This session explores when Universal Design for Learning (UDL) meets Artificial Intelligence (AI). We will demonstrate applications of AI in designing tasks for diverse learning abilities while enhancing accessibility, engagement, and learning outcomes. Participants will engage in case study discussions highlighting UDL principles and solve them with AI tools.
Extended Abstract
Join us as we unlock the potential of Artificial Intelligence (AI) in inclusive education! This session will explore when Universal Design for Learning (UDL) meets AI - showcasing how AI can be used to address the needs of our learners. We will demonstrate practical applications of AI in designing learning tasks that cater to diverse learning skills and abilities while enhancing accessibility, engagement, and learning outcomes. Throughout the session, participants will engage in interactive polling and case study discussions highlighting UDL principles and discover ways to solve them with AI tools. Key takeaways from the session include understanding the potential of integrating AI into inclusive education teaching and learning practices for optimal experiences and practical knowledge of how AI tools can be used to design learning content and tasks that accommodate diverse learning preferences.
Presenting Speakers
Analisa McMillan, PhD
Director of Distance Learning at University of Nebraska Medical Center
Tanya Custer, PhD
Associate Professor at University of Nebraska Medical Center
Peggy Moore, MSEd
Director of E-Learning, Assistant Professor College of Allied Health Professions at University of Nebraska Medical Center
Kim Michael, PhD
Director, Diagnostic Medical Sonography Education at University of Nebraska Medical Center
When UDL Meets AI: Unlocking Inclusive Education's Potential
Track
Equity, Access, and Inclusion in Digital Education