Proceedings of the 2024 3rd International Conference on Educational Science and Social Culture (ESSC 2024)

The Necessity and Teaching Reform of Artificial Intelligence Courses Under the Background of Low Altitude Economy - Based on Aviation Related Majors

Authors
Chengbo Yang1, *, Zhiliang Zhao1, *
1School of Aeronautics and Astronautics, Xihua University, Chengdu, 611745, China
*Corresponding author. Email: 18408212738@163.com
*Corresponding author. Email: zzl_caep@163.com
Corresponding Authors
Chengbo Yang, Zhiliang Zhao
Available Online 3 April 2025.
DOI
10.2991/978-2-38476-384-9_24How to use a DOI?
Keywords
Aviation major; Artificial intelligence; Educational reform; Applied talents
Abstract

With the burgeoning concept of the low altitude economy and the rapid advancements in artificial intelligence (AI) technology, the aviation industry is undergoing a significant transformation. This transformation necessitates the cultivation of aviation professionals who possess not only deep knowledge of aviation principles but also a robust understanding of AI technologies. Consequently, the integration of AI education into undergraduate aviation programs has emerged as a crucial reform direction. This article delves into the imperative of introducing AI-focused undergraduate courses and reforming traditional teaching methods within aviation majors. It proposes comprehensive reform suggestions, including teaching content, teaching methods, practical aspects, and evaluation systems. In terms of teaching content, the article advocates for the inclusion of AI fundamentals, machine learning algorithms, and data analytics tailored to aviation scenarios. Teaching methods, on the other hand, should project-based assignments, and real-world case studies to foster a deeper understanding and practical application of AI concepts. Moreover, the paper emphasizes the importance of practical aspects. Finally, the evaluation system should be restructured to assess not only theoretical knowledge but also practical skills and innovative thinking. Therefore, this article proposes a series of reform methods using AI projects related to the aviation field in the open source project of Alibaba Tianchi Competition as the core, demonstrating the practical role of AI in the aviation field, enhancing the ability of aviation students to use AI to handle practical problems, and using the Tianchi Competition ranking list as the evaluation system. The ultimate goal of these reforms is to build a curriculum system that not only aligns with the unique characteristics of aviation majors but also cultivates students’ AI literacy and prepares them to become applied talents in the aviation field, driving the industry towards a future of greater efficiency, safety, and innovation.

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.

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Volume Title
Proceedings of the 2024 3rd International Conference on Educational Science and Social Culture (ESSC 2024)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
3 April 2025
ISBN
978-2-38476-384-9
ISSN
2352-5398
DOI
10.2991/978-2-38476-384-9_24How to use a DOI?
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  - Chengbo Yang
AU  - Zhiliang Zhao
PY  - 2025
DA  - 2025/04/03
TI  - The Necessity and Teaching Reform of Artificial Intelligence Courses Under the Background of Low Altitude Economy - Based on Aviation Related Majors
BT  - Proceedings of the 2024 3rd International Conference on Educational Science and Social Culture (ESSC 2024)
PB  - Atlantis Press
SP  - 199
EP  - 209
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-384-9_24
DO  - 10.2991/978-2-38476-384-9_24
ID  - Yang2025
ER  -