Peer Assessment¶

Strategy · All strategies
Evidence · 2 claims (1 for, 1 mixed) · 5 studies (2 quant-synthesis, 2 associational, 1 review), q2–q3 · 2 of 5 report an effect size

Description¶

Peer assessment arranges for learners to evaluate the quality of one another's work against explicit criteria, typically via rubrics, checklists, or structured feedback protocols. It functions simultaneously as an assessment mechanism (generating feedback at scale) and a learning activity (requiring assessors to internalize quality criteria and apply them to authentic examples).

Design Implications¶

Peer assessment operationalizes Assessment for Learning by making success criteria visible and requiring learners to apply them, rather than merely receive judgments Formative assessment practices improve achievement. [+S]. The act of judging others' work is itself a learning activity: reviewing multiple peer submissions builds criteria knowledge and calibrates self-evaluation, often benefiting the reviewer as much as the reviewed [~M]. Effectiveness depends heavily on the quality of the criteria and training: unstructured "give feedback to your partner" activities produce vague, low-utility comments, while rubric-supported, criterion-referenced review produces actionable feedback [~S].

Context¶

Requirements¶

• Explicit, learner-friendly criteria (rubrics or checklists) aligned to the task
• Training or calibration: practice evaluating sample work with feedback before assessing peers
• Anonymity or low-stakes framing where social risk would distort feedback
• Instructor moderation or spot-checking to maintain accuracy and fairness

Constraints¶

• Peer ratings correlate only moderately with instructor ratings, especially for complex or creative work [~M] — accuracy drops as task complexity and subjectivity rise
• Friendship, status, and reciprocity effects bias grades when reviewers are identifiable [-M]
• Novice assessors may reinforce misconceptions by validating incorrect peer work [-M]
• Perceived unfairness of peer grading undermines motivation unless stakes are low or moderation is visible [~M]

Implementation Variability¶

• Formative-only (feedback without grades) removes accuracy pressure and maximizes learning value
• Calibrated peer review (e.g., the Calibrated Peer Review method) requires reviewers to match expert evaluations of sample artifacts before reviewing peers
• Double-blind or triple-blind review reduces social bias
• Peer grading with instructor moderation combines scale with quality control
• Self-assessment against the same rubric before peer review builds evaluative judgment

Target Learners¶

• Learners with enough domain knowledge to recognize quality, but who have not yet internalized criteria [~M]
• Undergraduate and professional contexts with substantial written, designed, or coded artifacts
• Less suitable for novices in highly technical domains where they cannot distinguish correct from plausible-but-wrong work [-M]

Target Learning Goals¶

• Evaluative judgment: knowing what quality looks like, not just how to produce it
• Self-regulation: using criteria to monitor and revise one's own work
• Domain concepts: articulating why work succeeds or fails deepens conceptual understanding
• Communication and professional feedback skills

Instructions¶

1. Define the criteria: give learners a rubric or checklist aligned to the task (Assessment).
2. Calibrate: have learners evaluate one or two sample artifacts and compare their judgments to expert evaluations; discuss discrepancies.
3. Assign reviews: distribute work for anonymous review, typically 2–4 reviewers per artifact.
4. Structure the feedback: require criterion-referenced comments plus one specific improvement suggestion, not just ratings.
5. Close the loop: have authors revise based on feedback and optionally self-assess against the same rubric; instructor spot-checks a sample of reviews and grades.

Claims¶

• Only perceived accuracy differed across educational contexts, rated lower in CTeSP than in secondary and undergraduate education [~W]

Related Strategies¶

• Self-Assessment — the natural complement; reviewing peers calibrates judgment of one's own work
• Rubric-Based Feedback — supplies the criteria structure peer assessment requires
• Two-Stage Peer Review — adds a revision-and-re-review cycle for formative depth
• Peer feedback against success criteria: students locate where peers are in their learning and give actionable clues, hints, suggestions, or wonderings

Examples¶

• Calibrated Peer Review (CPR) (https://cpr.molsci.ucla.edu) — a web system where students first evaluate calibration samples against expert judgments, then review peers' writing in STEM courses.
• Peergrade / PeerStudio-style platforms — algorithmically distribute submissions so each artifact receives multiple independent reviews, with reviewer fairness scored.
• Writing-across-the-curriculum courses using structured peer response workshops (e.g., the method popularized by Gere and by Elbow's peer response groups), where reviewers describe their reading experience rather than assign grades.

Key Sources¶

• Topping, K. (1998). Peer assessment between students in colleges and universities. Review of Educational Research, 68(3), 249–276. doi:10.3102/00346543068003249
• Falchikov, N., & Goldfinch, J. (2000). Student peer assessment in higher education: A meta-analysis comparing peer and teacher marks. Review of Educational Research, 70(3), 287–322. doi:10.3102/00346543070003287
• Black, P., & Wiliam, D. (1998). Assessment and classroom learning. Assessment in Education: Principles, Policy & Practice, 5(1), 7–74. doi:10.1080/0969595980050102
• Double, K. S., McGrane, J. A., & Hopfenbeck, T. N. (2020). The impact of peer assessment on academic performance: A meta-analysis of control group studies. Educational Psychology Review, 32(2), 481–509. doi:10.1007/s10648-019-09510-3