Peer review in history classes often fails because students do not know what to look for. They tell each other the essay was good or that it needed more detail, and the exchange does little to improve the writing. A unit built around Pietrusza's 1960 gives students plenty of content to discuss, but it still requires structure to turn that discussion into useful revision advice.

Give peer reviewers a short, focused checklist instead of an open invitation to comment. Asking them to underline the thesis, circle one piece of evidence, and write one question for the author keeps the task manageable and specific. Students are far more willing to give honest feedback when the task is narrow and does not require them to judge the whole paper.

Pair students thoughtfully, since mismatched partners can derail the activity. A strong writer paired with a struggling one may dominate the conversation, while two weak writers may reinforce each other's errors. Consider grouping students of similar ability for a first round and mixing them in a second round after they have practiced the process.

Where AI feedback fits in the sequence

A practical sequence is to have students first draft, then receive rubric-based AI feedback, then revise, and finally exchange papers for peer review. The AI step catches basic problems such as a missing thesis or unsupported claim, which frees peers to discuss more interesting questions about interpretation and emphasis. This order prevents the common situation where peers spend their time on issues a tool could have flagged immediately.

• Draft: the student writes an initial argument about the 1960 campaign
• Automated feedback: the tool applies the rubric and highlights structural gaps
• Self-revision: the student responds to the feedback before sharing the paper
• Peer review: classmates answer three focused questions about argument and evidence
• Teacher grading: the final version is evaluated with attention to growth

Teaching students to use feedback critically

Students should not treat any feedback as an order. Ask them to decide which suggestions to accept, which to reject, and why, and to record their decisions in a brief reflection. This approach builds judgment and prevents the assumption that a tool or a classmate is always right.

You can also use these reflections as a grading input. A student who explains that they ignored a suggestion to add statistics because the point was about perception, not numbers, shows real engagement with the writing. Such reflections reward thoughtful revision and give you insight into how each student thinks about their own work.

Practical cautions

Be transparent about the role of AI feedback in your classroom and check your school's policies on student data and tools. Make sure students understand that the tool applies your rubric and does not replace your judgment. It is also wise to review a sample of feedback before it reaches students, particularly during the first few uses.

Watch for over-reliance as well. If students begin to treat automated comments as a checklist to satisfy, their writing may become formulaic. Balancing tool feedback with peer conversation and teacher conferences keeps the emphasis on real argument and ensures that revision remains a thoughtful act rather than a mechanical one.