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    Generative AI in Teaching, Learning and Assessment: Issues and Opportunities

    Generative AI in Teaching, Learning and Assessment: Issues and Opportunities

    The rapid development and widening availability of generative AI tools to create and refine content presents a huge opportunity to re-assess some of the key foundational assumptions and practices behind the ways that our courses are designed and delivered.
    In this seminar, Dr Bates will share his views on educators’ obligations to engage with these issues, educate students (and ourselves) on the affordances and limitations of new and emerging AI tools, iteratively experiment in a space that is rapidly changing, and share the successes (and failures) of UBC colleagues.
    Dr Bates will also present some practical advice for different ways in which generative AI tools may be incorporated into teaching activities and assessments and outline ways in which UBC is gearing up to support instructors in these efforts.
    Event Date: 9/8/2023
    Presenter: Bates, Simon (Vice-Provost and Associate Vice-President, Teaching and Learning, Pro Tem, Professor of Teaching, Department of Physics and Astronomy, The University of British Columbia (UBC), Canada),
    Facilitator(s): Lo, Dawn (EDC), Chon, Leo (EDC)

    Subjects:
    Learning Analytics, Good Practices, and Assessment & Feedback
    Keywords:
    Artificial intelligence Educational tests measurements Generative programming (Computer science) Machine learning Artificial intelligence -- Educational applications
    Resource Type:
    Video