Workshop Summary
The workshop examined AI’s transformative impact on higher education assessment practices, introducing a modified Perkins’ AI Assessment Scale that ranges from complete AI restriction to full integration. Given that AI capabilities now match or exceed student-level work across multiple domains including writing, coding, and critical analysis, the workshop emphasized the urgent need to adapt curriculum for workplace AI literacy. Implementation frameworks focused on balancing student privacy, ensuring equitable AI access, establishing ethical usage guidelines, and maintaining transparent AI policies. Practical applications demonstrated included Google LM for knowledge organization and AI tutoring tools, while future recommendations stressed the importance of identifying AI-free core skills alongside designing assignments that develop students’ AI evaluation abilities and field-specific integration competencies. The workshop’s core message centered on fostering transparent student-faculty discussions about AI use rather than attempting to control it, while thoughtfully redesigning assessments to reflect this new educational reality.
Workshop Resources
Session slides: Google Slides from the session. (Note the slides are licensed CC-BY-SA.
Session worksheet: Worksheet that includes session activities and resources.
Session bot Custom GPT that provides an interactive guide to the workshop. (Note: You will need to login to ChatGPT to use and will be limited to 10 queries in the free version).