What to watch for when checking student work for AI

In classrooms, AI detectors are easily used like verdict machines. Text detection can flag human writing, especially from language learners and translated work. The right use of a result is as grounds to start a conversation.

What the result says

A result assesses how closely the statistics of a text resemble a generation model. It does not prove a student used AI, and it is worth knowing first that some human texts are flagged as AI.

Texts that need extra care

Writing in a second language, machine-translated text, short pieces and formulaic templates produce more false alarms or come back inconclusive. Give results less weight for these assignments.

Better ways to check

Drafts and revision history, an explanation of the writing process and a short oral check are far stronger grounds than a detection result. Revision traces in document files also tell part of that story.

Set the rules first

State in the assignment how far AI may be used and how to disclose it. Clear rules reduce misunderstandings around results and make it easier for students to disclose their use.

Frequently asked

Does it give a percentage of AI-written text?
It never claims a percentage was written by AI. It shows likelihood as a range and flags separately that a text may be mixed.
Can I show the result to the student?
With the grounds open, it helps explanation and appeal. You can hand it over with a share link.
Many results are inconclusive.
That is normal for short or quote-heavy texts. Do not treat inconclusive as grounds for suspicion.
Is student writing used for training?
Uploaded files are deleted after analysis and are not used for training.

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This is general guidance, not legal advice. A scan result is a probabilistic assessment, not proof.

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