Research on the Construction of Artificial Intelligence Technology Application Specialization in the Context of Industrial Upgrading
- DOI
- 10.2991/978-2-38476-297-2_89How to use a DOI?
- Keywords
- industrial upgrading; artificial intelligence technology; professional construction
- Abstract
Under the background of industrial transformation and upgrading, the rapid development of artificial intelligence technology has put forward new requirements for talent cultivation in higher vocational education. This paper will explore the relationship between the transformation and upgrading of regional industries and the professional construction of artificial intelligence technology application in higher vocational colleges and universities from the theoretical and empirical perspectives, analyze the match between the current situation of higher vocational colleges and universities in Hunan Province and the regional industries, and finally put forward relevant countermeasures and suggestions, with a view to providing references for the construction of higher vocational colleges and universities’ professions.
- Copyright
- © 2024 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 - Jie Zhang AU - Sihuang Liu PY - 2024 DA - 2024/10/31 TI - Research on the Construction of Artificial Intelligence Technology Application Specialization in the Context of Industrial Upgrading BT - Proceedings of the 2024 8th International Seminar on Education, Management and Social Sciences (ISEMSS 2024) PB - Atlantis Press SP - 730 EP - 737 SN - 2352-5398 UR - https://doi.org/10.2991/978-2-38476-297-2_89 DO - 10.2991/978-2-38476-297-2_89 ID - Zhang2024 ER -