Session Outline
Technological advancements take time to diffuse through society and organisations – but can the same be said about generative AI? In this session, we’ll look at examples of how practices and strategies around AI have diffused through Australian schools and universities, through the lens of diffusion of innovations. We share lessons learnt from our experiences of trying to ensure the future of education is distributed more evenly to benefit all learners.
Speaker Profile
Professor Danny Liu | University of Sydney
Professor Danny Liu is a molecular biologist by training, programmer by night, researcher and faculty developer by day, and educator at heart. A multiple international and national teaching award winner, he is Professor of Educational Technologies at the University of Sydney where he co-chairs the University’s AI in Education working group and leads the Cogniti.ai initiative that puts educators in the driver’s seat of AI.
Lee Barrett | Prompt Engineer and AI Advocacy Project Officer | CEne
Lee is an experienced educator and advocate for innovative teaching practices, specialising in the integration of AI in education. She is a passionate educator with 23 years’ experience across a variety of sectors and in three countries. As the Prompt Engineer and AI Advocacy Project Officer at CEnet, Lee has helped lead the rollout of the cechat tool, collaborating with educators and tech designers to enhance classroom and organisational practices
Event Details
Event | Diffusing Technological Innovation: Distributing the Future of Education More Evenly
Date | Tuesday 8 September 2026
Time |4pm – 5pm
Location | The Learning Centre at Hills Grammar or Online
Register | Click here to register by 1 September