HomeAnnotated BibliographiesGenAI The Impact of Generative AI on Academic Integrity of Authentic Assessments within a Higher Education Context Share: Section NavigationSkip section navigationIn this sectionAnnotated Bibliographies Affirming and Inclusive Engaged Learning for Neurodivergent Students Capstone Experiences Conditions for Meaningful Learning GenAI and Engaged Learning Global Learning Internships Learning Communities Learning on Location: Place-Based Pedagogies Mentoring Service-Learning Student-Faculty Partnership Supporting Neurodiverse and Physically Disabled Students Undergraduate Research Work-Integrated Learning Writing Transfer In and Beyond the University Reference List Entry:Kofinas, Alexander K., Crystal Han-Huei Tsay, and David Pike. 2025. "The Impact of Generative AI on Academic Integrity of Authentic Assessments within a Higher Education Context." British Journal of Educational Technology 56 (6): 2522-2549. https://doi.org/10.1111/bjet.13585.About this Journal Article: The study provides empirical evidence that certain forms of assessment (e.g., authentic assessment) are not a sufficient safeguard against inappropriate AI usage. It has helped continue to shape my view of how to design and integrate AI into a course in a way that reinforces learning instead of substituting away from it. Recommended by Jason Beasley.
