AI in education pedagogy
My approach to AI in education is grounded in studio practice: experimentation, iteration, and critical reflection. I treat AI as a tool that can expand learning and support student progress—when it’s used with intention. Rather than chasing trends or banning technology outright, I focus on designing assignments that build real skills, make student thinking visible, and prepare learners for creative and professional environments where AI will increasingly be part of the workflow.
In practice, this means:
Using AI to support learning, not replace learning
Building clear structures for responsible use (process, citations, and reflection)
Designing assignments that prioritize decision-making and revision
Teaching prompting as a communication skill, not a shortcut
Supporting access and clarity for diverse learning needs
Keeping observation, craft, and creative agency at the center
ADA and ELL - AI Pedagogy
I treat accessibility and language access as pedagogy, not an add-on. AI supports individualized learning by helping me differentiate explanations, formats, and pacing for students with documented needs and varied learning profiles—while maintaining consistent academic rigor. For multilingual/ELL learners, I incorporate translation and multimodal supports to reduce language barriers and expand how students can demonstrate understanding. The aim is equal access to instruction, dialogue, and feedback.
AI policy recommendation for Art Education
AI may be used to support learning and the studio process—planning, research, critique rehearsal, iteration, accessibility supports, and reflection—when it strengthens student agency and craftsmanship. Students and faculty must disclose how AI was used (tools + purpose + what was accepted/changed) in process documentation or project statements. AI may not be used to replace required observation, skill-building exercises, or original making, nor to submit AI-generated content as student-authored work without permission and attribution. Faculty remain responsible for evaluation; AI tools may assist workflow, but final grades and feedback are faculty judgments, with human review.