Faculty voices
Harvard GenAI Library for Teaching and Learning
The videos in this library, created by the Office of the Vice Provost for Advances in Learning (VPAL), explore the myriad ways Harvard faculty use generative AI tools to support and enhance teaching, learning, and research. Scroll through the video pages below or filter by topic to learn more.
VPAL welcomes Harvard faculty, staff, and students to submit a request to record a video demonstrating how they have experimented with generative AI in their classrooms and/or coursework via this brief survey.
29 posts
Andrew Beam: GenAI for improving grant writing
Iavor Bojinov: Data analysis for non-coders
Molly Brady: Creating novel legal problems for classes
Michael Brenner: Learning by teaching chatbots
Jeffrey Bussgang: Enhancing student course preparation
Liao Cheng: Exploring the role of AI in education
Stephen Chong: GenAI as a peer learner
Jacob Cook: Using GenAI to reduce plagiarism
Louis Deslauriers: Understanding student learning in real-time
Maria Dikcis: Appreciation for the human perspective
Jose Luis García del Castillo y López: Augmenting the design processes and enhancing the creative process
David Dockterman: Harnessing GenAI as a collaborative tool in educational problem-solving
Sharad Goel: Building an AI Slackbot to tutor students
Rem Koning: Using ChatGPT to assist with feedback
Dan Levy: Understanding student learning in class
Nicole Mills: Using GenAI to create interactive games
Daniele Olveczky: Using GenAI images as teaching tools
Adrienne Phelps-Coco: Preparing students for AI in course design
Adam Rodman: Enhancing the decision-making processes
Todd Rogers: Teaching effective written communication skills
Jane Rosenzweig: Cultivating critical perspectives on GenAI in education
Richard Schwartzstein: Enhancing analytical reasoning
Marc Succi: Using scenarios to bridge the gap from textbook to practice
Teddy Svoronos: Using AI to create unlimited practice problems
Tari Tan: Effective use of AI in teaching and design
Charles Waldheim: Using AI to analyze and interpret large data sets
Mitchell Weiss: Using GenAI to practice solving real-world problems
Bill Wisser: Practical applications of GenAI in the classroom
