Navigating the AI-Education Nexus: Mitigating Academic Integrity Challenges in the Era of Generative AI

Authors

DOI:

https://doi.org/10.22554/3e0x1n51

Keywords:

Academic Integrity, Generative AI

Abstract

Generative AI is reshaping teaching and assessment in higher education, but its capacity for misuse raises new concerns about academic integrity. This study examines approaches that higher education educators can take to safeguard honesty in students’ academic work while also harnessing AI to enrich learning and evaluation. Based on a systematic literature review (SLR) method, this study identified five interconnected strategic themes: (1) Policy and Guidelines for AI in Education; (2) AI Education and Training; (3) Attitudes towards GenAI in Education; (4) Transparency, Communication, and Engagement; and (5) Assessment Design and Format. These elements are integrated into a holistic conceptual framework that connects capability development, cultural transformation, and structural safeguards, and presents practical guidance to address key academic integrity challenges. Our findings show that isolated efforts by academics are not enough, and only an integrated, values-led approach can maintain assessment integrity, foster critical and creative skills, and prepare graduates for workplaces increasingly shaped by AI.

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Author Biography

  • Marian Carcary, Mary Immaculate College

    Marian is an Assistant Professor in Business at Mary Immaculate College (MIC). Prior to this post, Marian worked as senior lead researcher with the Innovation Value Institute, Maynooth University, with responsibilities for managing the IVI research agenda. She lead a number of projects associated with the development of a globally adopted IT management framework (IT-CMF) and was co-editor and co-author of ‘IT-CMF: the body of knowledge guide’. Marian has also worked on a number of projects on behalf of the European Commission Directorate General of Enterprise and Industry, specifically in the areas of ICT professionalism and e-skills. Marian has also previously taught in the University of Limerick and was a member of Faculty in Limerick Institute of Technology. She has a First Class Honours BBS in Business Computing, an MSc by research in Information Technology and a PhD, both of which were funded by Irish Research Council for Science, Engineering and Technology (IRCSET) scholarships. She has widely published in the proceedings of international conferences and in peer reviewed academic journals.

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Published

10-04-2026

Issue

Section

Original Research (Extended Report)

How to Cite

Buckland, P., & Carcary, M. (2026). Navigating the AI-Education Nexus: Mitigating Academic Integrity Challenges in the Era of Generative AI. Irish Journal of Technology Enhanced Learning, 9(1). https://doi.org/10.22554/3e0x1n51

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