Training teaching quality evaluation system in colleges and universities based on BP neural network

Weiran Liu; Haibo Zhang; Jingjing Jiang

doi:10.1117/12.2675248

25 May 2023 Training teaching quality evaluation system in colleges and universities based on BP neural network

Weiran Liu, Haibo Zhang, Jingjing Jiang

Proceedings Volume 12636, Third International Conference on Machine Learning and Computer Application (ICMLCA 2022); 1263628 (2023) https://doi.org/10.1117/12.2675248
Event: Third International Conference on Machine Learning and Computer Application (ICMLCA 2022), 2022, Shenyang, China

Abstract

The quality of practical teaching in colleges and universities is an important evaluation index of the level of colleges and universities, but the quality of practical teaching in colleges and universities is related to a variety of factors, and the law of change is very complex. To reduce the error rate of teaching evaluation system in colleges and universities, expand the scope of actual teaching evaluation, and ensure the practical application effect of the system, this paper carries out the research of teaching quality evaluation system in colleges and universities based on the BP neural network. Firstly, the system requirements are analyzed, and the requirement structure framework is briefly described for the application requirements and annotations of the system. Then through the establishment of the BP neural network to evaluate the instruction cluster, a circular system execution process is created. Finally, in the main program, access the multi-level evaluation function module, divide the application pressure of the system, divide and verify the results of practical teaching quality, and complete the software design. The system test results show that the error rate of the final system evaluation is controlled below 2. 5% for the evaluation of the four classes, which shows that the system can control the quality of teaching evaluation in each cycle, improve the pertinence of teaching quality evaluation, and improve the final effect of teaching evaluation.

Citation Download Citation

Weiran Liu, Haibo Zhang, and Jingjing Jiang "Training teaching quality evaluation system in colleges and universities based on BP neural network", Proc. SPIE 12636, Third International Conference on Machine Learning and Computer Application (ICMLCA 2022), 1263628 (25 May 2023); https://doi.org/10.1117/12.2675248

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KEYWORDS

Neural networks

Universities

Education and training

Quality systems

Design and modelling

Machine learning

Control systems

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