The Important Value and Path Optimization of Empowering Precise Ideological and Political Education in Universities with Big Data Technology
Authors
Chuanhui Chen1, *, Aimei Yang2
1Foreign Language School, Wuhan University of Technology, Wuhan, China
2Foreign Language School, Wuhan University of Technology, Wuhan, China
*Corresponding author.
Email: 286876906@qq.com
Corresponding Author
Chuanhui Chen
Available Online 28 September 2023.
- DOI
- 10.2991/978-94-6463-264-4_92How to use a DOI?
- Keywords
- big data technology; precise ideological and political education in universities; path optimization
- Abstract
Higher education ideological and political education is a complex and long-term systematic project that needs to keep pace with the times and apply the latest technological means. The use of big data technology can help achieve the goal of accurate ideological and political education in universities. This study aims to explore how big data technology empowers accurate ideological and political education in universities, analyze limiting factors, and propose scientific optimization paths, providing assistance for the innovative development of accurate ideological and political education in higher education.
- 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 - Chuanhui Chen AU - Aimei Yang PY - 2023 DA - 2023/09/28 TI - The Important Value and Path Optimization of Empowering Precise Ideological and Political Education in Universities with Big Data Technology BT - Proceedings of the 2023 3rd International Conference on Education, Information Management and Service Science (EIMSS 2023) PB - Atlantis Press SP - 797 EP - 804 SN - 2589-4900 UR - https://doi.org/10.2991/978-94-6463-264-4_92 DO - 10.2991/978-94-6463-264-4_92 ID - Chen2023 ER -