Issue |
ITM Web Conf.
Volume 77, 2025
2025 International Conference on Education, Management and Information Technology (EMIT 2025)
|
|
---|---|---|
Article Number | 01011 | |
Number of page(s) | 5 | |
DOI | https://doi.org/10.1051/itmconf/20257701011 | |
Published online | 02 July 2025 |
Research on the pathways of empowering ideological and political education in universities with excellent traditional Chinese culture in the age of artificial intelligence
Chongqing University of Science and Technology, 401331, China
* Corresponding author: 2023020@cqust.edu.cn
The application of artificial intelligence (AI) technology in the new era has brought significant changes to the development of various industries and sectors in society. This approach can strengthen college students' cultural identity, helping them establish correct worldviews, values, and outlooks. Leveraging the informational technology advantages of the AI era, such as the internet, big data, cloud computing, new media, and we-media, this paper delves into and develops resources from China's excellent traditional culture. By innovatively exploring pathways for ideological and political education in colleges and universities, it will promote the informatization of teaching reform in this field and also facilitate the inheritance and protection of China's excellent traditional culture.
Key words: Artificial intelligence / Chinese excellent traditional culture / Ideological and political education
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.