Join us for our monthly reading group exploring generative AI in teaching and learning contexts. This is an informal discussion space for faculty, staff, and educational developers to engage with current research on GenAI in higher education. This event is hosted on the CTSI GenAI in Teaching and Learning Commons Teams Channel.
This Month’s Reading:
Chase, A. M., & Galvin, K. (2026). Thinking to Learn: Managing the Risks of Outsourcing to GenAI. Assessment & Evaluation in Higher Education, 1–20.
This article argues that educators need a structured framework for making principled decisions about when generative AI can ethically support assessment without compromising student learning. It proposes adapting Griffin’s developmental assessment model to guide educators in unpacking learning outcomes into observable indicators, then mapping these to the AI Assessment Scale to determine what cognitive work must remain student-driven. The framework reframes assessment integrity as a design challenge rather than a compliance issue, emphasizing that “whoever does the thinking gets the learning.”
How to Join:
- Read what you can of the article beforehand – no formal preparation required
- Bring your thoughts, questions, and reactions – all perspectives and levels of GenAI experience welcome
Join the CTSI GenAI in Teaching and Learning Commons Teams Channel: Open Microsoft Teams → “Join or create a team” → “Join a team with a code” → Enter code: 5uztctq - Participants are welcome to join the Teams Channel to stay connected with future sessions and ongoing discussions about GenAI in teaching and learning.