502: AI-n’t Cheating: Effective Pedagogy, Academic Integrity and the Unpredictable in Predictive Technology

    Location: McKinley 201 (Forman Theater) or Join this session virtually

    Presenters: Cynthia Potter (Senior Professorial Lecturer, Health Studies), Alison Thomas (Assistant Dean for Academic Integrity), Krisztina Domjan (Professorial Lecturer, Global and Immersive Studies) & Michele Lansigan (Hurst Senior Professorial Lecturer, Chemistry)

    Time: 9:15 AM – 10:30 AM

    Session Description 

    In this session we will lead a discussion on pedagogical strategies for using generative AI tools and how we manage academic integrity in this new world of predictive technologies. We will use examples from our classes, spanning a variety of fields and disciplines. We will also conduct live demonstrations of AI to equip audience members with tools to use in their classes.

    Learning Outcomes

    • Design assignments that integrate generative AI tools in different writing applications (e.g. research reports, lab reports, policy analysis and creative writing)
    • Describe how academic integrity can be expressed in the context of AI use
    • Evaluate, with your students, the limitations of AI (e.g. sources of bias, misinformation, and loss of creativity and problem-solving skills)

    Watch a short introduction to the session topic:

    Session Materials

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