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Gender inequality within stem fields
Gender inequality within stem fields
Gender inequality within stem fields
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There are many reasons why women persist to be in a collegiate STEM program. Most of the literature review drew upon three factors: academic preparation & self-confidence, cultural perspectives, and career/life balance perspectives. This review will also look at undergraduate women’s decision-making processes with respect to major field of study and career direction with the help of Tobin’s (2010) General Expected Values Model. All three of these perspectives is to show how overall, they impact a women’s decision considering a major in STEM fields and continuing to enter a STEM career.
Academic Preparation and Self Confidence Academic preparation and self-confidence looks at the impact of classes taken by the student and whether or not advanced
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Rask (2010) found that at a selective northeastern liberal arts college, females’ decisions to persist in STEM field majors were less sensitive to grades than male students. However, Ost (2010) found that, at a large, elite, private, research university, females’ persistence decisions were more sensitive to grades in the physical sciences than their male counterparts.
In summary, women and men have had equal access to academic preparation in math and science in order for them to succeed in a STEM major. In the past decade, we can see that having equal access was a major push for women. Women see themselves doing well in math as a talent and helps them to persist in a STEM major. Even when they have the right idea in mind that their ultimate goal is to help others it becomes distant when women find their self- confidence going down when they are struggle with a STEM introductory course.
Cultural
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Modi, K., Schoenerg, J., & Salmond, K. (2012) studied adolescent girls’ perceptions of STEM and found a strong interest in science and math in this age group but little interest in STEM as a career. Thus, already by the middle school years, parity in academic capability and interests in math and science does not lead to equivalent interest in these fields as career opportunities.
Women appear to be influenced by role models, such as peers, and other female classmates and female faculty more so than their male counterparts. Price (2010) found that female instructors had a positive impact on choice of major for female students, supporting a role model influence. Accordingly, Milgram (2011) argued for increasing the number of professional STEM women role models to help strengthen the vision of successful women in STEM careers.
Kerr, B., Multon, K., Syme, M., Fry, N., Owens, R., Hammond, M., (2012) introduced social status and prestige into the discussion. Kerr, et al theorized that a person’s social status and prestige environment are effective predictors of women’s persistence in STEM fields. Women that feel themselves removed from the centers of power in STEM studies are less likely to persist. Kerr et al. indicated that social capital (e.g., well connected networking) was as important as financial
In her essay, “When Bright Girls Decide That Math is a ‘Waste of Time,’” Jacoby talks about how often times nowadays girls decide that they no longer want to take math and science courses in favor “easier” subjects such as English or art. Jacoby argues that this is because of stereotypes of women that have been instilled in girls by society; they think math and science are too hard or they aren’t as smart as boys so it’s not worth it to take them. Jacoby claims that “The real problem is that so many girls eliminate themselves from any serious possibility of studying science as a result of decisions made during the vulnerable period of midadolescence, when they
“Gender disparity” refers to the differences between the percentages of men and women obtaining college degrees. Hulbert coveys the different ways in which young boys and girls process information. Women tend to be better at reading, writing, and verbal skills, while men tend to better at math and sciences. By sixth grade, young boys tend to lose interest in literature and are often struggling in subjects such as English and reading, while young girls are often losing interest in math and science by sixth grade. Boys perform consistently below girls on tests of reading and verbal skills. By high school, girls tend to score in the middle or average; however, boys tend to score either really well or rather poorly.
In this scholarly journal based on the author’s qualitative research, Allan and Madden attempt to discover if “chilly classrooms” exist in higher education, such as a college. The term “chilly classroom” was derived from Roberta M. Hall and Bernice R. Sandler who believe women are provided the same education at school, however, they are treated differently from men. I would use this source to emphasize the division of gender in education, and how teacher’s perspectives can be biased towards male students simply because we’re used to the oppression, enforcing it as a social norm. However, the results have a drawback since they came from only one university and didn’t include females in STEM courses.
From what has been discussed in class and from what society has taught me, there are more men in science. According to my results, I heavily associate men with science and women with liberal arts. I find this conclusion to be true because I’ve had my own experiences with these results. As a young student, my math and science classes were much more competitive and, as a female, I had to be better than not only the
Wang, Ming-Te, Jacquelynne S. Eccles, and Sarah Kenny. "Not Lack Of Ability But More Choice: Individual And Gender Differences In Choice Of Careers In Science, Technology, Engineering, And Mathematics." Psychological Science (Sage Publications Inc.) 24.5 (2013): 771, 774. Academic Search Premier. Web. 15 Nov. 2013.
Ethical issues are being raised due to the underrepresentation of women in STEM fields and stereotype threats arises which are relevant to evaluating performance. A research report by Hills shows that’s stereotype threat is one compelling explanation for why women remain underrepresented in STEM fields” (Hills, Para. 2). People have implicit biases and they unconsciously believe that women cannot do better in math and science as they underestimate women’s capabilities. People’s negative stereotypes continue to influence their views about women in technology fields. Romano (2016) wrote, “There are several forms of sexism present in the academic setting, such as considering women less competent in mathematics than their male counterparts or considering men lower than their female counterparts in languages (Romano, para. 2). Underrepresentation of women in technology is a complex issue as male colleagues undervalue women, thinking they cannot be good in math and technology which lowers women’s aspirations. According to the researchers at Pew Research Center, K. Parker & C. Funk, a survey conducted in July and August (2017) women in the United States believe gender discrimination is a big problem in tech industries. The survey goes on to state, “The survey comes amid public debate about
The authors also argue that peer influences, social class, and the role of race have contributed to the educational expectations differently for men and women. This research was published in 2013, and its mode is objective. This source is credible because it has more than fifty references, and most of them are scholar sources. I will use this source to come up possible solutions for colleges and communities for the issue of gender gap in higher education, that they need actions to change the educational expectations of men towards higher
Thirdly the consideration of the availability of material, research, statistics and research subjects. Hypothesis: Girls are less likely then boys to study science and technology subjects in Higher education because these subjects are seen as masculine subjects. Objectives: * Find out what subjects girls study more in higher education as
STEM, also known as Science, Technology, Engineering, and Mathematics, is the field that is advancing at a rapid rate. Within STEM, there are many occupations across the four fields. As years go on, more and more people start to have a growing interest in STEM, but this can’t be said for women. Women almost take up half of the workforce, but when it comes to STEM, women only take about 24%, almost half of the women aren’t participating in STEM. The numbers continue to get worse. From 2000 - 2009, the numbers have remained at a constant 24%. At this rate, employers could potentially see a decline in women’s representation, but there have been efforts to change this rate (Beede et al par. 6). This could mean disastrous problems in the world as more problems will arise and there’s nothing to be done because companies are non-diverse and
Throughout the years, males have dominated the academic disciplines of science, technology, engineering, and mathematics (STEM) with very few females finding their way in the mix (Steinberg, Okun, & Aiken, 2012). Those females enrolling in the STEM majors soon find themselves questioning why they have, and many quickly change their majors to more female-accepting professions (Steele, James, & Barnett, 2002). The view that women lack the intellect to succeeded in STEM disciplines has been a prevailing one for much of history (Cadinu, Maass, Rosabianca, & Kiesner, 2005). Many researchers have questioned whether it is social stigma impeding female success or indeed basic biological differences that make males are more successful in these fields than women (Smith, Sansone, & White, 2007).
The statistics can be somewhat startling, while women receive 56% of BA degrees in the United States, they receive only 37% of the Science, Mathematics, and Engineering (SME) bachelor degrees (Chang, 1). As scary as the statistics on women are, they only point to an even bigger problem among all SME majors. According to one study, there is a 40% decline in the number of undergraduate science majors between the first and senior year of college (Didon, 336). Another study found that about 50% of the students who enter college in SME majors will change their major in two years (Change, 1). In a study of Hispanic American women who declared physical science or mathematics majors, 50% drop out within the first grading period (Ortiz, 1). The lack of SME majors has often been blamed on America’s high schools or even elementary schools, with university professors claiming students are not encouraged to consider science careers or are unprepared by their high school teachers. The statistics tell another story, no matter which specific numbers you consider, 50% in two years or 40% in their college careers, students are getting turned off from SME careers while in college, not high school. And the problem isn’t just with women; men are fleeing the sciences as well.
Social capital, however, inheres in the structure of their relationships. Thus to possess social capital, a person must be related to others and it is those others, not himself, who are the actual source of advantage. In order to address this question I will firstly compare and contrast the definitions of social capital... ... middle of paper ... ... how this situation can be improved.
STEM is best known as science, technology, engineering, and mathematics. STEM for many years has been primarily seen as and stereotyped into a masculine work field. But as of recent years, while it expands, more and more women have been rising in these fields. However, there is still a tremendous gender gap between men and women in these fields and areas of work. The gender gap between men and women in STEM is alive and well. There is no denying that the gender gap between men and women in STEM is immense. But there instead are many sufficient reasons as to why there is such a huge gap between men and women within in fields. Some probable causes for the lack of women seen in these areas are biased towards women, unconscious bias girls receive
Girls are seen as caring, nurturing, quiet, and helpful. They place other’s needs above their own. Girls get ahead by hard work, not by being naturally gifted. Boys are seen as lazy, but girls are seen as not capable. In class, teacher will call on boys more than they call on girls. Boys are seen as better at math and science; while girls are better at reading and art. This bias is still at work even out of the classroom. There are more males employed at computer firms than women. The ratio of male to female workers in STEM fields is 3-1. In college, more women major in the humanities than in the sciences. In education, women are often seen as lesser than; even though 65% of all college degrees are earned by women. Women are still often seen as needing to be more decorative than intellectual, as represented by the Barbie who included the phrase, “Math is hard!” and the shirt that JC Penneys sold that said, “I’m too pretty to do homework, so my brother has to do it for me.” While there was a backlash on both items, it points out that there is a great deal of work to do on the educational gender bias to be
Call me a bigot if you want but men are better mathematicians than women. Year after year, men score higher on the SAT’s, more men receive prestigious educations from the best technical schools in the nation, and men obtain more degrees, secure more jobs and get promoted more often. “The ETS report on students taking the SAT examinations indicates that males have traditionally scored 40-50 points higher on the mathematics section” (Women) “In 1996, California Institute of Technology’s enrollment was 75% male, Massachusetts Institute of Technology’s enrollment was 62% male, Renssalear Polytechnic Institute’s enrollment was 77% male, Rochester Institute of Technology’s enrollment was is 68% male, and Worchester Institute of Technology’s enrollment was 79% male” (Baron’s). The future for women who enter the work place as mathematicians is no more encouraging. “Roughly three times as many women are unemployed and six times as many women are in part time positions. The female mathematicians who acquire these full time jobs are less likely than men to be promoted to a position such as full or associate professor” (awm-math.org). Females’ lack of success as mathematicians has nothing to do with their mathematical potential. The reason females do not excel in mathematical fields can be explained by high school course selection, social pressures and support and not by genetic differences.