Research on Civil Aviation Artificial Intelligence General Course Construction and Teaching Reform
- DOI
- 10.2991/978-2-38476-364-1_36How to use a DOI?
- Keywords
- Civil aviation education; Artificial intelligence; General education courses; Virtual teaching and research room
- Abstract
With the rapid development of artificial intelligence (AI) technology, the demand for AI talent across various industries is increasing. Colleges and universities have become important bases for cultivating AI talent, especially in the field of civil aviation, where AI technology has gradually become a core driving force for the construction of smart civil aviation. Based on the practices of the Civil Aviation Flight University of China, this paper explores the innovative path of building a civil aviation artificial intelligence general education course through an interdisciplinary virtual teaching and research room. It analyzes the background, goals, challenges, and coping strategies of course construction and summarizes its application and practical experience in teaching and scientific research.
- 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 - Changchang Zeng AU - Jide Qian AU - Xin Wang AU - Jianming Li PY - 2025 DA - 2025/03/17 TI - Research on Civil Aviation Artificial Intelligence General Course Construction and Teaching Reform BT - Proceedings of the 2024 4th International Conference on Education, Language and Art (ICELA 2024) PB - Atlantis Press SP - 283 EP - 291 SN - 2352-5398 UR - https://doi.org/10.2991/978-2-38476-364-1_36 DO - 10.2991/978-2-38476-364-1_36 ID - Zeng2025 ER -