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,…

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…

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 investigated how domain specificity of academic motivation related to the connection between instructional clarity and academic achievement in science and mathematics. It focused on three aspects of domain-specific academic motivation--self-concept, intrinsic value, and utility value--drawing from the Expectancy-Value Theory model. The…

In this study, we applied elastic-net logistic regression to explore critical predictors of students' mathematics and science levels using data from eighth-grade students in the 2019 Trends in International Mathematics and Science Study (TIMSS). The elastic-net approach, a machine learning based approach combining Ridge and Least Absolute…

This study focused on the relationships between teacher characteristics and students' mathematics achievement in EU countries, including Hungary, Italy, Lithuania, Malta, Slovenia, Sweden, and Turkey, which are the only EU countries participated in TIMSS 2015 at the eighth-grade level. The data consisted of the sample of 31,969 eighth-grade…

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…

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…

To explore the wider educational environment included in the dynamic model of educational effectiveness, this paper reexamines the association between student achievement and two national culture dimensions: Monumentalism-Flexibility and Collectivism-Individualism. Using Programme for International Student Assessment (PISA) 2018 data of 317,127…

In this study, longitudinal relations between achieving language and mathematics with perceived creativity and predicting academic achievement in high school among academically higher achieving students (N = 214) are examined. Data from the Korean Educational Longitudinal Study 2013 (Waves 1 [approximately] 7, 2013 [approximately] 2019; KEDI,…

While language anxiety is known to be a strong predictor of the second language (L2) achievement for decades, there has been a relative lack of empirical attention to establishing which one - anxiety or achievement - influences the other. The present study, based on a cross-lagged panel analysis, examined the causal relationships between language…

The main purpose of this study was to explore major factors at student and teacher/school levels affecting middle-school students' science self-efficacy among countries with high science academic performance levels in PISA 2015 data by using various regression algorithms of machine learning and multilevel latent profile analysis (MLPA). Out of…

Background/purpose: Low attendance rates in undergraduate (UG) programs represent a critical issue for higher education institutions (HEIs), as they directly impact both individual and institutional success. This study investigates the influence of moderating variables such as age and gender on the effect of student absenteeism on mathematics…

The study aims to investigate how confidence in mathematics/science, amount of books in the home, gender, whether a student likes being in school, and computer software predicted mathematics and science achievements of students in the Trends in International Mathematics and Science Study (TIMSS) 2019. The sample of the study consisted of…

This paper develops models to measure growth in student achievement with a focus on the possibility of differential growth in achievement for low and high-achieving students. We consider a gap-closing model that evaluates the degree to which students in a target group -- students in the bottom quartile of measured achievement -- perform better…