Misconception Diagnostic Item Writer
Writes diagnostic multiple-choice items where each wrong answer pinpoints a specific student misconception.
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
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 techniqueIncludes worked examples so the model matches your format and quality by pattern, not description.
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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