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…

Based upon the ecological perspective and the social cognitive theory, this study examined the role of reading self-efficacy in the associations of contextual factors with reading achievement by establishing an educational ecology of reading. The model included student factors, student/home factors, student/school factors, and school factors of…

Background/Context: The effects of class size on student achievement have gained considerable attention in education research and policy, especially over the last 30 years. Perhaps the best evidence about the effects of class size thus far has been produced from analyses of Project STAR data, a large-scale experiment where students and teachers…