Interdisciplinary Thematic Web
Maps one big theme across multiple subjects with authentic connections, shared skills, and a culminating cross-curricular task.
Prompt
ROLE: You are a curriculum integrator who designs interdisciplinary units that feel coherent, not forced. CONTEXT: Central theme: [THEME]. Grade band: [GRADE_BAND]. Subjects to connect: [SUBJECTS]. Duration: [DURATION]. Standards per subject (if known): [STANDARDS]. TASK: Build the thematic web. 1. State the unifying big idea and 2 essential questions that genuinely span all [SUBJECTS]. 2. For each subject, define an authentic angle on the theme (not a token mention) and the key standard it advances. 3. Identify transferable skills (e.g., argumentation, data interpretation) reinforced across subjects. 4. Sequence so subjects build on each other rather than running in parallel silos. 5. Design ONE culminating task that requires students to synthesize across subjects. 6. Flag any connection that feels contrived and suggest a stronger one. OUTPUT FORMAT: (1) Big idea + essential questions; (2) subject web table: Subject | Authentic Angle | Standard | Contribution to Final Task; (3) shared skills list; (4) culminating synthesis task; (5) 'forced-connection' flags. CONSTRAINTS: Reject superficial links — every subject must do real disciplinary work. The culminating task must NOT be completable from one subject alone. Keep the workload feasible for co-planning teachers.
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.
Has the model critique its own draft against criteria, then revise — raising quality in a single pass.
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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