Explore Fundamentals
Faculty Use Cases
Faculty across Columbia University are experimenting with AI in their courses and reimagining their course policies, assignments, and activities to focus on student learning while transparently communicating expectations to their students about the use of generative AI.
Explore AI fundamentals
Browse CTL resources on teaching with AI, real-world use cases from faculty, ethical use guidelines, and Columbia-specific policies.
Ashli Carter
Lecturer, Discipline of Management, Columbia Business School
Teaching Language Courses with AI
Nicholas Figueroa
Lecturer of Spanish, Department of Latin American and Iberian Cultures
Teaching Market Research with AI
Kamel Jedidi
Lecturer in Business, Columbia Business School
Teaching Medicine with AI
Christopher K. Migliore
Assistant Professor of Medicine, CUIMC
Teaching Market Research with AI
Robert J. Morais
Lecturer in Business, Columbia Business School
Teaching Real Estate Finance with AI
Christopher Munsell
Glascock Associate Professor of Professional Practice, Real Estate Development Finance, GSAPP
Teaching Generative AI for Business
Olivier Toubia
Glaubinger Professor Business, Columbia Business School
Teaching Nursing with AI
Meghan Reading Turchioe
Assistant Professor of Nursing
Teaching Political Science with AI
Gregory Wawro
Professor, Department of Political Science
Teaching Public Health with AI
Gabriele Windgasse
Adjunct Faculty, Mailman School of Public Health
Looking for more resources on AI use in higher education?
We invite Columbia University faculty and graduate students to connect with the Center for Teaching and Learning (CTL) team to discuss how AI can be used purposefully and ethically in higher education. Schedule an in-person consultation with our team, visit our open Office Hours, or log in for our virtual chats to explore which AI tools align with your teaching goals and how to implement them effectively.