HERDSA event: the impact of generated artificial intelligence on the landscape of higher education
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Join HERDSA Vic for a panel discussion on ‘Where to from here with artificial intelligence?’ – exploring higher education responses and addressing practical ways to use AI in our classrooms.
A/Prof Trish McCluskey, Director, Digital Learning, Deakin University
Trish McCluskey is an Associate Professor and Director of Digital Learning at Deakin University in Melbourne. Fuelled by a passion for innovation in learning and teaching she has led numerous teams to co-create accessible, engaging, and flexible educational experiences for students from all walks of life. This has led to multiple accolades including several national awards for excellence in teaching and leadership. Among her most notable achievements is the conception and leadership of the award-winning VU Block Model, a game-changing university curriculum framework that dared to challenge conventional wisdom within the Australian educational landscape. Twitter: @Trilia. LinkedIn: https://au.linkedin.com/in/trishmccluskey
Associate Professor Danny Liu, Deputy Vice-Chancellor (Education) Portfolio, The University of Sydney
Danny is a molecular biologist by training, programmer by night, researcher and academic developer by day, and educator at heart. A multiple international and national teaching award winner, he works at the confluence of learning analytics, student engagement, educational technology, and professional development and leadership. He is an Associate Professor in the Deputy Vice-Chancellor (Education) Portfolio at the University of Sydney, where he researches and leads staff across the institution in educational innovation, blended and online teaching, and the effective use of learning analytics and artificial intelligence to improve student learning and experience.
Student panel members:
Isabella Meltzer: Law and arts 1st year
Angad Chawla: Mechanical engineering and commerce 2nd year
Jack Quinlan: Software engineering and neuroscience 2nd year
Date: Thursday 1 June 2023
Time: 1–2pm EST