Empowering Vocational Education with Artificial Intelligence: Opportunities, Challenges, and Response Strategies
- DOI
- 10.2991/978-2-38476-456-3_23How to use a DOI?
- Keywords
- artificial intelligence; Vocational college education; opportunity; Challenge; Response strategy
- Abstract
With the rapid development of artificial intelligence technology, its application in the field of education is becoming increasingly widespread, bringing profound changes to vocational education. On June 20, 2024, President Xi Jinping sent a congratulatory letter to the 2024 World Intelligent Industry Expo, stating that “artificial intelligence is an important driving force for the new round of technological revolution and industrial transformation, and will have a profound impact on global economic and social development and human civilization progress.” This article explores the multifaceted impact of artificial intelligence on vocational college education, analyzes the opportunities and challenges it brings, and proposes targeted response strategies, aiming to provide reference for vocational colleges to use artificial intelligence to achieve educational innovation and development.
- 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 - Fang Ren PY - 2025 DA - 2025/08/25 TI - Empowering Vocational Education with Artificial Intelligence: Opportunities, Challenges, and Response Strategies BT - Proceedings of the 5th International Conference on New Computational Social Science (ICNCSS 2025) PB - Atlantis Press SP - 197 EP - 203 SN - 2352-5398 UR - https://doi.org/10.2991/978-2-38476-456-3_23 DO - 10.2991/978-2-38476-456-3_23 ID - Ren2025 ER -