A student can now request an essay on Richard III's manipulation of Lady Anne and receive a polished, grammatically clean response within seconds. For teachers, this raises a difficult question: how do you grade writing when you cannot be sure who produced it? Detection tools are unreliable and can produce false accusations, so many schools are shifting their attention toward assignment design and assessment practices. The goal is to make authentic thinking visible and worth rewarding.

Generic essays on famous plays share a recognizable quality. They offer broad claims about ambition and manipulation, cite well-known scenes, and conclude with a tidy statement about the cost of power. What they usually lack is a particular angle, a surprising observation, or evidence connected to what was discussed in your classroom. Assignments that require those elements are harder to outsource and more interesting to read.

Clear policies reduce confusion and conflict. Students should know whether AI tools are allowed for brainstorming, outlining, or feedback, and what must be entirely their own work. Ambiguity tempts students to push boundaries and makes enforcement unfair. A short written statement attached to each assignment, with examples of acceptable and unacceptable use, helps students make good choices.

Designing assignments that surface real thinking

Anchor prompts in class-specific material. Ask students to respond to a particular interpretation raised in discussion, to analyze a performance clip you viewed together, or to apply a concept from a mini-lesson on dramatic irony to a scene of their choosing. These requirements create a link between the essay and the shared experience of the course, which a chatbot cannot replicate without detailed input from the student.

• Require a process component, such as a brainstorm, outline, or annotated passage submitted before the draft
• Ask for a short in-class writing sample that establishes each student's baseline voice
• Include a brief reflection explaining how the student's argument changed during drafting
• Use prompts that require reference to specific class discussions or activities
• Follow up with a short conversation about the essay for a sample of students

What to look for when reading

Rather than hunting for signs of AI use, evaluate essays against the rubric and note where the work falls short. Generic essays often score poorly on evidence and analysis because they lack specific textual support and rely on abstract claims. If an essay is smooth but empty, the rubric itself should lead to a modest score, which handles the issue without requiring an accusation.

When a paper seems inconsistent with a student's earlier work, treat it as a prompt for conversation rather than a verdict. Ask the student to explain their thesis, walk through the evidence, and describe how they wrote the paper. Students who did the work can usually discuss it fluently, and those who did not often struggle in ways that clarify the situation.

Using AI constructively in the classroom

Some teachers find value in having students critique AI-generated essays, identifying weaknesses in evidence or analysis. This exercise develops evaluative skills and demonstrates the limits of generic writing. A student who can explain why a chatbot's paragraph about Richard's villainy lacks depth has internalized the criteria for good analysis.

AI tools also have a place on the teacher's side of the desk, particularly in generating rubric-aligned feedback that helps students revise. When used transparently, they can support learning rather than replace it. The key is to keep human judgment at the center and to be clear with students about the role technology plays in both writing and grading.

Building a sustainable approach

No single strategy solves the challenge, but combining several works well. Process requirements, class-specific prompts, clear policies, and conversations about student work together create an environment in which authentic effort is the easiest path. Schools that discuss these practices as a department tend to adopt more consistent and fair approaches.

Revisit your approach each semester as tools evolve. What works today may need adjustment next year, and students will continue to find new ways to use technology. Staying informed, listening to students, and focusing on what you want them to learn will keep your grading practices grounded and defensible.