U-M Generative AI Use Cases

In physical therapy education, students traditionally develop their communication skills by interacting with standardized patients, often portrayed by actors, before engaging with real patients. While this method offers valuable…

Professor Anne Gere needed an efficient method to track down citations for her book, a task that can be time-consuming and tedious. Traditional methods of citation tracking were not sufficient to meet her needs for speed and…

Professor Sabine Gabaron aimed to enhance student engagement and improve the quality of student presentations in her French 280 and 232 courses. The challenge was integrating AI tools to foster creativity and individuality while…

The Engineering Advising Center aimed to enhance the availability and efficiency of academic services and support for first-year and undeclared engineering students. The challenge was to provide continuous, accessible academic advising…

In large courses with multiple graders, maintaining consistent grading quality and limiting scoring variance can be challenging. Professor Peter Bodary aimed to address these issues by developing a system that assists human graders in…

The Wolverine Learning Assistant addresses the challenge of making complex academic content more accessible and engaging for students at all levels of their educational journey across the University of Michigan's campuses. The goal is…

The LSA Newnan Academic Advising Center sought to improve accessibility and efficiency in student advising services, particularly in light of challenges such as the COVID-19 pandemic and the non-mandatory nature of advising. They aimed…

The U-M Maizey "Sandbox" addresses the need for round-the-clock assistance for both faculty and students. It aims to provide reliable and instant access to course-specific knowledge, thereby supporting students who miss classes,…