Unbroken is widely discussed online, which means AI writing tools can produce competent generic essays about it in seconds. Teachers understandably worry that students will submit such work as their own. Detection software is unreliable and can lead to false accusations, so many educators are shifting to assignment design as the more sustainable solution. Thoughtful design makes authentic student thinking both required and visible.

Begin by tying prompts to class-specific experiences. Ask students to respond to a discussion that occurred in your room or to analyze a passage you annotated together. A prompt like "Using the passage we examined in Tuesday's seminar, explain how Hillenbrand builds tension" is harder for a generic tool to answer convincingly. Local context anchors the writing in the student's own learning.

Require evidence that shows the student engaged with the text directly. This could include page numbers, chapter references, or annotated excerpts submitted alongside the essay. Although not foolproof, these requirements make it harder to rely on summaries produced elsewhere. They also encourage better reading habits.

Making the Process Visible

Process-based assignments reveal how a student's thinking develops. Ask for a brainstorm, an outline, a first draft, and a reflection on revisions. When you can see the evolution of an essay, it is easier to spot work that appears suddenly and does not match earlier stages. Process artifacts also provide teachable moments and support fairness in grading.

• Collect planning notes and drafts along with the final essay
• Include a short in-class writing sample for comparison
• Ask students to explain a key choice in a brief conference
• Require a reflection describing what changed between drafts
• State clearly what forms of AI assistance are and are not allowed

Setting Clear Policies

Students often misuse AI tools because expectations are unclear. Explain in writing what is acceptable, such as brainstorming or grammar checking, and what is not, such as generating full paragraphs. Discuss the reasons behind the policy, emphasizing that the goal is to develop their own skills. When students understand the purpose, they are more likely to follow the rules.

Consider requiring students to disclose any AI use in a brief note. Normalizing disclosure reduces secrecy and gives you information about how students are using the tools. It also shifts the conversation from punishment to responsible practice. Adjust your policy over time as you learn what works.

Grading in an AI Era

Your rubric can help by rewarding features that are hard to fake. Specific references to class discussions, original interpretations, and personal voice are all valuable. Generic analysis that could apply to any book should earn lower scores regardless of who wrote it. This approach discourages outsourcing without relying on accusations.

When you suspect that a paper is not the student's own work, have a conversation before taking action. Ask them to explain their argument or discuss a passage they cited. Their responses will usually clarify the situation. This approach is fairer than relying on a detection score.

Using AI Responsibly Yourself

Teachers can model responsible AI use by being open about how they use tools such as AI-assisted grading. Explain that the tool applies the rubric to give faster feedback and that a human reviews the results. Students appreciate honesty and are more likely to respect boundaries when the adults follow their own standards. Transparency builds a culture of trust.

Finally, keep the conversation going. Technology and student habits will continue to change, so revisit your policies each semester. Share strategies with colleagues and adapt them to your context. A flexible, informed approach serves students better than any single rule.