Are we being honest about what AI is really doing in our classrooms? Two leading thinkers say the conversation most of us need to have isn't happening yet.

MIT's Justin Reich and philosopher Dr. Christian Miller join Vicki Davis for Season 6's Big Picture Conversations series, exploring one of the most pressing questions in education today: What does honesty about AI actually look like — in research, in classrooms, and in ourselves?

In this episode, you'll learn:

Why the AI in education research base is thinner than most people realize — and what teachers should do in the meantime (hint: become a micro-experimenter)
Why domain knowledge matters more than ever when students use AI — and how handing off cognitive work too early may shortcut the learning that matters most
What The Homework Machine podcast found when it interviewed 90+ teachers and 30+ students about what AI is really doing in K-12 classrooms
What 30 years of research on honor codes can teach us about AI integrity policies — and why they work
The personal honesty question Dr. Christian Miller poses to every teacher: Are you honest with yourself about how you're using AI?
How to open the honest conversation about AI in your own school and classroom — and why it starts with the teacher

Show notes and a comprehensive list of research and sources: https://www.coolcatteacher.com/honestai

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