Proceedings of the 2025 International Conference on Digital Technology and Educational Psychology (DTEP 2025)

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Research on the Adaptive Development of Teachers’ Competencies in Higher Vocational Colleges under the Background of Artificial Intelligence Empowerment

Authors
Yan Yan1, *, Xinquan Wang1, Fengzhe Li1
1Aviation Maintenance NCO School, Air Force Engineering University, Xinyang, China
*Corresponding author. Email: ayan.own@qq.com
Corresponding Author
Yan Yan
Available Online 10 November 2025.
DOI
10.2991/978-2-38476-487-7_2How to use a DOI?
Keywords
Artificial Intelligence; Higher Vocational Colleges; Teachers’ Competencies; Delphi Method; Analytic Hierarchy Process (AHP)
Abstract

Facing the new development trends of artificial intelligence (AI) technology, the education sector is undergoing profound transformations, and the competency structure of teachers in higher vocational colleges has also witnessed significant changes. Based on the background of AI and the characteristics of vocational education, and integrating existing literature achievements, this paper formulates a framework for the composition of higher vocational teachers’ competency development in the AI context. Using the Delphi method and analytic hierarchy process (AHP), it determines the competency system for higher vocational teachers in the AI era and clarifies the importance of different competencies. This system includes five first-level indicators and 14 second-level indicators, with the first-level indicators being: AI education cognition and application ability, teaching design and innovation ability, data management and analysis ability, human-machine collaborative education ability, and professional development and innovation ability. The research results can provide a reference for the cultivation and enhancement of higher vocational teachers’ competencies, helping them develop various capabilities targetedly and improve their adaptability in the AI-driven context.

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 International Conference on Digital Technology and Educational Psychology (DTEP 2025)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
10 November 2025
ISBN
978-2-38476-487-7
ISSN
2352-5398
DOI
10.2991/978-2-38476-487-7_2How 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  - Yan Yan
AU  - Xinquan Wang
AU  - Fengzhe Li
PY  - 2025
DA  - 2025/11/10
TI  - Research on the Adaptive Development of Teachers’ Competencies in Higher Vocational Colleges under the Background of Artificial Intelligence Empowerment
BT  - Proceedings of the 2025 International Conference on Digital Technology and Educational Psychology (DTEP 2025)
PB  - Atlantis Press
SP  - 4
EP  - 14
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-487-7_2
DO  - 10.2991/978-2-38476-487-7_2
ID  - Yan2025
ER  -