Research on the Evaluation of Comprehensive Level of Compulsory Education Based on Factor Analysis Method
- DOI
- 10.2991/978-94-6463-242-2_69How to use a DOI?
- Keywords
- Statistical analysis; Factor analysis; Compulsory education; Evaluation index system
- Abstract
Basic education is one of the key factors to determine the development of education, and studying its quality level is helpful to make more scientific and sensible decisions. During the decade from 2010 to 2020, the popularization of compulsory education in all parts of China has increased significantly. Although it has reached a high level, the level of development is uneven. In order to help improve the compulsory education policy and promote the balanced development of compulsory education, this study takes the comprehensive level of compulsory education as the first-level index, considers from the three aspects of teachers, students and the environment, and, after repeated verification and improvement, constructs a reasonable evaluation index system of the comprehensive level of compulsory education. In addition, we took the data of compulsory education in China in 2020 as an example to carry out the empirical evaluation research, analyzed the empirical evidence, and put forward reasonable suggestions.
- 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
TY - CONF AU - Yingxuan Tian AU - Mingxin Wang AU - Saidong Lv PY - 2023 DA - 2023/09/22 TI - Research on the Evaluation of Comprehensive Level of Compulsory Education Based on Factor Analysis Method BT - Proceedings of the 2023 4th International Conference on Artificial Intelligence and Education (ICAIE 2023) PB - Atlantis Press SP - 563 EP - 572 SN - 2589-4900 UR - https://doi.org/10.2991/978-94-6463-242-2_69 DO - 10.2991/978-94-6463-242-2_69 ID - Tian2023 ER -