Generative AI in Teaching

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.

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On this page: UW–Madison guiding principles | AI syllabus statementsGuides | EventsCustomized support

Guides

NEW! 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

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.

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