Enhancing Cross-Disciplinary Collaboration: Co-creating AI Skills Enhancement Resources through Student-Staff Best Practice Sharing Sessions
Lead institution: Queen Mary University of London
Country: United Kingdom
Project primary contact: Xue Zhou (xue.zhou@qmul.ac.uk), Reader in Entrepreneurship and Innovation
Additional contacts: Joanne Zhang, Lilian Schofield, Lesley Howell and Aisha Abuelmaatti
Project Title: Enhancing Cross-Disciplinary Collaboration: Co-creating AI Skills Enhancement Resources through Student-Staff Best Practice Sharing Sessions
The project is: in progress
Project Summary:
The emergence of ChatGPT and other AI-powered tools has revolutionised Higher Education Institutions, prompting discussions about their influence on learning and assessment (Cotton et al., 2023: Strzelecki, 2023). Queen Mary University of London (QMUL) has actively contributed to this discourse, specifically focusing on the implications of ChatGPT in learning and assessments, raising critical concerns, such as skills gaps and unequal access and knowledge in its implementation (Zhou & Schofield, 2023). Several issues have arisen due to the lack of comprehension regarding using AI-powered tools and their ethical implications.
Therefore, the key issue to be addressed is bridging the above-mentioned gap by organising a skills enhancement initiative co-created with students. The project aims to enhance student and staff AI skills through a series of best practice sessions. The output from the best practice sharing sessions would be an AI evidenced-based resource that would be shared in the staff repository site and QM Academy case study.
Impact: To improve staff AI proficiency by fostering collaborative efforts between staff and students through an interdisciplinary co-creation approach.
Audience: The project is intended to have an impact on both staff and students by enhancing their AI skills through collaborative and interdisciplinary efforts.
This output is part of a member project - AI Garage: Creating the Future Now which collects and curates cutting-edge practice examples of AI. You can explore other submissions here.