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1.
This study seeks to develop a better understanding of the underrepresentation of women in science and engineering by analyzing the gender gaps (a) in the interest in pursuing a science degree and (b) on science achievement. We use national-level college admissions data to examine gender differences and to explore the association between these outcomes and the attendance to single-sex or co-educational schools. The Chilean college admissions system provides a unique context to study these gender differences, since applicants who wish to pursue an undergraduate degree in science or engineering are required to take a high-stakes standardized science achievement test as part of the admission battery. This test has three subjects: biology, physics, and chemistry, and applicants must choose to be tested in only one of them. Significant gender differences exist for the examinees in their choice of subject and achievement on (the tests). Gender gaps favoring males are observed in the three forms. Both interest and achievement in science are associated with the sex composition of the school attended.  相似文献   

2.
Using longitudinal administrative data to track student achievement and choice, we show how social conditioning shapes gender differences in the choice of STEM study fields, after controlling for prior achievement and socio-economic background. The male majority in advanced matriculation electives in mathematics, physics, and computer science, observed among students in Hebrew-language schools in Israel as in other Western societies, is reversed among Arab students, a society with markedly less gender equality. This greater representation of Arab female students in STEM study fields is only partially explained by the large gender gap favoring girls in eighth-grade mathematics and science achievement in Arabic-language schools. Much of the remaining difference in gender gaps can be traced to differences in the relationship between prior circumstance and choice between the two groups. This belies the notion of a congenital female aversion to traditionally male STEM subjects, and accords with previous findings that gender differences in preferences are greater in societies with greater gender equality. Following a cohort of eight-grade students to matriculation eliminates the selection bias that attenuates estimates of gender gaps in studies that analyze choices of college-bound students.  相似文献   

3.
Young people in countries considered to be at the forefront of gender equity still tend to choose very traditional science subjects and careers. This is particularly the case in science, technology, engineering and mathematics subjects (STEM), which are largely male dominated. This article uses feminist critiques of science and science education to explore the underlying gendered assumptions of a research project aiming to contribute to improving recruitment, retention and gender equity patterns in STEM educations and careers. Much research has been carried out to understand this gender gap phenomenon as well as to suggest measures to reduce its occurrence. A significant portion of this research has focused on detecting the typical “female” and “male” interest in science and has consequently suggested that adjustments be made to science education to cater for these interests. This article argues that adjusting science subjects to match perceived typical girls’ and boys’ interests risks being ineffective, as it contributes to the imposition of stereotyped gender identity formation thereby also imposing the gender differences that these adjustments were intended to overcome. This article also argues that different ways of addressing gender issues in science education themselves reflects different notions of gender and science. Thus in order to reduce gender inequities in science these implicit notions of gender and science have to be made explicit. The article begins with an overview of the current situation regarding gender equity in some so- called gender equal countries. We then present three perspectives from feminist critiques of science on how gender can be seen to impact on science and science education. Thereafter we analyze recommendations from a contemporary research project to explore which of these perspectives is most prevalent.  相似文献   

4.
Gender segregation in employment may be explained by women's reluctance to choose technical occupations. However, the foundations for career choices are laid much earlier. Educational experts claim that female students are doing better in math and science and are more likely to choose these subjects if they are in single-sex classes. One possible explanation is that coeducational settings reinforce gender stereotypes. In this paper, we identify the causal impact of the gender composition in coeducational classes on the choice of school type for female students. Using natural variation in the gender composition of adjacent cohorts within schools, we show that girls are less likely to choose a traditionally female dominated school type and more likely to choose a male dominated school type at the age of 14 if they were exposed to a higher share of girls in previous grades.  相似文献   

5.
Differences in gender equality based on social, political and economic factors is cited, by some writers, as a contributory factor in the differentially greater achievement of boys in STEM subjects through the concept of gender stratification. Gender differences, especially in mathematics, have been linked directly to gender parity in wider society. Such a link is predicted by gender stratification via both the gender similarities and gender stratification hypotheses. However analysis by others appearsto support the hypothesis that the gender gap is smaller, in mathematics, when the society has a higher equality index. However, more recently, evidence, based on PISA outcomes from 2000 to 2009, reports that there is little or no correlation between the gender gap and wider equality. This paper takes up this analysis using PISA data from the 2012 round, for both science and mathematics, and the Global Gender Gap Index in a European context. The results cast doubts on any link between national gender equality and achievement in science or mathematics.  相似文献   

6.
While education levels of women have increased dramatically relative to men, women are still greatly underrepresented in Science, Technology, Engineering, and Mathematics (STEM) college programmes. We use unique data on preference rankings for all secondary school students who apply for college in Ireland and detailed information on school subjects and grades to decompose the sources of the gender gap in STEM. We find that, of the 22 percentage points raw gap, about 13 percentage points is explained by differential subject choices and grades in secondary school. Subject choices are more important than grades – we estimate male comparative advantage in STEM (as measured by subject grades) explains about 3 percentage points of the gender gap. Additionally, differences in overall achievement between girls and boys have a negligible effect. Strikingly, there remains a gender gap of 9 percentage points even for persons who have identical preparation at the end of secondary schooling (in terms of both subjects studied and grades achieved); however, this gap is only 4 percentage points for STEM-ready students. We find that gender gaps are smaller among high-achieving students and for students who go to school in more affluent areas. There is no gender gap in science (the large gaps are in engineering and technology), and we also find a smaller gender gap when we include nursing degrees in STEM, showing that the definition of STEM used is an important determinant of the conclusions reached.  相似文献   

7.
In the past three decades in high-income countries, female students have outperformed male students in most indicators of educational attainment. However, the underrepresentation of girls and women in science courses and careers, especially in physics, computer sciences, and engineering, remains persistent. What is often neglected by the vast existing literature is the role that schools, as social institutions, play in maintaining or eliminating such gender gaps. This explorative case study research compares two high schools in Israel: one Hebrew-speaking state school that serves mostly middleclass students and exhibits a typical gender gap in physics and computer science; the other, an Arabic-speaking state school located in a Bedouin town that serves mostly students from a lower socioeconomic background. In the Arabic-speaking school over 50% of the students in the advanced physics and computer science classes are females. The study aims to explain this seemingly counterintuitive gender pattern with respect to participation in physics and computer science. A comparison of school policies regarding sorting and choice reveals that the two schools employ very different policies that might explain the different patterns of participation. The Hebrew-speaking school prioritizes self-fulfillment and “free-choice,” while in the Arabic-speaking school, staff are much more active in sorting and assigning students to different curricular programs. The qualitative analysis suggests that in the case of the Arabic-speaking school the intersection between traditional and collectivist society and neoliberal pressures in the form of raising achievement benchmarks contributes to the reversal of the gender gap in physics and computer science courses.  相似文献   

8.
This article examines the impact of family background (social class, cultural and economic capital) and ability on the choice of subjects in secondary and tertiary education in Britain. Using a framework that integrates rational choice perspectives and cultural reproduction theory, we assume that children take their parents' social position as a reference for their own choices, and are guided mainly by the amount of economic and cultural capital that is available within the family. Using longitudinal data from the 1958 British birth cohort (N =13,245), the empirical analysis shows that children from higher social class backgrounds achieved a higher standard in both humanities and scientific subjects in primary and secondary school. Furthermore, children of the professional class were relatively likely to choose the prestigious subjects of medicine and law in university, independent of ability. Both absolute and relative levels of ability were relevant to the choice of subject at degree level, as it was found that people chose subjects that they were relatively good at compared to other subjects. This concept of ‘comparative advantage’ gives additional insight into field‐of‐study choices, but does not explain the gender segregation across disciplines.  相似文献   

9.
QUANTIFYING THE GENDER GAP IN SCIENCE INTERESTS   总被引：1，自引：0，他引：1  
Nearly 5,000 self-generated science-related K–12 students’ questions, classified into seven science subjects, were used to quantitatively measure the gender gap in science interests and its change with age. In this data set, a difference between boys’ and girls’ science interests did not exist during early childhood, but increased over 20-fold by the end of high school. Furthermore, the gap widened in a stereotypical manner, with girls being increasingly interested in biology and boys more interested in physics and technology. This method could be applied for identifying and comparing the gender gap in science interests between different populations based on different data sources.  相似文献   

10.
In a longitudinal study, long term educational attainment in secondary education was predicted by motivation, meta-cognition and self-regulation as well as student background variables and prior achievement. The dependent variables were: (1) the position in the fifth grade of the two highest tracks; (2) the choice of examination subjects; and (3) the mean achievement in the fifth grade in the chosen subjects. The position-variable correlates most strongly with the prognosis given at the end of primary education, and with the combined score on three progress tests taken during the first grade of secondary education. There was a large gender difference in the choice of examination subjects with boys choosing the three science subjects (pure mathematics, physics, chemistry) 30% more often. The choice of these subjects also correlates with the scores on the arithmetic progress test in the first grade and a mathematics test taken in the third grade. Achievement motivation and fear of failure are prominent predictors of the mean achievement in grade 5, as is prior achievement. Surprisingly meta-cognitive and self-regulation variables are hardly related to mean achievement.  相似文献   

11.
We investigate the role of specialized science, technology, engineering, and mathematics (STEM) high schools in New York City (NYC) in promoting performance in science and mathematics and in closing the gender and race gaps in STEM subjects. Using administrative data covering several recent cohorts of public school students and a rich variety of high schools including over 30 STEMs, we estimate the effect of attending a STEM high school on a variety of student outcomes, including test taking and performance on specialized science and mathematics examinations. While comparisons of means indicate an advantage to attending a STEM school, more thorough analysis conditioning on a rich set of covariates, including previous grade test performance, reduces or eliminates this advantage. Females and males in STEMs do better than their counterparts in Non-STEMs, but the gender gap is also larger in these schools. We also find that the black-white and Hispanic-white gaps are smaller in STEM relative to Non-STEM schools across almost all outcomes, but the Asian-white gap, in contrast, is larger in STEMs relative to Non-STEMs.  相似文献   

12.
Based on the Social Cognitive Career Theory (SCCT), the study aims to investigate factors that predict students’ interest in pursuing science, technology, engineering, and mathematics (STEM) fields in tertiary education both in general and in relation to their gender and socio-economic background. The results of the analysis of survey responses of 2458 secondary public school students in the fifth-largest Israeli city indicate that STEM learning experience positively associates with students’ interest in pursuing STEM fields in tertiary education as opposed to non-STEM fields. Moreover, studying advanced science courses at the secondary school level decreases (but does not eliminate) the gender gap and eliminates the effect of family background on students’ interest in pursuing STEM fields in the future. Findings regarding outcome expectations and self-efficacy beliefs only partially support the SCCT model. Outcome expectations and self-efficacy beliefs positively correlate with students’ entering tertiary education but did not differentiate between their interests in the fields of study.  相似文献   

13.

Drawing on a number of studies, this paper explores gender differentials in the choice of science subjects at secondary school level, factors influencing choice, differences in achievement and recruitment to science courses at a higher level in the particular educational context of the Maltese Islands. In this context all secondary schools are single‐sex, the state system is highly centralized, selection and streaming are widely practised, a high proportion of students (25%) attend private schools, and physics is compulsory. The results show that: more girls than boys study physics and biology at the lower secondary level (ages 11‐16); more boys study chemistry; achievement at this level is on a par in biology and chemistry; girls achieve slightly lower in physics. At the upper secondary level (ages 16‐18), almost equal numbers of boys and girls study biology and chemistry but boys predominate in physics. Girls avoid the option of physics and mathematics, a popular choice with boys. Consequently, at tertiary level very few girls opt for courses in engineering and prefer to subscribe to courses relating to medicine.  相似文献   

14.
This study explored an under-researched area in science education—the university programmes preferred by high school students who take physical science subjects and the reasons that matter in their preferences. A total of 1,071 upper secondary and pre-university students in Singapore, who take physical science subjects among their range of subjects, participated in this study. A survey method was adopted and the Rasch model was used to analyse the data. Overall, Business Studies was ranked as the predominant choice; nonetheless, scientific programmes such as Science, Engineering, and Mathematics are generally still well liked by the students. When gender differences were examined, we found that students largely followed gender-typical programme preferences, in which males tend to incline towards Engineering while females tend to incline towards Arts and Social Sciences. Students prefer a university programme based on their individual interest and ability, with career aspiration and remuneration coming next. Interestingly, females place greater emphasis on career aspiration than males. Some implications of the study are discussed.  相似文献   

15.
This article investigates changes in gender differences evident in the performance of grade 8th grade students participating in the Trends in International Mathematics and Science Study (TIMSS) between 1995 and 2003. Gender specific results and patterns found in TIMSS 1995 were compared with later cycles of the study in order to address the question of how far the mathematics and science gender gap has narrowed over time. Using a regression approach to compare the trend data, the findings indicated no major changes for mathematics but it appears that the gap in science may be closing, especially in the previously male dominated content areas of chemistry and physics.  相似文献   

16.
The purpose of this study was to empirically investigate, in a large-scale assessment, the prevalence of enquiry-based teaching, as defined by PISA, implemented in science lessons, and the extent to which it is related to students from different socioeconomic status (SES) family backgrounds in the U.S. The Programme of International Student Assessment (PISA) 2015 data including 5,146 students in the U.S. were used. A Latent Profile Analysis (LPA) was conducted to classify students into different science teaching subgroups. Mixture regression analysis was conducted to examine whether there the association between SES and achievement varied across science teaching subgroups. Four science teaching subgroups were identified, varying in the frequency of and type of teaching practices used. Students’ attitudes, gender, science instruction time, and reading achievement are significant predictors of the subgroup membership. SES-achievement gap also varied across the science teaching subgroups. Discussions for the results and suggestions for future study were presented.  相似文献   

17.
This paper explores the effects of degree choice on the distribution of occupational benefits in terms of income, and their contribution to the gender earnings gap, among young European higher education graduates. The results reveal that the field of study, which is the result of a personal choice, appears to influence the distribution of work-related benefits among graduates even after controlling for unobservable heterogeneity and observable individual/job specific characteristics. Analysis of the gender earnings gap shows that the earning disparities among female/male graduates in Education, Humanities and Mathematics are smaller.  相似文献   

18.
The relative lack of students studying post‐compulsory STEM (Science, Technology, Engineering and Mathematics) subjects is a key policy concern. A particular issue is the disparities in uptake by students’ family background, gender and ethnicity. It remains unclear whether the relationship between student characteristics and choice can be explained by academic disparities, and whether students’ background, gender and ethnicity interact in determining university subject choices, rather than simply having additive effects. I use data from more than 4000 students in England from ‘Next Steps’ (previously the LSYPE) and logistic regression methods to explore the interacting relationships between student characteristics and subject choice. There are four main findings of this study. Firstly, disparities by students’ ethnicity are shown to increase when controlling for prior attainment. Secondly, family background indicators are differentially related to uptake for male and female students, with parents’ social class and education larger predictors of choice than financial resources. Thirdly, gender, ethnicity and family background interact in determining choices. Particularly, as socio‐economic position increases, young women are more likely to choose STEM over other high‐return subjects. Finally, associations between student characteristics and subject choices, including interactions, largely persisted when accounting for A‐level choices. Implications for policy and future research are discussed.  相似文献   

19.
The new science education reform documents call for integration of engineering into K-12 science classes. Engineering design and practices are new to most science teachers, meaning that implementing effective engineering instruction is likely to be challenging. This quasi-experimental study explored the influence of teacher-developed, engineering design-based science curriculum units on learning and achievement among grade 4–8 students of different races, gender, special education status, and limited English proficiency (LEP) status. Treatment and control students (n = 4450) completed pretest and posttest assessments in science, engineering, and mathematics as well as a state-mandated mathematics test. Single-level regression results for science outcomes favored the treatment for one science assessment (physical science, heat transfer), but multilevel analyses showed no significant treatment effect. We also found that engineering integration had different effects across race and gender and that teacher gender can reduce or exacerbate the gap in engineering achievement for student subgroups depending on the outcome. Other teacher factors such as the quality of engineering-focused science units and engineering instruction were predictive of student achievement in engineering. Implications for practice are discussed.  相似文献   

20.
Data from 30 studies of the magnitude of gender differences in science achievement previously examined in two separate reviews were synthesized using modern methods for meta-analysis. Two meta-analysis methodologies were used: analyses of effect sizes (standardized mean differences) and vote-counting estimation procedures. Analyses revealed that magnitudes of gender differences in science achievement varied according to the subject matter under study. Males showed significant advantages in studies of biology, general science, and physics, but significant differences were not found for studies of mixed science content, and geology and earth sciences, or in a single study of chemistry. However, in all cases the numbers of effects examining each subject-matter area were quite small (seven or less). Also, studies which had focused on gender differences evidenced larger gender differences than other studies. Other possible predictors of the magnitudes of gender differences, such as grade level of the subjects and test length, did not account for significant amounts of variation among these study outcomes. Consequently, they also did not provide as strong an explanation of the patterns of gender differences as did subject matter and focus on gender.  相似文献   

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