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This resource provides the videos and PowerPoint presentations from the Navigating the New Frontier: Generative AI and Academic Integrity Conference.
Those wishing to learn about the debates, perspectives and ideas around the interplay between generative AI and Academic Integrity in October of 2024 will find this resource useful. It contains case study examples, insights into policy development, and explores the philosophical perspectives around generative AI and Academic Integrity in the HE sector.
Creative Commons Attribution-NonCommercial-NoDerivatives (CC BY-NC-ND)
This work is licensed under a CC BY-NC-ND license, permitting redistribution for non-commercial use with proper attribution but prohibiting modifications.
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This case study outlines a first-year intervention at SETU Waterford using a timetabled weekly session to tackle common causes of academic failure such as time management, assessment planning. and study skills. It is intended for programme teams seeking practical, low-resource approaches to improving student progression and retention.
This OER presents findings from a comparative study of novice programmers engaging in face-to-face and hybrid pair programming. It explores collaboration patterns, role switching, satisfaction, and challenges, offering evidence-based insights for educators seeking to prepare students for effective teamwork in modern hybrid software development.
This OER explores novice programmers’ experiences of pair programming across face-to-face, hybrid, and remote settings. It provides insights into collaboration, role switching, satisfaction, and challenges, helping educators and students understand how to effectively prepare learners for modern hybrid software development environments.
This OER guides students through human-in-the-loop software development, demonstrating how AI tools can be effectively supervised, refined, and integrated across the Software Lifecycle. Designed for computing educators and learners, it combines agile practice, teamwork, DISC awareness, testing, and critical reflection on human–AI collaboration.
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