To examine the role of inequality in academic achievement, we analyse a cross-national dataset including data from three cycles from 2012 to 2018 from the PISA, an international assessment of 15-year-old students' math, reading, and science performance. The Gini coefficient and gender inequality index (GII) were used as metrics for a country's…

Bayesian Networks (BNs) are probabilistic graphical statistical models that have been widely used in many fields over the last decade. This method, which can also be used for educational data mining (EDM) purposes, is a fairly new method in education literature. This study models students' science success using the BN approach. Science is one of…

This study examines Spanish secondary school teachers' views of gender differences in academic achievement and study choices. Thirty-six secondary school teachers participated in semi-structured interviews. Most teachers acknowledged that girls had better school performance, particularly in reading comprehension. Some were also acquainted with a…

Gender gaps in school enrollment and achievement are usually investigated as separate facets of gender inequality in education. This study suggests that they might be linked by design. If boys and girls differ in their school enrollment rates, the student population will be gender biased. Since out-of-school adolescents tend to be less advantaged…

We investigated academic buoyancy - and its predictors and outcomes - among female students attending all-girls and coeducational schools. We examined data from 1,254 female students. Structural equation modeling revealed that students' perceptions of three instructional climate factors (teacher-student relationships, useful content, engaging…

This study examines longitudinal associations among reading skills, math skills and emotional well-being in a Finnish sample (n = 586) followed from the end of comprehensive school (Grade 9, age 15-16) to age 20. In particular, we determine whether the associations between skills and well-being are mediated by self-concept beliefs. In Grade 9, the…

Gender differences in math-related professional achievements have been identified as a worldwide problem. Academic achievement assessments, however, have repeatedly revealed gender similarities. The observed gender similarity might be due to biased assessments that heavily rely on reading skills, which favors girls. The current study analyzed 29…

The gender difference in reading achievement in favor of adolescent girls is a robust finding in the literature, but the evidence is mixed when considering younger children. The present study followed the development of reading skills among Finnish children (N = 1867) from kindergarten age (6 years) to 18 years of age to determine the onset of…

This paper addresses how there are still issues with students' performance due to the gender gap in the STEM area. The researchers first analyzed 2012 and 2018 PISA data in Taiwan. They found that the gender difference is polarized. There are more boys than girls at the high score level, this phenomenon is global. Then the researchers used this…

Math anxiety is becoming more prevalent in classrooms around the world. Students with math anxiety experience both physiological and psychological symptoms, in addition to long-term effects. This article examines the global context of math anxiety, the causes of math anxiety, and what educators can do to support students who experience math…

Effective collaborative problem solving comprises cognitive dimensions, in which men tend to outperform women, and social dimensions in which women tend to outperform men. We extend research on between-country differences in gender gaps by considering collaborative problem solving and its association with two indicators of societal-level gender…

In spite of advances in recognising that girls and boys, and women and men, do not have to be bounded by traditional roles, gender stereotypes persist in education and beyond. Children and youth are affected by gender stereotypes from the early ages, with parental, school, teacher and peer factors influencing the way students internalise their…

Seen as one of the essential domains for active citizenship, examining how students relate to science has become crucial. Based on a person-centered approach, this article investigates self-related dispositions and motivation in science using the 2015 Programme for International Student Assessment (PISA) data set. By employing a latent profile…

The primary aim of this study is to identify the characteristics of the students' profiles regarding information and communications technology (ICT) use and their relations to background, motivational factors, and academic achievement. A sample of 4,838 U.S. students from PISA 2018 data was used. Latent profile analysis on ICT use for different…

In 2021, an OECD team undertook analysis of Republic of Türkiye's data from two international assessments--the OECD Programme for International Student Assessment (PISA) and the International Association for the Evaluation of Educational Achievement (IEA)'s Trends in International Mathematics and Science Study (TIMSS). The analysis aimed to…