A well-known novel like When the Legends Die is exactly the kind of text that students can ask an AI chatbot to summarize or analyze in seconds. Teachers worry, reasonably, that essays may no longer reflect student thinking. Policing every paper with detection software is unreliable and creates an adversarial atmosphere. A better approach combines clear policies, thoughtful assignment design, and grading practices that make authentic work easier to recognize.

Start by communicating expectations explicitly. Tell students whether and how AI tools may be used, whether for brainstorming, grammar checking, or not at all. Vague policies lead to honest misunderstandings and uneven enforcement. Put the policy in writing on the assignment sheet and discuss it in class so everyone hears the same message.

Assignment design also matters. Prompts that require students to connect the novel to class discussions, specific passages the teacher selected, or personal reflections are harder to outsource. Process requirements such as outlines, annotated passages, and drafts create a record of student thinking. These artifacts make it easier to see how an essay developed.

Build Process Into the Grade

When the grade depends only on a final product, the temptation to shortcut the process is strong. Awarding credit for planning documents, drafts, and revision notes shifts emphasis toward the work of writing. It also gives you a basis for conversations if a final essay looks inconsistent with earlier work. Students learn that thinking is what is being assessed.

• State clearly what AI use is allowed and what is not
• Require outlines, drafts, or annotated passages as part of the grade
• Use prompts tied to class discussions and specific passages
• Include short in-class writing to establish a baseline voice
• Ask students to explain their argument orally if questions arise

Use In-Class Writing as a Baseline

Short in-class writing samples give you a sense of each student's natural voice, vocabulary, and typical errors. When a take-home essay differs sharply from that baseline, it may warrant a conversation. This approach is more reliable than automated detectors, which can produce false positives. It also treats students fairly by starting from a discussion rather than an accusation.

If concerns arise, ask the student to talk through their argument or rewrite a paragraph under supervision. Students who wrote the essay themselves can usually explain it with ease. Those who did not often struggle. Frame these conversations as part of understanding their work rather than as a trap.

Teach Responsible Use Where It Fits

Some teachers choose to allow limited AI use, such as brainstorming questions or checking grammar, and teach students to do so responsibly. In this case, ask students to disclose how they used the tools and to reflect on what they learned. This transparency models ethical practice. It also provides context when evaluating the work.

Remind students that the purpose of the assignment is to develop their own reading and writing skills. Using a tool to replace thinking defeats that purpose, even if no rule is broken. Conversations about why the work matters can be more persuasive than warnings. Students are more likely to engage honestly when they see the point.

Align Grading With Authentic Skills

Rubrics that reward specific engagement with the text and the class conversation naturally favor authentic work. Criteria such as "refers to ideas discussed in seminar" or "analyzes a passage selected from class" are difficult for generic outputs to satisfy. They also encourage students to attend to the learning that happens in class. Grading in this way supports integrity without extra surveillance.

Finally, stay current as tools and norms change. Share strategies with colleagues, revise policies as needed, and involve students in discussing what fair use looks like. A flexible, communicative approach adapts better than a rigid one. The goal is a classroom where students want to do the thinking themselves.