Generative AI in teaching & learning
Guidance, resources, and events to help instructors engage thoughtfully with AI tools and their impact on learning.
CTLM’s generative AI support is tailored to the questions, interests, and needs of academic departments as well as individual instructors. Contact us to request one-on-one consultations, customized departmental workshops, and more.
Our approach
UW-Madison students need knowledge, skills, and experiences to help them thrive in a world powered by generative AI. CTLM recognizes that there are differing views about the use of generative AI in teaching, as well as about AI’s broader social, environmental, and economic impacts. We do not take a position on whether instructors should use AI. Rather, we support instructors in exploration, understanding, and thoughtful use or non-use of AI in ways that best serve their teaching and learning contexts.
Key resources
AI Showcase: Discipline-driven approaches
Conversations within UW–Madison schools and colleges are helping define effective approaches to generative AI in teaching.
UW-Madison AI tools & policies
These tools are available for free and provide higher data security and privacy protection.
AI syllabus statements
It’s important to share your expectations for AI use with your students. Your syllabus is a great place to start.
Promoting academic integrity
Consider these approaches for promoting academic integrity and responding if a student may be using AI inappropriately.
Planning AI use in your course
Consult this step-by-step approach to determine whether a potential use of AI makes sense in your course context.
Meet the AI Teaching Fellows
19 instructors from across campus are creating a collaborate space to engage with and respond to AI in their teaching.
Events
Exploring AI in Teaching is an event series for instructors who seek to expand their knowledge, develop practical skills, and explore the opportunities and limitations of generative AI in teaching and learning. Sessions take place on Zoom.
Emily Laird, M.S., a nationally recognized expert on AI integration in higher education, returns to highlight the most significant changes over the past year. She and CTLM’s Janet Staker Woerner, Ph.D., will provide updates on the major AI platforms, review what’s showing up in classrooms, and identify practical next steps you can take as you plan for the next semester.
Emily Hall, Ph.D., Distinguished Teaching Professor and director of Writing Across the Curriculum, will share strategies for creating clear, purposeful writing assignments that align with course outcomes, communicate expectations for AI use or non-use, and encourage authentic student engagement. You will leave with ideas for structuring writing tasks, revising assessment approaches, and making intentional decisions about whether AI should be integrated, limited, or not used at all in specific contexts.
AI can be a useful tool to help you scaffold student learning. Explore how you can leverage AI to create problem sets to support your teaching. We’ll also discuss how you can guide students in using AI to generate their own practice problems.
This is a collaborative workshop – if you have an existing assignment you’d like to redesign to use AI or an idea for a new AI-related assignment, bring it! Together, we’ll brainstorm approaches and provide feedback you can put into action.
- Discuss AI-related expectations to incorporate in your syllabus, assignments, and assessments
- Consider how to respond if you believe AI may have been used inappropriately.
Whether or not you plan to incorporate generative AI in your teaching, it is critical to establish and share your expectations for AI use with students. In this session, featuring Pajarita Charles, Ph.D. (Social Work) we will: