BILT Associate Projects
Applications for 2024/25 projects are now closed. Further details about 2025/26 funding will be announced in April 2025. Associate projects provide staff with the opportunity to work on specific projects defined by BILT and aligned to the University’s priorities. They offer the chance for staff to engage in educational research and in scholarship of learning and teaching.
- AI teaching and assessment
- Pedagogic research and Scholarship of Teaching and Learning (SOTL) culture
Benefits
Associate projects offer an opportunity to work with a range of colleagues on an institutionally important project and to make a real difference. Some projects will have the potential for dissemination beyond Bristol, and for publication.
Application cycle and process
Applications for 2024/25 are now closed. Visit the BILT SharePoint site for further details about Associate Projects, experience and skills requirements. Further details about the 25/26 projects will be announced in due course.
Project summaries for 2024-25
AI teaching and assessment
Team leads: Claire Hudson (Bristol Medical School) and Sarah Zaghloul (University of Bristol Law School)
Team members: Jessica Irving (School of Earth Sciences), Shan Hua (University of Bristol Business School) and Sam Bell (University of Bristol Business School)
AI is developing at pace, and the education sector faces a choice of how to engage with it. A full understanding of the risks and opportunities for teaching, learning and assessment - from the perspective of both teachers and learners - is essential for developing practice and for policy making that will maintain fairness without ignoring this important area of technological advancement.
In 23/24 BILT funded an Associate Project focused on exploring the support needs of academic staff and students in relation to AI and on briefing senior management. For 24/25 the Associate project team will build on this work to explore four areas:
- How can and should staff use AI in the design and development of their teaching? From class plans and to generating content, where is it appropriate to use AI when preparing teaching materials?
- How can and should staff use AI when conducting marking and producing feedback? Opt-in pilot programmes testing the use of different AI tools for marking and feedback will answer this question.
- How can we appropriately integrate AI into the classroom? What practice works well and supports our students’ AI skills development?
- How can we shape our assessments to be AI-proof, AI-resilient or AI-engaged?
Pedagogic research and Scholarship of Teaching and Learning (SOTL) culture
Team leads: Sally Dowling (Bristol Medical School) and Sheena Warman (Bristol Veterinary School)
Team members: Annika Johnson (School of Economics), Rachael Miles (School of Chemistry) and Thomas Sealy (School of Sociology, Politics and International Studies)
A key priority for BILT is to encourage the scholarship of learning and teaching and pedagogic research across the University. A number of pedagogic research groups exist across the university offering various levels of support to current and potential pedagogic researchers. BILT aims to work with these groups to develop and improve support open to all staff.
In 2023/24 BILT funded an Associate Research Project focused on exploring the support needs of academic staff engaging or wishing to engage in pedagogic research. For 2024/25 the Associate project team will build on this research by developing a central web space for pedagogic researchers, offering advice and support. This webspace is likely to include a combination of new and curated resources, and links to current research groups. This will involve working with current pedagogic research groups and other key actors.