How Teachers Can Tell When Students Use ChatGPT

Beyond AI detection tools, experienced teachers develop an intuition for AI-generated work. Here are the patterns I’ve learned to watch for.

The voice doesn’t match. If you’ve read a student’s writing all semester and suddenly the tone, vocabulary, and complexity shift dramatically, that’s a red flag. I keep baseline writing samples from early in the semester specifically for comparison.

Suspiciously balanced arguments. ChatGPT tends to present “both sides” of every issue with diplomatic neutrality. Real student writing usually takes a side and argues it passionately, even if messily. An essay that sounds like a Wikipedia overview rather than an argument is worth questioning.

Lack of specific references. When I assign an essay about a text we read in class, I expect references to specific passages, our class discussions, and the student’s personal reactions. AI-generated essays reference the text generally but miss the specifics that only come from actually being in the room.

Perfect structure, weak substance. ChatGPT writes beautifully organized essays with clear topic sentences, smooth transitions, and tidy conclusions. But the actual arguments are often surface-level. If the form is perfect but the thinking is shallow, that’s a pattern.

Unusual vocabulary for the grade level. A grade 10 student suddenly using words like “multifaceted” and “paradigm” in every paragraph is worth noting. Not proof by itself, but a signal.

Generic examples. AI tends to use famous, commonly cited examples rather than obscure or personal ones. If a student who normally references their summer job experience suddenly starts citing “research has shown” without specifics, pay attention.

No errors at all. Human writing has imperfections. Slight grammar wobbles, word repetition, sentence fragments for emphasis. Perfectly clean prose from a student who usually makes errors is noteworthy.

What patterns have you noticed in AI-generated student work?