Vol. 20 / 2025 – International Conference on Virtual Learning
Students' perspectives on the adoption and use of AI tutoring systems in higher education using UTAUT2
Narmin Mohammed NOORI, Hawkar XALID
The integration of AI in education has led to the emergence of AI tutoring systems. These systems aim to create personalized learning experiences through the utilization of machine feedback. Despite their increasing prevalence, doubts remain regarding the efficacy, adaptability, and student receptiveness of AI tutoring systems. This necessitates further investigation into AI tutoring systems from the learner's perspective. Moreover, there is insufficient study regarding students' perceptions and responses to AI tutoring systems. This study aimed to quantitatively examine students' perceptions and experiences about AI tutoring systems utilizing UTAUT2. After collecting survey responses from 220 undergraduates, we analyzed the data using SPSS statistical software. The results indicated the presence of favorable correlations among the elements included in the framework. The PE, FC, HT, and HM exert a considerable influence on the BI, as indicated by multiple linear regression analysis. Behavioral Intention (BI) has a big effect on AI tutoring systems' Use Behavior (UB), but Effort Expectancy (EE), Social Influence (SI), and Price Value (PV) have almost no effect on BI. Academic professionals and learners might anticipate the study's findings to be useful for future research.
Keywords:
UTAUT2,
Students’ Perspectives,
AI Tutoring Systems
CITE THIS PAPER AS:
Narmin Mohammed NOORI,
Hawkar XALID,
"Students' perspectives on the adoption and use of AI tutoring systems in higher education using UTAUT2",
International Conference on Virtual Learning,
ISSN 2971-9291, ISSN-L 1844-8933,
vol. 20,
pp. 279-288,
2025.
https://doi.org/10.58503/icvl-v20y202523