Peer review has long been a staple of writing instruction, but it often disappoints when students give vague comments like "good job" or "fix your spelling." During a The Cay unit, where the writing tasks are focused and the rubric is clear, peer review can be much more productive. Adding AI feedback as a second layer gives students another perspective and reduces the burden on the teacher.

Successful peer review starts with training. Show students a sample paragraph about Phillip and Timothy, and practice giving feedback together using a checklist based on your rubric. Modeling the difference between a helpful comment and an empty one teaches students what to look for when reviewing their classmates.

Limit the focus of each review session to one or two skills. If the goal is evidence and explanation, reviewers should read only for those features and ignore grammar. Narrow focus produces better feedback and keeps students from feeling overwhelmed by a long list of problems.

A structure that works in a single class period

A well-organized peer review can fit into forty-five minutes. Students exchange drafts, read silently, and complete a short form that asks them to underline the claim, highlight the evidence, and write one question for the author. They then discuss their feedback in pairs before returning to revise their own drafts.

• Underline the claim and rate how clear it is
• Highlight two pieces of evidence and note if they fit the claim
• Write one question about something the explanation left unclear
• Name one strength that should stay in the revision
• Suggest one change the author should make first

Where AI feedback fits

AI feedback can complement peer review by catching issues that a classmate may miss, such as an explanation that never connects to the claim. Students can receive automated comments before or after the peer session, then compare the two sources. Seeing where the feedback overlaps and where it differs builds their ability to evaluate advice critically.

Teachers should decide when students see AI feedback and how they use it. Some prefer to have students revise first with peer input and then review AI comments for a final polish. Others provide AI feedback earlier so peers can focus on higher-level ideas without worrying about basic structure.

Teaching students to evaluate feedback

Students should not accept every suggestion automatically. Ask them to record which comments they plan to use, which they will ignore, and why, so they practice judgment about their own writing. This reflection deepens learning and guards against the habit of blindly following whatever feedback arrives.

A short revision memo, in which the student explains what they changed and what they left alone, gives you insight into their thinking. It also helps you spot misunderstandings about the assignment. Over time, students become more confident and independent revisers.

Keeping the teacher's role central

Even with peer and AI feedback in place, the teacher remains the expert who sets goals, interprets progress, and delivers the final assessment. Reviewing a sample of peer comments helps ensure quality and catches mistaken advice before it spreads. Your time is spent on the most consequential decisions rather than on routine correction.

Used together, peer review and AI feedback create a layered system in which students receive multiple perspectives quickly. This can raise the quality of final drafts and reduce the number of basic errors you need to address. The final grading process becomes more focused on what truly requires your judgment.