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…

This study uses PISA 2018 data to analyze, from a multinational perspective, whether interest in environmental issues is a determining factor of science literacy. A relational survey model is used as a quantitative research design to analyze secondary data obtained from the PISA 2018 evaluation data of 98,306 students at the age of 15 in 15…

This analysis compares 15-year-old students who reported career expectations in finance in 13 education systems that participated in the financial literacy assessment of the 2015 Program for International Student Assessment (PISA). In particular, it explores (a) selected demographic characteristics of students who expected to have a career in…

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…