Introduction: As technology progresses, individuals will be increasingly expected to solve digital tasks. At the same time, many worry that a high use of connected devices will reduce young people's ability to perform with accuracy long cognitively challenging tasks online. Methods: We examine whether 15-year-old students' ability to accurately…

Predicting student performance in international large-scale assessments (ILSAs) is crucial for understanding educational outcomes on a global scale. ILSAs, such as the Program for International Student Assessment and the Trends in International Mathematics and Science Study, serve as vital tools for policymakers, educators, and researchers to…

The academic achievement of students is shaped by a complex interplay of personal, familial, and environmental factors. This study makes a novel contribution to the educational and public health literature by systematically investigating how various forms and contextual dimensions of physical activity relate to students' academic achievement…

This study utilised 2015 PISA data from the United Kingdom and Hong Kong to examine the relations between outside school ICT use for learning and science performance through a mediation model. The results uncovered three key findings: Firstly, ICT use for learning exhibited negative total effects on science performance in the United Kingdom,…

This study determined the relationship between regional PISA-scientific literacy and socio-demographics in the Philippines, specifically in terms of household-related socio-demographics, school-related socio-demographics, regional competitiveness, and regional budget allocation on education. Utilizing quantitative descriptive causal-comparative…

This paper examines and builds on an earlier contribution to this journal focusing on private supplementary tutoring -- widely known as shadow education -- in Francophone West and Central Africa. Drawing on wider literature about research methods in this domain, it examines the basis for the numerical estimates presented in the original article…

When analyzing large-scale assessments (LSAs) that use complex sampling designs, it is important to account for probability sampling using weights. However, the use of these weights in multilevel models has been widely debated, particularly regarding their application at different levels of the model. Yet, no consensus has been reached on the best…

Science, technology engineering, and mathematics (STEM) professions offer competitive earnings, tend to be compatible with technological advances, and are predicted to remain in high demand in the future. Many countries, including Greece, have prioritised STEM education on their educational agendas, aiming to prepare students for careers in these…

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,…

Achieving gender equality in education is not only a matter of social justice: it is a catalyst for economic growth and societal well-being. This OECD report explores gender disparities in education in the Latin American and Caribbean (LAC) region, drawing on data from the Programme for International Student Assessment (PISA) and the Programme for…

Families are active agents in school systems and apply different strategies of educational advantage to help their children succeed at school. These strategies are planned and enacted by families with their children in mind, but they are always a response to the broader education system design. This article explores how through their strategies…