Akademik Veri Yönetim Sistemi
ICERI 2025 18th annual International Conference of Education, Research and Innovation, Sevilla, İspanya, 10 - 12 Kasım 2025, ss.1-8, (Tam Metin Bildiri)
Generative artificial intelligence (GenAI) is reshaping higher education by offering personalized and
efficient learning support. However, even with the research on the acceptance of GenAI ongoing, the
students' perception of it is limited. This study makes an empirical contribution as it explores key
influencers of the acceptance of GenAI applications amongst learners for their academics, and these
were identified through a thorough systematic literature review. A quantitative approach was used, for
which structured survey responses were gathered from 145 university students with prior experience
using GenAI tools. Partial Least Squares Structural Equation Modelling (PLS-SEM) was applied to
examine relationships in the proposed model. Findings reveal perceived usefulness, attitude, hedonic
motivation, and social influence to have a considerable effect on where learners intend to use GenAI
in the future. Whereas task-technology fit, perceived ease of use, and trust were effective with
mediation from other variables. These insights help educators and policymakers better understand
how to integrate generative AI into education effectively and responsibly.
Keywords: Adoption, Students, Generative AI, Technology Acceptance Model.