Proceedings of the 2023 4th International Conference on Artificial Intelligence and Education (ICAIE 2023)

<Previous Article In Volume
Next Article In Volume>

Research on the Evaluation Model of Teachers’ Teaching Quality Based on Principal Component Analysis

Authors
Xiao Chen1, *, Yuncheng Li1
1Shandong Institute of Commerce and Technology, Ji’nan, China
*Corresponding author. Email: 1292389826@qq.com
Corresponding Author
Xiao Chen
Available Online 22 September 2023.
DOI
10.2991/978-94-6463-242-2_6How to use a DOI?
Keywords
Comprehensive evaluation model; principal components; correlation coefficient; Contribution rate; MATLAB
Abstract

Teaching quality evaluation is one of the important contents of teaching management. This paper can achieve a more scientific and reasonable evaluation of teaching quality by building a principal component comprehensive evaluation model. Therefore, this paper selects the actual evaluation data of eight teachers for analysis, calculates the correlation coefficient matrix of evaluation data and its eigenvalues and eigenvectors, and then calculates the information contribution rate and cumulative contribution rate of eigenvalues. In the use of principal component analysis, four principal components with large contribution rate are selected to calculate each principal component value, and a principal component comprehensive evaluation model is constructed. With this model, the comprehensive evaluation value of each teacher is calculated and sorted.

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.

Download article (PDF)

<Previous Article In Volume
Next Article In Volume>
Volume Title
Proceedings of the 2023 4th International Conference on Artificial Intelligence and Education (ICAIE 2023)
Series
Atlantis Highlights in Computer Sciences
Publication Date
22 September 2023
ISBN
978-94-6463-242-2
ISSN
2589-4900
DOI
10.2991/978-94-6463-242-2_6How 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  - Xiao Chen
AU  - Yuncheng Li
PY  - 2023
DA  - 2023/09/22
TI  - Research on the Evaluation Model of Teachers’ Teaching Quality Based on Principal Component Analysis
BT  - Proceedings of the 2023 4th International Conference on Artificial Intelligence and Education (ICAIE 2023)
PB  - Atlantis Press
SP  - 38
EP  - 44
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-242-2_6
DO  - 10.2991/978-94-6463-242-2_6
ID  - Chen2023
ER  -