What an AI text detector can and can't tell you
An AI text detector estimates how likely it is that a passage was generated by a large language model (for example, ChatGPT) instead of written entirely by a student. It looks at patterns like predictability, sentence rhythm, and phrasing.
Importantly, no detector can prove that a student cheated. The output is a probability score, not a yes/no verdict. It should be treated as a prompt for further conversation, not as automatic evidence of misconduct.
When detectors are most useful in the classroom
- Spotting sudden changes in writing style. If a student usually writes at one level and a single assignment looks very different, a detector can give you another data point.
- Reviewing high-stakes submissions. Detectors can help prioritize which essays or projects may deserve closer human review.
- Having honest conversations about AI use. Scores can open a discussion about which kinds of AI assistance are acceptable and how to cite them properly.
Best practices for teachers using AI detectors
- Set clear AI policies first. Explain when AI tools are allowed, when they are not, and how students should disclose their use. Detection is easier when expectations are explicit.
- Use detectors as one signal, not the only one. Combine scores with knowledge of the student, drafts, and in-class performance before making any decisions.
- Avoid numerical "cutoff" rules. A certain percentage (for example, 80% "AI") should not automatically equal a failing grade. Use results to guide further review.
- Talk with students before escalating. If a piece of work looks suspicious, invite the student to explain their process, show drafts, or walk you through their reasoning.
Supporting learning, not just catching cheating
AI text detectors are most valuable when they support learning outcomes instead of becoming a game of "catch the AI." You can use them to:
- Encourage students to reflect on when AI helps their writing and when it gets in the way of their voice.
- Identify students who might be over-relying on AI because they are struggling with the material.
- Model responsible AI use by showing how you evaluate information from tools instead of blindly trusting it.
Building trust around AI in your classroom
Transparency goes a long way. Let students know when you are using AI detection, what the results mean, and how you will respond if a piece of work is flagged. Emphasize that your goal is to support their growth, not to punish experimentation with new tools.