2026 Schedule

Wednesday, May 27th, 2026 – Virtual Vendor Visits Via Zoom

10:00am – 10:30am  Noodle Factory

Thursday, May 28th, 2026 

8:30 am-9:45 am Workshops and Vendor Exhibits
9:45 am-10:00 am Break
10:00 am–11:15 am Keynote: Learning Endures, Tools Evolve: Teaching and Learning in the Age of AI
Thomas “TJ” McKenna, Ph.D.
Director, Center for STEM Professional Learning at Scale
Clinical Assistant Professor, Science Education
Associate Director, Educator Engagement and Impact, AI and Education Initiative
Boston University Wheelock College of Education & Human Development
11:15 am-12:25 pm Creating a Game Plan for AI in Teaching & Learning, facilitated by the Institute for Excellence in Teaching & Learning

In this interactive session participants, will begin crafting their own plan for AI integration, building on human-centered principles and research-based use cases from BU faculty.
12:25 pm-2:00 pm Lunch and Round Table Discussions
2:00 pm-2:05 pm Break
2:05 pm-2:50 pm Awards and Oral Presentations of Abstract Award Winners
2:50 pm-4:00 pm Poster Session, Networking, and Vendor Exhibits

Keynote:  Learning Endures, Tools Evolve: Teaching and Learning in the Age of AI  

AI is reshaping how we teach, learn, and practice, yet the foundations of how people learn remain constant. This keynote argues that meaningful progress in AI-enhanced health sciences education requires aligning new technologies with the long-standing learning theories that guide effective instruction. Drawing on cross-disciplinary work spanning STEM education, large-scale professional learning systems, and the design of human-centered AI for teaching and learning, the talk offers a clear, practical framework for integrating AI in ways that strengthen reasoning, deepen clinical judgment, and support high-quality teaching.

Rather than centering tools or technical skill, the session highlights the pedagogical decisions educators make every day and shows how AI can be used to extend—not replace—the intellectual work of learners and instructors. Participants will leave with concrete design principles and examples for bringing AI into their curricula in ways that are rigorous, responsible, and firmly anchored in how learning actually happens.

Thomas “TJ” McKenna, Ph.D.
Director, Center for STEM Professional Learning at Scale
Clinical Assistant Professor, Science Education
Associate Director, Educator Engagement and Impact, AI and Education Initiative
Boston University Wheelock College of Education & Human Development

Creating a Game Plan for AI in Teaching & Learning, facilitated by the Institute for Excellence in Teaching & Learning

As medical educators explore the affordances and limitations of AI, a key challenge is finding space to share and examine actionable strategies that can be implemented across teaching contexts. In this interactive session, we invite participants to (1) share their own strategies around the role of AI in the classroom, (2) and further develop their game plans for integrating AI into the objectives, assessments, and activities that drive learning.

To stimulate conversation, Caroline Brinkert, lecturer in BU’s Sargent College of Health & Rehabilitation, will share a brief case-study on transparent assignment design as a lever for equitable, evidence-based innovation in graduate education. Drawing on the Transparency in Learning and Teaching (TILT) framework and the AI Assessment Scale (AIAS), Brinkert’s case study responds to the need for clearer expectations around both learning and AI use. Participants will then have the opportunity to work in small groups to explore how these approaches might apply to their own courses, objectives, and assessments.

Benjamin Keating, Ph.D.
Assistant Director, Curricular Innovation
David Farelo, Ph.D.
Assistant Director, AI & Education
Erin Baumann, Ph.D., M.Sc.
Executive Director, Teaching & Learning Innovation