About the Community
Critical Conversations on Generative AI and Higher Education is a monthly, cross-campus Community of Practice (CoP) for instructors and instructional staff who are navigating the evolving role of AI in their teaching. This community offers space to explore, question, and learn alongside colleagues across U-M—helping educators stay grounded in their pedagogical values while adapting to new technological realities.
The phrase “critical conversations” reflects our balanced approach—rooted in critical pedagogy and intergroup dialogue—that encourages open, evidence-based exploration of AI’s implications for higher education.
Through engagement and reflection, participants share diverse perspectives, embrace productive tension, and connect questions of technology to the core values of teaching and learning. Each conversation invites inquiry and shared meaning-making to support reflective innovation.
Community Goals
- Engage in dialogue about GenAI’s role in higher education and impacts on student success.
- Build confidence and connection among instructors navigating AI’s challenges and opportunities.
- Share concrete strategies and examples that enhance student learning and engagement.
- Examine issues of bias, access, and academic integrity to advance equity and ethics.
Session Structure & Details
Each 90-minute virtual session centers on a key topic and typically includes short framing remarks, a focal activity (such as a faculty spotlight, panel, or demonstration), and opportunities for small-group discussion and collective reflection. You can join once or return monthly—each session stands alone while contributing to an ongoing community conversation. Please note that you’ll need to register separately for each monthly session, as individual links will be provided for each event.
Participants will have the option to join the MCommunity group for continued dialogue and sharing of resources between sessions.
Accessibility: Auto-captioning is available. Contact us for additional accommodations.
| Session Date | Time | Registration Link |
|---|---|---|
| January 26, 2026 | 2:00 pm - 3:30 pm | Register for January 26 |
| February 23, 2026 | 2:00 pm - 3:30 pm | Register for February 23 |
| March 23, 2026 | 2:00 pm - 3:30 pm | Register for March 23 |
| April 20, 2026 | 2:00 pm - 3:30 pm | Register for April 20 |
