Communities of practice
Seminars, tutorials, AI lunches, and workshops where instructors share approaches to teaching with AI and learn from work in other subjects.
MIT AI Exchange
Adapting the education landscape in the context of AI — teaching with AI, teaching about AI, and its impact on learning.
The Learning Exchange helps instructors adapt courses and supports students in using AI responsibly. It works with departments and the Teaching and Learning Lab (TLL).
Faculty directors: Eric Klopfer and Sam Madden
Activities
Seminars, tutorials, AI lunches, and workshops where instructors share approaches to teaching with AI and learn from work in other subjects.
Teaching assistants work with faculty to develop AI-aware assignments and learning tools. Support includes revising course objectives, assessments, and reusable teaching materials.
Templates and examples help instructors set clear expectations for AI use in assignments, exams, projects, and other academic work.
Teaching resources help students understand AI tools, their limitations, and responsible use within their fields of study.
Activities support face-to-face learning and student connection, including opportunities to learn together away from screens.
MIT resources for course design, AI use, and citation.
The report of MIT's Ad Hoc Committee on AI Use in Teaching, Learning, and Research Training.
AI education updates for the MIT community.
Coming soon.