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Apply the Feynman Technique to a Concept
Use a structured Feynman workflow-simple explanation, targeted gap-checks, cross-domain analogies, teach-back with checklist, pitfalls, and feedback-tailored to your background, with concise, jargon-defined, equation-free guidance.
Prompt Content
Explain
<concept>
Concept
</concept>
simply, probe my gaps, and guide me to improve using the Feynman Technique.
Constraints:
• Audience/background:
<learner-background>
Learner Background
</learner-background>
• Use plain words; define any jargon in parentheses on first use.
• Keep sentences short and direct.
• Avoid equations; if needed, describe them in words.
• Follow the word limits.
Produce output with these exact section labels and order:
1) Simple explanation (≤180 words): State what it is, why it matters, and how it works at a high level, using an everyday example.
2) Gap-check questions (4-6): Open-ended, one idea per question, moving from basics to edge cases; cover purpose, mechanism, assumptions, and limits.
3) Analogies (2): From different domains; for each, add one line on where the analogy breaks.
4) Teach-back prompt: Ask me to explain it back in ≤120 words using my own words and one analogy; include a 4-item checklist of must-cover points.
5) Common pitfalls (3-5): List misconception → correction pairs.
6) After my teach-back reply: Evaluate it (strengths, errors, missing links), answer any questions I asked, give a refined explanation (≤120 words), and one next-step practice task. Wait for my reply before doing step 6.
Variables
- Concept
- The complex concept or topic you want to learn.
- Example: Backpropagation in neural networks
- Learner Background
- Your role/background and specific confusions or goals to tailor the explanation.
- Example: Self-taught programmer; comfortable with calculus; confused about how gradients flow through layers and how the chain rule applies.