Maine’s higher education institutions are coming together to address the rising cost of course materials and the fast-changing landscape of Generative AI. Join colleagues from UMA, UMaine, and UNE for a high-impact Learning Lab facilitated by Lance Eaton—an applied working session for faculty and academic professionals ready to move beyond the basics. Participants will design, adapt, or evaluate open educational resources (OER) using practical, AI-supported workflows, with Universal Design for Learning (UDL) embedded as a quality lens for accessibility, flexibility, and learner variability. Working directly on their own courses, programs, or processes, participants will collaborate across institutions to test multiple AI-supported OER approaches, compare strategies, surface risks, and identify scalable practices. You’ll leave with tangible OER artifacts, improved workflows, and a clear implementation plan you can put into action right away.

BYOD (Bring Your Own Device). Lunch provided for RSVP’d guests.

About the Facilitator:

Dr. Lance Eaton is the Senior Associate Director of AI in Teaching and Learning at Northeastern University. He has earned a Master’s in American Studies (UMASS Boston), Public Administration (Suffolk University), and Instructional Design (UMASS Boston). He completed his Ph.D. in Higher Education (UMASS Boston) with a focus on academic piracy and how scholars navigate the privatization of research literature in the 21st century. His work engages with the possibility of digital tools for expanding teaching and learning communities while considering the profound issues and questions that educational technologies open up for students, faculty, and higher ed as a whole. He has engaged with scores of higher education institutions about navigating the complexities and possibilities that generative AI represents for us at this moment. His musings, reflections, and ramblings on AI and Education can be found on his blog