Kofinas, Alexander, Tsay, Crystal ORCID: https://orcid.org/0000-0003-4959-0411 and Pike, David (2026) Evaluating authentic assessments and academic integrity in the age of generative AI. BERA.

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Abstract

The rapid evolution of generative artificial intelligence (GenAI) technologies, such as ChatGPT and Claude, is prompting urgent reflections across the education sector. While much of the early discourse focused on concerns about plagiarism or cheating (Lee et al., 2024), there is a need to explore how GenAI challenges the core assumptions of assessment design – especially in higher education settings.

Item Type:	Other
Uncontrolled Keywords:	generative AI, academic integrity, authentic assessment, AI detection, assessment design
Subjects:	L Education > LB Theory and practice of education > LB2300 Higher Education Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Faculty / School / Research Centre / Research Group:	Greenwich Business School Greenwich Business School > Centre for Research on Employment and Work (CREW) Greenwich Business School > Executive Business Centre
Last Modified:	19 Feb 2026 12:37
URI:	https://gala.gre.ac.uk/id/eprint/52495

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