Combining Peer Review and AI Feedback in an Our Town Writing Unit

Published on September 18th, 2026 by the GraideMind team

Peer review has a mixed reputation in many classrooms. Done well, it helps students see their own writing through a reader's eyes. Done poorly, it produces comments like "good job" and "check your spelling," and everyone leaves without learning much.

A stack of exam papers waiting to be graded

AI feedback has its own profile. It is fast, consistent, and tied to a rubric, but it cannot replace the experience of a real reader reacting to an essay. Students benefit from both kinds of input, and the two work best when they are used for different purposes.

A useful way to think about it is that AI feedback handles the structural questions, such as whether the thesis is arguable and whether evidence is explained. Peer review handles the human ones, such as whether the argument is convincing, whether a paragraph is confusing, and whether the essay holds the reader's interest.

The teacher's role is to design the sequence, review the automated feedback, and set the standards for peer comments. With those in place, the two sources of feedback strengthen each other instead of competing.

A Sequence That Works

Begin with the AI-generated feedback on the first draft, reviewed by the teacher, so students receive a clear picture of how the essay measures against the rubric. Then run peer review in class, asking partners to respond to specific questions about the essay. Finally, students revise using both sets of comments.

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  • Students submit a first draft, and the teacher reviews rubric-based feedback before releasing it
  • Partners exchange essays and answer guided questions, such as what the thesis claims and which piece of evidence is most convincing
  • Each reviewer identifies one moment where they were confused and one where the writing was especially strong
  • Students compare peer comments with the teacher-approved feedback and decide what to act on
  • Writers submit a revised draft with a short note explaining which feedback they used and why

Automated feedback tells a student how the essay measures up, while a peer tells them how it reads.

Teaching Students to Give Good Peer Feedback

Students will not give useful comments unless they are taught how. Model a peer review with a sample Our Town paragraph and show the difference between a vague comment and a specific one. Provide sentence starters, such as "I was convinced when you..." and "I got lost when you..."

Keep the focus narrow. Asking reviewers to respond to two or three specific questions produces better comments than asking them to evaluate the entire essay. Narrow tasks also make the process quicker, so it fits inside a single class period.

Keeping the Teacher in Charge

Whichever sources of feedback you use, the teacher remains responsible for the final grade and for the accuracy of what students receive. Reviewing AI-generated comments from a tool like GraideMind before release is a simple way to catch mistakes and adjust tone. It also lets you decide which comments are worth passing on and which to leave out.

Afterward, ask students to reflect on the process. Which feedback helped the most, and why? Their answers will show you whether the balance of peer and automated comments is working and how to adjust it for the next unit.

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