Background: Life satisfaction is a key component of students' subjective well-being due to its impact on academic achievement and lifelong health. Although previous studies have investigated life satisfaction through different lenses, few of them employed machine learning (ML) approaches. Objective: Using ML algorithms, the current study predicts…

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…

The education system strives to help students from low-income families achieve academic success. Academic resilience is related to not only individuals but also classrooms and schools. This study aimed to construct a comprehensive resilience model in science domains that presents the image of resilient students and describes the mechanisms by…

The purpose of this study is to predict the mathematical literacy levels of the students participating in the research through the data obtained from PISA 2015 exam organized by OECD using data mining and to determine the variables that affect mathematics literacy. For this purpose, students' mathematics literacy levels and the variables that…

Classroom climate in seven Confucian Asian countries/systems was examined with respect to three dimensions: teachers' affective qualities, behavioural-classroom management style and cognitive-pedagogical approaches. The results based on PISA 2012 data showed that there were substantial variations in classroom climate across the seven Confucian…

Math proficiency is a strong predictor of postsecondary attainment, yet cross-national comparative assessments show that U.S. students consistently score below many of their peers, especially those in East Asia. Similar math achievement disparities exist across ethnic/racial groups within the U.S., where Asian American students routinely…

The purpose of this study is to determine the predicting power of mathematics achievement from ICT variables including the Internet/entertainment use (IEU), program/software use (PRGUSE), confidence in internet tasks (INTCONF) and confidence in ICT high level tasks (HIGHCONF) based on PISA 2006 data. This study indicates that the ICT variables…

The degree of equality in the delivery of education is an important dimension of variation. Some nations believe that the provision of a highly stratified system enhances quality, at least for the minority who are able to gain entry to the elite academic stream. In contrast, other nations prefer a more egalitarian approach to education where all…

This study investigates whether a common set of student attitudes and behavioral tendencies can account for academic achievement across different, especially high-performing, countries via analysis of the PISA 2009 international data set. The 13 countries examined are 5 of the top-performing Eastern countries/systems, namely Shanghai China, South…

This paper explores the PISA [Programme for International Student Assessment] achievement of twenty countries in light of some of their demographic differences. SES [student socioeconomic status], nuclear family, gender, home language, and native status were predictive of achievement for every country. Demographics accounted for as little as 8…

Using the G8 countries' (Canada, France, Germany, Italy, Japan, the Russian Federation, the United Kingdom, and the United States) samples from the 2003 Programme for International Student Assessment (PISA), this study aimed to explore the phenomenon of double jeopardy in mathematics achievement for socially disadvantaged students. Double jeopardy…

The purpose of the study was to comparatively investigate student- and school-level factors affecting mathematics achievement of Korean, Japanese and American students. For international comparisons, the PISA 2003 data were analysed by using the Hierarchical Linear Modeling method. The variables of competitive-learning preference, instrumental…

This article examines equity in national systems of education in terms of differences in student outcomes, as measured by mathematics achievement scores on Programme for International Student Assessment (PISA) 2003. The author uses four measures for assessing equity in student outcomes: (1) the strength of the relationship between student…

A linear structural model was studied to investigate the factors affecting reading literacy and mathematical literacy skills of 15-year-old students in the Programme for International Student Assessment (PISA) 2000 data across different cultural settings. Brazil, Japan, and Norway were selected for the purpose of comparison on the basis of their…