EXPLORING STUDENT PERSPECTIVES ON ADOPTING GENERATIVE ARTIFICIAL INTELLIGENCE FOR LEARNING: AN EMPIRICAL STUDY

Date

2025-11-12

Author

Özkan Yıldırım, Sevgi
Zaka, Minal

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Generative artificial intelligence (GenAI) is reshaping higher education by offering personalized andefficient learning support. However, even with the research on the acceptance of GenAI ongoing, thestudents' perception of it is limited. This study makes an empirical contribution as it explores keyinfluencers of the acceptance of GenAI applications amongst learners for their academics, and thesewere identified through a thorough systematic literature review. A quantitative approach was used, forwhich structured survey responses were gathered from 145 university students with prior experienceusing GenAI tools. Partial Least Squares Structural Equation Modelling (PLS-SEM) was applied toexamine relationships in the proposed model. Findings reveal perceived usefulness, attitude, hedonicmotivation, and social influence to have a considerable effect on where learners intend to use GenAIin the future. Whereas task-technology fit, perceived ease of use, and trust were effective withmediation from other variables. These insights help educators and policymakers better understandhow to integrate generative AI into education effectively and responsibly.Keywords: Adoption, Students, Generative AI, Technology Acceptance Model.

URI

https://hdl.handle.net/11511/116759

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Graduate School of Informatics, Conference / Seminar