Title: Why So Few?
1Why So Few?
- Women in Science, Technology, Engineering, and
Mathematics
2Why So Few? Women in Science, Technology, Engineer
ing, and Mathematics
3High School
SOURCE Nord, C., Roey, S., Perkins, R., Lyons,
M., Lemanski, N., Brown, J., and Schuknecht, J.
(2011). The Nations Report Card Americas High
School Graduates (NCES 2011-462). U.S. Department
of Education, National Center for Education
Statistics. Washington, DC U.S. Government
Printing Office.
4College
5Labor Force
6Women are underrepresented in many science and
engineering occupations.
7Why So Few? presents evidence that social and
environmental factors contribute to the
underrepresentation of women and girls in STEM.
8 Believing in the potential for intellectual
growth, in and of itself, improves outcomes.
9Fixed Mindset Growth Mindset
Intelligence is static. Intelligence can be developed.
Leads to a desire to look smart and therefore a tendency to Leads to a desire to learn and therefore a tendency to
avoid challenges embrace challenges
give up easily due to obstacles persist despite obstacles
see effort as fruitless see effort as path to mastery
ignore useful feedback learn from criticism
be threatened by others success be inspired by others success
10- Teach children that intellectual skills can be
acquired. - Praise effort rather than intelligence or talent.
11 Negative stereotypes about girls math
abilities can adversely affect girls math
performance
12Performance on a Challenging Math Test, by
Stereotype Threat Condition and Gender
Source Spencer, S. J., Steele, C. M., Quinn,
D. M., 1999, "Stereotype threat and women's math
performance," Journal of Experimental Social
Psychology, 35(1), p. 13.
13- Expose girls and young women to successful female
role models in math and science. - Teach students about stereotype threat.
14 Girls assess themselves lower and hold
themselves to a higher standard when assessing
their abilities in male fields like science
and math.
15- Does this rectangle have more black or more white?
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18- Set clear performance standards
- Help girls and young women recognize their
career-relevant skills
19 Spatial skills are not innate and can be
improved with training
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21- Encourage girls to play with building toys and do
mechanical drawing to develop their spatial
skills.
- Use handheld models where possible.
22 At colleges and universities, little things can
make a big difference for female students in
science and engineering.
23SOURCE Higher Education Research Institute,
University of California at Los Angeles, special
tabulations (2011) of the Survey of the American
Freshman cited in National Science Foundation,
Division of Science Resources Statistics. 2011.
Women, minorities, and persons with disabilities
in science and engineering 2011. Special Report
NSF 11-309. (Arlington, VA) Table 2-8.
24- Actively recruit female students
- Emphasize broad applications of science and
engineering in introductory courses. - Consider pre-requisites carefully.
25 Women STEM faculty are less likely than their
male peers to feel that they fit or belong in
their departments.
26Female STEM Faculty in Four-Year Educational
Institutions, by Discipline and Tenure Status,
2006
Source National Science Foundation, Division of
Science Resources Statistics, 2009,
Characteristics of doctoral scientists and
engineers in the United States 2006 (Detailed
Statistical Tables) (NSF 09-317) (Arlington, VA),
Author's analysis of Table 20.
27- Provide mentoring for junior faculty.
- Implement effective work-life balance policies to
support faculty.
28 In a test of implicit bias, most people
associate science and math fields with male
29- Take a test to learn about your unconscious bias
at https//implicit.harvard.edu/implicit/selectate
st.html. - Take steps to address your biases.
30- Women in male jobs are viewed as less competent
than their male peers. - When women are clearly competent, they are often
considered less likable.
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32- Raise awareness about bias against women in STEM
fields. - Create clear criteria for success.
33To download the pdf www.aauw.org/research/why-so-
few
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