AI Showcase
College teaching examples that engage with generative AI
Explore the AI Showcase, featuring a growing collection of innovative work from UW–Madison instructors that can be adapted across disciplines.
Do you have an example to share? Email ctlm@wisc.edu
Identifying learning patterns
An instructor uses AI to identify learning patterns to inform class discussion and future course design.
From Tom Beckman, College of Letters & Science
Rebuilding a flipped course with an AI avatar
An instructor and teaching technology specialists create an instructor avatar to more efficiently update course content that students view before class.
From Brian Mayhew, Wisconsin School of Business
Testing AI with peer evaluation
Students design, implement, and evaluate tests of an AI tool on tasks relevant to different careers.
From David McHugh, College of Computing and Artificial Intelligence
Marketing strategy assignment
Students use AI to generate a SWOT analysis, which they critique and complement using other analysis frameworks, culminating with an oral presentation.
From Milton Hwang, Wisconsin School of Business
Paraphrasing tools assignment
Students practice independently paraphrasing text and prompting an AI tool to improve the paraphrases, then assess the effectiveness of the AI’s output.
From Heidi Evans, College of Letters & Science
Discipline-driven approaches
Conversations within UW–Madison schools and colleges are helping define effective approaches to generative AI in teaching.
From College of Engineering and Schools of Human Ecology and Nursing
Career presentation assignment
Students do research for a short video presentation using AI and traditional information sources and assess the credibility and depth of the information provided.
From David Dwyer, School of Nursing
Team ethics presentation
A team of students researches a discipline-specific ethical problem in their field.
From Laura Grossenbacher, College of Engineering