Female education in STEM refers to child and adult female representation in the educational fields of science, technology, engineering, and mathematics (STEM). In 2017, 33% of students in STEM fields were women.
The organization UNESCO has stated that this gender disparity is due to discrimination, biases, social norms and expectations that influence the quality of education women receive and the subjects they study. [1] UNESCO also believes that having more women in STEM fields is desirable because it would help bring about sustainable development. [1]
Gender differences in STEM education participation are already visible in early childhood care and education in science- and math-related play, and become more pronounced at higher levels of education. Girls appear to lose interest in STEM subjects with age, particularly between early and late adolescence. [1] This decreased interest affects participation in advanced studies at the secondary level and in higher education. [1] Female students represent 35% of all students enrolled in STEM-related fields of study at this level globally. Differences are also observed by disciplines, with female enrollment lowest in engineering, manufacturing and construction, natural science, mathematics and statistics and ICT fields. Significant regional and country differences in female representation in STEM studies can be observed, though, suggesting the presence of contextual factors affecting girls’ and women's engagement in these fields. Women leave STEM disciplines in disproportionate numbers during their higher education studies, in their transition to the world of work and even in their career cycle. [1] [3] [4] [5] [6] [7]
Data on gender differences in learning achievement present a complex picture, depending on what is measured (subject, knowledge acquisition against knowledge application), the level of education/age of students, and geographic location. Overall, women's participation has been increasing, but significant regional variations exist. For example, where data are available in Africa, Latin America and the Caribbean, the gender gap is largely in favor of boys in mathematics achievement in secondary education. In contrast, in the Arab States, girls perform better than boys in both subjects in primary and secondary education. As with the data on participation, national and regional variations in data on learning achievement suggest the presence of contextual factors affecting girls’ and women's engagement in these fields. Girls’ achievement seems to be stronger in science than mathematics and where girls do better than boys, the score differential is up to three times higher than where boys do better. [8] Girls tend to outperform boys in certain sub-topics such as biology and chemistry but do less well in physics and earth science.
The gender gap has fallen significantly in science in secondary education among TIMSS trend countries: 14 out of 17 participating countries had no gender gap in science in 2015, compared to only one in 1995. However, the data are less well known outside of these 17 countries. The gender gap in boys' favor is slightly bigger in mathematics but improvements over time in girls’ favor are also observed in certain countries, despite the important regional variations. Gender differences are observed within mathematical sub-topics with girls outperforming boys in topics such as algebra and geometry but doing less well in "number". Girls’ performance is stronger in assessments that measure knowledge acquisition than those measuring knowledge application. Country coverage in terms of data availability is quite limited while data are collected at a different frequency and against different variables in the existing studies. There are large gaps in our knowledge of the situation in low- and middle-income countries in sub-Saharan Africa, Central Asia, and South and West Asia, particularly at the secondary level. [1] [4] [5] [9] [10] [11] [12] [13]
According to UNESCO, there are multiple and overlapping factors which influence girls' and women's participation, achievement and progression in STEM studies and careers, all of which interact in complex ways, including:
Individual level
The question of whether there are differences in cognitive ability between men and women has long been a topic of debate among researchers and scholars. Some studies have found no differences in the neural mechanism of learning based on sex.
Loss of interest has been the major reason cited for girls opting out of STEM. However, some have stated that this choice is influenced heavily by the socialisation process and stereotyped ideas about gender roles, including stereotypes about gender and STEM. Gender stereotypes that communicate the idea that STEM studies and careers are male domains can negatively affect girls' interest, engagement, and achievement in STEM and discourage them from pursuing STEM careers. Girls who assimilate such stereotypes have lower levels of self-efficacy and confidence in their ability than boys. [15] Self-efficacy affects both STEM education outcomes and aspirations for STEM careers to a considerable extent. In recent years, more women have been majoring in STEM, although we still continue to witness vast imbalances between men and women studying math, engineering, or science. [16]
Parents, including their beliefs and expectations, play an important role in shaping girls' attitudes towards, and interest in, STEM studies. Parents with traditional beliefs about gender roles and who treat girls and boys unequally can reinforce stereotypes about gender and ability in STEM. Parents can also have a strong influence on girls' STEM participation and learning achievement through the family values, environment, experiences, and encouragement that they provide. Some research finds that parents’ expectations, particularly the mother's expectations, have more influence on the higher education and career choices of girls than those of boys. [1] Higher socio-economic status and parental educational qualifications are associated with higher scores in mathematics and science for both girls and boys. Girls' science performance appears to be more strongly associated with mothers' higher educational qualifications, and boys' with their fathers'. Family members with STEM careers can also influence girls’ STEM engagement. The broader socio-cultural context of the family can also play a role. Factors such as ethnicity, language used at home, immigrant status, and family structure may also have an influence on girls' participation and performance in STEM. Peers can also impact on girls’ motivation and feeling of belonging in STEM education. Influence of female peers is a significant predictor of girls' interest and confidence in mathematics and science. [9]
Qualified teachers with specialisation in STEM can positively influence girls' performance and engagement with STEM education and their interest in pursuing STEM careers. Female STEM teachers often have stronger benefits for girls, possibly by acting as role models and by helping to dispel stereotypes about sex-based STEM ability. Teachers' beliefs, attitudes, behaviours, and interactions with students, as well as curricula and learning materials, can all play a role as well. Opportunities for real-life experiences with STEM, including hands-on practice, apprenticeships, career counselling, and mentoring can expand girls' understanding of STEM studies and professions and maintain interest. Assessment processes and tools that are gender-biased or include gender stereotypes may negatively affect girls' performance in STEM. Girls' learning outcomes in STEM can also be compromised by psychological factors such as mathematics or test anxiety. [1] [4] [6] [9]
The confidence of a female teacher in STEM subjects also has a strong impact on how well female students will perform in those subjects in the elementary school classroom. For example, female elementary teachers with anxiety around math will negatively affect the achievement of their female students in math. [17] Correlations have been found between gender bias in female elementary students and their achievement in mathematics. Those who had lower achievement over time have also been found to believe that boys are inherently better at mathematics than girls. [17]
Cultural and social norms influence girls’ perceptions about their abilities, roles in society and career and life aspirations. The degree of gender equality in wider society influences girls' participation and performance in STEM. To inspire and create an environment that is welcoming to girls, it is important to encourage them to pursue STEM areas from an early age in their education. [18] In countries with greater gender equality, girls tend to have more positive attitudes and confidence about mathematics, and the gender gap in achievement in the subject is smaller. Additionally, in some countries there were more women receiving computer science degrees than men. [19] That was primarily because a computer science degree was seen as indoor work. When the job title was adjusted to sound less masculine and more geared towards relationship building, females appeared to be more likely to enter the STEM field. Gender stereotypes portrayed in the media are internalised by children and adults and affect the way they view themselves and others. Media can perpetuate or challenge gender stereotypes about STEM abilities and careers. [20]
The prolonged consequence of consistent gendered stereotypes relating to women's inability to become successful in the field of STEM is the development of a fixed mindset that they are not sufficiently equipped to think critically or contribute valuable ideas in careers in fields that currently employ predominantly male workers. Stepping into a workplace where men outnumber women, knowing that male co-workers expect lower capabilities from a woman, significantly undermines women's skills and performance in their jobs. This in part is due to the heuristic representativeness – when people do not look the part, others are more critical of them. In a heavily male populated environment, men are more critical of women because they do not appear how the abstract representation in STEM fields typically appear. A study demonstrating the effects of construal level priming conditions between men and women, concluded that high construal levels facilitate the use of representativeness heuristic. In contrast, low construal conditions portrayed a decrease in the use of representativeness heuristic. [15]
Creative Resilience: Art by Women in Science is a multi–media exhibition and accompanying publication, produced in 2021 by the Gender Section of the United Nations Educational, Scientific and Cultural Organization (UNESCO). The project aims to give visibility to women, both professionals and university students, working in science, technology, engineering and mathematics (STEM). With short biographical information and graphic reproductions of their artworks dealing with the Covid-19 pandemic and accessible online, the project provides a platform for women scientists to express their experiences, insights, and creative responses to the pandemic. [24]
This article incorporates text from a free content work( license statement/permission ).Text taken from Cracking the code: girls' and women's education in science, technology, engineering and mathematics (STEM) ,23, 37, 46, 49, 56, 58,UNESCO,UNESCO.
Achievement gaps in the United States are observed, persistent disparities in measures of educational performance among subgroups of U.S. students, especially groups defined by socioeconomic status (SES), race/ethnicity and gender. The achievement gap can be observed through a variety of measures, including standardized test scores, grade point average, dropout rates, college enrollment, and college completion rates. The gap in achievement between lower income students and higher income students exists in all nations and it has been studied extensively in the U.S. and other countries, including the U.K. Various other gaps between groups exist around the globe as well.
Stereotype threat is a situational predicament in which people are or feel themselves to be at risk of conforming to stereotypes about their social group. It is theorized to be a contributing factor to long-standing racial and gender gaps in academic performance. Since its introduction into the academic literature, stereotype threat has become one of the most widely studied topics in the field of social psychology.
The presence of women in science spans the earliest times of the history of science wherein they have made significant contributions. Historians with an interest in gender and science have researched the scientific endeavors and accomplishments of women, the barriers they have faced, and the strategies implemented to have their work peer-reviewed and accepted in major scientific journals and other publications. The historical, critical, and sociological study of these issues has become an academic discipline in its own right.
Science, technology, engineering, and mathematics (STEM) is an umbrella term used to group together the distinct but related technical disciplines of science, technology, engineering, and mathematics. The term is typically used in the context of education policy or curriculum choices in schools. It has implications for workforce development, national security concerns, and immigration policy, with regard to admitting foreign students and tech workers.
Mathematical anxiety, also known as math phobia, is a feeling of tension and anxiety that interferes with the manipulation of numbers and the solving of mathematical problems in daily life and academic situations.
Historically, women in the United States have been represented at lower rates than men in both science and engineering college programs and careers. Over time, this pattern has led to a significantly higher concentration of male professional engineers compared to women. Additionally, this disparity has led to careers in Education, History, English, Humanities and the like to be seen as "feminine" careers and areas of study. Some Feminist theorists suggest that these social and historical factors have perpetuated women's low participation rates in engineering over time. Numerous explanations and points of view have been offered to explain women's participation rates in this field. These explanations include beliefs regarding women's lack of interest in science and engineering, their physiological inability to succeed as engineers, and environmental factors in women's childhoods that discourage them from entering science and engineering fields.
Sex differences in education are a type of sex discrimination in the education system affecting both men and women during and after their educational experiences. Men are more likely to be literate on a global average, although higher literacy scores for women are prevalent in many countries. Women are more likely to achieve a tertiary education degree compared to men of the same age. Men tended to receive more education than women in the past, but the gender gap in education has reversed in recent decades in most Western countries and many non-Western countries.
Educational Inequality is the unequal distribution of academic resources, including but not limited to school funding, qualified and experienced teachers, books, physical facilities and technologies, to socially excluded communities. These communities tend to be historically disadvantaged and oppressed. Individuals belonging to these marginalized groups are often denied access to schools with adequate resources and those that can be accessed are so distant from these communities. Inequality leads to major differences in the educational success or efficiency of these individuals and ultimately suppresses social and economic mobility. Inequality in education is broken down into different types: regional inequality, inequality by sex, inequality by social stratification, inequality by parental income, inequality by parent occupation, and many more.
The feminization of the workplace is the feminization, or the shift in gender roles and sex roles and the incorporation of women into a group or a profession once dominated by men, as it relates to the workplace. It is a set of social theories seeking to explain occupational gender-related discrepancies.
Women are often under-represented in the academic and professional fields of engineering; however, many women have contributed to the diverse fields of engineering historically and currently. A number of organizations and programs have been created to understand and overcome this tradition of gender disparity. Some have decried this gender gap, saying that it indicates the absence of potential talent. Though the gender gap as a whole is narrowing, there is still a growing gap with minority women compared to their white counterparts. Gender stereotypes, low rates of female engineering students, and engineering culture are factors that contribute to the current situation where men dominate in fields relating to engineering sciences.
Many scholars and policymakers have noted that the fields of science, technology, engineering, and mathematics (STEM) have remained predominantly male with historically low participation among women since the origins of these fields in the 18th century during the Age of Enlightenment.
Sex differences in human intelligence have long been a topic of debate among researchers and scholars. It is now recognized that there are no significant sex differences in average IQ, though particular subtypes of intelligence vary somewhat between sexes.
Nilanjana Dasgupta is a social psychologist whose work focuses on the effects of social contexts on implicit stereotypes - particularly on factors that insulate women in STEM fields from harmful stereotypes which suggest that females perform poorly in such areas. Dasgupta is a professor of Psychology and is the Director of the Institute of Diversity Sciences and the University of Massachusetts, Amherst.
C-STEM is a UC-approved educational preparation program for undergraduate admission for UC campuses to prepare students for college and career. C-STEM has University of California A-G Program status. High schools can add the A-G approved C-STEM curriculum to their own school’s A-G course lists for the UC/CSU admission requirements.
Gender disparity in computing concerns the disparity between the number of men in the field of computing in relation to the lack of women in the field. Originally, computing was seen as a female occupation. As the field evolved, so too did the demographics, and the gender gap shifted from female dominated to male dominated. The believed need for more diversity and an equal gender gap has led to public policy debates regarding gender equality. Many organizations have sought to create initiatives to bring more women into the field of computing.
Sex differences in education in the United States refers to the specific issues, such as gender-based discrimination related to coursework and use of disciplinary action, that American students of all genders encounter. Furthermore, while sex differences in education explains the prevalence of gender-based differences in education on a global scale, the American education system includes specific forms of gender discrimination dissimilar to other countries.
The gender-equality paradox is the finding that various gender differences in personality and occupational choice are larger in more gender equal countries. Larger differences are found in Big Five personality traits, Dark Triad traits, self-esteem, depression, personal values, occupational and educational choices. This phenomenon is seemingly paradoxical because one would expect the differences to be reduced as countries become more gender egalitarian. Such a paradox has been discussed by numerous studies ranging from science, mathematics, reading, personality traits, basic human values and vocational interests.
Gender digital divide is defined as gender biases coded into technology products, technology sector, and digital skills education. It can refer to women's and other gender identity's use of, and professional development in computing work. The gender digital divide has changed throughout history due to social roles, economics, and educational opportunities. As the gender spectrum continues to exist more prominently in social and professional spaces, the inclusion of other identities is an important area of concern in these types of conversations. These other identities can include any other than cis-gender male. Non-binary people make up a significant portion of the population and their existence is affected by the digital divide nonetheless.
Sapna Cheryan is an American social psychologist. She is a Full professor of social psychology in the Department of Psychology at the University of Washington.
According to the National Science Foundation (NSF), women and racial minorities are underrepresented in science, technology, engineering, and mathematics (STEM). Scholars, governments, and scientific organizations from around the world have noted a variety of explanations contributing to this lack of racial diversity, including higher levels of discrimination, implicit bias, microaggressions, chilly climate, lack of role models and mentors, and less academic preparation.
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