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…

The current research used the Proficient Academic Reader (PAR) framework to explore whether reading strategies, task awareness, and motivation predicted college students' literacy skills over and above foundational skills (e.g., decoding, vocabulary). Specifically, the current research investigated the unique contribution of the PAR constructs to…

Using a national database, this study examined the relationship between the language of instruction models and the frequency of peer-mediated learning activity on English learners' reading achievement (N = 1,004). Results from the Multilevel Modeling (MLM) analyses revealed an interaction between the language of instruction and the frequency of…

The concept of growth mindset has been touted as a promising tool to empower learning, but mixed effects emerge. Growth mindset advocates are calling for more attention to the heterogeneity of growth mindset, namely, the interference of other factors at individual or contextual levels (e.g., teacher variables) with the relationship between growth…

This study explores structural relations among learning environment, achievement goals and reading achievement in China. The sample contains 12,058 Chinese students from the Programme for International Student Assessment (PISA) 2018 study. Multilevel Structural Equation Modeling (Multilevel SEM) is used for data analysis. The results indicate that…

This study explores the effectiveness of machine learning and eye movement features in predicting Chinese reading proficiency. Unlike previous research, which focused on one or two specific levels of eye movement features, this study integrates passage-, sentence- and word-level eye movement features to predict reading proficiency. By analyzing…

Background: Language ability predicts academic attainment across the curriculum. Teacher report of language difficulties may therefore help schools identify children that require Special Educational Needs (SEN) provision. Special Educational Needs provision is intended to enable children to reach their academic potential, however the effectiveness…

Student mobility that occurs within a school year may be especially disruptive for student outcomes, yet little is known regarding the predictors of within-year mobility. In particular, research has yet to comprehensively examine the role of student achievement in predicting within-year student mobility. Thus, we sought to understand this link by…

The study investigates the academic resilience of Swedish students, focusing on how school-level factors contribute to achievement differences between resilient and non-resilient students. Using data from PISA cycles from 2000 to 2015, the study employs propensity score matching and hierarchical linear modeling to examine the impact of individual,…

This study investigates the relationships among working memory (WM), syntactic parsing ability (SP), and L2 reading performance across varying proficiency levels. A cohort of 120 L1-Persian EFL learners was categorized into beginner, intermediate, and advanced proficiency groups based on their IELTS scores. Participants completed a reading span…

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…