Using machine learning, this research aimed to examine the crucial factors that predict the reading performance of fourth-grade students from Türkiye who participated in PIRLS 2021. When trained with the data of 3589 fourth-grade students and their 405 independent variables, the support vector machine (SVM) algorithm properly distinguished between…

This study aimed to employ machine learning techniques to uncover the pivotal determinants influencing the reading proficiency of fourth-grade students across 65 regions, as participants in the PIRLS 2021 assessment. The primary objective was to discern and assess key factors at the student, family and school levels that predict high and low…

This study investigates the student- and school-level predictors of reading performance across five top-performing countries in the Progress in International Reading Literacy Study (PIRLS) 2021. Utilising a multilevel analysis, the research examines the influence of cognitive development, socio-cultural contexts and educational environments on…