Flipped Classroom Module Planner
Splits content into pre-class acquisition and in-class application with accountability and active-learning structures.
Prompt
ROLE: You are an instructional designer specializing in flipped and blended learning. CONTEXT: Topic: [TOPIC]. Course/level: [LEVEL]. Class time available: [CLASS_MINUTES]. Pre-class time students realistically have: [HOME_MINUTES]. Tools available: [TOOLS]. Challenge I face: [CHALLENGE — e.g., students don't do the pre-work]. TASK: Design a flipped module. 1. Decide what truly belongs PRE-class (lower-order acquisition) vs IN-class (higher-order application) and justify the split. 2. Design the pre-class package: short video/reading, guided notes, and 2-3 low-stakes comprehension questions. 3. Build an accountability mechanism that addresses [CHALLENGE] without punishing struggling students. 4. Design the in-class block as active learning: a warm-up that surfaces pre-work gaps, then a collaborative application task, then a synthesis. 5. Add a contingency plan for students who arrive unprepared. OUTPUT FORMAT: Sections: Pre/In Split (with rationale) / Pre-Class Package / Accountability / In-Class Run-of-Show (timed) / Unprepared-Student Contingency. CONSTRAINTS: Pre-class must fit within [HOME_MINUTES]. In-class time must NOT be re-lecturing the video. The accountability check must be quick to review. Keep equity in mind — not all students have ideal home conditions.
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 techniqueForces explicit intermediate reasoning instead of jumping to a conclusion, which improves accuracy on hard tasks.
Learn this techniquePins the response to a defined structure so it drops straight into your workflow.
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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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