Resilience refers to the capacity of individuals to prosper despite encountering adverse circumstances. This paper defines academic resilience as the ability of 15-year-old students from disadvantaged backgrounds to perform at a certain level in the Programme for International Student Assessment (PISA) in reading, mathematics and science that…

The purpose of this study was to examine whether school disciplinary climate and grit predicted low socioeconomic status (SES) students being high achievers in mathematics and science with a representative sample of 15-year-old students in the United States. Our analysis, using a two-level logistic hierarchical linear model (HLM), indicated both…

This study aims to analyse the relationship between students' mathematics achievement in Programme for International Student Assessment (PISA) 2012 and the instructional climate-related factors in the index of principals' perceptions (learning hindrance, teacher morale and teacher intention). As preliminary analysis procedure, the chi-squared…

This paper studies the relationship between ethnic school composition and classroom disruption in secondary education in the context of migration policies. We measured classroom disruption using students' reports from 3533 schools in 20 countries provided by cross-national PISA (Programme for International Student Assessment) 2009 data. We employ…

Students, as one specific group of school stakeholders, have unique perceptions of school climate, which predict academic performance. In the Program for International Student Assessment 2009 Shanghai survey, 5,115 students from 152 schools participated. The results from this study showed that compared with their peers in the countries of the…

In 2015, for the first time in its history, PISA (the Programme for International Student Assessment) asked teachers to describe the various aspects of their working environment and teaching practices. This paper examines how teacher, student, and school characteristics are related to science teachers' satisfaction in 19 PISA-participating…

Background: The school environment has shown itself to be an important factor in explaining adolescent behaviour. The relationships and experiences that pupils have at school have been found to influence their development, psychological well-being, self-esteem and social adjustment. Purpose: The aim of the study is to explore whether there is a…

The study investigates the effects of certain school characteristics on students' mathematics performances in Turkey in the PISA 2006 while controlling for family background and demographic characteristics. Three models of Hierarchical Linear Modeling (HLM) are constructed. The results reveal that 55% of the variance is attributable to…

This article examines the influence of youth's family and school contexts to understand disparities in Canadian youth's mathematics achievement. Using hierarchical linear analysis, some of the main assumptions of social capital theory are tested using the Canadian data from the 1999 Programme for International Student Assessment. Findings revealed…

The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…