Optimizing Peer Grading: A Systematic Literature Review of Reviewer Assignment Strategies and Quantity of Reviewers
Uchswas Paul, Shail Shah, Sri Vaishnavi Mylavarapu, M. Parvez Rashid, and Edward Gehringer

TL;DR
This systematic review analyzes reviewer assignment strategies and review quantity in peer assessment, highlighting their impact on accuracy, fairness, and educational value, and identifying optimal practices based on empirical evidence.
Contribution
The paper provides a comprehensive synthesis of 87 studies on reviewer assignment and review quantity, identifying common strategies, trade-offs, and recommendations for effective peer assessment.
Findings
Random assignment leads to inconsistent grading.
Competency-based strategies improve fairness.
Three to five reviews per submission balance accuracy and workload.
Abstract
Peer assessment has established itself as a critical pedagogical tool in academic settings, offering students timely, high-quality feedback to enhance learning outcomes. However, the efficacy of this approach depends on two factors: (1) the strategic allocation of reviewers and (2) the number of reviews per artifact. This paper presents a systematic literature review of 87 studies (2010--2024) to investigate how reviewer-assignment strategies and the number of reviews per submission impact the accuracy, fairness, and educational value of peer assessment. We identified four common reviewer-assignment strategies: random assignment, competency-based assignment, social-network-based assignment, and bidding. Drawing from both quantitative data and qualitative insights, we explored the trade-offs involved in each approach. Random assignment, while widely used, often results in inconsistent…
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