榴莲视频

CTL

AI Community of Practice - CTL

Mission Statement

The Center for Teaching and Learning's AI Community of Practice is a collaborative learning community that supports University of 榴莲视频 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. You don't need to be a member to attend our events. 

Goals 

    • Goal 1: Increase AI literacy among University of 榴莲视频 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 Event Dates  -- Open to All

 

Podcast Discussion & Share

Choose an episode. Press play. Join the conversation.

Wednesday, October 21 from noon-1 TEAMS

It鈥檚 like a book club鈥攂ut with less reading and more listening! Choose one of four AI-focused episodes of , listen before the online Teams meeting, and join colleagues for an informal conversation about artificial intelligence in teaching and learning. Choose from:

  • 鈥淏uilding a Culture of Academic Integrity in the Age of AI鈥� with Dr. Barrett Schwarz,
  • 鈥淟ost in Translation: Guiding Language Learning in the Age of AI鈥� with Dr. Errol O鈥橬eil,
  • 鈥淔-AI-R Play in the Classroom: Crafting Winning Syllabus Statements鈥� with Dr. Miriam van Mersbergen, or
  • 鈥淭he Questions We Forget to Ask About AI鈥� with Dr. Ted Macklin.

Click the button below for episode descriptions, links, and discussion questions.You'll be able to see this information before registering.

 
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
 

Prompt Writing with IgniteAI in Canvas

Tuesday, November 10 from 2-3 TEAMS 

This session will look at effective AI prompting as a way to speed up the process of creating courses. You will be able to immediately produce targeted quiz questions, custom rubrics, and discussion summaries in order to save hours of preparation while still having full control over your content.

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 having advanced notice about AI CoP events may . 


Past Events 

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! Open to all faculty & staff.

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

2025- 2026 

Book Club

Join us for a discussion of recent publication, 鈥淭he Fine Line between Digital Literacy and Academic Dishonesty in Online World Language Instruction鈥�. 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 expertise 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