About this event
Join us on Dec 3 at 11 am EST / 4 pm GMT for an engaging session with Carolyn Williams, Assistant Professor at the University of North Dakota and an InteDashboard user. Carolyn will share how she leverages InteDashboard in her Team-Based Learning approach to teach legal writing and foster more active, collaborative learning among law students.
She’ll also reflect on her transition from using IF-AT scratch-off cards to a digital platform, highlighting what changed and what improved. The session will offer valuable insights for educators exploring more efficient, scalable ways to implement TBL.
Attendees will have the opportunity to ask Carolyn questions and hear directly from her experience of applying TBL in law education. This event is tailored for deans, educators, pedagogy advisors, instructional designers, and anyone interested in TBL or considering a shift from paper-based tools to digital solutions.
About the Facilitator
Carolyn Williams
Carolyn Williams is an Assistant Professor of Law at the University of North Dakota School of Law, where she teaches a variety of legal research and writing courses. A nationally recognized leader in the legal writing community, she serves as a Director and Treasurer of the Legal Writing Institute and authored the 7th Edition of the ALWD Guide to Legal Citation. Professor Williams is a longtime proponent of team-based learning and received an Association of Legal Writing Directors Teaching Grant to develop innovative TBL materials that have been adopted by other law schools. In recognition of her excellence in teaching, she received the 2023–24 Randy H. Lee Faculty Teaching Award from UND Law and was named the 2025 Association of American Law Schools Teacher of the Year for the University of North Dakota. She also co-founded the Legal Writing and Generative AI Conversation Group, which now includes more than 500 law professors nationwide who meet monthly to discuss the evolving role of AI in legal education. Her scholarship focuses on legal androgogy, critical reading, accommodations in law school, and generative AI.
