This study analyzes how students' reported teaching practices of their teachers and their attitudes towards science are related to the science achievements of four high-performing countries/economies in PISA 2015: Hong Kong, China, Canada, and Finland. A study of these regions can shed light on the commonalities of and differences between the…

Covariates have been used in mixture IRT models to help explain why examinees are classed into different latent classes. Previous research has considered manifest variables as covariates in a mixture Rasch analysis for prediction of group membership. Latent covariates, however, are more likely to have higher correlations with the latent class…

Background: National ranking from the triennial Programme of International Student Assessment (PISA) often serves as a barometer of national performance and human capital. Though excessive student- and school-level covariates (n > 700) may prove intractable for traditional least-squares estimate procedures, shrinkage methods may be more…

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…

This study explored the extent to which teachers' instrumental (i.e., tangible aid to promote learning) and appraisal support (i.e., teacher feedback) enhanced students' achievement in mathematics. Participants included 13,950 fifteen-year-old Canadian students who participated in the 2012 Programme for International Student Assessment. Based on…

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…

This study aims to understand the predictive role of attitudes towards problem solving, such as perseverance and openness for problem solving, as well as of gender and country for Canadian and Finnish students' academic achievement in mathematics and science. We examined the data of students from Canada (n = 21,544) and Finland (n = 8,829) who…

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…

This article focuses on analysing the effect of educational differentiation policies of OECD educational systems on socioeconomically disadvantaged students, based on data from PISA 2009. The analysis is conducted on the basis of a definition of two subgroups of disadvantaged students: those that achieve high scores, and those obtaining scores…

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…

Background/Context: Two key uses of international assessments of achievement have been (a) comparing country performances for identifying the countries with the best education systems and (2) generating insights about effective policy and practice strategies that are associated with higher learning outcomes. Do country rankings really reflect the…

In this article, we use data from the Canadian Youth in Transition Survey (YITS). This survey has followed longitudinally the Canadian Programme for International Student Assessment (PISA) students originally surveyed in 2000. The aim of this article is to look to what extent social factors (e.g. gender, parental education and socio-economic…

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…

Despite the lack of substantial evidence for improvement in the quality of teaching and learning with information and communication technology (ICT), governmental organizations have pushed ICT as a means of providing broad-scale training to meet the demand for a skilled workforce, centred upon a hypothesized ICT-scientific literacy relationship.…

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…