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2017, The Oxford Handbook of Women and the Economy
Researchers from economics, sociology, psychology, and other disciplines have studied the persistent underrepresentation of women in science, technology, engineering, and mathematics (STEM). This chapter summarizes this research. It argues that women’s underrepresentation is concentrated in the math-intensive science fields of geosciences, engineering, economics, math/computer science, and physical science. Its analysis concentrates on the environmental factors that influence ability, preferences, and the rewards for those choices. The chapter examines how gendered stereotypes, culture, role models, competition, risk aversion, and interests contribute to the gender STEM gap, starting in childhood, solidifying by middle school, and affecting women and men as they progress through school and higher education and into the labor market. The results are consistent with preferences and psychological explanations for the underrepresentation of women in math-intensive STEM fields.
Researchers from economics, sociology, psychology, and other disciplines have studied the persistent under-representation of women in science, technology, engineering, and mathematics (STEM). This chapter summarizes this research. We argue that women's under-representation is concentrated in the math-intensive science fields of geosciences, engineering, economics, math/ computer science and physical science. Our analysis concentrates on the environmental factors that influence ability, preferences, and the rewards for those choices. We examine how gendered stereotypes, culture, role models, competition, risk aversion, and interests contribute to gender STEM gap, starting at childhood, solidifying by middle school, and affecting women and men as they progress through school, higher education, and into the labor market. Our results are consistent with preferences and psychological explanations for the under-representation of women in math-intensive STEM fields.
Policy Insights from the Behavioral and Brain Sciences, 2014
Scientific advances fuel American economic competitiveness, quality of life, and national security. Much of the future job growth is projected in science, technology, engineering, and mathematics (STEM). However, the supply of domestic students who pursue STEM careers remains small relative to the demand. On the supply side, girls and women represent untapped human capital that, if leveraged, could enhance the STEM workforce, given that they comprise 50% of the American population and more than 50% of the college-bound population. Yet the scarcity of women in STEM careers remains stark. What drives these gender disparities in STEM? And what are the solutions? Research points to different answers depending on the stage of human development. Distinct obstacles occur during three developmental periods: (a) childhood and adolescence, (b) emerging adulthood, and (c) young-to-middle adulthood. This article describes how specific learning environments, peer relations, and family characteri...
Gender and Education, 2020
Females have been discouraged from taking science, technology, engineering, and math (STEM) classes during high school and college, resulting in limited access to high-paying STEM careers. Therefore, these females could miss opportunities for these high-paying careers. The rationale of this research was to quantify the relationship between the number of STEM classes the sampled females took, the number of female role models they had during high school and college, their career choices, and salaries. The theoretical construct was based on Erikson's social developmental theory, which postulates a relationship between earlier life events and later life events, and Acker's masculinity theory, which postulates that females in traditionally male fields may be uneasy performing functions opposite to what they naturally perform. Key questions examined the relationships between STEM classes, role models, career choices, and salaries. The sample was a stratified random sample (n = 48) of female alumnae of 4 universities, born after 1980. Data were collected from a designed online instrument, validated by a pilot. The data were analyzed with a multiple regression and an analysis of variance. The findings revealed a significant relationship between the number of STEM classes, career choices and salary. However, there was no significance found between the numbers of role models, career choices and salary The implication for social change is that by making scholars in the fields of education and management aware about the relationship between the number of STEM classes taken, career choices, and salaries, females can be more encouraged to become interested in STEM courses earlier in life, making it more likely they will choose STEM careers This can be accomplished through scholarly journals, which hopefully will improve perceptions of the STEM abilities of females.
Sotang, Yearly Peer Reviewed Journal
The low participation of females in STEM (Science, Technology, Engineering, and Mathematics) subjects is a worldwide issue. There are so many problems being raised in the context of studying higher education for females. The purpose of this study is to explore the effecting factors in enrollment and success in STEM education for females. It is based on the review of literature on female enrollment and participation in STEM education. Due to several factors such as stereotypes and biases, societal and cultural misconceptions, lack of confidence and self-perception, and gender-based discrimination are the major causes to enhance the gender gap in STEM education. To create a more inclusive environment for females in STEM education the role of nation, society, and family is to be supportive. Women should fight against all kinds of discrimination based on their willpower. This study would help to empower women and also contribute to investigate the cause of gender inequality in STEM educ...
2017
Despite similar achievement levels, females continue to be underrepresented in Science, Technology, Engineering, and Mathematics (STEM) disciplines. Given the strategic importance of these for New Zealand’s future, ensuring females have equitable access to education and careers in these sectors is vital for upholding diversity and equality. This literature review examines current research on gender disparities in STEM, and identifies three key contexts of gender interest in STEM: developing, maintaining, and retaining. These contexts are aligned to the primary, secondary, and tertiary, education sectors, within which current research on self-concept and self-efficacy, social belongingness, and stereotypes are investigated. A key finding of the importance of physical science exposure and experience for later female vocational interest and retention is identified. This and other outcomes from the literature, provide evidence for potential tangible strategies to encourage increased gen...
Polis, 2017
Changes and instability in the pathways that women follow in the fields of Science, Technology, Engineering and Mathematics (STEM) in terms of both education and employment have become a major issue of national and international debate. Despite a growing number of women at the university and post-university levels (doctorate research programs, PhDs) in STEM fields, there still appear to be old and new composite inequalities in female trajectories of study that continue in their professional careers. Through an analysis of various data sources regarding women's participation in these fields of study and employment, the paper analyzes if and how phenomena of gender-based polarization in scientific fields are decreasing over time, if women's professional and study paths are being reconfigured and, finally, whether there is a trend toward greater gender equity or if, conversely, expansion processes are accompanied by new polarizations between different STEM fields. Taking into account the differences between STEM disciplines, our empirical analysis reveals a differential expansion that maintains the persistence of inequalities based on both gender and social background.
American Educational Research Journal, 2012
This article investigates the empirical basis for often-repeated arguments that gender differences in entrance into science, technology, engineering, and mathematics (STEM) majors are largely explained by disparities in prior achievement. Analyses use data from three national cohorts of college matriculates across three decades to consider differences across several indicators of high school math and science achievement at the mean and also at the top of the test distribution. Analyses also examine the different comparative advantages men and women enjoy in math/science versus English/reading. Regardless of how prior achievement is measured, very little of the strong and persistent gender gap in physical science and engineering majors over time is explained. Findings highlight the limitations of theories focusing on gender differences in skills and suggest directions for future research.
2018
It is a well-known and widely lamented fact that men outnumber women in a number of fields in STEM, including physics, mathematics, and computer science. The most common explanations for the gender gaps are discrimination and social norms, and the most common policy prescriptions are targeted at these ostensible causes. However, a great deal of evidence in the behavioral sciences suggests that discrimination and social norms are only part of the story. Other plausible contributors include relatively large mean sex differences in career and lifestyle preferences, and relatively small mean differences in cognitive aptitudes – some favoring males, others favoring females – which are associated with progressively larger differences the further above the mean one looks. A more complete picture of the causes of the unequal sex ratios in STEM may productively inform policy debates, and is likely to improve women’s situation across the STEM fields.
Frontiers in Education, 2019
Studies have repeatedly reported that math and science are perceived as male domains, and scientists as predominantly male. However, the impact of the gender image of school science subjects on young people's career choice has not yet been analyzed. This paper investigates the impact of the masculinity image of three school subjects-chemistry, mathematics, and physics-on secondary students' career aspirations in STEM fields. The data originated from a cross-sectional study among 1'364 Swiss secondary school students who were close to obtaining their matriculation diploma. By means of a standardized survey, data on students' perception of masculinity of science school subjects were collected using semantic differentials. The results indicate that for both sexes, math has the strongest masculinity attribution, followed by physics as second, and, finally, chemistry with the lowest masculinity attribution. With respect to gender differences, our findings have shown that among female students, the attribution of masculinity to the three school subjects does not differ significantly, meaning that female students rated all subjects similarly strongly as masculine. Within the group of male students however, the attribution of masculinity to math compared to chemistry and physics differs significantly, whereas the attribution of masculinity to chemistry and physics does not. Our findings also suggest that gender-science stereotypes of math and science can potentially influence young women's and men's aspirations to enroll in a STEM major at university by showing that a less pronounced masculine image of science has the potential to increase the likelihood of STEM career aspirations. Finally, the paper discusses ways of changing the image of math and science in the context of secondary education in order to overcome the disparities between females and males in STEM.
Atlantis Highlights in Social Sciences, Education and Humanities, 2022
Despite recent progress in narrowing gender gap in enrolment in math courses and relative achievements therein, girls and women still remain underrepresented when it comes to formal education in math-intensive academic fields such as engineering, mathematics, technology, and science, often referred to as STEM. Capacity to undertake a job and also the drive to put scientific and mathematical aptitude to use are both included in career paths. Individual variations in cognitive capability and motivation are impacted by a variety of sociocultural variables. The authors have presented six explanations for girl's inadequate representation in math-intensive STEM professions after analysing academic researches carried out in last three decades in domains of education, economics, sociology, and psychology: (a) preconceptions and biases based on gender, (b) field-specific ability beliefs, (c) lifestyle values or work-family balance preferences, (d) professional inclinations or desires, (e) comparative cerebral capabilities, and (f) cognitive aptitude. The study goes on to discuss sociocultural and biological causes for reported gender differences in motivational and cognitive factors, as well as the evolutionary period(s) during which each variable became most important. Authors concludes with evidence and scientific-proof based research, policy and practise suggestions for improving STEM inclusivity, and gives recommendations and directions for forthcoming researches.
The number of Turkish universities strongly increased from 1999 to present and the total number of students in technical sciences grew accordingly. Perhaps unsurprisingly, there are greater proportions of men than women involved in engineering and technical programs, although it is a documented fact that women in STEM jobs earn significantly more than those in non-STEM occupations and experience a smaller wage gap relative to men. But STEM is not a compact or amorphous “block”, large differences existing between its components. For example, the discrepancy between the proportion of women to men in science faculties and that in the engineering faculties shows that the trend is not to discriminate against women in all domains relating to exact sciences, but especially in those that are more “hands-on”. Engineering is thought to be a domain where “male” qualities, such as physical strength and endurance to effort and severe weather are highly important, giving rise to the stereotype of the strong engineer working in adverse conditions, which is probably one of the reasons why girls are less likely to be interested in pursuing this career. In an attempt to understand the motivation for choosing a career path, issues such as early encounters with technology, fair evaluation systems, non-gender biased education and an experimental teaching style will be addressed, together with issues related to barriers like early gender biased education, a theoretical teaching style, gender biased teachers and attitudes, difficulty in conciliating between careers and families and between professional obligations and personal life
New Directions for Institutional Research, 2011
Students’ perceptions of their mathematics ability vary by gender and seem to influence science, technology, engineering, and math (STEM) degree choice. Related, students’ perceptions during academic difficulty are increasingly studied in educational psychology, suggesting a link between such perceptions and task persistence. Despite interest in examining the gender disparities in STEM, these concepts have not been considered in tandem. We investigate how perceived ability under challenge – in particular in mathematics domains – influences entry into the most sex-segregated and mathematics-intensive undergraduate degrees: physics, engineering, mathematics, and computer science (PEMC). Using nationally representative Education Longitudinal Study of 2002 (ELS) data, we estimate the influence of perceived ability under challenging conditions on advanced high school science course taking, selection of an intended STEM major, and specific major type two years after high school. Demonstrating the importance of specificity when discussing how gender influences STEM career pathways, the intersecting effects of gender and perceived ability under mathematics challenge were distinct for each scientific major category. Perceived ability under challenge in secondary school varied by gender, and was highly predictive of selecting PEMC and health sciences majors. Notably, women’s 12th grade perceptions of their ability under mathematics challenge increased the probability that they would select PEMC majors, increasing women's probability of selecting PEMC over and above biology. In addition, gender moderated the effect of growth mindset on students’ selection of health science majors. The implications of these results are discussed, with particular attention to access to advanced scientific coursework in high school and interventions aimed at enhancing young women’s perceptions of their ability to facilitate their pathways to scientific degrees.
European Journal of Personality, 2021
It is a well-known and widely lamented fact that men outnumber women in a number of fields in STEM (science, technology, engineering and maths). The most commonly discussed explanations for the gender gaps are discrimination and socialization, and the most common policy prescriptions target those ostensible causes. However, a great deal of evidence in the behavioural sciences suggests that discrimination and socialization are only part of the story. The purpose of this paper is to highlight other aspects of the story: aspects that are commonly overlooked or downplayed. More precisely, the paper has two main aims. The first is to examine the evidence that factors other than workplace discrimination contribute to the gender gaps in STEM. These include relatively large average sex differences in career and lifestyle preferences, and relatively small average differences in cognitive aptitudes-some favouring males, others favouring females-which are associated with progressively larger differences the further above the average one looks. The second aim is to examine the evidence suggesting that these sex differences are not purely a product of social factors but also have a substantial biological (i.e. inherited) component. A more complete picture of the causes of the unequal sex ratios in STEM may productively inform policy discussions.
In my computer science class last semester, there were 70 students on the roll. One of them was a girl.
Industrial and Organizational Psychology, 2018
Increasing the representation of women in science, technology, engineering, and mathematics (STEM) is one of our nation's most pressing imperatives. As such, there has been increased lay and scholarly attention given to understanding the causes of women's underrepresentation in such fields. These explanations tend to fall into two main groupings: individual-level (i.e., her) explanations and social-structural (i.e., our) explanations. These two perspectives offer different lenses for illuminating the causes of gender inequity in STEM and point to different mechanisms by which to gain gender parity in STEM fields. In this article, we describe these two lenses and provide three examples of how each lens may differentially explain gender inequity in STEM. We argue that the social-structural lens provides a clearer picture of the causes of gender inequity in STEM, including how gaining gender equity in STEM may best be achieved. We then make a call to industrial/organizational psychologists to take a lead in addressing the societal-level causes of gender inequality in STEM.
2017
The gender divide in Science, Technology, Engineering and Mathematics study is more complicated than most researchers, policy makers, and practitioners previously thought, writes Natasha Codiroli Mcmaster. She explains that young women's social circumstances play a key role in whether they choose to study STEM at university.
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