A prompt like "discuss the theme of honesty in The Curious Incident of the Dog in the Night-Time" is easy for any chatbot to answer in seconds. The result is often a competent but generic essay that could be about any reader's experience of the book. Teachers concerned about authenticity can respond not by banning tools but by designing assignments that require student-specific thinking.

One effective approach is anchoring the assignment in class discussion or personal annotation. A prompt might require students to build an argument around a passage they marked in their own copy and a point raised during a class conversation. Generic outputs struggle to incorporate material they have never seen, and the student's engagement with the work becomes visible.

Process evidence also helps. Asking for a planning document, an annotated passage, and a short reflection on revision decisions makes the thinking behind the essay part of the grade. A student who has done the work will find these components natural, while a student who outsourced the essay will find them difficult to fake convincingly.

Use Specific, Local Prompts

Prompts that require close attention to a particular moment produce more individual responses. Asking students to analyze how a specific sentence from the station scene shapes the reader's understanding of Christopher's anxiety demands precise engagement with the text. Broad prompts about themes invite recycled summaries.

• Ask for analysis of a specific passage chosen by the student and approved by the teacher
• Require reference to a point made in a class discussion or small-group conversation
• Include a short in-class writing component to establish the student's baseline voice
• Request a revision memo explaining what changed between drafts and why
• Grade planning notes and annotations as part of the overall assignment

Set Clear Expectations About AI Use

Students need to know what is allowed. Your policy might permit AI for brainstorming but not for drafting, or allow it for grammar checks while requiring disclosure. Ambiguity creates problems, since students may assume that a tool is acceptable when you intended otherwise.

Put the policy in writing on the assignment sheet and discuss it in class. Explain the reasoning, such as the importance of building independent analytical skills. When students understand why a rule exists, they are more likely to follow it and to ask questions when unsure.

Avoid Relying on Detection Alone

Automated detectors are unreliable and can produce false accusations that damage trust. A better approach is to compare the submitted essay with the student's known writing, ask them to discuss their argument in conversation, and look for the process artifacts described above. Evidence from several sources gives a fairer picture than a single score from a tool.

If you suspect a problem, begin with a conversation instead of an accusation. Ask the student to explain a paragraph or choose a different passage to analyze on the spot. Often the discussion will clarify the situation without requiring formal proceedings.

Use Feedback Tools Responsibly

Teachers can use AI to grade and give feedback while still teaching students to write their own essays. Using a tool to evaluate student work is different from asking it to produce the work. Being open about how you use technology models the thoughtful approach you hope students will take.

Quality assignments and honest conversations will serve you better than any technical fix. When students see that the assignment values their own interpretation, they have more reason to do the thinking themselves. That alignment between assessment and learning is the best protection of academic integrity.