Why Teachers Don't Need to be the Expert in the Classroom with Stewart Brown

Matt sits down with Stewart Brown, from Code for Kids (c4k.io), to dig into why so many schools are unprepared to teach AI literacy and computer science—and what it actually takes to build a foundation that sticks. From debunking the myth that CS doesn't belong in every district to rethinking what "expert in the room" even means for teachers, this conversation goes way deeper than tech tools. It's about curiosity, vulnerability, and what gets lost when we let AI do too much of the thinking for us. 

Timestamps: 
2:43 | The real gap in K-8 schools: why computer science often doesn't exist as a real subject
15:12 | Stewart's no-BS way of explaining AI: "It's a machine brain."
18:07 | Matthew's viral hallucination analogy — what your breakfast 20 years ago has to do with AI
19:38 | Unpacking "future-ready education" — and why it's more than a buzzword
21:54 | The mindset shift every teacher needs before stepping into an AI-driven classroom
30:56 | A college classroom story that changed how Matthew thinks about teaching
35:09 | How Code for Kids actually started — an origin story with a wild twist
40:23 | What happens to classroom engagement when teachers admit they don't know everything
47:48 | Stewart gets curious: the big open questions driving his work
51:49 | The one thing about AI that fascinates (and unsettles) everyone in the field
57:28 | Where to find Stewart and Code for Kids

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