Join us for a collaborative session exploring how generative AI is reshaping teaching and assessment in higher education. Together, we will discuss Leon Furze’s AI Assessment Scale and consider how it might be adapted for an institutional context. We’ll also engage with Jiahui Lou’s (2024) article, "A critical review of GenAI policies in higher education assessment: a call to reconsider the ‘originality’ of students’ work," to ground our discussion in a critical academic framework. This session is open to all Lakehead University faculty and staff who are GenAI novices or experienced users - all input is welcomed and encouraged!

Session Outcomes:

By the end of this session, participants will be able to:

• Discuss the spectrum of AI use in assessment via the AI Assessment Scale.
• Reflect on Lou’s critique of originality and its implications.
• Examine how the AI Assessment Scale might be used at an institutional level.
• Identify supports needed for teaching and learning for effective AI Assessment Scale integration.

Pre-session Work:

Please come to the session having reviewed and read the following:

• Lou, Jiahui. (2024). A critical review of GenAI policies in higher education assessment: a call to reconsider the “originality” of students’ work. https://doi-org.ezproxy.lakeheadu.ca/10.1080/02602938.2024.2309963 (you may need to login to the Lakehead Library to access)
• Leon Furze’s AI Assessment Scale: https://leonfurze.com/2024/08/28/updating-the-ai-assessment-scale/