Designing for Learning in the Age of AI with Danny Liu – October 12th 2026
How should programme, module, and assessment design evolve as AI changes how students learn, work, and demonstrate their capabilities?
Join Professor Danny Liu, University of Sydney, for a practical exploration of programme and module design in an AI-enabled world. The session will consider approaches to programme and module design; alignment between learning outcomes, graduate attributes, and assessment; clear communication of expectations to students; the growing challenge of cognitive offloading; and how we ensure students continue to develop and demonstrate the capabilities that matter.
Ahead of the academic review process, this is an opportunity to look beyond individual assessments and make informed, intentional decisions about the future design of our programmes and modules.
Biography
Professor Danny Liu is Professor of Educational Technologies at the University of Sydney and a leading international voice on the role of artificial intelligence in higher education.
Working at the intersection of AI, educational technology, student engagement, learning analytics, and curriculum innovation, Danny has played a central role in the University of Sydney’s response to generative AI and its approach to the redesign of learning and assessment. He co-chairs the University’s AI in Education working group and leads Cogniti, an AI platform designed to place educators in control of how AI is used to support student learning.
A molecular biologist by training, programmer by night, researcher and academic developer by day, and educator at heart, Danny brings a strongly practical and pedagogically grounded perspective to the challenges and opportunities AI presents for programme, curriculum and assessment design.
Cognitive Offloading, GenAI and the Future of Learning with Leon Furze – June 10th 2026
Drawing on recent research into cognitive offloading and its implications for education, this webinar explores the growing tension between performance and learning in an AI-enabled world.
While AI can enhance efficiency and output, it can also bypass the very cognitive processes that are the foundation of deep and meaningful learning.
Part of the TU Dublin & SETU Webinar Series
