Essays about well-known novels are among the easiest assignments for students to outsource to a chatbot. The Turn of the Screw has decades of published commentary, and an AI system can produce a fluent, plausible essay on the governess in seconds. Teachers who assign these essays now have to think carefully about what they are really assessing.

Detection tools are unreliable and can produce false accusations, which damages trust with students. A more sustainable strategy is to design assignments and grading practices that make genuine engagement visible. When the process is part of the grade, the final product alone matters less.

This shift is not just about preventing misuse. It also aligns with good writing instruction, which has long emphasized drafting, feedback, and revision. Process-based grading rewards the habits that produce better writers, whether or not AI is present.

Make the Thinking Visible

Teachers can require students to submit intermediate work such as annotated passages, thesis drafts, and outlines. These artifacts show how an argument developed and are difficult to fake convincingly at every stage. Short in-class writing tied to the same text can also give teachers a baseline for each student's voice and level.

• Require annotated quotations that show the student's own reading of key scenes
• Collect a thesis and outline before the full draft is due
• Use short in-class writing to establish each student's natural voice
• Ask for a brief reflection explaining revision choices between drafts
• Hold short conferences where students explain their argument aloud

Design Prompts That Resist Generic Answers

Generic prompts produce generic essays, which are easy for AI to generate. Prompts that require students to use a specific class discussion, a particular passage chosen from a limited set, or a personal connection to their own reading experience are harder to outsource. For example, asking students to respond to a point raised in the seminar makes the assignment more individual.

Clear expectations about permitted AI use also help. Some teachers allow AI for brainstorming but not drafting, while others prohibit it entirely. Whatever the policy, students should know it in advance and understand how to cite any help they receive.

Grading Tools That Support Process and Integrity

Rubrics can include criteria for evidence of process, such as thoughtful revision between drafts and accurate, specific references to class discussions. These criteria reward students who engage authentically and give teachers a defensible basis for grades. They also reduce reliance on guesswork about authorship.

AI grading tools can assist by providing consistent feedback at each stage, making frequent checkpoints practical without overwhelming the teacher. The teacher uses the tool's output and their own knowledge of each student to evaluate authenticity. Together, these practices keep the focus on learning rather than policing.