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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.
https://creativecommons.org/licenses/by-nc-nd/4.0/If you have modified or adopted this resource, share your version here. Tracking adaptations helps us measure impact and connects others with useful updates.
Teaching and Assessment for Learning Checklists aimed at early career & seasoned lecturers. The checklists provide guidance & reliable curated resources for lecturers who want to deliver an engaging and positive learning experience for their students. They act as a guide to check existing approaches, and help analyse how improvements can be made.
Team Tool is an open educational resource (OER) designed to support equitable,
e ective teamwork in higher education. It was developed in response to persistent
challenges in collaborative work, including uneven contribution, lack of
accountability and student dislike and anxiety around group projects.
This OER is targeted at lecturers and describes an inclusive framework to integrate artificial intelligence (AI) learning design at third level.
This report draws on Patricia Gibson’s research around critical approaches to Artificial Intelligence (AI) in Education and the increasing automation of Educational Technologies (EdTech).
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