Policy Selection and Evaluation for Higher Education of China, Based on Entropy Weight Method
- DOI
- 10.2991/978-94-6463-172-2_230How to use a DOI?
- Keywords
- Higher education policy; Entropy weight method; Education system of China
- Abstract
The construction of higher education is the focus of China’s future development. This paper is intended to provide advice on higher education policy in China. Along with this general objective, this study methodology use entropy weight model. We divided education policy making into 4 stages and 18 subdivision steps, and selected China and 16 other representative countries for analysis and policy reference. We set out detailed policies for each step of each stage and tested their effectiveness, explaining possible resistance in policy implementing. The value of this article lies in providing detailed directions for future high education policy making in China, and it can be used for reference by other countries with similar national conditions to China. The conclusion of this paper is that our policies can significantly improve the scores of China’s higher education system in all aspects.
- 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
TY - CONF AU - Shuyu Shang AU - Runzhi Tian AU - Zhen Tian PY - 2023 DA - 2023/06/30 TI - Policy Selection and Evaluation for Higher Education of China, Based on Entropy Weight Method BT - Proceedings of the 2023 4th International Conference on Education, Knowledge and Information Management (ICEKIM 2023) PB - Atlantis Press SP - 2063 EP - 2073 SN - 2589-4900 UR - https://doi.org/10.2991/978-94-6463-172-2_230 DO - 10.2991/978-94-6463-172-2_230 ID - Shang2023 ER -