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Despite the increasing number of women receiving bachelor’s degrees in computing (i.e., Computer Science, Computer Engineering, Information Technology, etc.), a closer look reveals that the percentage of Black women in computing has significantly dropped in recent years, highlighting the underrepresentation of Black women and its negative impact on broadening participation in the field of computing. The literature reveals that several K-16 interventions have been designed to increase the representation of Black women and girls in computing. Despite these best efforts, the needle seems to have barely moved in increasing the representation or the retention of Black women in computing. Instead, the primary goals have been to recruit and retain women in the CS pipeline using gender-focused efforts intended to increase the number of women who also identify as members of racialized groups. However, these gender-focused efforts have fallen short of increasing the number of Black women in computing because they fail to acknowledge or appreciate how intersectionality (the overlapping social constructs of gender, race, ethnicity, class, etc.) has shaped the lived experiences of Black women navigating the computing pipeline. Without honest dialogue about how power operates in the field of computing, the push for racial equality and social justice in CS education remains an elusive goal. Leveraging intersectionality as a critical framework to address systemic oppression (i.e., racism, gender discrimination, power, and privilege), we interview 24 Black women in different phases of the computing pipeline about their experiences navigating the field of computing. An intersectional analysis of Black women’s experiences reveals that CS education consists of saturated sites of violence in which interconnected systems of power converge to enact oppression. Findings reveal three primary saturated sites of violence within CS education: (1) traditional K-12 classrooms; (2) predominantly White institutions; and (3) internships as supplementary learning experiences. We conclude the article with implications for how the field of CS education can begin to address racial inequality that negatively impacts Black girls and women, thus contributing to a more equitable and socially just field of study that benefits all students.
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The Intersectional Experiences of Black Women in Computing
Efforts to broaden participation in computing have led to gender-focused interventions intended to increase the number of women in the field of computing. However, such efforts have failed to significantly increase the percentage of Black women in computing. For example, only 1% of the 28,884 bachelor\textquotesingle s degrees in computing were awarded to Black women in 2018. Moreover, too few empirical studies have intentionally explored the lived experiences of Black women, an often overlooked and understudied population in the computing ecosystem. In this paper, we introduce intersectionality - the complex overlap of socially constructed identities such as race, gender, class, sexuality, etc. - as a theoretical framework and springboard for exploring the lived experiences of Black women in computing. We interview 14 Black women in various stages of the computing ecosystem (undergraduate students, graduate students and early career professionals) to understand how intersectionality influences their ability to persist in computing. Preliminary findings from the analysis of the 14 interviews provides insights into how the interlocking systems of oppression (i.e., gendered racism) play out in computing education and negatively impact the recruitment and retention of Black women in the field of computing.
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- PAR ID:
- 10213070
- Editor(s):
- Zhang & Sherriff
- Publisher / Repository:
- ACM
- Date Published:
- Journal Name:
- Proceedings for the 51st Technical Symposium on Computer Science Education
- Page Range / eLocation ID:
- 199 to 205
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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- Free Publicly Accessible Full Text
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Accepted Manuscript1.0
- Conference Paper:
- https://doi.org/10.1145/3328778.3366873
