AI Adoption for Academic Performance: A UTAUT-based Analysis Among Gen Z
Year: 2026
Type: conference-paper
Study design: Observational Study
Abstract: The Generative Artificial Intelligence (GAI) adoption by Generation Z students raised many issues related to risk and ethical use in the academic environment of the era. In this study, we extend the UTAUT framework by adding Perceived Risk and Trust as additional constructs to understand the factors that influence GAI adoption for Gen Z student’s academic performance in Indonesia. A quantitative approach was employed by distributing a questionnaire with a 6-point Likert scale to 339 Indonesian university students located in the Greater Jakarta area. The results show that Facilitating Conditions is the most significant factor that affects the behavioural intention of Indonesian Generation Z students on Generative AI in academic settings. The presence of institutional support provided by universities such as digital platforms, internet connectivity, and supporting academic systems are indicated to significantly influence student intention to adopt GAI. However, Perceived Risk did not have a significant effect because there are potential ethical and privacy risks that were unaware by students while choosing to use GAI. These results show that universities and policymakers need to improve institutions readiness, as well as educate students about the risks of AI in a clear way through ethical guidelines and educating how to use AI with awareness.
Institution: Binus University
Language: English
Subfield: Information Systems and Management
Field: Decision Sciences
Domain: Social Sciences
SDG: Quality education
Open Access status: hybrid
OpenAlex ID: W7203471012