A Note On AI Detectors

When AI detection tools are used, they should only serve as one data point among many. Do not rely solely on AI Detectors as your primary source for determining academic misconduct, as they have high false-positive rates, especially for multilingual learners and neurodivergent students.

Step 1. Gather Observations

When reviewing suspected AI-generated work, look for:

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  1. Primary Data Point—Writing Sample Discrepancy: Compare noticeable shifts in the student’s typical voice, syntax, vocabulary, style, or overall writing ability.
  2. Version History Patterns: Very few edits, large text blocks appearing at once, or minimal keystrokes.
  3. Content Red Flags: Fabricated citations, superficial or vague analysis, inaccuracies, or missing class-specific details.
  4. Prompt Mismatch: Responses that feel overly generic, polished, or literal in ways that don’t fit the assignment.
  5. Formatting Inconsistencies: Missing course-specific requirements, unusual headings, or template-like structures.
  6. AI Detection Tools: While these tools can be helpful in large screenings, do not rely solely on AI Detectors as your primary source for determining academic misconduct, as they have high false-positive rates.

Defining AI Misuse

  1. If a student uses AI to bypass thinking, rather than enhance it.
  2. If a student violates the assignment guidelines about AI use.
  3. If a student submits AI-generated work as their own and fails to cite AI assistance.

Step 2. The Conversation

Lead with curiosity when connecting with the student and ask open-ended questions.

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How are you handling the workload this year?”

What was challenging about this assignment?”

Tell me about your writing or thought process.”

Walk me through how you worked on this.”

If the student denies AI use, consider these follow-up activities. If the evidence remains ambiguous, avoid allegations and plan for monitoring.

  1. Have the student explain their project verbally to you.
  2. Have the student locate and explain key sources.
  3. Have the student rewrite a short section.
  4. Give the student an alternate assessment or related activity.

Step 3. Repair Plan

When a student admits to misusing AI, focus on repair: 

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  1. Low-impact task + first time misuse:  Consider time pressure, confusion, and/or perfectionism.  Ask “What led to that choice?” and “What would help you do the work next time?” Offer a brief redo, oral check, and/or short reflection at your discretion.

  2. Major task + first time misuse: Consider a structured redo with scaffolds, including process notes, partial credit tied to recovery tasks, a brief reflection on what they learned about responsible use, and citation practice. Consider supplemental ongoing supports, such as process notes on future assignments or handwritten first drafts in class.

Repeated Offenses (Pattern of AI Misuse Over Time)

  1. Conference (student + teacher; add counselor/administrator as policy requires).
  2. Structured learning plan for the course (class check-ins; drafting; reduced access to generative tools on specific tasks; required citations of any allowed uses).
  3. Assessment adjustments (more oral defenses, lab practicals, or in-class writing).
  4. Consequences consistent with school policy for academic dishonesty, paired with relearning requirements.

Step 4. Document and Loop-In Support

Document and loop in support as needed.

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  1. Notify parent/guardian, counselors, and/or admin as needed.

  2. Brief documentation protects everyone and enables consistent follow-up: what you observed, what the student shared, the repair plan, and due dates.

  3. Focus on learning recovery, not building a “case.”