About the project
In this section, you will have the opportunity to meet the team behind the project, including the Student/Staff Project Participants who have contributed their expertise and dedication. Additionally, we would like to express our gratitude to all those who have supported this project through their contributions and guidance.
Please explore the links below to find specific information you are looking for on this page.
(AI)2ed: Academic Integrity and Artificial Intelligence
(AI)2ed is a National Forum Strategic Alignment of Teaching and Learning Enhancement (SATLE 2022) funded research project. It was carried out by the Skills Centre in order to develop guidance on the ethical use of generative AI tools in learning and teaching. Using ChatGPT as an exemplar of generative AI, we considered how it could be used as an assistive tool to improve learning rather than as a way to bypass key learning, leading to academic misconduct. Academic integrity was at the heart of this project as we sought to scope the threat that generative AI poses to assessment and what we can do to address this while also ensuring that students are prepared to critically engage with these tools which are continually being integrated across software platforms and into the workplace. This project used a students-as-partners approach, pairing students with academic staff across the four colleges in order to reimagine assessment in the face of ever advancing AI technologies. These staff-student working groups experimented with ChatGPT in relation to assessment in order to uncover approaches to mitigate against the risk of unethical AI use and to consider how best to integrate generative AI into learning activities and assessment design across disciplinary contexts in ways that enhance learning and maintain academic integrity.
The primary objective of the (AI)2ed project was to create the UCC Toolkit for the Ethical Use of Generative Artificial Intelligence, which has formed the content of this website.
Student-Staff Project Participants
Students | Staff |
---|---|
James Craig | Prof Joseph Feller |
Abi Hurley | Dr Ciara Fitzgerald |
Elaine Joyce | Dr Kim Keating |
George Lynch | Dr Mutahira Lone |
Princiya Machado | Dr Catherine O’Sullivan |
Alison McKeown | Dr Harriet Schellekens |
Dorcas Oyewande | Dr Joel Walmsley |
Jordan Percy | |
Evan Scanlan | |
Asma Zulfiqar |
Acknowledgements
- Some of the images used on this site were created using DALL-E 3 with prompts including “Over the shoulder image of a student using ChatGPT to study for an exam”, and “AI algorithm image on a student’s laptop computer”.
- The research that informed this toolkit was funded through SATLE (Strategic Alignment of Teaching and Learning Enhancement Funding in Higher Education) by the National Forum for the Enhancement of Teaching and Learning in Higher Education.
- Special thank you to all the student and staff participants who worked on this project.