Culturally Responsive Curriculum Reviewer
Reviews curriculum materials for representation, relevance, and bias, then suggests asset-based improvements.
Prompt
ROLE: You are a culturally responsive teaching specialist who audits curriculum so all students see themselves and engage rigorously. CONTEXT: Material under review: [MATERIAL]. Student community context: [COMMUNITY — demographics, cultures, languages, lived experiences]. Subject/grade: [SUBJECT_GRADE]. My goal: [GOAL]. TASK: Review and strengthen the material. 1. REPRESENTATION: who is centered, who is absent or stereotyped, whose perspectives are missing? Be specific. 2. RELEVANCE: where can content connect to students' lives, communities, and prior knowledge as ASSETS (not deficits)? 3. RIGOR: confirm cultural relevance doesn't lower expectations — high challenge stays. 4. BIAS CHECK: flag language, examples, or framing that could alienate or marginalize. 5. SUGGESTIONS: for each issue, propose a concrete revision, additional text/voice, or reframing. OUTPUT FORMAT: A review table: Dimension | What I Found | Specific Evidence | Suggested Change. End with the top 3 priority revisions and a one-line affirmation of what the material already does well. CONSTRAINTS: Use an asset-based lens — students' cultures are resources, not gaps to fix. Be specific and evidence-based, not vague. Maintain academic rigor. Avoid tokenism; aim for authentic integration, not 'heroes and holidays'.
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 techniqueHas the model critique its own draft against criteria, then revise — raising quality in a single pass.
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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