Are boys left behind? The evolution of the gender achievement gap in Beijing's middle schools

Using one cohort of 7235 middle school students in Beijing, China, we examined the evolution of the gender achievement gap in middle school. Our study found a more significant female dominance than in U.S. studies: even though boys gradually caught up during middle school, especially in Math and Science, and the gender achievement gap decreased over the distribution of test scores, girls outperformed boys throughout primary and middle school and in each quartile of the performance distribution. As well, girls had a more positive school experience than boys, and boys had a higher dropout rate by the end of middle school. Despite significant gender differences in various important characteristics that have explained the gender achievement gap in the U.S., in our study, primary school test scores seemed to be the only significant source of the gender achievement gap at the end of middle school, indicating the importance of early intervention.     

Gender equity in mathematical achievement: the case of China

Gender differences in achievement in mathematics, a traditionally male-stereotyped subject, have long been a concern for many educators around the world. Gender differences in mathematical achievement have decreased in recent decades, especially in Western countries, and become small or insignificant in large-scale tests, such as the Programme for International Student Assessment (PISA). The situation in China has not yet been studied. The recent PISA report lists China B-S-J-G (representing Beijing–Shanghai–Jiangsu–Guangdong) as an educational system with no significant gender difference in mathematical achievement. Based on a secondary analysis of PISA 2015 mathematics data from China B-S-J-G, this study more deeply scrutinized gender differences in Chinese students’ mathematical performance, emphasizing societal factors, namely students’ socioeconomic status, school level, school type, school location, and socioeconomic status at school level. This analysis revealed important differences within the overall picture. Most importantly, significantly more boys than girls scored in the top tier of mathematics achievement. At the lower- and upper-secondary school levels, boys performed significantly better than girls, with the achievement difference increasing at the upper-secondary level. Furthermore, this study found that, on average, Chinese (B-S-J-G) girls achieved significantly lower average scores on the PISA 2015 mathematics test than boys in the same school. Overall, students’ individual characteristics and school characteristics need to be separated and both taken into account to examine the role of gender in mathematical achievement, which has not been thoroughly investigated in the past.     

School context and gender differences in mathematical performance among school graduates in Russia

Gender differences in mathematical performance have received considerable scrutiny in the fields of sociology, economics and psychology. We analyse a large data-set of high school graduates who took a standardised mathematical test in Russia in 2011 (n = 738,456) and find no substantial difference in mean test scores across boys and girls. However, boys have a greater variance of scores and are more numerous at the top of the distribution. We apply quantile regression to model the association between school characteristics and gender differences in test scores throughout the distribution of test scores. Male advantage in test scores, particularly at the top of the distribution, is concentrated in cities and in the schools with an advanced curriculum. In other high schools, especially in the countryside, gender differences in all parts of the distribution are small. We suggest several mechanisms based on selection and school effects that account for our findings.     

Is the math gender gap associated with gender equality? Only in low-income countries

In their seminal article, Guiso et al. (2008) uncover a positive relationship between several measures of gender equality and the math gender gap (which tends to favor boys) by exploiting cross-sectional variation in PISA test scores from 39 countries - the majority of which belong to the OECD - at a given year (2003). Using five waves of PISA data spanning the period 2003-2015 and exploiting variation both across- and within-countries, we find that the positive association between the female-male gender gap in math test scores and several measures of gender equality vanishes in OECD countries once we account for country fixed effects. Interestingly, our analysis also uncovers a positive and statistically significant association between the math gender gap and several gender equality indicators for countries in the bottom quartile of per capita GDP. This association is robust to controlling for country-level time-invariant unobserved heterogeneity.     

Gender Differences in Mathematics Participation: an Australian perspective

Gender differences in many areas of participation in school are receding, but the gap favouring males in mathematics study in senior secondary school persists. This study attempted to identify some of the dimensions underlying gender differences in mathematics participation. The data from a survey of Years 10, 11 and 12 students at four high schools were used to examine the relationships between the gender differences in attitudes towards mathematics and the participation in senior school courses. The findings suggest that the separation of senior school mathematics into academic and non-academic subjects was more efficient for boys than for girls because in the junior years of high school boys develop more positive views of mathematics and of themselves as mathematics learners leading to them more often selecting the university-preferred options. Not all girls were disadvantaged, however. Girls from middle-class backgrounds, particularly those from professional and managerial origins, tended to remain confident and retained their interest in mathematics supporting high enrolment rates in the specialist maths stream at the senior level of high school. The social background offset the effects of gender.     

Accounting for the gender gaps in student performance in reading and mathematics: evidence from 31 countries

In most countries, girls perform better than boys in reading but worse in mathematics. However, there is much variation between countries. Explanations for the gender gaps include the organisation of the school system, students' expectations and macro‐societal factors. The purpose of this paper is to account for gender differences in both reading and mathematics among 15‐year‐old students using data from the OECD's 2000 Programme for International Student Assessment (PISA) project. In most countries, school system factors are associated with the gender gap in reading but not in mathematics. Generally, gender differences in students' occupational expectations do not account for the gender gaps, although expectations contribute to the gender gaps in reading in New Zealand and the United States. Although several macro‐societal factors—the proportion of women in the workforce, societal inequality and public sector spending—are associated with the gender gap in reading, the correlations are only moderate, unstable and, importantly, are not associated with the gender gaps in mathematics. The much stronger association between the gender gaps in reading and mathematics across countries implies that they are both influenced by policy: the extent that countries have successfully implemented policies to promote the educational outcomes of girls and young women. In such countries the gender gap in mathematics is small or non‐existent but the gender gap in reading is relatively large. Policies shift both gender gaps in tandem.     

The teacher's role when pupils work on task using ICT in project work

The present study examined possible changes in the computer experience and attitudes of 11-12-year-old and 15-16-year-old students following a period in which ICT has become much more widely used in the school curriculum. In comparison with findings from a similar study undertaken in the early 1990s, there was some evidence of a reduced gender gap, particularly in the use of computers for applications such as word-processing, graphics, programming and maths. In addition, more recently introduced applications such as e-mail, accessing the internet and using CD-ROMs showed no overall gender difference in frequency of use. However, some gender differences remained, particularly in attitudes. Boys still liked computers more, were more self-confident in their use and, unlike previously, sex-typed them less than girls. They also used computers more frequently out of school, particularly for playing games. There was some evidence that, as found previously, older girls held the least positive attitudes, and it is suggested that their approach to computers may be influenced by the cultural pressures of gender stereotyping. More general age differences in use and attitudes were also found, and these may result from the different computing applications used by Year 7 and Year 11 pupils at school. In summary, although we found evidence of some change since the early 1990s, increased exposure to computes has not closed the gender gap.     

The misallocation of students to academic sets in maths: A study of secondary schools in England

Drawing upon data gathered from 9301 Year 7 students (12–13 years old) from 46 secondary schools in England, this study represents the first larger-scale attempt to compare their actual set allocations in maths with the counterfactual position where their allocation to sets is based solely on their prior attainment at the end of primary school [using their Key Stage 2 (KS2) fine-grained scores in maths]. Through such an analysis, the study found that nearly a third of students (31.2%) had been misallocated to lower or higher sets than their KS2 results would have warranted. Beyond this, school setting practices were found to exacerbate differences in set allocation in relation to gender and ethnicity, but not socioeconomic background. The odds of girls being misallocated to lower sets in maths than their prior attainment would warrant was found to be 1.5 times higher than that for boys. Similarly, the odds of Black students being misallocated to lower sets was 2.4 times higher than for White students, whilst the odds of Asian students being misallocated to lower maths sets was 1.7 times higher than for White students. The article concludes by reflecting on the significant role that setting by attainment in secondary school can play in exacerbating already established patterns of educational inequalities in gender and ethnicity.     

Picking winners: An empirical analysis of the determinants of educational outcomes in India

We use data from the Young Lives longitudinal survey to analyse the effect of socioeconomic conditions and gender on the educational performance of young children in India. In particular, we use data for standardised scores on two cognitive tests: the Peabody Picture Vocabulary Test (PPVT) and a maths test. Our results show that there are significant gender differences in the way that household wealth affects the educational performance of children. Specifically, boys born into wealthier households perform significantly better in maths than those from worse-off economic backgrounds. The effect of wealth on the PPVT is stronger for girls than it is for boys. The results are robust across a range of specifications. The effect of household wealth on performance differed between the genders, even when we focused our analysis on the bottom 10% and top 10% of the performance distribution. One possible explanation for these differences is parental aspirations. We tested this hypothesis and found that boys from wealthier households with higher parental educational aspirations are positively and significantly associated with higher maths scores. Further analysis showed that the moderating role of parents’ educational aspirations was more pronounced at the top of the test score distribution, an indication that more able children are associated with wealthier and more ambitious parents.     

Gender contentedness in aspirations to become engineers or medical doctors

Medical doctor and engineer are highly esteemed STEM professions. This study investigates academic and motivational characteristics of a sample of high school students in Thailand who aspire to become medical doctors or engineers. We used logistic regression to compare maths performance, gender typicality, gender contentedness, and maths and physics self-concepts among students with aspirations for these two professions. We found that high levels of felt gender contentedness in men had positive association with aspirations for engineering irrespective of the levels of maths or physics self-concept. We found that high levels of felt gender contentedness combined with high levels of maths or physics self-concept in women had positive associations with aspirations to become a medical doctor. These findings are evidence that student views of self are associated with uneven gendered patterns in career aspirations and have implications for the potential for future participation.     

High School Students' Beliefs About Maths,Mathematical Problem Solving,and Their Achievement in Maths: A cross-sectional study

The main aim of the study reported in this paper was to identify Italian high school students' ( n =599) beliefs about maths and mathematical problem solving by exploring the use of a 36-item (six scales) self-report questionnaire. The study was also aimed at analysing possible significant differences in beliefs related to grade (five years of school) and gender, as well as the relationship between beliefs and achievement in maths. Moreover, it explored the reasons underlying mature and nai¨ve beliefs about the different dimensions measured by the questionnaire. Results show a substantial replication of the instrument with the exception of one scale (importance of word problems) which was not reliable. A MANOVA revealed differences for three scales (ability to solve time consuming problems; problems which cannot solved by routine procedures; the usefulness of mathematics) related to grade and a difference for one scale related to gender (importance of understanding maths). It also emerged that the four scales mentioned predicted achievement in maths to different extents. Data regarding the reasons underlying students' beliefs show how their convictions are adaptive or maladaptive to learning. Finally, educational implications are drawn.     

A comparison of students who delay kindergarten entry and those who are retained in grades K−5

Retention has been one way that school personnel have dealt with the problem of school failure. Some authors have proposed delayed school entry as an alternative to retention, especially since there are concerns about the effects of retention on students' self-esteem. It is unclear from the literature whether retention and delayed entry have differential outcomes on measures of school success. This study explored whether there were differences in IQ and achievement (at grades 2, 5, and 7) between students who delayed school entry and those who were retained in later elementary grades, as well as any interactions with gender. There was a significant 6-point difference in IQ, favoring the delayed-entry group. Furthermore, when the achievement test scores were analyzed using an ANCOVA with IQ as a covariate, no significant differences were identified for either group or gender. Implications for school practices are provided.     

Explaining the gender gaps in mathematics achievement and attitudes: The role of societal gender equality

The gender stratification hypothesis maintains that higher levels of societal gender equity predict smaller gender gaps in mathematics achievement and attitudes. Using data from the Program for International Student Assessment (PISA) across 56 countries, this study aims to provide a thorough empirical test of the gender stratification hypothesis. We employ a novel two-stage empirical strategy to investigate the link between societal gender equities and gender differences in mathematics achievement and attitudes. In the first stage, we use a semiparametric Oaxaca-Blinder (OB) method to decompose the gender gaps in each country into a part that is explained by gender differences in observable characteristics and a part that remains unexplained. In the second stage, we examine the relationships between the unexplained parts of the gender gaps and country-specific gender equity measures. The results highlight the importance of gender equity in the labor market in explaining cross-country variation in the gender math gap. We find that lower gender wage gap is significantly associated with a smaller unexplained part of the gender math gap favoring boys. In terms of the gender gaps in math attitudes, the results yield mixed support for the gender stratification hypothesis.     

A meta-analysis on the relationship between school characteristics and student outcomes in science and maths – evidence from large-scale studies

ABSTRACT

In the present meta-analysis, we examine how secondary school characteristics – such as schools’ academic press, school climate, material resources, personnel resources, classroom climate, instructional practices, out-of-school activities, and socioeconomic status (SES) composition – provide opportunities for students to engage in science and maths, and how these matter with regard to students’ cognitive and motivational-affective outcomes. The meta-analysis includes 71 (international) articles from large-scale studies with a total of 3,960,281 students, 260,390 schools, and 285 effect sizes that were transformed to correlation coefficients. Multilevel meta-analyses were performed. Results identified a number of school variables that can be regarded as relevant for making a difference in student outcomes and at the same time be influenced by education. These refer to school variables such schools’ academic press, classroom climate, instructional practices, and out-of-school activities. Moreover, SES composition was significantly related to student outcomes. Material and personnel resources as well as school climate yielded a close to zero effect. No differences were found between cognitive and motivational-affective outcome variables or between science and maths. The results point to the most promising school characteristics for promoting students’ outcomes and emphasise schools’ potential for students’ engagement in science and maths.     

广西农村壮族儿童的入学准备状况

本研究对广西农村壮族儿童的入学准备状况进行了一年的跟踪调查,即在5岁和6岁时分别对儿童的入学准备状况进行了考察.第一次500名(年龄M=65个月,SD=3.63),第二次409名(年龄M=77个月,SD=3.63)儿童参加了研究.研究工具在美国研究院设计的儿童入学准备测验的基础上改编而成.结果表明,尽管壮族农村儿童的入学准备得分在入小学前的一年中有了明显的进步,但壮族农村儿童的入学准备明显不足,尤其在早期读写、数学技能以及颜色认知方面与城乡汉族儿童的差距很大.壮族农村6岁儿童在入学准备得分上不存在性别差异,但是来自不同乡镇的儿童得分有显著差异.     

Gender gap in maths test scores in South Korea and Hong Kong: Role of family background and single-sex schooling

In many industrialised societies, women remain underrepresented in the sciences, which can be predicted by the gender gap in math achievement at school. Using PISA 2006 data, we explore the role of family background and single-sex schooling in girls’ disadvantage in maths in South Korea and Hong Kong. This disadvantage is found to be associated with single-sex schooling, but not with family background. Attending a girls’ school confers a benefit only in South Korea, whereas the gendered curriculum counteracts the selectivity advantage of girls’ schools in Hong Kong. We find that a gendered social structure prevalent in both societies.     

Self-concept of students in higher education: are there differences by faculty and gender?

Many studies examine student self-concept during compulsory schooling but few have explored the self-concept of students in higher educational settings. The current study examined self-concept by faculty and gender among higher education students in New Zealand. Participants were 929 undergraduate students from a large New Zealand university. The results showed some differences in verbal and maths self-concept by faculty. Generally, students in faculties teaching subjects more reliant on maths skills had higher maths self-concept than those in faculties where facility in verbal skills was important. The opposite results were found for verbal self-concept. No overall gender differences were found for general, academic, verbal and maths self-concept although a statistically significant difference was found for problem-solving self-concept. This finding suggests students’ choice of faculty may be based on perceptions of their skills and capabilities in the various fields, irrespective of gender.     

Where the boys aren't: non-cognitive skills, returns to school and the gender gap in higher education

Nearly 60 percent of college students today are women. Using longitudinal data on a nationally representative cohort of eighth grade students in 1988, I examine two potential explanations for the differential attendance rates of men and women—returns to schooling and non-cognitive skills. The attendance gap is roughly five percentage points for all high school graduates. Conditional on attendance, however, there are few differences in type of college, enrollment status or selectivity of institution. The majority of the attendance gap can be explained by differences in the characteristics of men and women, despite some gender differences in the determinants of college attendance. I find that higher non-cognitive skills and college premiums among women account for nearly 90 percent of the gender gap in higher education. Interestingly, non-cognitive factors continue to influence college enrollment after controlling for high school achievement.     

Inequalities in school leavers’ labour market outcomes: do school subject choices matter?

Abstract

Despite a wide international literature on the effect of vocational and general education on school-to-work transition, relatively little is known about the role of having studied specific subjects in explaining inequalities in young people’s labour market outcomes. This paper aims to fill this gap by examining differences in employment chances of young people who left education early, either at the end of compulsory schooling or at the end of secondary school. Using data from the Scottish Longitudinal Study, a large-scale linkage study created using data from administrative and statistical sources, we found little gender differences but strong parental background differences in school leavers’ employment status and type of occupation entered. Social inequalities in labour market outcomes were only partly explained by curriculum choices. Moreover, after controlling for social origin and grades, only history and business for lower-secondary leavers and maths for upper-secondary leavers were associated with a reduction in the chances of being unemployed/inactive.     

Sticky assessments – the impact of teachers’ grading standard on pupils’ school performance

This paper argues that school grades cannot be interpreted solely as a reward for a given school performance, since they also reflect teachers’ assessments of pupils. A teacher’s evaluation of a pupil’s performance, as reflected in the grade awarded, might influence the effort that the pupil invests in learning. Grades might therefore serve as sticky assessments, affecting pupils’ later school performance. Getting discounted grades in year 6 for a given level of maths performance assessed using a PISA-like test has a positive effect on maths test scores in year 8 of elementary education, and also influences later outcomes in secondary education. The empirical analysis tries to minimise the possible bias caused by measurement error in year 6 test scores (unmeasured ability) and employs classroom fixed-effect instrumental variable (IV) regression and difference-in-difference models. The empirical analysis is based on a unique Hungarian individual-level panel data-set containing two observations about the same individual – one in year 6 (12/13 years old) and the other two years later, in year 8 (14/15 years old) of elementary education. The data for three entire school cohorts is analysed – approximately 140,000 individuals.