Peer review has a mixed reputation among English teachers, and for good reason. Left unstructured, it often produces comments like "looks good" or "fix the spelling," which do little to improve writing. When students are given clear criteria and guided questions, however, they can give surprisingly useful feedback to each other. Adding AI-generated prompts can strengthen that structure without replacing the human element.

A unit on The Member of the Wedding is a good place to try this model because students share a common text and can help each other check evidence. When one student writes about Frankie's fantasies and another about Berenice's stories, each can verify the accuracy of the other's quotations. This shared knowledge makes their feedback more credible. It also encourages students to reread the novel with a purpose.

Begin by training students on what to look for. Model a peer review session with a sample paragraph, showing how to identify the thesis, evaluate the evidence, and comment on the analysis. Give them sentence starters such as "I was confused when..." or "Your strongest evidence is..." to make their comments concrete. This preparation is essential if you want more than superficial responses.

A Three-Step Peer Review Cycle

A workable cycle has three steps. First, each student receives feedback prompts generated from the rubric, which can be produced by hand or with an AI tool. Second, partners exchange essays and respond to the prompts in writing. Third, the writer reflects on the comments and decides which to act on. The teacher circulates during the process, offering help and observing patterns.

• Identify the thesis in one sentence and tell the writer whether it is arguable
• Mark the strongest piece of evidence and explain why it works
• Point to one place where the analysis needs more explanation
• Check that every quotation from the novel is introduced with context
• Suggest one change that would make the essay more convincing

Where AI Support Fits

AI tools can help by generating tailored questions for each essay based on the rubric, such as "Where does the writer explain why this quotation matters?" These questions give peers a starting point and reduce the chance that they overlook key issues. The tool can also flag sections that appear to lack evidence or analysis, giving reviewers targets to check. The teacher should review the prompts to ensure they are accurate and appropriate.

It is important to distinguish between using AI to guide review and using it to replace student thinking. The goal is for students to practice evaluating writing, not to outsource that judgment. Encourage them to compare the tool's suggestions with their own impressions, and to note where they agree or disagree. This comparison builds critical thinking and prevents blind reliance.

Managing Classroom Logistics

Successful peer review depends on good logistics. Pair students strategically, matching stronger writers with those who need support, but avoid making the dynamic feel hierarchical. Set time limits for each stage so the activity stays focused, and provide a simple form for recording comments. Collecting the forms allows you to see how well students are applying the criteria.

Consider grading the quality of the feedback itself, perhaps with a small participation score. This signals that thoughtful review is valued and encourages students to take it seriously. You can also ask students to rate how helpful the comments were, which provides useful data. Over time, the class develops a culture of constructive critique.

Measuring the Impact

To evaluate whether peer review is working, compare drafts before and after the process. Look for improvements in thesis clarity, use of evidence, and organization. If the changes are minor, adjust the prompts or add more modeling. Small tweaks often lead to major improvements.

The benefits extend beyond individual essays. Students who review others' work become better at spotting weaknesses in their own writing, and they gain a shared vocabulary for discussing quality. For teachers, the process reduces the volume of basic feedback needed at the final grading stage. This frees up time to focus on higher-level issues that require expert judgment.