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UM3D

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Mission Statement

The UM3D AI Community of Practice is a collaborative learning community that supports vlog faculty and staff in exploring, evaluating, and applying artificial intelligence in teaching and learning. Through discussion, experimentation, and peer collaboration, members develop practical strategies for enhancing student learning while addressing the ethical, pedagogical, and institutional implications of AI.

Goals 

    • Goal 1: Increase AI literacy among vlog faculty and staff through ongoing professional learning and peer-to-peer knowledge sharing. (I feel informed) 
    • Goal 2: Support the development and dissemination of effective AI-enhanced teaching and learning practices through experimentation, reflection, and collaboration. (I feel equipped) 
    • Goal 3: Foster a cross-disciplinary network of faculty and staff committed to exploring the opportunities and challenges of AI in higher education. (I feel I am contributing) 
    • Goal 4: Provide a forum for faculty to share their concerns and recommendations. (I feel heard) 

Fall 2026 Meeting Dates

Listening Session

Thursday, September 24 from 2-3pm
McWherter Library, second floor Commons

Join us on Thursday, September 24 as we kick off the new semester with a listening session. Bring your ideas, concerns, and anything else you'd like to share with the group. We want to hear from you!

Goal #4: Provide a forum for faculty to share their concerns and recommendations
Modality: In person

Podcast Discussion & Share

Choose an episode. Press play. Join the conversation.

Wednesday, October 21 from noon-1
McWherter Library, second floor Commons

It’s like a book club—but with less reading and more listening! Choose one of four AI-focused episodes of The UM3D Podcast, listen before the meeting, and join colleagues for an informal conversation about artificial intelligence in teaching and learning. Exact episodes to be determined. 

Bring your lunch or coffee

 
Goal #3:  Foster a cross-disciplinary network of faculty and staff committed to exploring the opportunities and challenges of AI in higher education
Modality: In person
 

Canvas IgniteAI Tools Workshop

Tuesday, November 10 ONLINE

Canvas IgniteAI, an exciting and innovative set of tools seamlessly integrated into the Canvas LMS, is almost like having a TA for every course you teach. By incorporating itself into tools like SpeedGrader, quiz authoring, and discussion boards, IgniteAI streamlines administrative tasks, creates customizable course materials, and offers engaging study tools—all with a strong commitment to data security and instructor control. We'll showcase some of the more popular tools in ths workshop and show you how to access and use these tools in your own courses. 

Goal #2: Support the development and dissemination of effective AI-enhanced teaching and learning practices through experimentation, reflection, and collaboration.

Modality: Online

 

Join Us!

Be among the first to hear about our next event

Faculty and staff who are interested in attending AI CoP events may . 


Past Events 2025- 2026 

Book Club

Join us for a discussion of recent publication, “The Fine Line between Digital Literacy and Academic Dishonesty in Online World Language Instruction”. Errol has kindly agreed to join us, so bring your questions, experiences, expertise, and insights as we consider this highly relevant topic with applications for all disciplines! We will meet at the campus Starbucks.

Inductive, Inclusive, Iterative: Developing AI Literacy

What does it mean to build AI literacy when our disciplines bring such different forms of exptertise to the table? How can we move from curiosity about these tools to concrete teaching practice? Speaker Will Duffy. Noon -1 ERIC 306

Book Club

This semesters we're discussing Literary Theory for Robots: How Computers Learned to Write by Dennis Yi Tenen. Nov 21 9:30a @ Campus Starbucks.

Virtual Workshop

Generative AI in the Classroom: Using Khanmigo with presenters Trish Lange and Sarah Marshall.
Aug 21 1-2 Teams. 

Completed Projects

Generative AI Resources at the UofM webpage