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Generative AI in Higher Education Assessments: Examining Risk and Tech-Savviness on Student’s Adoption

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August 1, 2025
Published Date

Research Abstract & Technology Focus

The integration of generative artificial intelligence (AI) tools is a paradigm shift in enhanced learning methodologies and assessment techniques. This study explores the adoption of generative AI tools in higher education assessments by examining the perceptions of 353 students through a survey and 17 in-depth interviews. Anchored in the Unified Theory of Acceptance and Use of Technology (UTAUT), this study investigates the roles of perceived risk and tech-savviness in the use of AI tools. Perceived risk emerged as a significant deterrent, while trust and tech-savviness were pivotal in shaping student engagement with AI. Tech-savviness not only influenced adoption but also moderated the effect of performance expectancy on AI use. These insights extend UTAUT’s application, highlighting the importance of considering perceived risks and individual proficiency with technology. The findings suggest educators and policymakers need to tailor AI integration strategies to accommodate students’ personal characteristics and diverse needs, harnessing generative AI’s opportunities and mitigating its challenges.
generative higher education assessments examining tech-savviness
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Generative AI in Higher Education Assessments: Examining Risk and Tech-Savviness on Student’s Adoption

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Generative AI in higher education: A global perspective of institutional adoption policies and guidelines

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What is the core focus of the research titled 'Generative AI in Higher Education Assessments: Examining Risk and Tech-Savviness on Student’s Adoption'?

This literature focuses on: The integration of generative artificial intelligence (AI) tools is a paradigm shift in enhanced learning methodologies and assessment techniques. This study explores the adoption of generative AI tools in higher education assessments by examining...

Are there open-source GitHub repositories related to Generative AI in Higher Education Assessments: Examining Risk and Tech-Savviness on Student’s Adoption?

Yes, open-source projects like opensquilla/opensquilla (OpenSquilla — Token-Efficient AI Agent with same budget, higher intelligence density) are actively building upon these concepts.

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Products like Mozart Studio 1.0 are bringing this to market. Their focus is: A Generative Audio Workstation with VSTs.

What other academic literature is closely related to 'Generative AI in Higher Education Assessments: Examining Risk and Tech-Savviness on Student’s Adoption'?

Yes, highly correlated activity was mapped. An entry titled 'Generative AI in Higher Education Assessments: Examining Risk and Tech-Savviness on Student’s Adoption' discusses this: The integration of generative artificial intelligence (AI) tools is a paradigm shift in enhanced learning methodologies and assessment techniques. ...

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