Construction of Continuing Education Teaching Quality Evaluation System Based on BP Neural Network

In the context of advocating lifelong education, continuing education(CE) has attracted more and more attention, and the development of CE has become a trend in the field of education. With the rapid development of modern technology and the rapid expansion of the scope of continuing education, effective evaluation of the quality of CE has become a top priority for the survival of education projects. Therefore, it is very necessary to scientifically and accurately examine the evaluation of continuing education teaching quality(CETQ). This paper establishes a CETQ evaluation system(ES) based on BP neural network(NN). Through the analysis of CETQ evaluation standards, it is concluded that the standards of students' teaching abilities of teachers are in the range of 0.6~1, it shows that students believe that the teaching quality of CE meets the requirements. Such an evaluation system solves the problem of man-made factors affecting the evaluation results and provides a valuable reference for CETQ evaluation research.