Scaffold Success: AI for UDL as an Equity Engine
What if AI could become an equity engine rather than a classroom challenge? This interactive session explores AI through the lens of Universal Design for Learning and shows how educators and students can use AI tools to reduce barriers, customize instruction and scaffold executive functioning. Using a co-designer model, learn how to explicitly teach students to prompt AI effectively so it becomes a personalized learning scaffold rather than an answer generator. Discover how AI can support all three UDL pillars: sparking interest and connecting lessons to diverse backgrounds, translating text and adjusting reading levels, and serving as an executive functioning coach, brainstorming partner and real-time feedback tool. You will leave with an AI-UDL framework that maps AI capabilities to UDL guidelines, customizable prompt libraries for differentiation and multimodal resources, a student lesson guide for responsible AI literacy and self-advocacy, and an assessment blueprint for evaluating the process of learning, all designed to ensure innovation bridges equity gaps rather than widening them.
Access Type
Session or Session+ or All-Access Registration Permitted
Content Topic
Special Education/Assistive Technology/Inclusive Tech
Curriculum Area
Integrated/Cross Curriculum
Session Type
Concurrent Session
Education Challenges
Teaching Diverse Learners
EdTech Product
Assessment Tools,Student Learning Technology,Student Support Technology