Education & Curriculum5.0 · 0 ratings

Culturally Responsive Curriculum Reviewer

Reviews curriculum materials for representation, relevance, and bias, then suggests asset-based improvements.

Role-BasedSelf-CritiqueStructured-Output

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. 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. 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. 3

    Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.

Techniques in this prompt

Role-Based

Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.

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Self-Critique

Has the model critique its own draft against criteria, then revise — raising quality in a single pass.

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Structured Output

Pins 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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