Tag: artificial-intelligence
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Why AI Should Be Boring (And Why That's Good)
Discover why the most valuable AI tools are predictable and unremarkable. Learn how boring, stable AI outperforms flashy demos in real-world applications.
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The School That Got AI Right
Some schools are getting AI right. Their approach is neither banning it nor uncritically embracing it. It's something more precise and more demanding.
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Why Most AI Products Feel Like Features, Not Tools
Most AI products impress for a week and get abandoned by month two, not because the underlying model is weak but because the product was never built to survive contact with a real workflow. What actually separates a tool from a feature, and it isn't capability.
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Standardized Tests' Last Stand
Standardized tests survived every previous technology threat. AI is different because it doesn't just help students prepare — it changes what preparation means.
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The Global AI Classroom Gap
AI promises educational democratization globally. But AI's effectiveness is baseline-dependent — it will widen the global classroom gap before narrowing it.
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The STEM Mismatch
The STEM pipeline was built for a labor market that AI is restructuring in real time. Schools are producing workers for jobs that will not exist at scale.
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What We Talk About When We Talk About Critical Thinking
Critical thinking is the most-cited educational goal of the AI era and the least clearly defined. Precision matters because the vague version is unteachable.
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Why AI Frameworks Fail Outside Demos
Every AI framework launches with a demo that borders on magic. Then you try to build something real with it. Why the gap between playground and production is structural, not a bug in any specific framework, and what actually closes it.
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The Homework Industrial Complex
Harris Cooper's homework research has been clear since 1989: most homework doesn't work. AI just made the inconvenient evidence impossible to ignore any longer.
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Higher Education Is About to Find Out What It Actually Sells
AI is separating knowledge access from credential from network from status signaling. Universities that can't articulate their unique value are in real trouble.
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The Personalization Trap
EdTech has promised personalized learning since the 1990s. AI brings this closer, but the concept itself may be built on a flawed theory of how learning works.
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What the Calculator Wars Actually Teach Us
The calculator debate is the closest historical parallel to AI in education. Getting that history right matters for understanding what comes next.
