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 research examined self-efficacy, locus of control, age, gender, and years teaching as a predictor for teaching job satisfaction among a sample of Filipino teachers working in the USA for three years or less. The sample size consisted of 96 participants. Participants completed three surveys, Teacher Self-Efficacy Scale, Rotter's Locus of…

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…

Home language (HL) effects on academic language literacy have been extensively discussed. However, previous research has mostly focused on Indo--European languages. This study extends the literature by using data (n = 17,600) collected in a diversified language area: Guangxi, China. We examined the effects of four HLs and four socioeconomic…