Artificial intelligence (AI) and academic integrity: mitigating the risks and fostering the ethical integration of AI with inclusive assessment design
| dc.contributor.author | Ryan, Marie | en |
| dc.contributor.author | Goff, Loretta | en |
| dc.date.accessioned | 2025-10-22T13:51:30Z | |
| dc.date.available | 2025-10-22T13:51:30Z | |
| dc.date.issued | 2023 | en |
| dc.description.abstract | This study explores the dual challenge of maintaining academic integrity while ethically integrating artificial intelligence (AI) in higher education through inclusive assessment design. As AI tools like ChatGPT, Bard, and Microsoft Copilot reshape educational landscapes, this research demonstrates how a student partnership model can effectively mitigate risks while fostering ethical AI use. Implemented at University College Cork (UCC), the approach positions students as co-creators of authentic assessments, resulting in significant improvements in both academic integrity understanding and learning outcomes. The intervention yielded measurable impacts: average grades improved to 60% for multiple-choice questions, 80% for WhatsApp video assignments, and 70% for article reviews. The student partnership model cultivated a heightened sense of agency, connection, and long-term engagement among learners. Key innovations included reducing the weight of traditional MCQs, incorporating WhatsApp/media assignments, and integrating current newspaper/article reviews. The findings indicate that inclusive assessment design successfully creates a stronger sense of inclusion and connection, greater engagement opportunities, enhanced creativity, and positions students as lifelong learners. This framework offers a systematic structure for consciously planning learner variability while demonstrating real-world comprehension, providing a replicable model for institutions navigating the ethical integration of AI in academic settings. | en |
| dc.description.status | Peer reviewed | en |
| dc.description.version | Accepted Version | en |
| dc.format.mimetype | application/pdf | en |
| dc.identifier.citation | Ryan, M and Goff, L. (2023) ‘Artificial intelligence (AI) and academic integrity: mitigating the risks and fostering the ethical integration of AI with inclusive assessment design’, National Academic and Research Integrity Conference (NAIN), Galway, 4-6 October 2023. | en |
| dc.identifier.uri | https://hdl.handle.net/10468/18071 | |
| dc.language.iso | en | en |
| dc.publisher | University College Cork | en |
| dc.relation.ispartof | National Academic and Research Integrity Conference (NAIN), Galway, 4-6 October 2023 | en |
| dc.rights | © 2023, the Authors. | en |
| dc.subject | Artificial intelligence in education | en |
| dc.subject | Academic integrity | en |
| dc.subject | Inclusive assessment design | en |
| dc.subject | Student partnership | en |
| dc.subject | Authentic assessment | en |
| dc.subject | AI ethics | en |
| dc.subject | ChatGPT | en |
| dc.subject | Co-creation model | en |
| dc.subject | Higher education | en |
| dc.subject | Learner engagement | en |
| dc.subject | Formative assessment | en |
| dc.subject | Digital learning transformation | en |
| dc.title | Artificial intelligence (AI) and academic integrity: mitigating the risks and fostering the ethical integration of AI with inclusive assessment design | en |
| dc.type | Conference item | en |
