A Fault in Our Stars unit in ninth or tenth grade often produces more writing than any other unit in the year. Students complete reading responses, a draft, and a final analysis, and each of those pieces deserves feedback. For a teacher with 150 students, the numbers do not work without some help. AI essay grading has become one option, and it is worth looking at where it actually fits.

The most natural fit is the draft stage. Students submit a rough draft of their analytical essay, and an AI tool generates feedback aligned with the class rubric, flagging things like a missing thesis or evidence that is not explained. Students then revise before the teacher ever reads the final version. That means the teacher's own time goes toward papers that have already benefited from one round of improvement.

Ninth and tenth graders are still developing core habits, and they benefit from frequent, specific feedback. A student who receives a comment on a weak paragraph the same day it is written is far more likely to act on it than one who gets it two weeks later. AI tools shorten that feedback loop considerably. The result is more revision, which is where most writing growth happens.

Where AI Grading Helps Most

Structural and rubric-based checks are where automation performs reliably. Does the essay have an arguable thesis, does each body paragraph include evidence, and is that evidence followed by explanation? These questions apply to every paper, and a tool can answer them consistently at any hour. The teacher benefits from a first look at every essay without having to spend an evening on repetitive comments.

• Checking each essay against the shared rubric with the same standard every time
• Flagging missing thesis statements or unexplained quotations from the novel
• Drafting first-pass comments that a teacher can edit and personalize
• Giving students fast feedback on drafts before the final submission
• Highlighting class-wide patterns to guide the next mini-lesson

Where Teacher Judgment Still Leads

Some parts of a Fault in Our Stars essay require human context. A student who writes about Hazel's fear of being a burden may be drawing on personal experience, and the way that shows up in the writing deserves a teacher's careful reading. Voice, originality, and risk taking are difficult to score mechanically. Teachers also know things about their students that no tool can, such as who is working through a hard semester or who has made surprising progress.

For that reason, the strongest practice is to treat AI output as a draft that the teacher reviews. The teacher can accept a comment, rewrite it, or delete it, and the final score always reflects human judgment. This keeps accountability where it belongs and prevents students from receiving feedback that misreads their intent. It also preserves the relationship between teacher and student, which feedback is meant to strengthen.

Setting Up the Unit Sensibly

A sensible rollout begins with a small step. Try the tool on one assignment, such as a single body paragraph about a chosen scene, and compare its feedback with your own on a handful of papers. Look at whether the comments are accurate, whether they align with your rubric, and whether students understand them. Adjusting the rubric language after this test tends to improve results significantly.

Communicating clearly with students and families also matters. Explain that the tool gives feedback on drafts and that the teacher determines final grades, and describe what students should do with the comments they receive. Students who understand the purpose treat the feedback as a revision aid rather than a verdict. That framing keeps the focus on learning, which is the point of the whole unit.