Application and Prospect of Artificial Intelligence in Online Vocational Education
Authors
Weiwei Wang1, Xuandao Yao1, Zhaohui Ye1, *
1Military Vocational Education and Technical Service Center, NUDT, Deya Road 109, Kaifu District, Changsha, China
*Corresponding author.
Email: zhye@nudt.edu.cn
Corresponding Author
Zhaohui Ye
Available Online 9 December 2022.
- DOI
- 10.2991/978-94-6463-012-1_7How to use a DOI?
- Keywords
- Artificial Intelligence; Vocational Education; Online Vocational Education
- Abstract
The rapid upgrading and changing of artificial intelligence technology accelerate the reconstruction of teaching modes, learning modes, and organization management modes of vocational education. Combined with the characteristics of modern vocational education, we should take advantage of the situation, face the problems, focus on the learning process of learners, help teachers develop more interesting and effective teaching activities, help learners to carry out learning more quickly and more targeted, and promote the deep integration of artificial intelligence and online vocational education.
- Copyright
- © 2023 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 - Weiwei Wang AU - Xuandao Yao AU - Zhaohui Ye PY - 2022 DA - 2022/12/09 TI - Application and Prospect of Artificial Intelligence in Online Vocational Education BT - Proceedings of the 2022 International Conference on Educational Innovation and Multimedia Technology (EIMT 2022) PB - Atlantis Press SP - 46 EP - 55 SN - 2667-128X UR - https://doi.org/10.2991/978-94-6463-012-1_7 DO - 10.2991/978-94-6463-012-1_7 ID - Wang2022 ER -