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What happens to the learner if an AI-powered decision is wrong?

Education is trapped in a false AI binary: heavily restrict it to prevent systemic harm, or blindly embrace it to avoid leaving learners behind. This obscures a deeper risk: the unprecedented rush to integrate AI without an evidentiary framework. As Ercikan and Solano-Flores (2025) warn, “Rapid ...


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By Karen Pittman and Merita Irby

Learning ecosystems may be found anywhere. But it takes careful stewardship to help them thrive.

That sentence, borrowed from our friends at Remake Learning, is the one we keep coming back to. We spent the better part of the past year interviewing the founders and leaders of four mature, p...


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On The Difference Between Moving Fast And Moving Honestly

There is a question I find myself asking more often when I work with district and state leaders.

What are we actually talking about?

I don’t ask because people are being unclear. Most teams can describe their initiatives in great detail. They know the timeline, ...


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Every multi-year transformation effort passes through a stretch that textbooks and strategic plans never quite account for.

The old approach has been disrupted, but the new one hasn’t yet produced enough data to defend itself. Teachers are working harder than ever without feeling effective. A new mandate arrives, pointing somewhere that feels entirely off-course. Th...


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