In this paper, we have employed data from the OECD's Programme for International Student Assessment (PISA, 2012 edition) on the EU-15 countries in order to investigate the effect of using ICT at home on achievement. By employing Propensity Score Matching, we provide robust evidence that in most countries there is a negative association between…

Scientific literacy is a central aim of science education. The "Programme for International Student Assessment" (PISA) provides a measure of secondary students' scientific literacy and reported science instruction in 72 countries. Researchers have analyzed PISA data to identify important relationships between science instruction and…

At a time when the national conversation is focused on lagging upward mobility, it is no surprise that many educators point to poverty as the explanation for mediocre test scores among U.S. students compared to those of students in other countries. If American teachers in struggling U.S. schools taught in Finland, says Finnish educator Pasi…

In this article, the change in examinee effort during an assessment, which we will refer to as persistence, is modeled as an effect of item position. A multilevel extension is proposed to analyze hierarchically structured data and decompose the individual differences in persistence. Data from the 2009 Program of International Student Achievement…

The purpose of this study is to examine relationships among the such variables as socioeconomic status, math self-efficacy, anxiety, and mathematics achievement using structural equation modeling. A sample group of 8,806 students from England, Greece, Hong Kong, the Netherlands, Turkey, and the USA participated in the PISA 2012. To show how much…

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…

Although the participation rates of females in science, technology, engineering, and mathematics (or STEM) education is poor in most Western countries, considerable differences across countries exist as well. This may be due to differences in the so-called gender achievement gaps, that is, delays of one sex with respect to the other. The variation…

This report examines how immigrant students performed, mainly in mathematics and reading, but also in science and problem-solving skills in the PISA 2003 assessment, both in comparison with native students in their adopted country and relative to other students across all countries covered in the report (the "case countries"). In…