The Exploration of the Path for Generative Artificial Intelligence to Empower Ideological and Political Education
- DOI
- 10.2991/978-2-38476-456-3_6How to use a DOI?
- Keywords
- Generative artificial Intelligence (GAI); ideological and political education; empowering
- Abstract
Generative Artificial Intelligence (GAI) injects innovative momentum into ideological and political education and enables high-quality development through intelligent content construction, immersive scene interaction and personalized teaching recommendation. While promoting the intelligent transformation of teaching content, it also faces multiple challenges such as technology optimization, ethical integration and resource allocation. To this end, it is necessary to build a technical and ethical coordination mechanism, coordinate educational resource allocation and teaching model innovation, strengthen policy guidance and ability cultivation, and finally realize the benign interaction between GAI and ideological and political education, so as to provide support for cultivating well-developed talents.
- Copyright
- © 2025 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 - Qian Liu AU - Yuanpeng Duan PY - 2025 DA - 2025/08/25 TI - The Exploration of the Path for Generative Artificial Intelligence to Empower Ideological and Political Education BT - Proceedings of the 5th International Conference on New Computational Social Science (ICNCSS 2025) PB - Atlantis Press SP - 52 EP - 59 SN - 2352-5398 UR - https://doi.org/10.2991/978-2-38476-456-3_6 DO - 10.2991/978-2-38476-456-3_6 ID - Liu2025 ER -