Reimagining the first-year experience in MTU: Scaffolding academic integrity in a GenAI world
DOI:
https://doi.org/10.56433/bw5k7d21Keywords:
First Year Students, GenAI, Student Perceptions, Academic Integrity,Abstract
This On the Horizon paper presents the vision and development of the “MTU Ethical Learning with GenAI” project, a cross-institutional initiative that aims to address the ethical challenges and opportunities posed by generative artificial intelligence (GenAI) in higher education. Grounded in the principles of academic integrity and critical Artificial Intelligence (AI) literacy, the project builds on prior Strategic Alignment of Teaching and Learning Enhancement (SATLE) work at Munster Technological University and leverages evidence from a multi -disciplinary student survey, staff focus groups, and national academic policy networks.
This project introduces a multi-tiered strategy: updating Courageous Conversations guidelines, embedding GenAI and integrity-focused induction for first-year students, and evaluating GenAI’s role for first year students in tutoring within the Academic Learning Centre (ALC).
References
Al-Zahrani, A. (2023). The impact of generative AI tools on researchers and research: Implications for academia in higher education. Innovations in Education and Teaching International, 61, 1029 - 1043. https://doi.org/10.1080/14703297.2023.2271445
Cotton, D. R., Cotton, P. A., & Shipway, J. R. (2024). Chatting and cheating: Ensuring academic integrity in the era of ChatGPT. Innovations in education and teaching international, 61(2), 228-239. https://doi.org/10.1080/14703297.2023.2190148
Chan, C.K.Y., Zhou, W. (2023) An expectancy value theory (EVT) based instrument for measuring student perceptions of generative AI. Smart Learn. Environ. 10, 64 (2023). https://doi.org/10.1186/s40561-023-00284-4
Freeman, J. (2024). Provide or punish? Students’ views on generative AI in higher education. Higher Education Policy Institute: London, UK https://www.hepi.ac.uk/wp-content/uploads/2024/01/HEPI-Policy-Note-51.pdf
Freeman, J. (2025). Student generative ai survey 2025. Higher Education Policy Institute: London, UK. https://www.hepi.ac.uk/wp-content/uploads/2025/02/HEPI-Policy-Note-61-2.pdf
Grimes, D., M. Hurley, V. Morari, and J. O’Mahony. 2024. "Academic Integrity Differences across Faculties: A Student Survey." In 10th International Conference on Higher Education Advances (HEAd’24). Editorial Universitat Politècnica de València. https://doi.org/10.4995/HEAd24.2024.17312.
Malmström, H., Stöhr, C., & Ou, A. W. (2023). Chatbots and other AI for learning: A survey of use and views among university students in Sweden. Chalmers Studies in Communication and Learning in Higher Education, 1(10.17196). https://doi.org/10.17196/CLS.CSCLHE/2023/01
National Academic Integrity Network (NAIN). 2021. Academic Integrity: National Principles and Lexicon of Common Terms. https://www.qqi.ie/sites/default/files/2021-11/academic-integrity-national-principles-and-lexicon-of-common-terms.pdf
Panukhnyk, O. 2023. "Policy of Academic and Research Integrity in the Conditions of the AI Revolution: Formula of Interaction." Galic'kij Ekonomičnij Visnik. https://doi.org/10.33108/galicianvisnyk_tntu2023.05.185.
Peuker, S. (2024, June). Evaluation of the utilization of generative artificial intelligence tools among first-year mechanical engineering students. In 2024 ASEE Annual Conference & Exposition.
Saúde, S., Paulo Barros, J. o, & Almeida, I. (2024). Impacts of generative artificial intelligence in higher education: Research trends and students’ perceptions. Social Sciences, 13, 410. https://doi.org/10.3390/socsci13080410
Simon, S., Coelho, R., Marfisi-Schottman, I., & Pea, R. (2024). Generative AI tools in an undergraduate computer science program. In Proceedings of the 18th International Conference of the Learning Sciences-ICLS 2024, pp. 2133-2134. International Society of the Learning Sciences. https://repository.isls.org/bitstream/1/10900/1/ICLS2024_2133-2134.pdf
Stone, B. W. (2024). Teaching of Psychology, 52(3), 347–356. https://doi.org/10.1177/00986283241305398
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