High school teacher here.
Before I run anything through Copyleaks or Originality.ai, I try to eyeball AI writing first. Not to “catch” students instantly — but to avoid over-relying on detection scores.
Here’s what I look for:
- Sudden vocabulary jumps from prior assignments - Extremely balanced paragraph symmetry - Overuse of transitional phrases - Abstract generalizations without concrete classroom references ChatGPT outputs often sound polished but strangely uniform. Not bad writing. Just frictionless.
That said, I’ve seen false positives in AI detection tools. Strong writers sometimes get flagged. Weak writers sometimes don’t.
So my workflow is:
- Compare to previous submissions.
- Look for AI writing patterns.
- Only then check detection software.
I don’t treat any score as proof. It’s a signal, not a verdict.
Curious how other instructors approach this. What’s your process?
I’m not in academia, but I review a lot of freelance work.
Uniform rhythm is what stands out to me. Every paragraph feels equally weighted. Humans usually overemphasize something.
That imbalance is natural.
Technical perspective: detection tools rely on probabilistic signals.
Eyeballing adds contextual memory — you know the student’s prior voice.
Software doesn’t.
Combining both is smarter than either alone.
As a writer, I worry about false positives in AI detection.
My style is structured and clean. I use consistent transitions. That alone shouldn’t imply ChatGPT use.
Context matters more than surface polish.
Technical perspective: detection tools rely on probabilistic signals.
Eyeballing adds contextual memory — you know the student’s prior voice.
Software doesn’t.
Combining both is smarter than either alone.
Student perspective: the fear of being misclassified is real.
If teachers are using “vibe checks” plus software, transparency becomes crucial. Otherwise students don’t know what standard they’re being judged against.
Clear rubrics would help.