Our students need knowledge, skills and experiences to help them thrive in a world powered by generative AI
Generative AI is at our fingertips and rapidly maturing. Keeping pace with the technical landscape, emerging capabilities, and new integrations will be a challenge but is essential, especially at a Research 1 university.
To participate in a complex and dynamic society that will increasingly depend upon AI, UW–Madison students will need skills such as prompt engineering, problem-solving, bias detection and intellectual curiosity. At the same time, they will need emotional intelligence, flexibility, and the ability to collaborate with humans and machines.
CTLM recognizes that there are a wide range of views about the use of generative AI in teaching. 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 individual teaching and learning contexts.
Please contact us if you have questions, comments or additions to this page.
On this page: UW–Madison guiding principles | AI syllabus statements | Guides | Events | Customized support
Teaching Q&A: Taking the plunge with generative AI
Nathan Jung, teaching faculty in the Program for Engineering Communication, shares how he incorporates AI in his teaching and offers suggestions for getting started.
Smart choices: Why UW–Madison’s enterprise AI tools should be your go-to
Before you reach for “free” public AI services, take a moment to discover why the university’s enterprise AI tools are the smarter choice for your academic and professional needs.
New guidance on AI meeting tools and student privacy
UW–Madison Guiding Principles
The university recommends instructors follow these 6 principles when approaching generative AI in the classroom.
AI Syllabus Statements
It's important to share your expectations for AI use with your students. Your syllabus is a great place to start.
Guides
AI Prompt Cookbook
If you’re curious about how you might use generative AI in your teaching, this cookbook is a great place to start. It’s got recipes to create and organize course content, brainstorm assignments and activities, and more.
Planning AI Use in Your Course
Thinking about giving AI a try?
Consult this step-by-step approach to considering whether a potential use makes sense in your course context. You can also download it as a handout.
Getting Started
- Intro to AI in Teaching – Covers potential uses and concerns as well as campus AI tools and policies.
- Exploring AI in Teaching – Discusses how AI can enhance learning and how to address academic integrity.
Events – Exploring AI in Teaching
Summer Reading Sessions - June 11, 18, 25
A light lift, high-impact discussion series exploring how AI is reshaping teaching and learning. Each session will center on a short journal article or podcast episode, offering space to connect, reflect, and imagine what's next.
Perspective-taking & Productivity - June 27
Ben Rush (Radiology) will share how generative AI can be used to gain insights and efficiently create actionable plans for course design and implementation. He will share examples, discuss prompt engineering principles, and demonstrate brainstorming and real-time problem solving with Copilot and ChatGPT.
Improving Communication - July 30
Discover how AI tools can help you employ plain language – clear, concise communication – to enhance student understanding, promote equity, and improve course materials. You will learn to use AI to write straightforward instructions for complex assignments and to communicate effectively with students who are not yet fluent in the language of your discipline.
Customized support
CTLM provides generative AI support that is tailored to the questions, interests, and needs of academic departments as well as individual instructors. If you’re curious about AI but unsure whether or how to get started, please contact us! We offer one-on-one consultations, customized deparmental workshops, and more.
