Why do students use GenAI?

Generative artificial intelligence (GenAI) is becoming embedded in higher education, but adoption research often separates technology acceptance from students’ motivational experience. This study integrates the ARCS Motivation Model and UTAUT to examine behavioral intention and academic GenAI use behavior among Indonesian higher education students. Data were obtained from 308 valid survey responses and analyzed using SmartPLS 4 with 5,000 bootstrap samples. Confidence (β = .261, p < .001), social influence (β = .263, p = .002), and facilitating conditions (β = .282, p < .001) were positively associated with behavioral intention. Behavioral intention (β = .347, p < .001) and facilitating conditions (β = .520, p < .001) were positively associated with user behavior. The model explained 65.7% of behavioral intention and 65.9% of user behavior. PLSpredict indicated positive predictive relevance for both endogenous constructs.

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Publication Details

Journal
Journal of Interdisciplinary Studies in Education
Published
2026-10-30
DOI
https://doi.org/10.32674/cn9xwm10
Primary Topic
Technology Adoption and User Behaviour
Type
article
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article

Why do students use GenAI?

Lutfi Syauki Faznur, Teguh Arie Sandy, Syihaabul Hudaa, Didah Nurhamidah et al.
Journal of Interdisciplinary Studies in Education
Technology Adoption and User Behaviour
article

Why do students use GenAI?

Lutfi Syauki Faznur, Teguh Arie Sandy, Syihaabul Hudaa, Didah Nurhamidah, Nuryani Nuryani
article en

Abstract

Generative artificial intelligence (GenAI) is becoming embedded in higher education, but adoption research often separates technology acceptance from students’ motivational experience. This study integrates the ARCS Motivation Model and UTAUT to examine behavioral intention and academic GenAI use behavior among Indonesian higher education students. Data were obtained from 308 valid survey responses and analyzed using SmartPLS 4 with 5,000 bootstrap samples. Confidence (β = .261, p < .001), social influence (β = .263, p = .002), and facilitating conditions (β = .282, p < .001) were positively associated with behavioral intention. Behavioral intention (β = .347, p < .001) and facilitating conditions (β = .520, p < .001) were positively associated with user behavior. The model explained 65.7% of behavioral intention and 65.9% of user behavior. PLSpredict indicated positive predictive relevance for both endogenous constructs.

Journal of Interdisciplinary Studies in EducationVol. 15(8)
Syarif Hidayatullah State Islamic University Jakarta (ID), Universitas Ahmad Dahlan (ID), State University of Jakarta (ID), Universitas Muhammadiyah Jakarta (ID)
Openalex Percentile: Top 7%
Technology Adoption and User Behaviour
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Why do students use GenAI? — Lutfi Syauki Faznur, Teguh Arie Sandy, et al. · Journal of Interdisciplinary Studies in Education (2026) | TGRS Research Map | TGRS