Proceedings of the 2025 5th International Conference on Education, Language and Art (ICELA 2025)

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Generative AI in Higher Education: An Extended AI-TAM Model from a Multi-Stakeholder Perspective

Authors
Anqian Zhang1, *
1Institute of Education, University College London, London, WC1X 0BP, United Kingdom
*Corresponding author. Email: ciciz1226@gmail.com
Corresponding Author
Anqian Zhang
Available Online 15 February 2026.
DOI
10.2991/978-94-6463-988-9_28How to use a DOI?
Keywords
Generative AI; Higher Education; Technology Acceptance Model (TAM); AI-TAM; Mixed-Methods Research; Stakeholder Analysis; Educational Technology
Abstract

This study confronts critical gaps in Generative Artificial Intelligence (GAI) research for higher education, notably overlooking usage frequency and depth, risk mechanisms, and divergent stakeholder needs. We propose and rigorously validate an extended Artificial Intelligence Technology Acceptance Model (AI-TAM) by introducing four pivotal new dimensions: discipline-specific requirements, the context of risk perception, stakeholder-specific needs, and the frequency and depth of user engagement. Leveraging a robust mixed-methods design, we gathered 300 valid survey responses from students, faculty, and academic administrators, complemented by semi-structured interviews. Our findings uncover a stark disparity in GAI integration: students primarily harness GAI for information retrieval and initial drafting, while faculty engagement spans teaching and research more evenly. Academic administrators lag significantly in adoption. Distinct disciplinary differences emerge: engineering disciplines place paramount importance on algorithmic accuracy, medical fields demand precision and compliance, the humanities champion critical thinking, and the arts focus fiercely on innovation and authenticity. This research delivers a multifaceted framework for comprehending GAI adoption and presents targeted recommendations for its strategic integration into the higher education ecosystem.

Copyright
© 2026 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 5th International Conference on Education, Language and Art (ICELA 2025)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
15 February 2026
ISBN
978-94-6463-988-9
ISSN
2352-5398
DOI
10.2991/978-94-6463-988-9_28How to use a DOI?
Copyright
© 2026 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  - Anqian Zhang
PY  - 2026
DA  - 2026/02/15
TI  - Generative AI in Higher Education: An Extended AI-TAM Model from a Multi-Stakeholder Perspective
BT  - Proceedings of the 2025 5th International Conference on Education, Language and Art (ICELA 2025)
PB  - Atlantis Press
SP  - 235
EP  - 251
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-94-6463-988-9_28
DO  - 10.2991/978-94-6463-988-9_28
ID  - Zhang2026
ER  -