Use Feynman-style teach-back to test whether an AI-assisted explanation has become your own understanding.
The test of learning is not whether the AI explanation sounded good. It is whether you can recreate the meaning when the screen is gone. Teach It Back Before You Trust It Teach-back changes the center of gravity in AI learning. Instead of asking, “Did the model explain this well?” you ask, “Can I now explain it well?” That distinction matters because AI lowers friction for reading but not automatically for retrieval. When you explain from memory, you surface the exact point where understanding stops. The AI tutor then becomes a feedback device: it can ask for a missing mechanism,…
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