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 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…

Although Macau students have consistently been recognized as top performers in international assessments, little research has been conducted to explore the various factors that are associated with their achievement. This paper aimed to identify factors that could best predict Macau students' reading achievement using PISA 2018 data provided by…

Brazil's education system lags behind international standards, with two-fifths of students scoring below the minimum level of proficiency in mathematics, science, and reading. Thus, this study combined machine learning with traditional statistics to identify the most important predictors and to interpret their effects on proficiency in the PISA…

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: Socioeconomic status (SES) and motivation are both important predictors of student achievement. However, most studies have investigated these factors separately, and very few have looked into the interplay between SES and motivation as determinants of student reading achievement. Aims: We intend to bridge this gap by examining a model…

The purpose of the study was to investigate how student and teacher-related non-cognitive variables were important factors in the reading performances of Turkish students in PISA 2018. The results of the HLM analysis revealed that economic, social, and cultural status (ESCS) as a background variable was considered an effective predictor of student…

The aim of the present study was to examine the factor affecting reading performance of the students in a broad sense. The sample was comprised of a total of 752076 students who participated in PISA studies from OECD member countries during the years of 2000 (n = 159095), 2009 (n = 298454) and 2018 (n = 294527) in which reading literacy was the…

Having two teachers work collaboratively in the same class has been suggested as a possible solution to several instructional challenges, including the inclusion of students with special needs in mainstream classrooms and as part of school-wide prevention models to increase student achievement. In this, shared responsibility between teachers is…

The present longitudinal study examined the changes in foreign language reading anxiety and its predicting effects on Chinese university students' reading English performance. The 29-item Foreign Language Reading Anxiety Scale (FLRAS), a background questionnaire and a reading quiz were administered to two intact classes of an English Reading…

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 longitudinal study examined the effectiveness of a progress monitoring method, namely the Multilayer Instruction Model-Progress Monitoring (MIM-PM), which is a word reading fluency measure. It was used from 1st grade onward to predict the overall reading achievement of students in elementary school by tracking their reading achievement over…

This paper explores student and school level factors associated with 15-year-old students' reading performance in five Southeast Asian (SEA) countries. It investigates predictors of reading performance, including student gender, economic, social, and cultural status (ESCS), social well-being, and experiences of bullying at the student level. It…

This study examined the predictive power of students' demographic characteristics, reading attitudes, school characteristics, and teacher-informed reading activities on three metacognitive reading skills: understanding and remembering, summarizing, and assessing credibility and their influence on 15-year-old students' reading scores. The dataset…