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Panel on Teaching, Pedagogy, and AI in Engineering and CS
Researchers and instructors in UVic’s Faculty of Engineering and Computer Science have been implementing and reflecting on the role of generative AI in their courses for several years. In this panel, we will describe our experiences so far, including benefits and disadvantages, and initial results from formal in-class research studies we have conducted. There are potentially useful lessons for education beyond engineering and computer science disciplines.
Following short initial presentations, we will conduct a moderated discussion of the practical insights into the use of GenAI, the future of AI in university education, and its benefits and possible harms on our students.
Panelists
Tom Gleeson, Civil Engineering: “An AI literacy framework”
Quinton Yong, Computer Science: “AI and algorithmic thinking”
Margaret-Anne Storey, Computer Science: “Cognitive debt in Software Education”
Daniela Damian, Computer Science: “Leveraging AI for innovation”
Nathan Cassee, Computer Science: “Experiences using AI in software project courses”
Navneet Popli, Electrical and Computer Engineering: “AI and Engineering”
For more information or clarifications, please email nernst@uvic.ca.