Countermeasure Study on the Construction of Curriculum System of Artificial Intelligence Professional Group
- DOI
- 10.2991/978-2-38476-122-7_27How to use a DOI?
- Keywords
- Modern industrial college; Artificial intelligence specialty group; Curriculum system construction
- Abstract
Artificial intelligence has become a national strategy with broad market prospects. At present, there is a serious imbalance between the supply and demand of AI talents in China. As the core of professional group construction, the construction of curriculum system is an important carrier for the realization of professional talent training objectives. This paper analyzes the existing problems in the curriculum system of artificial intelligence specialty group, puts forward 5 tips: establishment of Industrial College, optimize and integrate curriculum resources, highlights the characteristics of practical teaching, practice and training base jointly built by schools and enterprises, improve the management and evaluation mechanism. It helps to achieve the goal of training talents in artificial intelligence professional group.
- 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 - Wenhua Zhang PY - 2023 DA - 2023/10/05 TI - Countermeasure Study on the Construction of Curriculum System of Artificial Intelligence Professional Group BT - Proceedings of the 2023 2nd International Conference on Sport Science, Education and Social Development (SSESD 2023) PB - Atlantis Press SP - 188 EP - 193 SN - 2352-5398 UR - https://doi.org/10.2991/978-2-38476-122-7_27 DO - 10.2991/978-2-38476-122-7_27 ID - Zhang2023 ER -