Artificial intelligence is changing how educators plan, adapt, and design instruction. For students with disabilities, the opportunity is not simply to make planning faster, but to make learning more accessible, engaging, behaviorally supportive, and rigorous.

This session introduces a practical approach to AI-calibrated instructional design, where educators remain the designers, and AI serves as a responsive planning partner. Participants will explore how to integrate UDL, SEL, PBIS, and standards-aligned instruction into one coherent learning experience rather than treating them as separate planning demands.

Through a simplified design process, participants will learn how to use AI to clarify learning goals, generate access points, strengthen engagement, align behavior supports, create scaffolds, and preserve rigor for students with disabilities. The session will emphasize professional judgment, student dignity, and intentional design, ensuring AI supports deeper learning rather than replacing educator expertise.

Participants will leave with 1) Practical planning structure, 2) Sample AI prompts, and 3) Clear process for designing integrated lessons that connect access, engagement, behavior supports, and rigorous academic outcomes.

Intended Audience:
This session is designed for special and general education teachers, mental health providers, SLPs, OTs, APEs, coaches, program specialists, site administrators, and district leaders who support students with disabilities.