Peer and Self-Assessment¶

Strategy · All strategies
Evidence · 2 claims (1 for, 1 mixed) · 4 studies (2 quant-synthesis, 2 review), q2–q4 · 2 of 4 report an effect size

Description¶

Peer and self-assessment ask students to evaluate their own or classmates' work against explicit criteria, producing feedback and — more importantly — developing the capacity to judge quality. The act of applying criteria to someone else's work builds the internal standards students then apply to their own drafts. This positions assessment as a learning activity rather than only a measurement event, enacting Assessment for Learning.

Design Implications¶

Peer and self-assessment work because evaluating work against criteria requires the same domain knowledge as producing good work; the evaluation task is itself practice in quality judgment Formative feedback and classroom assessment practices produce substantial learning gains. [+S]. Rubrics and exemplars are the critical supports: transparent criteria improve the validity of student judgments and reduce anxiety about the assessment process Rubrics support consistent judgment and reduce assessment anxiety. [+M]. Peer marks correlate reasonably well with instructor marks when the task is well-structured and criteria are explicit, though agreement weakens for complex, open-ended work Peer and teacher marks agree more closely with explicit criteria and simpler tasks. [+M].

Context¶

Requirements¶

• Explicit criteria: a rubric or checklist students can actually apply, not just read (Assessment)
• Exemplars of work at varying quality levels so students can calibrate their judgments before applying criteria to live work
• Training or calibration activity — students practice judging a sample and compare their judgment with the instructor's or with peers'
• A structure for delivering feedback that is actionable rather than merely evaluative (Coaching)

Constraints¶

• Untrained students default to leniency, severity, or halo effects; without calibration, peer marks diverge substantially from expert marks Peer assessment reliability depends on training and judgment dimensions. [~M]
• Students often rate their own work against effort rather than quality, inflating self-marks for weak submissions [~M]
• When peer assessment carries high stakes, students game the system (reciprocal inflated grading) or experience anxiety that undermines the formative benefit [-M]
• Feedback that only assigns a score produces little learning; feedback must address the task and process, not the self Feedback is most effective at task and process levels. [+S]
• Less effective when students lack the domain knowledge to recognize quality — novices cannot judge what they cannot yet perceive [~M]

Implementation Variability¶

• Formative-only: peer feedback informs revision; instructor retains grading authority — lowest risk, most common entry point
• Graded peer assessment: peer marks contribute to grades, typically moderated or averaged across multiple reviewers to dilute individual bias
• Self-assessment with rubrics: students score their own drafts before submission, predicting instructor marks; accuracy itself becomes a graded metacognitive skill
• Two-stage peer review: students assess anonymous drafts, revise, then resubmit — closing the feedback loop

Target Learners¶

• Higher education and secondary students with enough domain exposure to recognize quality dimensions Peer assessment is feasible and beneficial across college and university settings. [+M]
• Students developing self-regulation: judging their own work against criteria strengthens monitoring and revision habits Self-assessment supports self-regulated learning. [+M]
• Students with low self-efficacy may initially underrate their work; calibration against exemplars helps correct this Self-efficacy predicts academic persistence. [~M]

Target Learning Goals¶

• Evaluative judgment: knowing what quality looks like in a domain, not just how to produce it
• Self-regulation: monitoring, revising, and taking responsibility for work quality
• Domain knowledge deepening: applying criteria requires articulating why work succeeds or fails
• Feedback literacy: giving, receiving, and acting on critique

Instructions¶

1. Share the rubric and 2–3 anonymized exemplars at different quality levels before students begin their own work (Assessment).
2. Run a calibration exercise: students judge an exemplar, then compare their scores and reasoning with the instructor's judgment in a whole-class debrief (Class Discussion).
3. Have students exchange drafts anonymously and apply the rubric, writing comments that identify a specific strength and a specific improvement (Coaching).
4. Ask students to self-assess their own draft against the same rubric before receiving peer feedback.
5. Build in revision time so feedback is actually used — assessment without the opportunity to act on it is wasted Formative assessment requires follow-up action to affect learning. [+S].
6. Compare peer and self-marks with instructor marks over time and discuss discrepancies to sharpen judgment.

Related Strategies¶

• Rubric-based feedback — the criteria infrastructure that makes peer and self-judgment reliable
• Portfolio assessment — a context where self-assessment is naturally embedded through reflection on collected work
• Two-stage exams — a peer-assessment variant applied to testing itself
• Calibration training and moderation to ensure reliable rubric-based portfolio review
• Reallocate graders to gradees based on model confidence so low-confidence submissions receive more or better graders

Examples¶

• Calibrated Peer Review (CPR) (https://cpr.molsci.ucla.edu) — a tool in which students first calibrate their judgment against instructor-graded exemplars, then review peers' anonymous submissions; calibration accuracy gates whether a student's reviews count.
• Peergrade / PeerStudio-style platforms — algorithmically distribute submissions so each student reviews several peers, aggregating reviews to moderate individual bias.
• Self-assessed draft submission — students attach a completed rubric with their essay predicting their grade; the instructor's mark and the student's mark are compared, and prediction accuracy is discussed in conference (Check-In).

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
• Black, P., & Wiliam, D. (1998). Assessment and classroom learning. Assessment in Education: Principles, Policy & Practice, 5(1), 7–74. doi:10.1080/0969595980050102
• 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
• Panadero, E., & Jonsson, A. (2013). The use of scoring rubrics for formative assessment purposes revisited: A review. Educational Research Review, 9, 129–144. doi:10.1016/j.edurev.2013.01.002