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Teachers worry about AI-written homework, but most monitoring happens after students submit work, using detection tools and broader online surveillance systems.
In short: Schools are trying to curb AI-written assignments mostly with detection tools and online monitoring, not by watching students write in real time.
Many people assume teachers are now watching students write, live in the classroom, to stop them from using AI. The reporting and research cited here points to a different pattern. Most schools and teachers are focusing on software checks after students turn work in.
One common example is Turnitin, a tool that scans submitted essays and tries to guess whether AI helped write them. That is different from a teacher looking over a student’s shoulder while they type. Turnitin itself says its AI detector may not always be accurate, and it should not be the only reason to punish a student.
At the same time, some schools are using broader digital surveillance. A separate review of school surveillance companies found that 86% of them monitor students 24/7, including outside school hours. About 71% use AI to automatically flag activity, like a smoke alarm that can sometimes go off when there is no fire.
Concern among educators is high. College Board research from late 2025 found that 74% of faculty said students use AI to write essays or papers, and 67% said students use it to paraphrase content.
Some educators are choosing a different approach. For example, Baylor University’s writing center has leaned toward conversation-based checks, asking students about their writing process and about instructor rules instead of trying to “catch” AI use.
Detection tools and surveillance can create false accusations and privacy concerns. Schools may keep shifting toward in-person writing, more drafts, and simple conversations about how work was created, especially as AI detection remains imperfect.
Source: NYTimes