The Intersection of Being Black and Being a Woman: Examining the Effect of Social Computing Relationships on Computer Science Career Choice

Autor/inn/en	Ross, Monique; Hazari, Zahra; Sonnert, Gerhard; Sadler, Philip
Titel	The Intersection of Being Black and Being a Woman: Examining the Effect of Social Computing Relationships on Computer Science Career Choice
Quelle	In: ACM Transactions on Computing Education, 20 (2020) 2, Artikel 9 (15 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1946-6226
Schlagwörter	Computer Science; Career Choice; Females; Social Influences; Computer Science Education; Introductory Courses; Young Adults; African American Students; Occupational Aspiration; Gender Differences; Racial Differences; Context Effect; Undergraduate Students; Friendship; Family Environment + Suchen Sie Ihr Suchwort? Informatik; Weibliches Geschlecht; Sozialer Einfluss; Computer science lessons; Informatikunterricht; Einführungskurs; Young adult; Junger Erwachsener; African Americans; Student; Students; Afroamerikaner; Schüler; Schülerin; Studentin; Berufsneigung; Berufsziel; Geschlechterkonflikt; Rassenunterschied; Freundschaft; Familienmilieu
Abstract	Computer science (CS) has been identified as one of the fastest-growing professions, with demand for CS professionals far outpacing the supply of CS graduates. The necessity for a trained CS workforce has compelled industry and academia to evaluate strategies for broadening participation in CS. The current literature in CS education emphasizes the importance of social relationships and supports for individuals from underrepresented groups. Unfortunately, this literature has largely been limited to either the exploration of issues of women or that of underrepresented racial/ethnic groups. These limited views generalize characteristics of specific underrepresented groups without considering intersections between these groups. This quantitative study (n = 3,206) addressed that shortcoming by leveraging inferential statistical methods to examine (i) the similarities and differences between the social CS-related experiences of Black women, Black men, and non-Black women in the United States; (ii) the relationship between these experiences and CS career choices; and (iii) the activities during which significant social experiences might occur. The results indicate that Black women's social experiences are often different from the experiences of both Black men and non-Black women. In particular, both Black men and non-Black women had more CS friends than Black women, whereas having these friends was more significant for the CS career choice for Black women. Introductions to CS in school, before college, were negatively related to career choice for all groups, whereas home support was positive for both Black women and men. This work suggests that considering intersectionality is important to understanding the needs of different individuals, as well as the importance of social supports for persistence in CS. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01