Peer review is a long standing writing classroom practice, but it often disappoints when students lack the skills to give useful comments. In a Feed unit, a peer might say "I liked your thesis" without explaining what makes it effective or how it could improve. Pairing peer review with structured AI feedback can raise the quality of the process considerably.

Each type of feedback offers something different. Peers provide an authentic audience and a human reaction, while AI tools provide consistent, rubric based observations. Together they give students multiple perspectives on the same draft, which can reveal issues a single reader might miss.

The goal is not to replace the teacher but to extend the amount of feedback each student receives before the final submission. By the time the teacher reads the essay, many basic problems have already been addressed. This allows the teacher's feedback to focus on deeper issues of interpretation and style.

Structuring the Peer Review Session

Peer review works best when students respond to specific questions instead of reading and commenting freely. For a Feed essay, prompts might ask the reviewer to identify the thesis, find the strongest piece of evidence, and point to one place where the explanation feels incomplete. These targeted tasks produce more useful comments than general impressions.

• Ask the reviewer to restate the thesis in their own words.
• Have the reviewer mark one piece of evidence that is explained well.
• Identify one paragraph where the connection to the claim is unclear.
• Suggest one question the author could answer to deepen the analysis.
• Note one strength the author should keep in the final draft.

Adding AI Feedback to the Cycle

AI feedback can be introduced before or after the peer session, depending on the goal. Receiving AI comments first helps students fix basic issues so peers can focus on higher level ideas. Receiving them afterward lets students compare the two sources and decide which suggestions to follow.

Students should be taught to evaluate feedback critically instead of accepting every suggestion. A comment from a peer or an AI tool may be inaccurate or may not fit the student's intentions. Making decisions about what to adopt is itself a valuable writing skill.

Keeping Students Accountable

To ensure students take the process seriously, teachers can require a short revision memo summarizing which comments they used and why. The memo might note that a peer questioned the clarity of a paragraph about Violet and that the student restructured it. This documentation shows engagement and gives the teacher insight into the process.

Grading the revision process, in addition to the final product, signals that improvement matters. Students who put real effort into responding to feedback should be rewarded even if the final essay is not perfect. This encourages a growth mindset and reduces the temptation to rush.

Evaluating the Final Draft

When the final draft arrives, the teacher can compare it with earlier versions to see how the student responded to feedback. Substantive changes in argument and evidence deserve recognition, while superficial edits may warrant further guidance. This comparison provides a richer picture of student learning than the final essay alone.

Over multiple units, students become better at giving and receiving feedback, and the entire writing community in the classroom improves. Teachers can see the effect in the quality of final drafts and in the tone of class discussions. A thoughtful blend of peer and AI feedback can make this growth sustainable.