Proceedings of the 2022 2nd International Conference on Education, Information Management and Service Science (EIMSS 2022)

<Previous Article In Volume
Next Article In Volume>

English Classroom Teaching Evaluation System Based on Particle Swarm Optimization Algorithm

Authors
Hui Mo1, 2, *, Aichun Zhang1, 2
1Guangzhou Sontan Polytechnic College, Guangzhou, Guangdong, China
2Hubei University of Science and Technology, Xianning, Hubei, China
*Corresponding author. Email: monicamohui@126.com
Corresponding Author
Hui Mo
Available Online 12 December 2022.
DOI
10.2991/978-94-6463-024-4_65How to use a DOI?
Keywords
Particle Swarm Optimization; English Classroom; Teaching Evaluation System; Evaluation Indicator
Abstract

Teaching evaluation system is complicated and affected by various factors. Teaching quality assessment is an important measure to ensure the quality of school teaching and meet the needs of society. The purpose of this paper is to design an English school evaluation system based on optimal particle swarm optimization. The computer has become an invaluable teaching tool, which combined with teaching evaluation can directly promote the various aspects of the educational course or programme. According to the current situation of teaching in colleges and universities, in order to meet the specific requirements of teaching quality and promote high-quality talents, the particle swarm optimization algorithm theory is introduced into the teaching evaluation system, and the evaluation index system is also established. Moreover, the optimization learning model of particle swarm optimization is tested. A total of 3000 teacher evaluation data files are used as training data for testing. Each item includes 10 ratings. The results show that expert and peer test results are within 0.2 error on 8 datasets. Among the teaching evaluation models, the evaluation system based on particle swarm optimization algorithm can better evaluate the teacher training model when it comes to the teaching evaluation and judgment of English teachers.

Copyright
© 2023 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.

Download article (PDF)

<Previous Article In Volume
Next Article In Volume>
Volume Title
Proceedings of the 2022 2nd International Conference on Education, Information Management and Service Science (EIMSS 2022)
Series
Atlantis Highlights in Computer Sciences
Publication Date
12 December 2022
ISBN
978-94-6463-024-4
ISSN
2589-4900
DOI
10.2991/978-94-6463-024-4_65How to use a DOI?
Copyright
© 2023 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  - Hui Mo
AU  - Aichun Zhang
PY  - 2022
DA  - 2022/12/12
TI  - English Classroom Teaching Evaluation System Based on Particle Swarm Optimization Algorithm
BT  - Proceedings of the 2022 2nd International Conference on Education, Information Management and Service Science (EIMSS 2022)
PB  - Atlantis Press
SP  - 624
EP  - 632
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-024-4_65
DO  - 10.2991/978-94-6463-024-4_65
ID  - Mo2022
ER  -