Policy Analysis of Youth Education in the ChatGPT Era
- DOI
- 10.2991/978-94-6463-656-7_30How to use a DOI?
- Keywords
- Youth Education; ChatGPT; Artificial Intelligence; Youth Policy
- Abstract
China’s youth education policy mainly consists of three policy systems: youth policy, higher education policy, and talent policy. At present, the basic policy stance of the country towards artificial intelligence is to give equal importance to encouraging support and strict regulation. As an advanced language tool model, ChatGPT has the potential to revolutionize the quality of youth education, especially higher education. It is conducive to forming personalized learning for young people, promoting innovative thinking, enhancing the interactivity of youth learning, and stimulating the emergence and growth of blended learning models. At the same time, ChatGPT also poses technological and ethical challenges to youth education, including eliminating student autonomy in learning, triggering a crisis of educational integrity, weakening the emotional learning ecosystem, and triggering data security risks; In the era of ChatGPT, the government’s public policies should strive to achieve situational integration between ChatGPT and youth education, regulate and restrict the application boundaries of ChatGPT, highlight the educational concept of student subjectivity, be alert to the negative impact of ChatGPT on young people’s ideology, enhance the digital literacy and skills of teachers and students, and ensure their privacy and data security.
- 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 - Yifen Yin AU - Zekai Zhang AU - Zhenpeng Wang AU - Ka Seng Fok AU - Haoqian Hu PY - 2025 DA - 2025/02/28 TI - Policy Analysis of Youth Education in the ChatGPT Era BT - Proceedings of 2024 4th International Conference on Public Management and Big Data Analysis (PMBDA 2024) PB - Atlantis Press SP - 305 EP - 319 SN - 2352-5428 UR - https://doi.org/10.2991/978-94-6463-656-7_30 DO - 10.2991/978-94-6463-656-7_30 ID - Yin2025 ER -