The Institute for Excellence in Teaching & Learning offers a variety of events, programs, and workshops designed to support faculty in navigating conversations around and incorporating AI into their teaching and learning practices at BU.


Health Data Science & AI Showcase

The Center for Health Data Science at BU School of Public Health invites you to the Health Data Science & AI Showcase!

Join colleagues from across BU and beyond to explore innovative research in health data science, artificial intelligence, geospatial analytics, translational research and related fields, and discover opportunities for new collaborations. Complimentary lunch will be provided for registered participants. Learn more and register at the link below.

Collaboratively Discovering AI

In-Studio AI Jam

Do you have a lingering question about AI, or perhaps a "riff" of an idea for your classroom that you’re ready to amplify? Drop in for an open In-Studio AI Jam: Collaboratively Discovering AI session!

The first thirty minutes of each session will provide attendees with an overview of how large language models (LLMs) work and the basics of TerrierGPT and Google Workspace with Notebook LM. Whether you want to drop in for ten minutes to troubleshoot a specific prompt or stay for the full session to build a complete prototype with our team, the floor is yours.

This is your chance to get hands-on with Terrier GPT, explore new tools, and navigate the spontaneous, unstructured workflow of AI in a low-pressure environment. These sessions are open to all BU faculty and staff.

Live Listening Sessions on AI

Clearing the AIr

"Clearing the AIr" offers 90-minute, on-site listening sessions led by BU’s Assistant Director of AI & Education, during which faculty can discuss the opportunities and challenges of AI in teaching and learning in a collegial, high-empathy setting.

BU’s schools, colleges, and departments can receive tailored guidance, practical tools, and a shared framework that meet your faculty where they are and help shift classroom practice toward equitable, sustainable AI responsiveness.