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