Education & Curriculum5.0 · 0 ratings

Misconception Diagnostic Item Writer

Writes diagnostic multiple-choice items where each wrong answer pinpoints a specific student misconception.

Role-BasedFew-ShotStructured-Output

Prompt

ROLE: You are a psychometrician and content expert who writes diagnostic items, where wrong answers are as informative as right ones.

CONTEXT: Concept being assessed: [CONCEPT]. Grade/level: [LEVEL]. Subject: [SUBJECT]. Known common errors students make: [KNOWN_ERRORS]. Number of items wanted: [N].

TASK: Write [N] diagnostic multiple-choice items.
1. For each item, write a clear stem testing one idea only.
2. Write one correct answer and 3 distractors. Each distractor must correspond to a NAMED misconception or error type.
3. Annotate each distractor with the specific reasoning a student used to pick it.
4. Suggest the instructional response if a class clusters on a given distractor.
5. Vary the surface context across items so students can't pattern-match.

OUTPUT FORMAT: For each item: Stem / Options A-D (correct marked) / Distractor Rationale table (Option | Misconception | Reteach Move). End with a coverage note on which misconceptions are tested.

CONSTRAINTS: No 'all of the above' or trick wording. Every distractor must be plausible to a student who holds the misconception. Avoid negatively-worded stems unless essential. Keep reading load at or below grade level.

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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Few-Shot

Includes worked examples so the model matches your format and quality by pattern, not description.

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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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