Integrating the adapted UTAUT model with moral obligation, trust and perceived risk to predict ChatGPT adoption for assessment support: A survey with students
Chung Yee Lai, Kwok Yip Cheung, Chee Seng Chan, Kuok Kei Law
Abstract
• Trust is the strongest predictor of ChatGPT adoption in assessments • Moral obligation is the strongest barrier of ChatGPT acceptance for assessment support • Perceived risk is a significant demotivator of ChatGPT acceptance but not a mediator between trust and use intention of ChatGPT in assessment • Recommending clear guidelines on responsible use of ChatGPT and university workshops about ethical AI adoption in assessments
Topics & Concepts
ObligationMoral obligationPsychologySocial psychologyRisk perceptionApplied psychologyPolitical sciencePerceptionLawNeuroscienceArtificial Intelligence in Healthcare and EducationPrivacy-Preserving Technologies in DataEthics and Social Impacts of AI