Time: 2:00 PM – 3:15 PM
Location: McKinley 100
Presenters: John Heath (Adjunct Senior Professorial Lecturer, SIS | SIS Faculty), Liz Suhay (Professor, SPA | Government), Sonja Walti (Senior Professorial Lecturer, SPA | Public Administration and Policy / Faculty Associate), Kate Wilson (Hurst Senior Professorial Lecturer, CAS | Literature), & Katherine Mahajan (Instructional Technology and AI Manager | CFE)
Session Description:
As we try to design fair and effective assessments in an era of ubiquitous AI-use, “old” practices like closed-books tests, oral examinations, and blue-books are having a comeback. This panel showcases examples of such practices while discussing their promises and limitations.
Learning Outcomes:
- Recognize both the needs and limitations of combating cheating through AI-misuse
- Develop a critical understanding of the promises and limitations of “old” assessment practices applied to curb AI-(mis)use
- Decide about and, if appropriate, revitalize such assessment practices in a fair and AI-conscious manner

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