Proceedings of the 2025 6th International Conference on Management Science and Engineering Management (ICMSEM 2025)

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Research on the Improvement Path of Teaching Competence for Faculty in Local Application-Oriented Universities Empowered by Artificial Intelligence

Authors
Xue Zhang1, *, Xiao Luo1, Fei Jing2
1Academic Affairs Office, Kunming University, Kunming, 650214, China
2Academy of Fine Arts and Art, Kunming University, Kunming, 650214, China
*Corresponding author. Email: zhangxue1533@163.com
Corresponding Author
Xue Zhang
Available Online 16 September 2025.
DOI
10.2991/978-94-6463-845-5_72How to use a DOI?
Keywords
AI; teaching competency; talent cultivation quality; enhancement pathway
Abstract

The rapid development of artificial intelligence (AI) technology has had a profound impact on the field of education, particularly posing new challenges and demands on the core educational role of teachers. Local Application-Oriented Universities (LAOUs), which aim to cultivate high-quality applied talents, have their teachers’ teaching abilities directly related to the quality of talent cultivation. How to facilitate teachers’ adaptation to the AI-driven educational transformation, enhance their pedagogical competencies, and conduct teaching activities effectively has emerged as a critical issue demanding immediate resolution. From the perspective of AI empowerment, this study investigates the core requirements and enhancement pathways for teaching competencies among faculty in LAOUs. It proposes a four-dimensional improvement framework of “technical training; resource co-construction; school-enterprise collaboration; data-driven”, providing theoretical and practical references for the development of teachers’ teaching abilities in local colleges.

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 6th International Conference on Management Science and Engineering Management (ICMSEM 2025)
Series
Atlantis Highlights in Economics, Business and Management
Publication Date
16 September 2025
ISBN
978-94-6463-845-5
ISSN
2667-1271
DOI
10.2991/978-94-6463-845-5_72How 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  - Xue Zhang
AU  - Xiao Luo
AU  - Fei Jing
PY  - 2025
DA  - 2025/09/16
TI  - Research on the Improvement Path of Teaching Competence for Faculty in Local Application-Oriented Universities Empowered by Artificial Intelligence
BT  - Proceedings of the 2025 6th International Conference on Management Science and Engineering Management (ICMSEM 2025)
PB  - Atlantis Press
SP  - 713
EP  - 722
SN  - 2667-1271
UR  - https://doi.org/10.2991/978-94-6463-845-5_72
DO  - 10.2991/978-94-6463-845-5_72
ID  - Zhang2025
ER  -