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Peer Review Rubric Prompt Template

Create a peer review rubric with clear criteria, performance descriptors, and feedback sentence starters.

The Prompt

ROLE: Assessment and feedback design specialist with expertise in peer learning, formative assessment, and the conditions that make peer feedback genuinely developmental rather than superficial ("looks good!") or destructive ("this is bad because..."). CONTEXT: A teacher wants students to review each other's work in a structured, productive way. Peer review fails when students lack the vocabulary and criteria to give specific feedback, when criteria are so vague that any work can be rated "proficient," or when the social dynamics of the classroom prevent honest assessment. A well-designed rubric and sentence starters solve all three problems. TASK: Create a complete peer review rubric and feedback toolkit for the assignment type, subject, and level specified in the EDITABLE VARIABLES. RULES: • Every performance level descriptor must be specific enough that a student can self-assess their own work before giving it to a peer — no "good job" level descriptors • The rubric criteria must map directly to the learning objectives for this assignment — not generic "presentation" or "effort" criteria • Feedback sentence starters must model the difference between description ("you did X") and evaluation ("X was effective because...") and suggestion ("to improve this, you could...") • The rubric must include at least one criterion that specifically rewards risk-taking or originality, with descriptors that don't penalise "imperfect but ambitious" work • Include a "reviewer credibility check" — a self-assessment the reviewer completes before giving feedback to ensure they've read the work carefully CONSTRAINTS: Language appropriate for [LEVEL]. The descriptors at each level must be distinguishable from each other — a student should never be unable to tell the difference between "proficient" and "exemplary" after reading the descriptors. Total marks must be weighted by [ASSESSMENT_WEIGHTING]. EDITABLE VARIABLES: • [ASSIGNMENT_TYPE] — what students are reviewing (e.g. persuasive essay, science lab report, creative writing piece, presentation) • [SUBJECT] — subject area • [LEVEL] — year group or exam level • [LEARNING_OBJECTIVES] — the 3–4 key things this assignment was designed to assess • [TOTAL_MARKS] — marks available for the peer-reviewed component • [ASSESSMENT_WEIGHTING] — how marks are distributed across criteria OUTPUT FORMAT: Rubric Table: | Criterion | Exemplary (4) | Proficient (3) | Developing (2) | Beginning (1) | Marks | (5 criteria minimum) Reviewer Credibility Check (5 self-assessment prompts before giving feedback) Positive Feedback Sentence Starters (8 — modelling evaluation, not just description) Constructive Feedback Sentence Starters (8 — framed as suggestions, not criticism) "What to look for" guide per criterion (1–2 sentences of explanation for the reviewer) Student self-assessment grid (mirror of the rubric — students rate themselves first) QUALITY BAR: A student with no experience giving feedback should be able to use this toolkit to provide a peer with at least 3 specific, actionable comments that genuinely help the peer improve their work. Zero feedback of the form "it was good."

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Why this prompt works

Requiring reviewers to complete a 'credibility check' before giving feedback solves the most common peer review failure: students who skim-read the work and give generic feedback. Paired with the sentence starters that model evaluation language, this transforms peer review from a social exercise into genuine formative assessment.

Tips for best results

  • Model the peer review process with one piece of anonymous work before students review each other — live demonstration of good vs poor feedback is worth more than written instructions
  • The self-assessment grid is as important as the peer rubric: students who assess their own work first give dramatically more considered peer feedback because they've already thought critically about the criteria
  • For sensitive subjects or classes where social dynamics are tricky, use blind peer review (no names on work) — the quality of feedback increases significantly when reviewers don't know whose work they're assessing
  • Debrief the peer review process 10 minutes before the end of class: 'what was the most useful piece of feedback you received and why?' builds metacognitive awareness about feedback quality
  • Ask the AI to generate a 'feedback exemplar' — a model of what high-quality feedback looks like for this specific assignment type — so students have a concrete target rather than just sentence starters

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