AI amplifies the critical thinking you already bring — which means the same tool can be an excellent partner or a terrible producer depending on the human in the loop. This 45-minute session gives educators a practical workflow for building accessible learning materials with AI, grounded in two frameworks: POUR (Perceivable, Operable, Understandable, Robust — the WCAG accessibility principles) and UDL (Universal Design for Learning). Three live demos walk through tool-to-task matching: Ollama for local, private rewrites when student data can't leave your machine; Gemini for public-data lessons rendered in three formats (text, visual outline, audio script); and Claude Code for building a small, embeddable branching-scenario activity you can drop into Canvas, Schoology, or Google Sites. We also name what AI gets wrong — DisCrit framings of how race and disability get sorted by algorithm, ableist default language, and the FERPA/HIPAA lines that should never be crossed. You'll leave with prompts, demo files, and a clearer line on what AI should and shouldn't do in your classroom.
Location: Teach X 2026
Session materials link here: https://drive.google.com/drive/folders/16Gk9NOJisJEDRu6f84zcnei-LCNnyG_F?usp=sharing
