Optimization of the Indicator System for Students’ Evaluation of Teaching in Universities Based on the AHP Method
Authors
Yingxin Jiang1, *, Shigai Li1, Yang Li1
1Teaching Evaluation Center of Naval Aviation University, Naval Aviation University, Yantai, Shandong, China
*Corresponding author.
Email: 571624987@qq.com
Corresponding Author
Yingxin Jiang
Available Online 27 December 2022.
- DOI
- 10.2991/978-94-6463-044-2_26How to use a DOI?
- Keywords
- Students’ evaluation of teaching; indicator system; optimization
- Abstract
Students’ evaluation of teaching is an important part of education evaluation and is currently one of the main means of feedback on university teachers’ quality of classroom teaching. However, there are three problems with the current indicator system for students’ evaluation of teaching: inappropriate system design, lack of pertinence, and lack of qualitative evaluation. Optimizing the indicator system can help solve the aforementioned problems and thus improve the quality of teaching management, promote the professional development of teachers, thereby enhancing the quality of talent training.
- Copyright
- © 2022 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
TY - CONF AU - Yingxin Jiang AU - Shigai Li AU - Yang Li PY - 2022 DA - 2022/12/27 TI - Optimization of the Indicator System for Students’ Evaluation of Teaching in Universities Based on the AHP Method BT - Proceedings of the 2022 3rd International Conference on Modern Education and Information Management (ICMEIM 2022) PB - Atlantis Press SP - 193 EP - 200 SN - 2667-128X UR - https://doi.org/10.2991/978-94-6463-044-2_26 DO - 10.2991/978-94-6463-044-2_26 ID - Jiang2022 ER -