ThinkWithPrompt by SynotticThinkWithPrompt

Handle a suspected cheating or AI-misuse case fairly

Organizes evidence, plans a fair student conversation, and drafts documentation that follows your institution's process.

Learning & TeachingFew-ShotStandardEducationWriteFill-in Template

The prompt

Help me handle a suspected academic integrity issue fairly and by the book. What I noticed: [e.g. "two submissions share identical unusual errors", "essay style very different from in-class writing"] (use initials, not names) The assignment and its rules: [PASTE INSTRUCTIONS AND COLLABORATION OR AI POLICY] Evidence I have: [DESCRIBE - drafts, version history, comparisons, sources] My institution's process: [PASTE POLICY OR DESCRIBE - e.g. "faculty must report all cases to the integrity office before deciding any penalty"] Student history I'm aware of: [e.g. "none"] Help me: 1. Separate what the evidence actually shows from what I'm inferring. List innocent explanations I should rule out (allowed collaboration, shared tutoring, common sources, language support). 2. Note any evidence that is weak, including AI-detector scores, which are not reliable proof on their own. 3. Plan a conversation with the student: an opening that is neutral and not accusatory, open questions (e.g. "Walk me through how you wrote this section"), and what to do if they admit, deny, or get upset. 4. Draft a factual written record of the incident and the conversation. 5. Check my next steps against the policy I pasted, including deadlines and who must be notified. Do not decide the outcome for me. If the policy requires reporting before talking to the student, say so first. This is general guidance; follow your institution's procedures.

Highlighted [brackets] are blanks to replace with your own details.

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What to fill in

  • PASTE INSTRUCTIONS AND COLLABORATION OR AI POLICY
  • DESCRIBE - drafts, version history, comparisons, sources
  • e.g. "none"

How this prompt is built

This prompt follows the Few-Shot structure (Few-shot prompting). A few-shot prompt includes one or more worked examples of the input and the output you want, so the model can copy the pattern instead of guessing it.

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