What we are learning from right now.

Dual coding describes what happens when language and visual information arrive together and reinforce one another rather than competing for a learner’s attention. Applied well, it lowers the effort required to understand something complex and makes the idea easier to recall later. Applied carelessly, it produces decoration.

PJ Milani at Milani Creative does this as well as anyone working today. The visuals carry real conceptual weight, and the calm, unhurried approach to leadership and change that comes through the artwork is something we point to often in our own sessions.

In January 2024, while many districts were still weighing whether to prohibit generative AI outright, the argument that stayed with us was that educational leaders should be building AI literacy in their communities deliberately and early. That position shaped how we approached adoption in the years that followed, and it remains the position we bring into schools today.

AI for Education maintains a free prompt library that we use and share often. For anyone early in this work, it is a practical place to begin.

Questions about AI in schools are best answered in conversation, with teachers, staff, and families included rather than informed afterward. Transparency is part of how a community arrives at a decision it can live with.

Edutopia consistently spotlights real practice in real classrooms, with the difficulties left in. That honesty is why we keep returning to their work.