This study utilizes the 2015 data from the Hong Kong sample of the Program for International Student Assessment to examine the relative importance of various factors on the science learning performance of Hong Kong students. Using hierarchical linear modeling (HLM), we examined the effect of students' affective characteristics, involvement, and…

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…

Standardised tests help measure student's progress at school and can inform education policy about existing shortfalls. However, too much testing could lead to much pressure on students and teachers to learn and teach for a test, something that would take the joy out of the learning process. Many parents and educators are all too familiar with…

The current study investigates the mediating role of student-student relationships (SSRs) and teacher-student relationships (TSRs) in the association between neuroticism and test anxiety. Gender differences in these associations were examined. A total of 513 adolescent girls and boys from secondary schools in Berlin, Germany completed…

Among 41 participating countries in the Programme for International Student Assessment (PISA) 2003, the gender difference in favour of females was greatest in Iceland in the three subjects tested: mathematics, science and reading. The aims of this article are to put these findings in national and international context, and report on a number of…