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…

Science education researchers and curriculum documents have advocated scientific inquiry for more than six decades; however, inconsistent findings concerning its effects on students' learning outcomes have been revealed in recent analyses of large-scale international assessment data (e.g., the Programme for International Student Assessment…

Persistent concerns exist regarding the relationship between socioeconomic status (SES) and science achievement, prompting ongoing research into the factors enabling some low-SES students to excel in science despite the odds. This study seeks to identify multiple combinations of individual, family, and school conditions that contribute to…

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…

Despite the vital role of well-being on academic achievement, doubts prevail as to what extent and how well-being contributes to students' academic achievement. The present research therefore investigated the relation between well-being and academic achievement using multidimensional measures, while considering self-efficacy as a mediator.…

This study explored the mediating roles of interest in broad science topics (IBST) on the effects of students' perceptions of teachers' formative assessment on science achievement, using data from PISA 2015. We focused on 9,841 15-year-old students from Mainland (B-S-J-G) China. The results revealed that: (1) a classical suppression effect, where…

The purpose of this study is to examine the effect of missing data imputation methods, namely regression imputation (RI), multiple imputation (MI) and k-nearest neighbor (kNN) on differential item functioning (DIF). In this regard, the datasets used in the research were created by deleting some of the data via the missing completely at random…

In any field, effective teaching and learning are greatly aided by information and communication technology, or ICT. ICT integration in education has received significant attention in educational system reforms, which emphasized it as an essential component in improving the learning process. Educational organizations have been particularly…

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…

Bayesian Networks (BNs) are probabilistic graphical statistical models that have been widely used in many fields over the last decade. This method, which can also be used for educational data mining (EDM) purposes, is a fairly new method in education literature. This study models students' science success using the BN approach. Science is one of…

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…

Globally, the private school share of enrollment increased from about 14 percent in 2000 to about 18 percent in 2019. We estimate the systemic effect of private enrollment share on learning outcomes. Estimates of the systemic effect of private school enrollment capture any competitive effects as well as any differences between public and private…

This study examined how science epistemological beliefs and motivations (i.e., self-efficacy, enjoyment, interest, and instrumental motivation) were related to science performance in the UK, Singapore, Hong Kong, and Mainland China samples, using the data from the Programme for International Student Assessment (PISA) 2015. The results showed…

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…

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,…