Podcast summary
Edtech Is Failing Students — How Principals Fix It
Tech should be a tool, not destiny
Screen and AI systems often optimize engagement and simulation, producing dopamine-like loops or polished outputs without real practice. The episode argues to redesign learning for human critical thinking and real-world experience.
Engagement algorithms can degrade outcomes indirectly
Court cases and personal observations frame addictive “little hits” as the mechanism: the system optimizes what keeps attention, not what benefits children. The result is feeds and rage that may outrun healthy learning.
AI shifts coding from engineering to philosophy
When AI writes, users’ leverage moves to specifying intent, data, constraints, and structure; “code is philosophy” because the quality depends on the inputs and framing you provide. That makes critical-thinking and careful design more central than raw implementation.
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