What's Working? AI Assessment Transformation in Practice
Join us for a collaborative conversation that will explore how UQ academics are changing their assessment practices in response to AI.
Sue Monsen, Associate Lecturer, School of Human Movement and Nutrition Sciences, Faculty of Health, Medicine and Behavioural Sciences
How can AI enhance feedback while maintaining professional and ethical practice? Sue shares insights from her trials using AI to collate feedback for formative and summative assessment, highlighting its potential to reduce marking fatigue and streamline feedback processes. The presentation also explores students’ perceptions of the structure and quality of the feedback they received.
Dr Renee Mickelburgh, Lecturer, School of Communication and Arts,, Faculty of Humanities, Arts and Social Sciences
This presentation explores how educators can support students to make informed decisions about AI use in their writing through peer feedback and critical reflection. This presentation draws on a two-stage assessment design that uses guided in-class peer review and followed by a structured critical reflection task to encourage students develop a more considered understanding of responsible and effective AI-assisted writing for strategic communication. She will also share the results of an evaluation of the work produced through this approach.
About Lead through Learning (2025-2027)
This series of events supports Lead through Learning (2025-2027)—our whole-of-University strategy addressing the rapid rise of artificial intelligence in education.
The strategy has 2 main goals:
- Preparing students for responsible AI use. Equipping students with ethical, practical AI skills they can use in their studies, careers, and communities, and preparing them to lead and shape the future of AI integration in their fields.
- Maintaining the integrity of the learning process. Ensuring that academic standards are upheld through secure and credible assessment practices.