Schooling Has a Meaning Crisis. Paradoxically, AI Can Help
The article argues that modern schooling suffers from a crisis of meaning, prioritizing measurable outcomes over deeper understanding and student motivation. It highlights historical examples, such as Louis Benezet's 1929 experiment, to illustrate how delaying formal instruction in favor of meaningful, context-driven learning can yield better results. Paradoxically, the author suggests that AI, if used thoughtfully, could help restore meaning by freeing up space for more personalized and reflective education.
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Schooling Has a Meaning Crisis. Paradoxically, AI Can Help.Sai GaddamApr 30, 2026ShareOur microschool is four years old now! Well, that was a few months ago but we didn’t really get to sit down and reflect on it, because running it continues to be a giant energy wormhole. It’s a bit like parenting. The days can be pull-your-teeth-out frustrating, but joy seeps in pools up and lifts you up, and changes you.Over these four years we’ve worked intensely on what we call the full-stack of education: philosophy, pedagogy, practice, and process (the day we add praxis here is the day you should unfollow us). It’s only now that we’ve begun to articulate how we are different, and it really is beautifully simple.
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