Instead of passively reading explanations, you explain concepts back to an AI that pushes back on fuzzy thinking and asks clarifying questions, forcing you to construct understanding rather than collect information. The feedback loop tightens the gap between what you think you know and what you actually understand.
Explain-back prompting is a study technique where a student explains a concept to an AI in their own words and then asks the AI to identify gaps, correct misconceptions, and confirm what was understood correctly.
This method activates the protege effect, where teaching something forces deeper understanding, and gives students immediate diagnostic feedback on exactly where their knowledge breaks down before an exam reveals it.
Peri can explain this concept, give practical examples, help you decide whether it applies to your situation, or recommend a journey if appropriate.
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