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

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Technology Adoption and User Behaviour Artificial Intelligence in Education Academic integrity and plagiarism

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

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1991The theory of planned behavior 2003Common method biases in behavioral research: A critical review of the literature and recommended remedies.2003User Acceptance of Information Technology: Toward A Unified View1 1988On the Evaluation of Structural Equation Models 2012Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology1 1981Structural Equation Models with Unobservable Variables and Measurement Error: Algebra and Statistics 2015Common Method Bias in PLS-SEM 2003Trust and TAM in Online Shopping: An Integrated Model1

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