A major study of how students and teachers are adapting to AI found that most students lean on it for what researchers call executive help, meaning quick answers with little effort. The same research found that faculty guidance meaningfully increased instrumental help, where students use AI to clarify concepts and build their own skills. In an experiment with a writing tool built for brainstorming and editing, students said it helped them sharpen arguments and consider counterarguments instead of shortcutting the assignment. The lesson for teachers is that the way AI is introduced shapes how it is used.

Many students are unsure where the line between help and cheating actually sits. A student who asks a chatbot to explain a confusing prompt and a student who asks it to write the introduction are doing very different things, yet both may describe their behavior as getting help. Without explicit teaching, students fill the gap with whatever seems convenient, and the most convenient option is usually the one that saves the most effort.

Teachers can address this by naming specific uses and sorting them into permitted and not permitted for each assignment type. The sorting should be concrete enough that a fifteen-year-old can apply it at eleven at night without needing to ask you what you meant. A short, reusable chart posted in your learning management system and repeated on each prompt sheet does far more than a long policy statement that students read once in September.

Draw the line by purpose, not by tool

Tool-based rules age quickly, because the same capabilities appear in new apps every month. A purpose-based rule is sturdier: AI may help students understand, plan, and check their thinking, but the sentences that go into the final essay must come from the student. Under that rule, asking for a list of questions to consider about a novel is fine, while asking for a finished paragraph is not.

• Allowed: asking AI to explain a concept or a term in the assignment prompt.
• Allowed: asking for counterarguments to a claim the student has already written.
• Allowed with disclosure: asking for feedback on a draft the student wrote.
• Not allowed: generating thesis statements, paragraphs, or conclusions for submission.
• Not allowed: rewriting whole passages and submitting the result as the student's own.

Model good use in class

Show students what acceptable use looks like by working through a live example. Take a weak thesis from a past class with the name removed, ask an AI tool for questions that might strengthen it, and then revise the thesis yourself while explaining your decisions aloud. Students see that the tool supplied prompts for thinking but that the judgment and the final wording were human.

A parallel activity asks students to critique an AI-generated paragraph against the class rubric, scoring each criterion and justifying the score. They quickly notice that the text is fluent but often vague, short on specific textual evidence, and oddly generic about the book or topic. That exercise teaches rubric language and builds healthy skepticism about the output at the same time, which is a skill students will need well beyond your classroom.

Require disclosure and reflection

A short disclosure statement at the end of an essay asks students to note any tools they used and how they used them. When disclosure is expected and safe, students are more likely to be truthful, and teachers can tell the difference between permitted help and real misuse. Several institutions report that disclosure-based policies reduce disputes because they leave much less room for argument about what the rules meant.

Pair disclosure with a brief reflection on one revision decision, such as why the student changed a claim after considering a counterargument. The reflection reveals genuine engagement with the work and gives you something specific to grade. It also builds the habit of explaining choices, which is a skill employers value in a workplace that increasingly expects responsible AI use.

Grade the thinking you can see

A rubric that rewards the quality of claims, evidence, and reasoning keeps attention on learning instead of on policing. Feedback tied to those criteria tells students what to improve regardless of how the draft started, which makes the comments useful even in a classroom where some AI help is allowed. Rubric-aligned drafting tools can help teachers deliver that kind of criterion-level feedback to large classes, provided the teacher reviews each comment before release.

Revisit the guidelines each semester as tools and student habits change, because last year's chart will not describe this year's apps. Ask students which uses they found helpful and which they found tempting, and adjust your categories according to what they tell you. A policy that evolves with the classroom earns more respect than one handed down once and ignored, and it keeps the conversation about writing honest.