Research on the Digital Competency Improvement Path of Higher Vocational UAV Application Technology Professional Teachers Based on AI Technology
Authors
Jian Wu1, *, Zhifeng Mao1
1School of Information Engineering, Liuzhou City Vocational College, Liuzhou, Guangxi, China
*Corresponding author.
Email: 236073418@qq.com
Email: 1225778151@qq.com
Corresponding Author
Jian Wu
Available Online 28 September 2023.
- DOI
- 10.2991/978-94-6463-264-4_66How to use a DOI?
- Keywords
- UAV Application Technology; Digital Competence; Artificial Intelligence; Higher Vocational Education
- Abstract
With the rapid development of UAV technology, the digital competence of UAV application technology professional teachers in higher vocational colleges has become a key element of educational reform and development. This paper analyzes the current situation of digital competency of UAV application technology teachers in higher vocational colleges, and then discusses the improvement path based on AI technology, in order to provide new ideas and methods for the improvement of digital competency of UAV application technology teachers in higher vocational colleges.
- 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 - Jian Wu AU - Zhifeng Mao PY - 2023 DA - 2023/09/28 TI - Research on the Digital Competency Improvement Path of Higher Vocational UAV Application Technology Professional Teachers Based on AI Technology BT - Proceedings of the 2023 3rd International Conference on Education, Information Management and Service Science (EIMSS 2023) PB - Atlantis Press SP - 575 EP - 583 SN - 2589-4900 UR - https://doi.org/10.2991/978-94-6463-264-4_66 DO - 10.2991/978-94-6463-264-4_66 ID - Wu2023 ER -