Predictive power of peer assessment: Correlations between evaluators’ scores and academic success in a mathematics preparatory program

This study examines the extent to which students’ performance in peer assessment tasks predicts academic achievement in a mathematics preparatory program. Conducted at the Technion’s Center for Pre-University Education, the study involved approximately 60 students participating in two intensive mathematics classes. A key innovation of this research lies in the structure of the peer assessment process: unlike conventional designs that provide expert-defined rubrics, this study empowered students to independently formulate their own evaluation criteria. Each peer group generated its own set of assessment standards based on internal consensus, without instructor intervention. Despite the variability in rubrics, the peer-generated scores showed statistically significant correlations with both interim and final examination results, as well as with teacher-assigned grades. These findings provide compelling evidence that peer assessment can yield reliable evaluative outcomes even when criteria are student-constructed. Moreover, stronger correlations were observed when tasks were aligned with the formal curriculum and administered later in the program, suggesting development in students’ evaluative proficiency. The study contributes to the discourse on the reliability of peer assessment, challenges assumptions regarding the necessity of expert-driven rubrics and highlights the potential of student-authored frameworks to foster authentic engagement and reflective judgment in mathematical learning contexts.

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Publication Details

Journal
Eurasia Journal of Mathematics Science and Technology Education
Published
2025-08-18
DOI
https://doi.org/10.29333/ejmste/16774
Primary Topic
Student Assessment and Feedback
Type
article
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article

Predictive power of peer assessment: Correlations between evaluators’ scores and academic success in a mathematics preparatory program

Yaniv Biton
Eurasia Journal of Mathematics Science and Technology Education
Student Assessment and Feedback
article

Predictive power of peer assessment: Correlations between evaluators’ scores and academic success in a mathematics preparatory program

Yaniv Biton
article en

Abstract

This study examines the extent to which students’ performance in peer assessment tasks predicts academic achievement in a mathematics preparatory program. Conducted at the Technion’s Center for Pre-University Education, the study involved approximately 60 students participating in two intensive mathematics classes. A key innovation of this research lies in the structure of the peer assessment process: unlike conventional designs that provide expert-defined rubrics, this study empowered students to independently formulate their own evaluation criteria. Each peer group generated its own set of assessment standards based on internal consensus, without instructor intervention. Despite the variability in rubrics, the peer-generated scores showed statistically significant correlations with both interim and final examination results, as well as with teacher-assigned grades. These findings provide compelling evidence that peer assessment can yield reliable evaluative outcomes even when criteria are student-constructed. Moreover, stronger correlations were observed when tasks were aligned with the formal curriculum and administered later in the program, suggesting development in students’ evaluative proficiency. The study contributes to the discourse on the reliability of peer assessment, challenges assumptions regarding the necessity of expert-driven rubrics and highlights the potential of student-authored frameworks to foster authentic engagement and reflective judgment in mathematical learning contexts.

Eurasia Journal of Mathematics Science and Technology EducationVol. 21(9)
Openalex Percentile: Top 77%
Student Assessment and Feedback
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Predictive power of peer assessment: Correlations between evaluators’ scores and academic success in a mathematics preparatory program — Yaniv Biton · Eurasia Journal of Mathematics Science and Technology Education (2025) | TGRS Research Map | TGRS