Teachers worry that students will use AI to write essays on novels they have not read, and that concern is reasonable. A generic prompt about the themes of The Sound of Waves can be answered by a chatbot in seconds with plausible but shallow content. The better response is not just detection but assignment design that makes real engagement with the text necessary. When the task demands specific evidence and personal reasoning, outsourcing becomes much less effective.

One effective approach is to require students to use specific passages chosen from the class edition, with page numbers, and to explain them in detail. Generic AI output tends to refer to the novel in broad terms and often gets scene details wrong. Asking for a quotation from a particular chapter, along with an explanation of its context, makes it much easier to spot work that is not grounded in the book. It also encourages students to read closely.

Another strategy is to connect the essay to in-class activities that AI cannot replicate. A prompt might ask students to build on an idea they developed in a seminar, or to respond to a specific annotation they made in their own copy of the novel. Because these materials are unique to the classroom, a generic response will not fit. This ties the writing to the learning process rather than treating it as an isolated product.

Make process visible

Requiring drafts, outlines, and revision memos creates a trail that shows how an essay developed. A student who submits only a finished product with no earlier stages raises more questions than one who has documented their thinking. Short in-class writing samples can also give you a baseline for the student's voice and ability. Together, these practices make it easier to have an honest conversation if something seems off.

• Require quotations with page numbers from the class edition
• Tie prompts to seminar discussions or in-class annotations
• Collect outlines and drafts to show the development of ideas
• Use short in-class writing to establish each student's voice
• State clearly what kinds of AI use are allowed and what are not

Set clear and specific AI policies

Ambiguity about AI use creates confusion and unintentional violations. Tell students exactly what is permitted, such as brainstorming ideas or checking grammar, and what is not, such as generating paragraphs or analysis. Provide examples so the boundaries are concrete. If limited use is allowed, ask students to note how they used it, which encourages transparency and reflection.

Discuss the reasons behind the policy rather than simply enforcing it. Students are more likely to follow rules they understand, and they may appreciate that the purpose of the essay is to develop their own thinking. Explaining that the skill of building an argument from a text is the goal, not just the finished paper, helps reframe the assignment. This conversation can also surface questions you had not anticipated.

Use grading practices that reward original thought

Rubrics that reward specificity, original interpretation, and accurate use of detail naturally favor genuine work. Generic or vague content earns lower scores regardless of how it was produced. When the standards are clear, students see that shortcuts do not pay off. This shifts the focus from policing to teaching.

Teachers can also use rubric-based grading tools to evaluate work against these criteria consistently, flagging essays that lack textual specificity. These flags are prompts for a conversation, not accusations. Combining thoughtful assignment design with clear policy and consistent grading creates an environment where students are encouraged to do their own work. That is a more sustainable approach than relying on detection alone.