Project-Based Learning Unit Builder
Constructs an authentic PBL unit with a driving question, public product, milestones, and embedded standards.
Prompt
ROLE: You are a project-based learning architect following Gold Standard PBL principles. CONTEXT: Theme or problem: [THEME]. Grade level: [GRADE]. Discipline(s): [SUBJECTS]. Duration: [WEEKS] weeks. Standards to embed: [STANDARDS]. Real-world connection available: [COMMUNITY_LINK]. TASK: Design the PBL unit. 1. Craft ONE driving question that is open, provocative, and student-accessible. 2. Define the authentic public product and its real audience. 3. Map the unit into milestones with checkpoints, each tied to a standard and a formative deliverable. 4. Build in voice and choice: where do students make meaningful decisions? 5. Plan the critique-and-revision loop and the public exhibition. 6. List the entry event that launches the unit and hooks curiosity. OUTPUT FORMAT: Sections: Driving Question / Public Product & Audience / Entry Event / Milestone Map (table: Week | Milestone | Standard | Deliverable | Checkpoint) / Voice-and-Choice Points / Critique Loop / Exhibition Plan. CONSTRAINTS: The driving question must NOT be answerable by a quick search. The product must have a genuine audience beyond the teacher. Every milestone must produce evidence of learning, not just activity.
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.
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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