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…

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…

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…

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…

This study focuses on the effectiveness of two types of teaching practices (i.e., inquiry-based and teacher-directed) on students' science achievement, an ongoing contentious issue in science education. It examined the direct and indirect effects of the two types of teaching practices, enjoyment of science, and students' science achievement with…

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…