Short stories that appear on many syllabi, such as "The Swimmer," are exactly the kind of assignment students might be tempted to hand to a chatbot. The story is widely discussed, the analysis is predictable, and a generated essay can sound polished while saying very little that is specific. Teachers need a calm, evidence-based way to review suspicious papers without turning every strong essay into an accusation.

It is important to begin with humility about detection. No method is perfectly reliable, and automated detectors in particular have been criticized for false positives, especially for students writing in a second language. A fair process treats any signal as a reason to look closer and talk with the student, not as proof.

The best long-term protection is assignment design, which makes inappropriate AI use less useful and easier to notice. Prompts tied to class discussion, drafts submitted in stages, and short in-class writing all create a record of how a student thinks. When a final essay differs sharply from that record, the conversation starts from evidence rather than suspicion.

Warning Signs in the Writing Itself

Generated essays about this story often share certain traits. They tend to describe general themes of denial and time in smooth language but avoid specific details, such as particular neighbors or moments from the journey. They may also include confident claims about the story that are slightly wrong, or mention events that do not occur in the text.

• Polished language paired with very few specific details from the story
• Claims about scenes or characters that do not match the text
• Generic structure with repetitive transitions and a formulaic conclusion
• A sudden shift in voice compared with the student's earlier work
• References to class discussion or prompt requirements that are missing entirely

Comparing Against the Student's Own Record

The most reliable evidence comes from comparing the essay to what you already know about the student. Look at earlier drafts, in-class writing, and discussion contributions to see whether the vocabulary, sentence patterns, and level of analysis fit. A real change in quality is possible, so treat the comparison as the start of a conversation.

Version history in tools like word processors can also provide context, showing how a document developed over time. A paper that appears fully formed in a single paste differs from one built in stages across several sessions. This information is not conclusive, but it helps frame a respectful question about process.

Having the Conversation

Approach the student privately and ask them to talk through the essay rather than opening with an accusation. Questions like why they chose a particular scene or how they would explain their thesis in their own words let you hear their thinking. Students who wrote the paper usually answer comfortably, while others may struggle to discuss claims they supposedly developed.

Keep notes on the conversation and follow your school's academic integrity policy if concerns remain. Offer an opportunity to revise or complete a supervised alternative where policy allows, since the goal is to confirm the student's understanding. A fair, documented process protects both the student and the teacher.

Setting Clear Expectations Up Front

Many integrity problems come from unclear rules rather than intentional dishonesty. Tell students precisely what is allowed, such as using AI to brainstorm questions or check grammar, and what is not, such as generating the argument or the body paragraphs. Putting these expectations in writing, with examples, reduces confusion and gives you something to reference later.

It also helps to explain why the rules exist, connecting them to the skills the assignment is meant to develop. Students who understand that the point of an essay on Cheever is to practice interpretation are more likely to respect the boundary. Honest conversations about learning tend to be more effective than threats.

Using Feedback to Reinforce Authentic Writing

Strong, specific feedback on drafts encourages students to invest in their own thinking. When comments respond to the student's particular argument, the work feels worth doing personally. Feedback tools that tie comments to a rubric and to the student's actual text can support this, while teachers add personal notes that reflect knowledge of the individual.

Over time, a classroom culture that values process, revision, and honest effort reduces reliance on shortcuts. Students begin to see that their own ideas, even imperfect ones, earn more credit than a flawless but empty paper. Building that culture is slower than installing detection software, but it pays off in more durable ways.