A Lesson Before Dying is exactly the kind of assigned novel that generative AI tools can summarize and analyze with surface-level competence. Teachers are understandably concerned that students will submit essays that reflect a chatbot's thinking rather than their own. Setting clear expectations and adjusting assignment design are more reliable responses than trying to catch every instance.

Ambiguity is the biggest source of problems. If students do not know whether it is acceptable to use AI to brainstorm, outline, or check grammar, they will make their own decisions, often in ways teachers would not approve. A short written policy that names specific permitted and prohibited uses removes much of that uncertainty.

The policy should also explain the reasoning behind the rules. Students are more likely to follow expectations when they understand that the purpose of the essay is to develop their own interpretation of the novel. Framing the policy around learning rather than punishment encourages honesty.

What a Useful Policy Includes

A clear policy states which tasks may involve AI, what students must disclose, and what consequences apply to violations. For example, you might allow AI to explain unfamiliar vocabulary from the novel but prohibit it from generating thesis statements or paragraphs. Disclosure requirements, such as a brief note describing any AI assistance, promote transparency.

• Lists specific permitted uses such as vocabulary help or grammar checks
• Names prohibited uses such as generating claims or full paragraphs
• Requires a short disclosure statement with each submission
• Explains the learning purpose behind the restrictions
• Describes how questions about authorship will be handled

Designing Assignments That Reveal Student Thinking

Assignments that rely on personal engagement with the text are harder to outsource. Ask students to connect a specific passage discussed in class to their own interpretation, or to respond to a classmate's argument from a seminar. Include stages such as annotated excerpts, in-class outlines, and short conferences that create a visible record of their thinking.

Process-based grading also helps, since it rewards the steps that lead to a strong essay. When students submit notes, drafts, and revision memos, teachers gain a clearer picture of who did the work. This shifts the focus from policing to coaching.

Handling Suspected Misuse Fairly

Automated detectors are not fully reliable and can wrongly flag honest students, so they should not be the sole basis for accusations. A better approach is to talk with the student about their essay and ask them to explain their argument and evidence. Someone who wrote the paper can usually discuss it with ease.

Document your process and follow school policy to ensure fairness. Treat the conversation as an opportunity to understand what happened rather than as an interrogation. This protects both the student and the teacher.

Where Teacher-Controlled AI Fits

It is important to distinguish between students using AI to write and teachers using AI to support grading. When a teacher uses a tool to apply a rubric and draft feedback, the teacher remains in control of the evaluation and the final grade. This use can save time without compromising the integrity of student work.

Being open about how you use technology in your own practice also models responsible behavior. Students see that AI can be a tool that serves human judgment rather than replaces it. That message reinforces the values behind your classroom policy.