Looking Beyond Academic Performance: The Influence of Instructor Gender on Student Motivation in STEM Fields

Abstract

Recruiting more female faculty has been suggested as a policy option for addressing gender disparities in science, technology, engineering, and mathematics (STEM) fields given its ability to engage female students through a role model effect. While a small but growing body of literature has examined the role of instructor gender at the higher education level, it typically focuses only on academic outcomes. This paper utilizes a unique data set that includes not only information about student course performance in STEM but also a number of motivation-related measures. We find that having a female instructor narrows the gender gap in terms of engagement and interest; further, both female and male students tend to respond to instructor gender. We conclude by discussing the policy implications of these findings.

Keywords

female faculty in STEM instructor gender role model effects in college student-teacher gender match

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References

Antecol

Eren

Ozbeklik

(2015). The effect of teacher gender on student achievement in primary school. Journal of Labor Economics, 33, 63–89.

Bettinger

Long

(2005). Do faculty serve as role models? The impact of instructor gender on female students. American Economic Review, 95, 152–157.

Boring

Ottoboni

Stark

(2016). Student evaluations of teaching (mostly) do not measure teaching effectiveness. ScienceOpen Research, 1, 1–11.

Bureau of Labor Statistics. (2013). Labor force statistics from the CPS. Retrieved from https://www.bls.gov/cps/lfcharacteristics.htm#occind.

Canes

Rosen

(1995). Following in her footsteps? Women’s choices of college majors and faculty gender composition. Industrial and Labor Relations Review, 48, 486–504.

Carrell

Page

West

(2010). Sex and science: How professor gender perpetuates the gender gap. The Quarterly Journal of Economics, 125, 1101–1144.

Chambliss

Takacs

(2014). How college works. Cambridge, MA: Harvard University Press.

Chang

Sharkness

Hurtado

Newman

(2014). What matters in college for retaining aspiring scientists and engineers from underrepresented racial groups. Journal of Research in Science Teaching, 51, 555–580.

Chen

(2009). Students who study science, technology, engineering, and mathematics (STEM) in postsecondary education. Washington, DC: National Center for Education Statistics.

10.

Corbett

Hill

St. Rose

(2008). Where the girls are: The facts about gender equity in education. Retrieved from https://www.aauw.org/files/2013/02/Where-the-Girls-Are-The-Facts-About-Gender-Equity-in-Education.pdf

11.

Dee

(2005). A teacher like me: Does race, ethnicity, or gender matter? American Economic Review, 95, 158–165.

12.

Denaro

Reimer

Solanki

Warschauer

(2018). Documenting instructional practices in STEM lecture courses [Data file and code book]. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor].

13.

Ehrenberg

Goldhaber

Brewer

(1995). Do teachers’ race, gender and ethnicity matter? Evidence from the national educational longitudinal study of 1988. Industrial and Labor Relations Review, 48, 547–561.

14.

Erikson

(1968). Identity, youth, and crisis. New York, NY: Norton.

15.

Fairlie

Hoffman

Oreopoulos

(2014). A community college instructor like me: Race and ethnicity interactions in the classroom. American Economic Review, 104, 2567–2591.

16.

Ferrara

(2012). The relationship of teaching style, gender preference, and gender match in single gender and coeducational settings. Advances in Gender and Education, Montgomery Center for Research in Child & Adolescent Development (MCRCAD), 3, 14–27.

17.

Gilmartin

Denson

Bryant

Aschbacher

(2007). Gender ratios in high school departments: The effect of percent female faculty on multiple dimensions of students’ science identities. Journal of Research in Science Teaching, 44, 980–1009.

18.

Grunspan

D. Z.

Eddy

S. L.

Brownell

S. E.

Wiggins

B. L.

Crowe

A. J.

Goodreau

S. M.

(2016). Males under-estimate academic performance of their female peers in undergraduate biology classrooms. PLoS ONE, 11(2). doi:10.1371/journal.pone.0148405

19.

Gutman

Schoon

(2013). The impact of non-cognitive skills on outcomes for young people. London: Institute of Education.

20.

Hoffman

Oreopoulos

(2009). A professor like me: The influence of instructor gender on university achievement. Journal of Human Resources, 44, 479–494.

21.

Hyde

S. J.

Jaffee

(1998). Perspectives from social and feminist psychology. Educational Researcher, 27, 14–16.

22.

Karabenick

S. A.

Urdan

T. C.

(2014). Motivational interventions. Bingley, UK: Emerald Group Publishing.

23.

Lavy

(2004). Do gender stereotypes reduce girls’ human capital outcomes? Evidence from a natural experiment. Journal of Public Economics, 92, 2083–2105.

24.

Lavy

Sand

(2015). On the origins of gender human capital gaps: Short and long term consequences of teachers’ stereotypical biases (NBER Working Paper No. 20909). Cambridge, MA: National Bureau of Economic Research.

25.

London

Rosenthal

Gonzalez

(2011). Using experience sampling methodology to capture the impact of identity, support, and gender rejection on the academic engagement of women. Journal of Social Issues, 67, 510–530.

26.

Marx

Roman

(2002). Female role models: Protecting women’s math test performance. Society for Personality and Social Psychology, 28, 1183–1193.

27.

McIntyre

Lord

Gresky

Ten Eyck

Frye

Bond

(2005). A social impact trend in the effects of role models on alleviating women’s mathematics stereotype threat. Current Research in Social Psychology, 10, 116–136.

28.

Miller

Chamberlin

(2000). Women are teachers, men are professors: A study of student perceptions. Teaching Sociology, 28, 283–298.

29.

National Science Board. (2016). Science and engineering indicators 2016. Arlington, VA: National Science Foundation.

30.

Neumark

Gardecki

(1998). Women helping women? Role model and mentoring effects on female PhD students in economics. Journal of Human Resources, 33, 220–246.

31.

Nixon

Robinson

(1999). The educational attainment of young women: Role model effects of female high school faculty. Demography, 36, 185–194.

32.

Oyserman

(2007). Social identity and self-regulation. In Kruglanski

Higgins

(Eds.), Handbook of social psychology (pp. 432–453). New York, NY: Guilford Press.

33.

Oyserman

(2014). Identity-based motivation: Core processes and intervention examples. In Karabenick

S. A.

Urdan

(Eds.), Motivational interventions (pp. 213–240). Bingley, UK: Emerald Group Publishing.

34.

Rebhorn

Miles

(1999). High-stakes testing: Barrier to gifted girls in mathematics and science? Social Science and Mathematics, 99, 313–319.

35.

Robst

Kell

Russo

(1998). The effect of gender composition of faculty on student retention. Economics of Education Review, 29, 429–439.

36.

Rosenthal

London

Levy

Lobel

(2011). The roles of perceived identity compatibility and social support for women in a single-sex STEM program at a co-educational university. Sex Roles, 65, 725–736.

37.

Rosenthal

Jacobsen

(1968). Pygmalion in the classroom: Teacher expectation and pupils’ intellectual development. New York, NY: Holt, Rinehart and Winston.

38.

Sadker

(1985). Sexism in the classroom. Vocational Education Journal, 60, 30–32.

39.

Schunk

D. H.

(1995). Self-efficacy and education and instruction. In Maddux

J. E.

(Ed.), Self-efficacy, adaptation, and adjustment: Theory, research, and application (pp. 281–303). New York, NY: Plenum Press.

40.

Settles

I. H.

Jellison

W. A.

Pratt-Hyatt

J. S.

(2009). Identification with multiple social groups: The moderating role of identity change over time among women scientists. Journal of Research in Personality, 43, 856–867.

41.

Seymour

Hewitt

(1997). Talking about leaving: Why undergraduates leave the sciences. Boulder, CO: Westview Press.

42.

Starbuck

(2003, April). College teaching styles by gender. Paper presented at the meeting of the Western Social Science Association, Las Vegas, NV.

43.

Warner

(2013). Applied statistics: From bivariate through multivariate techniques. Thousand Oaks, CA: Sage Publications.

44.

Waterman

(1985). Identity in adolescence: Processes and contents. San Francisco, CA: Jossey-Bass.

45.

Wehrwein

Lujan

DiCarlo

(2007). Gender differences in learning style preferences among undergraduate physiology students. Advances in Physiology Education, 31, 153–157.

46.

Wooldridge

. (2002). Econometric analysis of cross section and panel data. Cambridge, MA: The MIT Press.

47.

Zaslow

Hayes

(1986). Sex differences in children’s response to psychosocial stress: Toward a cross-context analysis. In Lamb

Brown

Rogoff

(Eds.), Advances in developmental psychology (Vol. 4, pp. 285–338). Hillsdale, NJ: Lawrence Erlbaum.

48.

Zirkel

(2002). Is there a place for me? Role models and academic identity among White students and students of color. Teachers College Record, 104, 357–376.

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