Broadening Participation in Computing: Examining Experiences of Girls of Color

In order to enhance participation in computer science for girls of color, this study examines the outcomes of a rigorous out-of-school culturally relevant computer science intervention designed to engage underrepresented students in computing. Findings demonstrated that within-race gender differences exist in early interest in computing. Female students of color demonstrated significantly lower engagement and interest in computing, suggesting that being a member of a marginalized gender group plays a unique role and has a multiplying (negative) effect. Further, there were still significant gender differences in computing engagement after participation in one summer of the computer science intervention. Promising outcomes were revealed among a group of students who chose to enroll in the optional Advanced Placement CS A preparatory course; there were no gender differences in enrollment and completion of the course. In examining longitudinal outcomes, gender is a significant predictor of majoring in computer science in college, with male students much more likely to major in computer science than female students. These findings have important implications for addressing the gender gap in computing, including understanding how the intersection of race and gender presents unique barriers and challenges for women of color in computing, and that interventions to broaden participation in computing must address the unique experiences of women of color.

[1]  K. Crenshaw Mapping the margins: intersectionality, identity politics, and violence against women of color , 1991 .

[2]  C J FOLEY,et al.  Report to the nation. , 1954, Hospitals.

[3]  Lorelle L. Espinosa,et al.  Inside the Double Bind: A Synthesis of Empirical Research on Undergraduate and Graduate Women of Color in Science, Technology, Engineering, and Mathematics , 2011 .

[4]  P. Essed Understanding everyday racism : an interdisciplinary theory , 1991 .

[5]  Allison Scott,et al.  Path Not Found: Disparities in Access to Computer Science Courses in California High Schools. , 2015 .

[6]  C. Perry Science, Technology, Engineering and Mathematics (STEM) , 2012 .

[7]  C. Steele,et al.  Stereotype threat and the intellectual test performance of African Americans. , 1995, Journal of personality and social psychology.

[8]  M. Hilbert,et al.  Digital Gender Divide or Technologically Empowered Women in Developing Countries? A Typical Case of Lies, Damned Lies, and Statistics , 2011 .

[9]  Vashti Galpin,et al.  Women in computing around the world , 2002, SGCS.

[10]  B. Major,et al.  The social psychology of stigma. , 2005, Annual review of psychology.

[11]  Sophia Huyer,et al.  Women and gender in ict statistics and indicators for development , 2008 .

[12]  C. Steele,et al.  Ambient belonging: how stereotypical cues impact gender participation in computer science. , 2009, Journal of personality and social psychology.

[13]  Jane Stout,et al.  STEMing the tide: using ingroup experts to inoculate women's self-concept in science, technology, engineering, and mathematics (STEM). , 2011, Journal of personality and social psychology.

[14]  Gloria J. Ladson-Billings,et al.  Toward a Critical Race Theory of Education , 1995, Teachers College Record: The Voice of Scholarship in Education.

[15]  J. G. Huckenpohler Survey of Graduate Students and Postdoctorates in Science and Engineering: Fall 1992. Technical Notes and Data Summaries. , 1994 .

[16]  Gordon Brackstone,et al.  ECONOMIC COMMISSION FOR LATIN AMERICA AND THE CARIBBEAN - ECLAC , 2003 .

[17]  Joanna Goode,et al.  Exploring Computer Science: A Case Study of School Reform , 2011, TOCE.