Gen-AI: Transforming assessments in higher education
Are you assuming Gen-AI can’t handle certain types of assessments? Think again.
Explore the evolving landscape of generative AI in higher education through this insightful and thought-provoking video series from the University of Sydney, featured on the TEQSA website as part of the recommended resources on Gen-AI for academic staff.
Each video provides an insight into the capabilities of Gen-AI in student hands, challenging assumptions about AI-proof assessment. The series emphasises the importance of focusing on the learning process rather than just the final product, encouraging teaching staff to consider innovative ways of integrating AI into assessment strategies to enhance learning outcomes.
Generative AI and student learning
Time to watch: Approximately 10 minutes.
Dr Danny Liu delves into the myriad ways students might harness or misuse Gen-AI tools in assessments. His exploration offers some thoughts on how to address these challenges, providing valuable insights for educators navigating this new terrain.
Generative AI and reflective writing
Time to watch: Approximately 15 minutes.
Focusing on the implications of Gen-AI for reflective writing assignments, Dr Benjamin Miller examines how to maintain academic integrity whilst leveraging the potential of these tools.
Generative AI and multiple modalities
Time to watch: Approximately 10 minutes.
Professor Danny Liu takes us on a journey through the intersection of Gen-AI and multi-modal assessments. By showcasing AI tools capable of generating diverse content, from video to simulated oral assessments, he highlights the pressing need to rethink our assessment strategies.
These resources are designed to support the TeachWell Framework. The Framework describes five domains of educational practice: design, teach, assess, reflect, and contribute. Ability in these areas is further expressed as either core or extended capability. Find out more about the Framework and how to use it.
Page updated 29/05/2025 (swapped featured images for embedded videos)