Research and Regression Analysis of Curriculum Ideological and Political Education Based on the Bi directional Fixed Effect Model
- DOI
- 10.2991/978-94-6463-560-7_39How to use a DOI?
- Keywords
- Ideological and political education; Professional courses; two-way fixed effects model
- Abstract
As one of the themes of education in the new era, how to introduce ideological and political education into professional courses is both a key and difficult point. This article examines the necessity of integrating ideological and political education into professional courses. The impact of incorporating ideological and political elements into the classroom on the assessment of students’ ideological and political literacy was tested through a two-way fixed effects model. “Youth Study Program” was used as a mediating variable to verify its intermediate effect, and multiple important factors were listed as control variables for the study. The comprehensive reasons affecting students’ ideological and political literacy were analyzed comprehensively.
- 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 - Ziyan Wang AU - Guanbin Yuan AU - Xi Shen PY - 2024 DA - 2024/11/01 TI - Research and Regression Analysis of Curriculum Ideological and Political Education Based on the Bi directional Fixed Effect Model BT - Proceedings of the 2024 4th International Conference on Internet Technology and Educational Informatization (ITEI 2024) PB - Atlantis Press SP - 320 EP - 328 SN - 2667-128X UR - https://doi.org/10.2991/978-94-6463-560-7_39 DO - 10.2991/978-94-6463-560-7_39 ID - Wang2024 ER -