Teaching with AI Resources
Student AI Use Scale for Graded Assignments
Effective July 24, 2025, all instructors of record must include an Artificial Intelligence (AI) policy statement in their course syllabus. And, effective Fall 2026, Faculty Council established a policy that instructors of undergraduate courses should be using the Student AI Use Scale for graded assignments.
The syllabus statement should clearly define expectations for AI use, including permitted and prohibited uses, attribution requirements, and academic integrity considerations.
Click here for a PDF with sample syllabus statements and transparency guidelines for student AI use, provided by the Provost’s Office.
See “XIV. Additions to the Faculty Handbook” for more detailed information.
Here is a downloadable PDF of a student AI use scale.
There will be many opportunities to learn more and discuss this scale with the Teaching for Learning Center team.
Please watch for those opportunities or request a consultation with one of ours AI Faculty Fellows.
Daily AI Labs
Starting Sept. 14, 2026 | 11 a.m.–12 p.m.
Visit with one of our AI Faculty Fellows about teaching with AI.
| Monday | Dr. Mannie Liscum, Professor, Biological Sciences |
| Tuesday Virtual |
Dr. Sharan Srinivas, Associate Professor and Director of Graduate Studies, Industrial and Systems Engineering |
| Wednesday Virtual |
Dr. Lea Wood, Associate Teaching Professor, Sinclair School of Nursing |
| Thursday | Dr. Sounak Chakraborty, Professor and Director of Graduate Studies, Statistics and Data Science |
| Friday | Dr. Steve Klien, Teaching Professor, Communication, Interim Assistant Director, T4LC |
Now Available for All Faculty - Show-Me AI

In case you missed it, Show-Me AI is available to all Mizzou faculty and students, providing a secure space to explore AI tools for teaching, learning, and productivity.
Catch a recording of a session held in August. Stay tuned for more learning opportunities.
Part 1: Overview
Learn the what and why of this powerful, protected environment for using AI at Mizzou. View a recording of this information here.
Part 2: Hands-On Workshop
This workshop focuses on the practical, “how-to” side of Show-Me AI. View a recording of this information here.
AI Critical Literacy Podcast
How should educators and students respond to the rapid rise of artificial intelligence? The Teaching for Learning Center’s AI Critical Literacy for Educators and Students Podcast Series features conversations with University of Missouri faculty, students, and experts about the changing role of AI in teaching and learning.
Across two seasons, the series explores academic integrity, ethical AI use, assignment and assessment design, creativity, student perspectives, and practical approaches for navigating AI in higher education.
Whether you are beginning to explore AI or looking for new ways to address it in your courses, the series offers practical ideas to help educators and students engage with AI critically, responsibly, and confidently.
Teaching Strategies & Reflections on AI — 2026 Edition

How can educators use artificial intelligence thoughtfully and effectively in their teaching? This new open-access collection from the Teaching for Learning Center, edited by Kevin Brown and Victoria (Tori) Mondelli, brings together practical strategies, classroom experiences, and critical reflections from educators across disciplines.
The eight featured articles explore backward course design, personalized feedback, ethical AI literacy, active learning, simulations, engineering education, healthcare education, and learner agency.
Whether you are beginning to explore generative AI or refining how you use it in your courses, this collection offers adaptable ideas and real-world examples to support effective, responsible, and student-centered teaching.
