Teachers assigning essays on well-known stories worry that students will simply ask a chatbot to write the response. A generic prompt about the theme of Asimov's story will produce a competent-sounding essay in seconds. The solution is not to ban the technology but to design assignments that make shortcuts less useful.

Prompts that rely on summary or general themes are the easiest to outsource. Prompts that require students to connect the story to class discussion, personal reasoning, or specific choices are harder to fake. Adding layers of context makes the assignment more authentic and more difficult to automate.

It is also worth being honest about what these assignments are measuring. If the goal is to see how a student reads and thinks, then the process matters as much as the product. Designing for process gives teachers more evidence of genuine understanding.

Prompt features that encourage authentic work

Effective prompts ask students to draw on specific classroom experiences, such as an in-class debate about Margie's school or a particular passage marked during reading. They may require students to reference a quotation they selected earlier in the unit. These requirements anchor the essay in the student's own engagement.

• Require evidence from passages the student annotated during class reading
• Ask students to respond to a classmate's argument made in discussion
• Include a short reflection on how the student's thinking changed during drafting
• Collect planning notes and an outline before the full draft
• Use in-class writing for at least one stage of the assignment

Making process part of the grade

Grading the outline, the draft, and the revision gives students reasons to do the thinking themselves. It also lets teachers see how an essay developed, which is difficult to fake across several stages. A short conference about the draft can quickly reveal whether the student understands their own argument.

Teachers need not treat every irregularity as cheating. Clear conversations about acceptable use, and examples of what support is allowed, reduce ambiguity. Students are more likely to follow expectations that are explained than rules that are simply imposed.

Setting clear expectations about AI use

Be specific about what is allowed. Some teachers permit brainstorming with AI but require all drafting by the student, while others allow feedback tools but not text generation. Writing these expectations in the assignment sheet, and discussing them aloud, prevents students from guessing.

It also helps to explain the reasoning behind the policy. Students who understand that the purpose of the assignment is to develop their own analytical skills are more willing to comply. The story itself, which questions what is lost when machines handle learning, provides a natural way to discuss these issues.

Using tools that support, not replace, student thinking

Not all AI use undermines learning. A tool that provides rubric-based feedback on a student's own draft helps them improve their writing without writing it for them. Distinguishing between feedback tools and generation tools is important when setting policy.

Teachers can use grading tools of their own to review essays efficiently while paying closer attention to signs of authentic voice. When a draft aligns with the student's earlier work and class discussion, the grading can proceed with confidence. When it does not, the teacher has a basis for a thoughtful conversation.