The Maple League Teaching and Learning Committee in collaboration with StFX Centre for Online Learning & Professional Studies warmly invites you to our next Maple League & StFX Online Host event: GenAI in Higher Ed: A Primer and Lessons Learned with Dr. Christian Muise, Queen’s University.

 

When: Wednesday, Feb 4th, 3:00-4:30pm(AT)

 

Where: Live on Zoom – Register here

 

Description: Generative Artificial Intelligence (GenAI) has rapidly shifted from a research curiosity to a widely used technology influencing how we write, create, learn, and make decisions. This talk will offer a high-level introduction to both traditional AI, as well as GenAI, along with some of the many challenges it poses to higher education and use more broadly. We will cover common education-oriented use cases for GenAI, such as support for lesson planning, creative expression, personalized learning, and formative feedback, and also examine the key risks and challenges, including biased outputs, hallucinations, energy and resource use, and the cognitive impacts of over-reliance on AI by both students and instructors.

Rather than offering simple solutions, we'll explore both the pros and cons of the technology, and see several examples of where it has been successfully integrated into higher education, as well as those cases where it has failed to live up to the promise. No prior knowledge of GenAI is required, and there will be ample opportunity for discussion.

 

Christian Muise is an Assistant Professor in the School of Computing at Queen’s University, where he leads a research group focused on Artificial Intelligence. Dr Muise serves as the Computing Academic Co-Director for the Masters of Digital Product Management, and he is a Faculty Affiliate with the Vector Institute for Artificial Intelligence. A dedicated educator and recipient of multiple teaching awards, including the Howard Staveley Teaching Award and the Queen’s University Principal’s Educational Technology Award, Dr Muise teaches courses spanning logic, artificial intelligence, automated planning, and deep learning. Beyond the classroom, he chairs the departmental sub-committee on Generative AI in Computer Science Education as well as serves on the Queen's University Strategic AI Subcommittee on Teaching & Learning, guiding policy and practice on AI’s role in learning. He also collaborates with Queen’s Centre for Teaching and Learning and the Limestone District School Board to explore how generative AI is shaping education from K-12 to advanced university courses.