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…

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…

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…

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,…

In recent years, self-theories such as growth mindset and resilience have gained interest as they have a sizable influence on achievement and school-related motivation. The aim of this study is to investigate the relationship between immigrant students' growth mindset, resilience, and science achievement in PISA 2018 by considering the mediating…

Science achievement and the factors related to it are frequently discussed in science education community. However, less researchers tend to consider student achievement in other subjects, especially reading and mathematics as included in the "Programme for International Student Assessment" (PISA). This research examined the relationship…

The Programme in International Student Assessment (PISA) has become the prominent method of international comparison of the achievement of 15-year-old children in reading, mathematics, and science. Recently, the OECD, which administers PISA, has devoted a great deal of energy promoting the notion of "academic resilience"--which refers to…

There has been a strong narrative in Australia of falling attainment in high school science, with much of the campaign informed by results from international standardised tests such as Programme for International Student Assessment (PISA), which shows a year-on-year decline in scientific literacy of Australian 15-year-old students. These results…

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…

In this paper we investigate the link between the language in which pupils take the Programme for International Student Assessment (PISA) test and the scores they achieve in this assessment, focusing upon the case of Wales. Using five rounds of PISA data and an instrumental variable approach, we show how pupils who took the test in Welsh score…

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…