Peer review can be a powerful way to improve student writing, but it often fails when students do not know what to look for. In a unit on Doctor Faustus, reviewers may offer comments like "good job" or "I liked it" that give the writer little to work with. Structured peer review with clear criteria and modeled feedback produces far better results. AI tools can add a useful layer by offering an additional perspective that reviewers can compare against their own.

The foundation of effective peer review is a shared rubric. When students read a classmate's essay with the same criteria the teacher will use, they begin to see what strong writing looks like. A simple checklist asking whether the thesis takes a position, whether quotations are explained, and whether the argument stays focused gives reviewers something concrete to evaluate. Training students on the checklist before the review session is essential.

Modeling is equally important. The teacher can display an anonymous sample essay on Faustus and walk the class through a review, pointing out specific strengths and one useful suggestion. Students then practice on another sample in pairs before reviewing real classmates. This practice reduces vague comments and builds shared standards.

Structuring the review session

Time-limited, focused tasks work better than open-ended reading. A teacher might ask reviewers to underline the thesis, circle each quotation, and write one question about the argument. These actions keep students engaged and produce concrete feedback. A final step in which the reviewer states what the essay does best and one change that would improve it ensures balanced responses.

• Underline the thesis and decide whether it takes a clear position
• Mark each quotation and note whether it is explained
• Write one question the essay leaves unanswered
• Name the strongest paragraph and explain why it works
• Suggest one specific revision the writer could make

Where AI feedback fits in

AI tools can provide a quick rubric-based assessment of a draft, which students can compare with peer comments. When the two sources agree, the writer knows the issue is real, and when they differ, it prompts a useful discussion. The AI feedback can also help reviewers who are unsure how to phrase their observations. Teachers should position the tool as a supplement to human reading rather than a replacement.

It is worth setting guidelines on how students use AI feedback. They should treat it as a suggestion to evaluate rather than a verdict to accept. Asking students to note which comments they agree with and why develops critical judgment. This reflective step prevents passive dependence on the tool.

Managing classroom dynamics

Peer review can be uncomfortable when students worry about hurting feelings or exposing weaknesses. Teachers can reduce anxiety by pairing students thoughtfully and emphasizing that the goal is improvement. Anonymous review, in which drafts are exchanged without names, can also help. Establishing norms for respectful, specific feedback creates a safe environment for honest exchange.

Teachers should circulate during the session to listen to conversations and offer guidance. Overhearing common misunderstandings provides material for a follow-up mini-lesson. This active role ensures that the time is used productively. It also gives the teacher a preview of the issues likely to appear in final drafts.

Using peer review to lighten the grading load

When students revise after peer and AI feedback, the essays they submit are usually stronger and need fewer corrective comments. This makes final grading faster and more enjoyable. Teachers can focus on higher-level observations rather than repeating basic advice. The effort invested in review pays dividends at grading time.

A brief reflection in which students describe how they used feedback adds accountability and shows the teacher what was most helpful. Over several units, students become more skilled reviewers and more independent writers. Peer review of Marlowe's play becomes a training ground for lifelong editing habits. The combination of human and technological support makes the process richer.