Sep 2026· Journal of Interdisciplinary Studies in Education· Vol 15· 0 citations· 30 references
Abstract
This quantitative cross-sectional survey study examined the factors influencing student acceptance of ChatGPT and the extent to which UTAUT2 explained behavioral intention and actual use among students enrolled in two-year and four-year programs at Historically Black Colleges and Universities (HBCUs). Using Partial Least Squares Structural Equation Modeling (PLS-SEM), habit, hedonic motivation, performance expectancy, and social influence significantly predicted behavioral intention. Habit emerged as the strongest predictor. Behavioral intention and facilitating conditions significantly predicted actual use. The Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) explained 75% of the variance in behavioral intention but only 16.7% in actual use. These findings demonstrate that understanding students’ acceptance of generative AI (GenAI) does not fully explain actual use and suggests that research and institutional responses to student adoption should consider both intention and use when examining student’s engagement with these technologies.
The findings indicate that teachers' adoption decisions are jointly driven by instrumental value and institutional provisioning, and that generalized technology anxiety is not, in itself, a barrier among teachers who already have practical exposure to GenAI.
Short videos are the dominant leisure medium for modern college students. Numerous undergraduates get addicted to continuous browsing, failing to control viewing time.This problem leads to academic delay, sleep disorders, poor focus and various physical, psychological and academic harms. Centered on the Theory of Plann...
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Generative AI (GenAI) is rapidly altering learning environments, yet comparative research spanning secondary and higher education remains scarce. Grounded in the Technology Acceptance Model (TAM), this cross-sectional study surveyed Macao secondary (n = 487) and university (n = 401) students in 2026 using convenience s...
Zhan-Xi Xie, Guanqiuyue Chen, Frankie U. Kei Wong et al.· Education sciences· 0 citations
The integration of generative artificial intelligence (AI) into secondary education is creating new opportunities for advanced, adaptive, and student-centered learning, while its educational value depends partly on students' acceptance and actual use of the technology. Therefore, this study examines the acceptance and...
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The proposed framework integrates the Technology Acceptance Model (TAM), the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2), and the Theory of Planned Behavior (TPB), supplemented by local contextual factors related to digital infrastructure.
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