EducationPromptFree
Socratic Lesson Plan
Teach a concept by asking, not telling. Five questions ordered by difficulty.
**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.
- Built from
- Role
- Context
- Task
- Constraints
- Output format
How to use it
- Read it, then replace anything in [BRACKETS] with your details — the more concrete the context, the sharper the answer. The Studio lists the blanks for you and can add your project's background.
- Copy it (or download the .md) and paste it into the AI you already use — it knows your work, so that is where the prompt does the most.
- Not sure what it produces? Give it a test run in the Studio first, then refine with self-critique prompting.
Techniques in this prompt
Role-Based
Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.
Learn this techniqueChain-of-Thought
Asks the model to reason step by step before answering — ideal for multi-step, logical, or analytical tasks.
Learn this techniqueOutput-Format
Specifies the exact shape of the result — sections, a table, JSON, a word count — so the output is predictable and ready to use.
Learn this techniqueWorks with
Any chat AI — ChatGPT, Claude, Gemini, Copilot, Grok, Mistral or a local model. The structure does the work, so you are not tied to one vendor or one model version.
New to structured prompts? Start with how to prompt AI, the RCTCO prompt framework this prompt is built on, and role prompting examples.