Author

  • Roszi Naszariah Nasni Naseri

    • Faculty of Business and Management, Universiti Teknologi MARA, Melaka Branch, Alor Gajah Campus, Malaysia
    • Malaysia

  • Muhammad Syukri Abdullah

    • Faculty of Business and Management, Universiti Teknologi MARA, Melaka Branch, Alor Gajah Campus, Malaysia
    • Malaysia

Abstract

Artificial Intelligence (AI) technologies are increasingly integrated into educational environments, promising transformative impacts on learning experiences and administrative efficiencies. This review synthesizes prominent theoretical frameworks used to understand AI technology adoption among students and educators in educational settings. The Value-based Adoption Model (VAM), Theory of Planned Behavior (TPB), Unified Theory of Acceptance and Use of Technology (UTAUT), and Technology Acceptance Model (TAM) are examined for their strengths and limitations in explaining the factors influencing technology adoption. Through a comprehensive analysis of recent literature, this paper highlights the involvement of user acceptance, incorporating cognitive, social, and emotional dimensions. Understanding theoretical frameworks related to AI technology adoption could provide a comprehensive overview of existing theoretical frameworks related to AI technology adoption in educational settings, integrating findings into a cohesive narrative.

Keywords

References

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How to Cite

Naseri, R. N. N., & Abdullah, M. S. (2024). Understanding AI Technology Adoption in Educational Settings: A Review of Theoretical Frameworks and their Applications. Information Management and Business Review, 16(3(I), 174-181. https://doi.org/10.22610/imbr.v16i3(I).3963

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Research Paper

Published in

Vol. 16 No. 3(I) (2024) Event Management, Control Systems & Digital Health View issue contents

Published

2024-09-06

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