Proceedings of 2024 4th International Conference on Public Management and Big Data Analysis (PMBDA 2024)

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Policy Analysis of Youth Education in the ChatGPT Era

Authors
Yifen Yin1, Zekai Zhang2, Zhenpeng Wang1, Ka Seng Fok1, Haoqian Hu1, *
1Faculty of Humanities and Social Sciences, Macao Polytechnic University, Macao, China
2Guangdong Huaqian Accounting Firm, Shantou, China
*Corresponding author. Email: hqhu356@gmail.com
Corresponding Author
Haoqian Hu
Available Online 28 February 2025.
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.

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Volume Title
Proceedings of 2024 4th International Conference on Public Management and Big Data Analysis (PMBDA 2024)
Series
Advances in Economics, Business and Management Research
Publication Date
28 February 2025
ISBN
978-94-6463-656-7
ISSN
2352-5428
DOI
10.2991/978-94-6463-656-7_30How to use a DOI?
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

risenwbib
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  -