college teaching quality well.