Summer can be a great time to pause, reflect on what we have been experiencing as educators, and think about what we would like to do differently. Join our summer book club to explore teaching and learning in the context of AI while striving to maintain evidence-based inclusive teaching practices.
The authors are both STEM faculty. One is a mathematics professor, one an adjunct in family medicine. They come to this conversation not as “AI evangelists” but as educators who have been doing this work for a long time and are asking genuinely: where does what we already know meet this new(ish) reality? Where does AI disrupt our practice, and where might it actually enhance it? And how do the educational frameworks we know, e.g., backward design, TILT, UDL hold up?
We will read, discuss, and solve all of higher education’s issues about AI together… OK, fine. We probably won’t probably get to that, but we will try to figure out a more hopeful path forward together.
Book: The Science of Learning Meets AI: A Practical Faculty Guide to Purposeful Integration, Student Engagement, and Ethical Practice by Lewis D. Ludwig and Todd D. Zakrajsek (books will be provided by TIDL for participants to keep, at no cost)
Outcomes:
- Identify connections between evidence-based teaching frameworks and emerging AI integrated practices
- Reflect on teaching practices and ways in which they can be modified in the upcoming year
- Facilitate a collegial discussion on a challenging topic
Facilitator:
Laura Soracco, English faculty and EdTech Faculty-in-Residence
Deliverables:
Each participant will be responsible for facilitating a discussion around one of the book’s chapters. Participants will be provided a guide and a shared space, and you’ll be the one who comes in with questions and insights to move our conversation in any way that gets us thinking and talking.
Modality:
Online