Peer review is one of the most effective ways to improve student writing, yet it often fails in practice because students do not know what to look for. In a unit on Murder City, classmates may offer comments like "good job" or "needs more detail" that do little to help the writer revise. A structured workflow gives reviewers specific tasks and gives writers feedback they can actually use.

The foundation of a good peer review is a short, focused checklist tied to the assignment rubric. Rather than asking reviewers to evaluate everything, assign them two or three tasks such as identifying the thesis, marking where evidence appears, and noting one place where the argument is unclear. Limiting the scope keeps the process manageable and produces more useful comments.

Training is equally important. Before students review each other's work, practice on a sample essay as a class, discussing which comments are helpful and which are vague. This brief exercise sets expectations and raises the quality of the feedback that students give one another.

Structure the Review Around Questions

Questions work better than verdicts in peer review. Asking a reviewer to describe in one sentence what the essay is arguing reveals immediately whether the thesis is clear to a reader. Asking where the reviewer got lost shows the writer exactly where the organization or explanation breaks down.

• In one sentence, what is this essay arguing about Murder City?
• Which piece of evidence from the book is most convincing, and why?
• Where does the writer summarize when they could be analyzing?
• What objection or alternative view does the essay address, if any?
• What is one specific change that would make the argument stronger?

Add AI Feedback as a Second Layer

AI-generated feedback can complement peer comments by checking the draft against the rubric. It might notice that the thesis lacks a clear claim or that a body paragraph contains no direct reference to the text. Students then receive two perspectives, one from a classmate who reacted as a reader and one from a tool that evaluated the draft against the criteria.

It is helpful to teach students to treat both sources critically. Neither a peer nor an AI tool is always right, and students should decide which suggestions to accept and explain why. Asking writers to submit a short revision note listing the changes they made and the feedback that prompted them builds metacognition.

Keep the Teacher in the Loop

Teachers should monitor the quality of the process, not just collect the final products. Reading a sample of peer comments and AI feedback each round helps you identify misunderstandings and correct them quickly. It also shows you which parts of the rubric students find confusing.

Your own comments can then be saved for the issues that students and tools are least likely to catch. These often involve subtle matters of interpretation, historical accuracy, or tone when discussing violence. Concentrating your time on those questions makes the whole workflow more efficient.

Grade the Process as Well as the Product

Awarding a small portion of the grade to participation in peer review and revision signals that the process matters. Students who give thoughtful feedback and make meaningful changes should be recognized. This also reduces the temptation to treat review as a formality to be finished quickly.

Over a semester, comparing first drafts to final versions shows which students are developing as writers. This longitudinal view is often more informative than any single essay grade. It also provides concrete evidence to share with students about their growth.