Classic novels such as Dead Souls are exactly the kind of assignment where students are tempted to use a chatbot. The book is long, the language is unfamiliar, and plenty of general information about it exists online. A polished but generic essay can be produced in seconds, leaving teachers to wonder who actually did the thinking. Addressing this challenge requires thoughtful assignment design and clear policies, not just suspicion.

It is worth acknowledging that no method of detecting AI writing is perfectly reliable. Detection software can produce false positives, particularly for students who write in a formal or simple style, and accusing a student wrongly can cause serious harm. Teachers should be cautious about treating any single tool as proof. Fairness requires evidence that goes beyond a percentage score.

A more sustainable approach is to design assignments that make generic output less useful. When a prompt requires students to engage with specific in-class discussions, particular passages chosen by the teacher, or personal drafts developed over time, a generic essay stands out. Assignments that ask for process artifacts, such as outlines and annotated quotations, also make it harder to outsource the work. These strategies build integrity into the structure of the task.

Clarifying what is and is not allowed

Many integrity problems come from ambiguity. Students may not know whether using AI to brainstorm, check grammar, or summarize a chapter is acceptable, and their assumptions may differ from the teacher's. A clear policy should list permitted uses, prohibited uses, and the requirement to disclose any assistance. Explaining the reasoning behind the policy helps students see it as fair rather than arbitrary.

• State exactly which uses of AI are permitted, such as grammar checking or brainstorming
• State which uses are prohibited, such as generating full paragraphs or analysis
• Require a short note disclosing any tools used and how they were used
• Explain how process evidence, like drafts and outlines, will be reviewed
• Describe the steps that will follow if integrity concerns arise

Designing assignments that reveal real understanding

Prompts tied to specific moments in the reading and to classroom conversation are harder to answer generically. For example, asking students to analyze a passage selected by the teacher from the Plyushkin chapter and to respond to a claim raised in seminar requires local knowledge. Including a short in-class writing component also provides a baseline sample of each student's voice. These elements do not eliminate misuse, but they raise the cost of it.

Oral follow-ups can be valuable as well. A brief conversation in which the student explains their thesis and defends a choice of quotation quickly reveals whether they understand their own essay. Teachers need not conduct these for every student; a random sample can be enough to encourage honesty. Students who did the work usually find the conversation easy.

Handling suspicions fairly

When an essay seems inconsistent with a student's previous work, the first step is a conversation rather than an accusation. Ask the student to describe how they developed their argument, to explain a particular sentence, or to revise a paragraph in front of you. Compare the writing to earlier samples and consider other explanations, such as tutoring or growth. Document the discussion carefully in case follow-up is needed.

Institutions should also ensure that procedures protect students. Consistent processes, clear standards of evidence, and opportunities for appeal make outcomes more fair and defensible. Teachers benefit from knowing their school's policy in advance rather than improvising. Clarity protects both students and staff.

Where grading tools fit into an integrity strategy

Feedback and grading tools can support integrity indirectly by making process-focused assessment more manageable. When teachers can review outlines, drafts, and revisions efficiently, they can grade the development of ideas rather than just the final product. This shifts attention toward the thinking students actually do. It also gives teachers a richer record of each student's work.

Ultimately, the strongest safeguard is a classroom culture that values learning over output. When students see the purpose of the assignment and receive useful feedback on their own ideas, they have less reason to hand the task to a machine. Combining thoughtful design, clear policy, and respectful conversation offers the best chance of maintaining integrity. Technology alone cannot replace those human elements.