Leading up to the Leadership, Technology, and Gender Summit, my colleague-friend Jennifer Vinopal and I have been collecting sets of recommended readings to help frame the conversations. We tried to find readings that address most of the topics outlined in What are we talking about when we talk about Leadership, Technology and Gender, while also keeping the list to a reasonable length and making sure the readings were accessible to all. It is a great list.
Here are some additional recommended readings that did not make the list for LTG, but which I think are critical to understanding the scope of the challenges involved in tackling the problems of gender and technology. Most of them are paywall, which sucks.*
“Do Female and Male Role Models Who Embody STEM Stereotypes Hinder Women’s Anticipated Success in STEM?” Sapna Cheryan, John Oliver Siy, Marissa Vichayapai, Benjamin J. Drury and Saenam Kim Social Psychological and Personality Science 2011 2: 656 originally published online 15 April 2011 DOI: 10.1177/1948550611405218
Women who have not yet entered science, technology, engineering, and mathematics (STEM) fields underestimate how well they
will perform in those fields (e.g., Correll, 2001; Meece, Parsons, Kaczala, & Goff, 1982). It is commonly assumed that female role models improve women’s beliefs that they can be successful in STEM. The current work tests this assumption. Two experiments varied role model gender and whether role models embody computer science stereotypes. Role model gender had no effect on success beliefs. However, women who interacted with nonstereotypical role models believed they would be more successful in computer science than those who interacted with stereotypical role models. Differences in women’s success beliefs were mediated by their perceived dissimilarity from stereotypical role models. When attempting to convey to women that they can be successful in STEM fields, role model gender may be less important than the extent to which role models embody current STEM stereotypes.
“STEMing the tide: Using ingroup experts to inoculate women’s self-concept in science, technology, engineering, and mathematics (STEM).” Stout, Jane G.; Dasgupta, Nilanjana; Hunsinger, Matthew; McManus, Melissa A.
Journal of Personality and Social Psychology, Vol 100(2), Feb 2011, 255-270. doi: 10.1037/a0021385
Three studies tested a stereotype inoculation model, which proposed that contact with same-sex experts (advanced peers, professionals, professors) in academic environments involving science, technology, engineering, and mathematics (STEM) enhances women’s self-concept in STEM, attitudes toward STEM, and motivation to pursue STEM careers. Two cross-sectional controlled experiments and 1 longitudinal naturalistic study in a calculus class revealed that exposure to female STEM experts promoted positive implicit attitudes and stronger implicit identification with STEM (Studies 1–3), greater self-efficacy in STEM (Study 3), and more effort on STEM tests (Study 1). Studies 2 and 3 suggested that the benefit of seeing same-sex experts is driven by greater subjective identification and connected- ness with these individuals, which in turn predicts enhanced self-efficacy, domain identification, and commitment to pursue STEM careers. Importantly, women’s own self-concept benefited from contact with female experts even though negative stereotypes about their gender and STEM remained active.
“Math–Gender Stereotypes in Elementary School Children” Dario Cvencek, Andrew N. Meltzoff, Anthony G. Greenwald Article first published online: 9 MAR 2011 DOI: 10.1111/j.1467-8624.2010.01529.x
A total of 247 American children between 6 and 10 years of age (126 girls and 121 boys) completed Implicit Association Tests and explicit self-report measures assessing the association of (a) me with male (gender identity), (b) male with math (math–gender stereotype), and (c) me with math (math self-concept). Two findings emerged. First, as early as second grade, the children demonstrated the American cultural stereotype that math is for boys on both implicit and explicit measures. Second, elementary school boys identified with math more strongly than did girls on both implicit and self-report measures. The findings suggest that the math–gender stereotype is acquired early and influences emerging math self-concepts prior to ages at which there are actual differences in math achievement.
“Ambient Belonging: How Stereotypical Cues Impact Gender Participation in Computer Science” Sapna Cheryan,Paul G. Davies, Victoria C. Plaut and Claude M. Steele. Journal of Personality and Social Psychology Vol. 97, No. 6, 1045–1060 DOI: 10.1037/a0016239
People can make decisions to join a group based solely on exposure to that group’s physical environment. Four studies demonstrate that the gender difference in interest in computer science is influenced by exposure to environments associated with computer scientists. In Study 1, simply changing the objects in a computer science classroom from those considered stereotypical of computer science (e.g., Star Trek poster, video games) to objects not considered stereotypical of computer science (e.g., nature poster, phone books) was sufficient to boost female undergraduates’ interest in computer science to the level of their male peers. Further investigation revealed that the stereotypical broadcast a masculine stereotype that discouraged women’s sense of ambient belonging and subsequent interest in the environment (Studies 2, 3, and 4) but had no similar effect on men (Studies 3, 4). This masculine stereotype prevented women’s interest from developing even in environments entirely populated by other women (Study 2). Objects can thus come to broadcast stereotypes of a group, which in turn can deter people who do not identify with these stereotypes from joining that group.
Other great resources include:
Women in Computer Sciences: Closing the Gender Gap in Higher Education from Carnegie Mellon University
Starting in 1995, we have engaged in an interdisciplinary program of research and action in response to this situation. The research effort has been to understand male and female students’ engagement — attachment, persistence, and detachment — with computer science, with a special focus on the gender imbalance in the field. Students in the study have been interviewed once per semester about their family and schooling history, experiences with computing, feelings and attitudes about studying computer science. The goal of the action component has been to devise and effect changes in curriculum, pedagogy and culture that will encourage the broadest possible participation in the computing enterprise.
In part as a result of our efforts, the entering enrollment of women in the undergraduate Computer Science program at Carnegie Mellon has risen from 8% in 1995 to 42% in 2000
This course considers a wide range of issues related to the contemporary and historical use of technology, the development of new technologies, and the cultural representation of technology, including the role women have played in the development of technology and the effect of technological change on the roles of women and ideas of gender. It discusses the social implications of technology and its understanding and deployment in different cultural contexts. It investigates the relationships between technology and identity categories, such as gender, race, class, and sexuality, and examines how technology offers possibilities for new social relations and how to evaluate them.
* If you need access to any of these articles for your personal non-profit, educational use, contact a librarian near you ;-)