Large-scale international studies offer researchers a rich source of data to examine the relationship among variables. Machine learning embodies a range of flexible statistical procedures to identify key indicators of a response variable among a collection of hundreds or even thousands of potential predictor variables. Among these, penalized…

As mathematics anxiety could result in students' low performance and impact their well-being, it is necessary for both researchers and educators to understand what causes mathematics anxiety and what moderates these effects. Based on the control-value theory, the present study proposed a framework that students' mathematics anxiety was triggered…

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…

Maths anxiety has been of great concern for many educators and educational policymakers because of its adverse effects on students' maths performance and career path. Various empirical studies have been conducted to explore the factors predicting maths anxiety, and they have typically been based on a limited set of pre-specified variables, such as…

This study aimed to comparatively review student-level and school-level factors affecting scientific literacy in Singapore, Italy and Turkey. Two-level hierarchical linear modelling (HLM) was applied to the 2015 Programme for International Student Assessment data set. The findings show that (a) the enjoyment of science, interest in broad science…

The present study aims to determine which analysis technique-Artificial Neural Networks (ANNs) or Logistic Regression (LR) Analysis-is better at predicting the science literacy success of the 15-year Turkish students who participated in PISA research carried out in 2015 by using learning time spent on science, test anxiety, environmental…

I brought together two strands of literature, one investigating the moderate but persistent underachievement of girls in mathematics in most countries, and the other examining the role of self-efficacy and other self-beliefs in predicting behaviour and achievement. I implemented detailed decompositions of the gender mathematics gap, both at the…

In this study, the mediating roles of perceived teacher support and students' mathematics self-beliefs on the feedback process were investigated in The Programme for International Student Assessment (PISA) context in Turkey. PISA 2012 mathematics scores and questionnaire responses of 4848 15-year-old students were analyzed. Results indicated that…

Non-cognitive characteristics of students in four Southeast Asian countries -- Indonesia, Malaysia, Thailand, and Viet Nam -- were reviewed based on the PISA 2009, 2012, and 2015 data. Overall, students in this region demonstrated similarities with respect to their non-cognitive dispositions such as learning habits, approaches to learning,…

Mathematics competency is fast becoming an essential requirement in ever greater parts of day-to-day work and life. Thus, creating strategies for improving mathematics learning in students is a major goal of education research. However, doing so requires an ability to look at many aspects of mathematics learning, such as demographics and…

This study investigated the effect of time spent on homework and mathematics anxiety on mathematics achievement. Data from a nationally representative US sample consisting of 4,978 cases was used to predict mathematics achievement from time spent on homework and mathematics anxiety while controlling for demographic differences such as gender,…

The main aim of the present study was to carry out an in-depth examination of mathematics underperformance in Greece. By applying a binary multilevel model to the PISA 2012 data, this study investigated the factors which were linked to low achievement in mathematics. The multilevel analysis revealed that students' gender, immigration status,…

The US portion of the Program for International Student Assessment (PISA) 2003 student questionnaire comprising of 4,733 observations was used in a multiple regression framework to predict math achievement from demographic variables, such as gender, race, and socioeconomic status, and two student-specific measures of perception, math anxiety and…

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…

There are many studies that focus on factors affecting achievement. However, there is limited research that used student characteristics indices reported by the Programme for International Student Assessment (PISA). Therefore, this study investigated the predictive effects of student characteristics on mathematics performance of Turkish students.…