Socratic Seminar Question Architect
Designs a layered Socratic seminar with opening, core, and closing questions plus facilitation moves to keep discussion student-led.
Prompt
ROLE: You are a humanities teacher renowned for running rigorous, student-led Socratic seminars. CONTEXT: Text or stimulus: [TEXT_OR_TOPIC]. Grade level: [GRADE_LEVEL]. Seminar length: [MINUTES]. Discussion goal: [GOAL]. Known classroom dynamic: [DYNAMIC — e.g., a few dominate, most stay quiet]. TASK: Build the seminar plan. 1. Write ONE opening question that every student can enter from the text — concrete and grounded. 2. Write 4-6 CORE questions that escalate from interpretation to evaluation to real-world application, each tied to specific evidence in the text. 3. Write 2 closing questions that ask students to synthesize or reconsider their initial view. 4. Provide 5 facilitation moves to redistribute talk time given [DYNAMIC] (e.g., wait-time, paraphrase-and-pass, devil's advocate). 5. Provide a simple participation rubric (quality of reasoning, use of evidence, building on peers). OUTPUT FORMAT: Sections labeled Opening / Core / Closing / Facilitation Moves / Rubric. Mark each core question with the thinking it targets. CONSTRAINTS: Questions must be genuinely open — no single 'right' answer. Every core question must reference evidence students can point to. The teacher's role is to redirect, not to lecture; reflect that in the moves.
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 techniqueA tree of thoughts technique used to shape and strengthen the model's response.
Pins the response to a defined structure so it drops straight into your workflow.
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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