Proceedings of the 2025 9th International Seminar on Education, Management and Social Sciences (ISEMSS 2025)

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Research on Artificial Intelligence Empowered Blended Teaching in Aviation Maintenance Major

Authors
Luyao Li1, *, Yanying Guo1, Huizi Lv1
1Guangzhou Civil Aviation College, Guangzhou, China
*Corresponding author. Email: liluyao@gcac.edu.cn
Corresponding Author
Luyao Li
Available Online 12 September 2025.
DOI
10.2991/978-2-38476-462-4_27How to use a DOI?
Keywords
Artificial intelligence; Blended Teaching; Aviation maintenance
Abstract

The emerging artificial intelligence technology endows blended teaching with more possibilities. This article studies the development and application of artificial intelligence technology in the educational field, analyzes the connotation and characteristics of blended teaching, and deeply explores how to use artificial intelligence to empower blended teaching and tap the huge potential of “Artificial Intelligence + Education”. The article proposes several major paths for “Artificial Intelligence + Education”, including reconstructing teaching objectives to match the industrial upgrading, optimizing teaching resources with the help of generative artificial intelligence, supporting the path of personalized teaching relying on artificial intelligence technology, and building a “teacher-student-machine” community. This article proposes a blended teaching plan for aviation maintenance major bilingual courses based on the intelligent teaching platform, explores the deep integration of artificial intelligence and higher education, and helps the innovative cultivation of aviation maintenance professionals.

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 2025 9th International Seminar on Education, Management and Social Sciences (ISEMSS 2025)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
12 September 2025
ISBN
978-2-38476-462-4
ISSN
2352-5398
DOI
10.2991/978-2-38476-462-4_27How 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

risenwbib
TY  - CONF
AU  - Luyao Li
AU  - Yanying Guo
AU  - Huizi Lv
PY  - 2025
DA  - 2025/09/12
TI  - Research on Artificial Intelligence Empowered Blended Teaching in Aviation Maintenance Major
BT  - Proceedings of the 2025 9th International Seminar on Education, Management and Social Sciences (ISEMSS 2025)
PB  - Atlantis Press
SP  - 240
EP  - 249
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-462-4_27
DO  - 10.2991/978-2-38476-462-4_27
ID  - Li2025
ER  -