Comparative Sociomathematical Analysis of Student Pass Percentages in Dual Educational Institutions

This study examines the statistical relationship between gender and locality in student pass percentages across two schools- one in a suburban area and another in a rural area-while considering gender-based variations in academic performance. A theoretical framework is developed to analyze the dependency of pass rates on gender and locality, categorizing conditions into four cases: gender- independent and locality-independent, gender-independent and locality-dependent, gender-dependent and locality-independent, and gender-dependent and locality-dependent. The findings suggest that gender and locality can significantly influence pass percentages, revealing potential disparities based on school location and student demographics. The study also introduces a theoretical model using proportionality assumptions to explore the probabilities of various academic outcomes. This framework can serve as a diagnostic tool for identifying biases in educational performance and guiding future policy interventions [1][2].

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Publication Details

Journal
Journal of Educational Research and Policies
Published
2025-08-31
DOI
https://doi.org/10.53469/jerp.2025.07(08).16
Primary Topic
Technology and Human Factors in Education and Health
Type
article
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article

Comparative Sociomathematical Analysis of Student Pass Percentages in Dual Educational Institutions

Sinan Şen
Journal of Educational Research and Policies
Technology and Human Factors in Education and Health
article

Comparative Sociomathematical Analysis of Student Pass Percentages in Dual Educational Institutions

Sinan Şen
article en

Abstract

This study examines the statistical relationship between gender and locality in student pass percentages across two schools- one in a suburban area and another in a rural area-while considering gender-based variations in academic performance. A theoretical framework is developed to analyze the dependency of pass rates on gender and locality, categorizing conditions into four cases: gender- independent and locality-independent, gender-independent and locality-dependent, gender-dependent and locality-independent, and gender-dependent and locality-dependent. The findings suggest that gender and locality can significantly influence pass percentages, revealing potential disparities based on school location and student demographics. The study also introduces a theoretical model using proportionality assumptions to explore the probabilities of various academic outcomes. This framework can serve as a diagnostic tool for identifying biases in educational performance and guiding future policy interventions [1][2].

Journal of Educational Research and PoliciesVol. 7(8)
IAC (United States) (US)
Openalex Percentile: Top 69%
Technology and Human Factors in Education and Health
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Comparative Sociomathematical Analysis of Student Pass Percentages in Dual Educational Institutions — Sinan Şen · Journal of Educational Research and Policies (2025) | TGRS Research Map | TGRS