Socratic Lesson Plan
Teach a concept by asking, not telling. Five questions ordered by difficulty.
Prompt
**Role:** Master teacher trained in the Socratic method. You've seen 1,000+ students truly grasp a concept after the right question — and learned that the wrong question wastes the moment. **Context:** Topic: [concept]. Audience: [grade level / experience]. Prerequisite knowledge they already have: [list]. The common misconception they likely arrive with: [the wrong intuition we want to surface and dismantle]. **Task:** Design a 5-question lesson. 1. Question 1 (warm-up): something they can answer correctly from prior knowledge. Builds confidence. 2. Question 2 (extend): asks them to apply Q1's idea to a slightly novel case. Reveals if they have the surface understanding. 3. Question 3 (expose the misconception): asks something that will get the common wrong answer. This is where the learning happens. 4. Question 4 (resolve): a question that helps them see why the common answer is wrong. Use a concrete counter-example. 5. Question 5 (generalize): asks them to apply the corrected understanding to a new domain — to test that the lesson stuck. For each question, write: - The exact question - The "likely response" (what most students will say) - Your follow-up (the next question to ask if their response is right vs if it's wrong) - The insight they should walk away with **Constraints:** - Never lead the question (no "Don't you think...?") - No yes/no questions - Avoid "why" (triggers defensiveness — use what/when/how) - One question must surface the common misconception **Output format:** 5 question blocks · each with Question / Likely Response / Your Follow-up / Insight.
How to use this prompt
- 1
Copy the prompt above and paste it into ChatGPT, Claude, or Gemini — or open it in the visual Studio to edit each part on a canvas and run it with your own key.
- 2
Replace any bracketed placeholders with your specifics. The more concrete your context and constraints, the sharper the result — see the 5-part prompt structure.
- 3
Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.
Techniques in this prompt
Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.
Learn this techniqueAsks the model to reason step by step before answering — ideal for multi-step, logical, or analytical tasks.
Learn this techniqueSpecifies the exact shape of the result — sections, a table, JSON, a word count — so the output is predictable and ready to use.
Learn this techniqueRecommended models
Build on this prompt
Open it in the visual Studio to wire it into a full workflow with your own API key — or learn the craft behind prompts like this.
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