Proceedings of the International Conference on Economics, Business, Management and Accounting (ICEBesMA 2025)

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Strategies, challenges, and future directions for the integration of AI in teaching and learning

Authors
Zulnaidi Yaacob1, *, Marta Nowakowska2
1School of Distance Education, Universiti Sains, George Town, Malaysia
2Faculty of Management, Wroclaw University of Science and Technology, Wrocław, Poland
*Corresponding author. Email: zulnaidi@usm.my
Corresponding Author
Zulnaidi Yaacob
Available Online 31 December 2025.
DOI
10.2991/978-94-6463-960-5_10How to use a DOI?
Keywords
Artificial Intelligence; Higher Education; Teaching and Learning; Educational Technology; Ethics
Abstract

The integration of artificial intelligence (AI) into teaching and learning (T&L) has accelerated recently, reflecting both technological advancements and recognition of AI’s potential to transform learning experiences. Despite its widespread adoption, there is still a limited critical discussion of its ethical, pedagogical, and institutional implications. This paper aims to review the literature on the role of AI in shaping T&L in higher education, with attention to strategies, challenges, and future directions. The literature highlights contributions of AI, such as personalized learning, improved evaluation and assessment practices, and enhanced student interaction and engagement. However, it also reveals challenges related to ethics, equity, data protection, and the risk of over-reliance on technology. The integration of AI into higher education represents an evolving yet promising trajectory. To realize its potential, higher education institutions must balance innovation with ethics and evaluation of long-term impacts on teaching pedagogy and student experience.

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 International Conference on Economics, Business, Management and Accounting (ICEBesMA 2025)
Series
Advances in Economics, Business and Management Research
Publication Date
31 December 2025
ISBN
978-94-6463-960-5
ISSN
2352-5428
DOI
10.2991/978-94-6463-960-5_10How 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  - Zulnaidi Yaacob
AU  - Marta Nowakowska
PY  - 2025
DA  - 2025/12/31
TI  - Strategies, challenges, and future directions for the integration of AI in teaching and learning
BT  - Proceedings of the International Conference on Economics, Business, Management and Accounting (ICEBesMA 2025)
PB  - Atlantis Press
SP  - 133
EP  - 143
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-960-5_10
DO  - 10.2991/978-94-6463-960-5_10
ID  - Yaacob2025
ER  -