Updike's "A&P" is exactly the kind of text students might ask a chatbot to write about, because it is widely taught, short, and heavily discussed online. Teachers have noticed essays that sound polished but oddly generic, with correct summaries and safe observations that never commit to a real argument. Recognizing these patterns does not require special software, only careful attention to what the essay does and does not do. The goal is to respond fairly and constructively rather than to catch students out.

Common signs of machine-written essays include broad statements about themes without specific textual detail, balanced hedging that never takes a clear position, and a uniform tone that does not match the student's earlier writing. An essay might describe Sammy as a complex character who navigates societal expectations without citing a single moment from the story. The prose may be grammatically clean but strangely empty. These features should prompt a conversation, not an automatic accusation.

Detection tools are unreliable and can produce false positives, so teachers should be cautious about relying on them. A more dependable approach is to compare the submission with the student's in-class writing and to ask them to explain their ideas. Students who wrote their own essays can usually discuss their choices in detail. Those who did not often struggle to explain basic points.

Designing Assignments That Resist Shortcuts

The most effective response is to design assignments that require personal engagement with the text. Ask students to analyze a specific line, connect the story to a class discussion, or respond to a peer's argument. Include a process component, such as an outline, a draft, and a reflection on revisions. When the assignment demands steps that a chatbot cannot easily replicate, shortcuts become less attractive.

• Require evidence from specific moments discussed in class
• Collect outlines and drafts before the final essay
• Include a short in-class writing sample for comparison
• Ask for a reflection on how the argument changed through revision
• Hold brief conferences where students explain their reasoning

Setting Clear Policies

Students need to know what is and is not permitted before they write. A clear policy might state that AI tools may not be used to generate analysis or text, but may be allowed for tasks like checking grammar if the teacher approves. Ambiguity creates room for misunderstanding and unfair accusations. Writing the policy on the assignment sheet and discussing it in class ensures that everyone understands the rules.

It also helps to explain the reasoning behind the policy. Students are more likely to follow rules when they understand that the purpose of the assignment is to develop their own thinking. Discussing the difference between using a tool for support and using it as a replacement for effort can be productive. These conversations build trust and reduce the temptation to cut corners.

Responding When You Suspect Misuse

If an essay raises concerns, begin with a private, non-accusatory conversation. Ask the student to walk you through how they developed their thesis and selected their evidence. Their ability to explain the work is often more telling than any detection score. Follow your school's academic integrity procedures and document the conversation.

Treat the situation as an opportunity for learning when possible. Some students turn to AI out of anxiety or lack of confidence, and addressing those underlying issues can prevent repeat incidents. Offering support, such as additional scaffolds or extended time, may be more effective than punishment. At the same time, maintain clear consequences for deliberate violations.

Using Feedback Tools Responsibly

There is a meaningful difference between students using AI to write their essays and teachers using AI to support grading and feedback. When teachers use tools to apply a rubric consistently and generate draft comments, they remain responsible for reviewing and finalizing the results. Being transparent about this use models the responsible behavior you expect from students. It also reinforces that technology should support human judgment, not replace it.

Over time, schools will need shared guidelines that address both student and teacher use of AI. Departments can collaborate to draft policies, share assignment designs, and discuss what works. Staying informed and flexible will matter as tools evolve. The central principle remains constant, which is that learning depends on students doing their own thinking.