Because Campbell's monomyth is widely discussed online, students can easily generate a generic essay about it with an AI chatbot. These essays tend to be competent but bland, listing stages and offering familiar examples without any distinctive thought. Teachers need to decide how they will handle AI use and communicate clear expectations before assigning the essay.

The first step is to state your policy plainly. Explain whether AI is allowed for brainstorming, outlining, editing, or not at all, and describe what students should do if they use it in a permitted way. Ambiguity creates problems because students will interpret vague guidelines in the way that is most convenient for them.

Explain the reasoning behind the policy as well. Students are more likely to follow rules when they understand that the assignment is meant to build their own analytical skills. Framing the essay as practice for thinking rather than a product to be produced makes the policy feel less arbitrary.

Designing Assignments That Reveal Student Thinking

Prompts that require specific, personal, or local evidence are harder to outsource. Asking students to analyze a story discussed in class, to reference particular passages, or to connect the monomyth to an experience from their own reading makes generic responses easy to spot. Process-based components such as outlines and drafts also provide evidence of authentic work.

• Require quotations or scene references from a class-selected text
• Collect thesis statements and outlines before the full draft
• Include a short in-class writing sample for comparison
• Ask students to reflect on their writing process
• State clearly what forms of AI assistance are acceptable

Responding to Suspected AI Use

When you suspect an essay was written by AI, avoid accusing the student outright. Start with a conversation asking them to explain their argument and describe how they wrote the essay. Their ability to discuss the ideas fluently is often more informative than any automated detector, which can produce false positives.

Document your concerns and follow your school's academic integrity procedures. Consistency across students is important, so apply the same standards to everyone. Treating these situations as learning opportunities, where appropriate, helps students understand why integrity matters.

Focusing Feedback on Authentic Growth

Feedback that references specific choices the student made in their draft reinforces the value of authentic work. When you comment on a distinctive idea or a moment of voice, students see that their own thinking is what earns recognition. This positive reinforcement can reduce the temptation to rely on generated text.

It also helps to normalize revision. Students who expect to revise are less likely to see the first draft as a high-stakes product they must get perfect by any means. Regular feedback cycles make writing a process rather than a single performance.

The Teacher's Own Use of AI Tools

Teachers using AI to support grading should model the transparency they expect from students. Explaining that software helps produce draft feedback that a teacher reviews builds trust and demonstrates responsible use. It also opens a useful conversation about what tools can and cannot do well.

Being honest about the limits of AI in your own workflow also strengthens your credibility when discussing student use. You can point to concrete examples where human judgment was necessary and where automation saved time. That balanced perspective is more persuasive than either enthusiasm or blanket prohibition.