Peer review is a valuable teaching strategy: students learn by critiquing each other's writing, get diverse feedback perspectives, and develop critical thinking about writing quality. In practice, peer feedback is often superficial: 'This is good' or 'Fix your grammar.' Students don't know how to give substantive feedback, and the activity becomes busywork rather than learning.

AI can improve peer feedback by coaching students on how to critique writing substantively. When a student provides feedback on a peer's essay, AI can analyze whether the feedback is specific and actionable, or vague and unhelpful. AI can prompt students with questions: 'Did you identify what the thesis is? Is it clear?' or 'Look at the evidence. Is it relevant? Is it explained?' Students learn to look deeper, ask better questions, and give feedback that actually helps.

This coaching approach turns peer review from a surface-level activity into a genuine learning experience. Students develop critical reading skills, learn what quality writing looks like, and provide feedback that helps their peers improve.

How AI Can Coach Better Peer Feedback

• Provide feedback rubrics: Help students understand what good feedback looks like—specific, actionable, balanced between strengths and growth areas.
• Ask guiding questions: When a student provides vague feedback, prompt them to be more specific: 'Which sentence feels unclear? What would make it clearer?'
• Model strong feedback: Show examples of feedback that's helpful and explain why, teaching students the characteristics of good critique.
• Highlight patterns: If multiple students identify the same issue in a peer's work, help them see that as a signal the feedback is valid and important.
• Celebrate peer learning: Recognize when peer feedback leads to student improvement, reinforcing the value of the activity.

Scaling Peer Review With AI Support

Peer review can be time-consuming to manage—coordinating who reviews whom, ensuring feedback happens, grading the feedback itself. AI can automate some of this: it can randomly assign reviewers, track who has provided feedback, analyze feedback quality, and flag feedback that's too vague or inappropriate. This automation makes peer review logistically manageable even in large classes.

With automation handling logistics and AI coaching improving quality, peer review becomes a practical, valuable activity rather than an optional nice-to-have.

Building Peer Feedback Culture

Consistent peer review, improved through AI coaching, helps build a classroom culture where critique is constructive and collaboration is valued. Students get comfortable receiving feedback from peers, not just from the teacher. They develop relationships with classmates around learning. They see writing quality in multiple forms from multiple peers. That culture is powerful for learning.

When peer feedback is structured well and supported with coaching, it becomes one of the most valuable instructional strategies available.