Peer review has long been a staple of writing instruction, yet many teachers abandon it because the results are inconsistent. Students may be too gentle, too harsh, or simply unsure what to look for in a classmate's draft. A structured workflow, paired with AI-supported feedback, can make peer review more productive for essays about a text like Stockton's "The Lady, or the Tiger?"

The foundation is a clear checklist tied to the rubric. Rather than asking students to "give feedback," ask them to answer specific questions, such as whether the thesis names which door the princess indicates and whether each body paragraph uses a detail from the story. These questions turn vague reactions into concrete observations.

Students also need guidance on how to deliver feedback respectfully. Teaching a simple structure, such as one strength, one question, and one suggestion, keeps comments balanced. Modeling a sample review in front of the class makes the expectations visible.

Add an AI feedback round before peer review

Running drafts through an AI feedback step before peer review catches the most basic issues, like a missing thesis or unexplained evidence. This allows peers to focus on higher-level concerns such as the persuasiveness of the argument and the clarity of the explanation. Students arrive at peer review with a stronger draft and more meaningful conversations follow.

• Students submit a draft and receive rubric-based AI feedback.
• Writers revise one or two issues before the peer session.
• Partners use a checklist to review each other's essays.
• Writers respond to peer comments with a short revision plan.
• The teacher reviews final drafts and provides targeted comments.

Train students to interpret feedback critically

Students should learn to treat any feedback, whether from a peer or software, as input to evaluate rather than a command. Asking them to mark which comments they will act on and why builds judgment and ownership. It also reduces the tendency to accept every suggestion without thinking.

A short reflection after revision, where students describe what changed and why, makes this process visible. It gives you insight into how students are using feedback and where they may need more guidance. These reflections also provide evidence of growth over time.

Manage logistics and classroom time

Peer review can eat up class time if it is not tightly managed. Setting a timer for each stage, such as ten minutes for reading and ten for discussion, keeps the session focused. Pairing students strategically, mixing strengths without creating large gaps, tends to produce the best exchanges.

Digital workflows reduce logistical friction because drafts and comments live in one place. Teachers can see who has completed each stage and intervene where students are stuck. This visibility is particularly helpful in classes with many sections.

Where teacher feedback fits best

With AI and peer feedback handling the early stages, teachers can save their own commentary for the final draft. At that point, targeted comments on voice, nuance, and the quality of interpretation have the greatest impact. This staging keeps teacher feedback high value rather than diluted across every revision.

The overall result is a writing process where students receive multiple layers of response without overloading the teacher. Each layer serves a different purpose, from catching structural problems to deepening interpretation. For a short, debate-friendly story like Stockton's, this workflow produces thoughtful essays and engaged writers.