Proceedings of the 2023 3rd International Conference on Education, Information Management and Service Science (EIMSS 2023)

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Teaching Quality Evaluation Model of University Teachers Based on Neural Network

Authors
Bin Tang1, *, Changbo Wang1, Haibing Cai1, Xiaohu Liu1, Zhenyu Liu1
1School of Civil Engineering and Architecture, Anhui University of Science and Technology, 168 Taifeng St, Huainan, 232001, China
*Corresponding author. Email: tangbin0554@163.com
Corresponding Author
Bin Tang
Available Online 28 September 2023.
DOI
10.2991/978-94-6463-264-4_72How to use a DOI?
Keywords
university teachers; teaching quality; BP neural network; Evaluation index
Abstract

Considering the structural characteristics and the adaptive and self-learning functions of neural networks, a teaching quality evaluation system for high-level teachers was developed using the BP neural algorithm. The system's mathematical model was established, with each evaluation index serving as input and teaching effectiveness as output. The model demonstrated feasibility and applicability in terms of convergence speed and network adaptability. Experimental results indicated that the mathematical model effectively addressed the complexity and interference of human factors in traditional analysis and evaluation of teaching processes. The model exhibited features such as convenience, accuracy, reliability, and speed, with high identification accuracy.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2023 3rd International Conference on Education, Information Management and Service Science (EIMSS 2023)
Series
Atlantis Highlights in Computer Sciences
Publication Date
28 September 2023
ISBN
978-94-6463-264-4
ISSN
2589-4900
DOI
10.2991/978-94-6463-264-4_72How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Bin Tang
AU  - Changbo Wang
AU  - Haibing Cai
AU  - Xiaohu Liu
AU  - Zhenyu Liu
PY  - 2023
DA  - 2023/09/28
TI  - Teaching Quality Evaluation Model of University Teachers Based on Neural Network
BT  - Proceedings of the 2023 3rd International Conference on Education, Information Management and Service Science (EIMSS 2023)
PB  - Atlantis Press
SP  - 625
EP  - 632
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-264-4_72
DO  - 10.2991/978-94-6463-264-4_72
ID  - Tang2023
ER  -