A text as widely taught as The Wild Duck is exactly the kind of subject that AI chatbots and study sites can discuss fluently. A generic prompt about truth and illusion will return polished paragraphs that sound plausible and say very little that is specific to your classroom. Teachers are right to worry, but the answer lies more in assignment design than in detection.

AI-generated essays tend to share recognizable weaknesses. They summarize themes in broad terms, rely on famous quotations, and avoid committing to a debatable position. They rarely engage with the particular discussions, handouts, or passages emphasized in a given class, which gives teachers an opening to design prompts that require that engagement.

Clear policies matter just as much as clever prompts. Students should know whether AI may be used for brainstorming, outlining, or language support, and what must be their own work. Ambiguity leads to accidental violations, while a written policy with examples of acceptable and unacceptable use helps students make good decisions.

Designing Assignments That Reward Original Thinking

Prompts that anchor students in specific classroom material are harder to outsource. Asking students to analyze a particular passage chosen by the teacher, or to respond to an argument made in class discussion, requires knowledge that a chatbot does not have. Including a personal interpretive judgment, such as which character they find most responsible and why, also demands engagement.

• Require quotations from a passage assigned in class and annotated by the student beforehand
• Ask students to respond to a specific claim made in discussion or on a handout
• Include a short in-class writing sample to establish each student's baseline voice
• Collect drafts and planning notes in stages instead of only a final submission
• Add a brief oral conference or reflection where the student explains their argument

Grading With Integrity in Mind

Rubrics can discourage generic writing by rewarding specificity. A criterion for evidence that requires citation of act and scene, and explanation tied to the student's thesis, naturally penalizes vague, unsupported text. Students who rely on generated content often score poorly on this dimension even when the prose is fluent.

Be cautious about accusing students based on detector software alone. These tools produce false positives, particularly for multilingual writers and students with formal styles, and wrongful accusations damage trust. A better approach is to compare the essay to the student's previous writing and discuss the work with them directly.

Conversations With Students

If you suspect a problem, start with a conversation rather than a punishment. Ask the student to explain their thesis, describe how they chose their evidence, and summarize a body paragraph aloud. A student who wrote the essay can usually do this easily, while a student who did not often struggles.

These conversations also create an opportunity to clarify expectations. Some students use AI without understanding that it violates the assignment, and a calm discussion can correct the misunderstanding. Treating integrity as part of learning, not only enforcement, builds more lasting habits.

A Role for AI in Feedback, Not Authorship

There is an important difference between students using AI to write essays and teachers using AI to respond to them. A grading tool that applies a rubric, drafts feedback, and leaves final decisions to the teacher does not replace student thinking. It helps teachers return feedback faster, which supports a process-oriented classroom where drafts are valued.

Fast feedback on drafts also reduces the incentive to cheat. Students who receive useful comments within days and can revise their own work are less likely to feel desperate on the due date. Process and integrity often reinforce each other.