We tested the broad generality of a model for predicting 9th-10th grade students' STEM career expectations by age 30, focusing on hard science, mathematics and engineering professions only, known for driving innovation, research and development. The model's predictors included "motivation to learn mathematics", "gender", and…

Prior research has suggested that mathematics specific anxiety and self-efficacy are strong predictors of mathematics performance. The purpose of this study was to examine this relationship using two nationally representative samples of Greek students in 2003 and 2012. Findings indicated that both mathematics anxiety and mathematics self-efficacy…

Declines in the scores of Australian 15-year-old students from the Programme for International Student Assessment are a matter of policy interest. Some of the declines may have resulted from shifts in the age-grade distributions of students in the Programme for International Student Assessment samples. We use multiple regression methods to model…

Recently, students' interest in science has been conceptualized as a network model: the science interest network model (SINM) in which affective, behavioural and cognitive components interact together; building on science interest being a dynamic relational construct. In the current study, we combine the Australian Programme for International…

The author examined the relationship between student engagement and academic performance, using U.S. data of the Program for International Student Assessment 2000. The sample comprised 3,268 fifteen-year-old students from 121 U.S. schools. Multilevel analysis showed that behavioral engagement (defined as effort and perseverance in learning) and…

Using Program for International Student Achievement (PISA) 2009 data we study the transfer of knowledge among reading, mathematics, and science among Turkish students. Both Science and Reading are significant predictors of Mathematics scores, although clearly Science is a much stronger predictor; the transfer from Science to Mathematics is much…

Using Program for International Student Achievement (PISA) 2009 data we study the transfer of knowledge among reading, mathematics, and science among Turkish students. Both Science and Reading are significant predictors of Mathematics scores, although clearly Science is a much stronger predictor; the transfer from Science to Mathematics is much…

Strong mathematical abilities are important for the continuation of a successful society. Mathematics is required and involved in all aspects of daily life: banking, communications, business, education, and travel are just a few examples. More specifically the areas of finance, engineering, architecture, and technology require individuals with…

This paper provides evidence on the sources of differences in inequality in educational scores and their evolution over time in four European countries. Using Programme for International Student Assessment data from the 2000 and the 2006 waves, the paper shows that inequality decreased in Germany and Spain (two "decentralised" schooling…

Background: Chronotype refers to individuals' preference for morning or evening activities. Its two dimensions (morningness and eveningness) are related to a number of academic outcomes. Aims: The main goal of the study was to investigate the incremental validity of chronotype as a predictor of academic achievement after controlling for a number…