Few assignments are as exposed to AI-generated text as the classic novel essay. A short, well-known book like In Country has plenty of online summaries and analyses, which means a student can produce a plausible essay in seconds. Teachers must decide how to respond, and ignoring the problem is rarely sustainable. A clear policy, communicated early, protects both academic integrity and the learning the assignment was meant to produce.

Start by deciding what role, if any, AI should play in your assignment. Some teachers allow brainstorming help but not drafting, while others prohibit generative tools entirely for the final essay. Whatever you choose, state it explicitly in the assignment sheet and explain the reasoning. Students are far more likely to follow a rule they understand than one that seems arbitrary.

Ambiguity is the main source of conflict. A student who uses a chatbot to "fix grammar" may genuinely not realize that the tool also rewrote their arguments. Define the boundaries with examples, such as permitting spelling and grammar checks but not content generation. Concrete examples reduce misunderstandings and make enforcement fairer.

Designing assignments that resist generic output

Assignments that require specific engagement with class discussion and particular passages are harder to outsource. Ask students to analyze a scene you discussed together, connect an idea from a classroom activity, or respond to a prompt that references their own journal entries. Generic AI output tends to lack these local details. The more tied an essay is to your classroom, the more it reveals the student's own thinking.

• Require brief in-class drafting of the thesis and one body paragraph
• Ask students to cite page numbers and explain why each passage was chosen
• Collect process work such as outlines, notes, and early drafts
• Include a short reflection on how the argument changed during revision
• Use prompts that connect to class discussion or personal journal entries

Responding when something looks off

When an essay seems unlike a student's earlier work, resist the urge to accuse. Detection tools are unreliable and can produce false positives, so they should never be the sole basis for a decision. Instead, have a conversation. Ask the student to explain their argument, discuss a passage they cited, or revise a paragraph in front of you. Genuine authors can usually do this easily.

Document the process and follow your school's policy. Keeping a record of the assignment instructions, the student's earlier work, and any conversation protects everyone involved. If a violation is confirmed, consider whether an opportunity to redo the work under supervision serves the learning better than a zero. The response should match your values and your institution's guidelines.

Using AI thoughtfully on the teacher side

Teachers can use AI tools responsibly too, especially for first-pass feedback aligned to a rubric. When students know that feedback is generated against transparent criteria and reviewed by their teacher, the tool becomes a visible part of the learning process rather than a hidden shortcut. This models appropriate use. It also shows that technology can support learning without replacing the human judgment at its center.

Transparency is the key. Tell students how you use AI in grading, what it can and cannot do, and who makes the final decisions. This builds trust and invites honest conversations about the role of technology in writing. Students are more likely to be honest about their own use when they see you being honest about yours.

Building a culture of authentic writing

Policy alone will not make students want to write their own essays. They need to see the work as meaningful, which means connecting assignments to questions they care about. For In Country, that might mean asking how a teenager's search for family history resonates with their own experiences. Authentic engagement reduces the temptation to outsource.

Celebrate good process as much as good product. Recognize students who revise thoughtfully, ask strong questions, or improve across drafts. When effort and growth are visible and valued, the incentive to cut corners shrinks. Over time, this culture is more effective than any detection method.