An official website of the United States government
Pathways to the professoriate for women in computer science are narrow and fraught with barriers. These obstacles are further exacerbated at the intersections of race and gender. Black women (who make up 6.4% of the U.S. population) comprise only 1.1% of computer science undergraduate degrees and < 1% of computer science PhDs. Despite these paltry numbers, one computer science PhD program may have found the combination of factors necessary to widen the pathway by engaging in strategic recruitment, developing communities of practice, and providing strong mentorship for women of color in computer science. Guided primarily by intersectionality theory, social identity theory, and landscapes of practice, this single case study explored the experiences of Black women in pursuit of their doctorate in computer science at a predominantly white institution to answer the research questions: (1) How do Black women graduate students in computer science describe their computer science identity? (2) How do landscapes of practice influence computer science identity formation or salience of Black women in a computer science graduate program? Thematic analysis of this case revealed three common themes within their experiences: moments of impact, boundary spanning, and community residence. These themes, all of which revolve around ideas of community and support, are critical to understanding a key discovery of this study: why a sense of belonging, rather than identity salience (as much research suggests), was the best indicator of the women’s persistence.
more »
« less
Transfer Student Receptivity in Patriarchal STEM Contexts: Evidence of Gendered Transfer Student Stigma in Computer Science From a Mixed Methods Study
Research Questions: While community college transfer (i.e., upward transfer) represents an important mechanism for advancing equity across STEM fields, existing studies of gender and women’s participation within computer science have largely excluded the perspectives of upward transfer students. We address this gap in the literature by exploring transfer receptivity and gender discrimination within computer science, guided by the following questions: (1) How do upward transfer computer science students report their receptivity experiences, and how might this differ by gender? (2) How do upward transfer computer science students make meaning of receptivity experiences, and how might that meaning making be shaped by gender? Methods: We use a sequential mixed methods design, relying on longitudinal survey and interview data from upward transfer computer science majors, collected throughout students’ first year at the receiving university. Results: Findings reveal that, relative to men, upward transfer women report greater experiences of transfer stigma and challenges accessing resources at the receiving university. Qualitative findings document additional nuances in how upward transfer students—especially women—describe resilience as they navigate the university campus, encounter navigation challenges at the university, and make meaning of various manifestations of transfer stigma on campus. Contributions: In addition to implications for research and theory, we discuss what universities can do to foster a more receptive environment for upward transfer women. Specific recommendations focus on ensuring that spaces for women in computing are inclusive of transfer students and, likewise, creating supportive transfer cohort communities that are inclusive of women.
more »
« less
- PAR ID:
- 10484271
- Publisher / Repository:
- SAGE Publications
- Date Published:
- Journal Name:
- Community College Review
- Volume:
- 53
- Issue:
- 1
- ISSN:
- 0091-5521
- Format(s):
- Medium: X Size: p. 28-60
- Size(s):
- p. 28-60
- Sponsoring Org:
- National Science Foundation
More Like this
-
-
Transfer stigma refers to a type of stigma associated with students’ transfer status and/or their community college background. It plays a significant role in post-transfer adjustment and may negatively impact post-transfer outcomes such as retention and obtaining a baccalaureate degree. This study focused on quantitatively measuring transfer stigma among transfer students attending a four-year institution. Drawing from previous studies, we developed a 13-item transfer stigma measure and included it in a transfer student survey. The survey data was collected from 450 current transfer students at a public, flagship four-year university in Louisiana. Through an exploratory factor analysis and a confirmatory factor analysis, we revealed a four-factor structure of transfer stigma measures: internalized self-stigma, perceptions about community colleges, lack of support, and perceived judgment. Subsequent statistical analyses examined group differences in the degree of transfer stigma across various transfer student subgroups defined by transfer type, gender, race/ethnicity, age, and major.more » « less
-
PurposeSupporting community college transfer students represents a critical strategy for broadening participation in STEM. In addition to being a racially diverse group, students who pursue STEM degrees by way of community college report frequent interests in graduate study and academic careers. Thus, supporting and expanding transfer students’ PhD interests can help to diversify the STEM professoriate. This study aims to identify the experiences that predict PhD interests among students who transferred into the computer science major from a community college. Design/methodology/approachRelying on longitudinal survey data from over 150 community college transfer students throughout their first year at their receiving four-year university, we used regression analysis to identify the post-transfer college experiences that predict early interest in PhDs. FindingsWe found that receiving information about PhDs from a professor strongly predicted PhD interest among transfer students. Relationships with other variables indicate that the provision of information about graduate school was more likely to occur for students who participated in undergraduate research experiences than for those participating in internships. Descriptive data document inequities in who has access to these types of experiences. Originality/valueThis paper provides new insight into how STEM departments can develop targeted efforts to ensure that information about PhD training is equitably available to all transfer students. Working to ensure that faculty equitably communicate with students about PhD opportunities may go a long way in countering potential deterrents among transfer students who may be interested in such pathways.more » « less
-
Bolger, Molly S (Ed.)Recent efforts to make undergraduate biology more inclusive include developing content that explores how human values and priorities impact science, and previous work documents how instructors value an “ideologically aware” biology curriculum that highlights these themes. Here, we surveyed a national sample of undergraduate students in biology classes to explore student perceptions of Ideological Awareness via a mixed-methods investigation. Through quantitative analyses, we found that women students, transgender or gender nonconforming students, and students majoring in biology or another science field were more likely to support the inclusion of Ideological Awareness in the biology classroom. We used expectancy value theory to guide our qualitative interpretations of student survey responses. Specifically, students’ expectancy of success and the intrinsic value they attach to ideologically aware content influenced their overall acceptance and advocacy for its integration into the curriculum. Students reported valuing Ideological Awareness because it can increase awareness and decrease biases. The most frequently cited cost was the potential for Ideological Awareness to elicit negative emotions. We compared results with similar or identical questions on a national survey distributed to biology instructors, which showed general alignment between students and instructors. These results support the incorporation of Ideological Awareness in biology education, emphasizing the need for more research on the implementation of inclusive content to address potential challenges.more » « less
-
Despite efforts to attract and retain more students in engineering and computer science — particularly women and students from underrepresented groups — diversity within these educational programs and the technical workforce remains stubbornly low. Research shows that undergraduate retention, persistence, and success in college is affected by several factors, including sense of belonging, task value, positive student-faculty interactions, school connectedness, and student engagement [1], [2]. Kuh [1] found that improvement in persistence, performance, and graduation for students in college were correlated to students’ level of participation in particular activities known as high impact educational practices (HIEP). HIEP include, among others, culminating experiences, learning communities, service learning, study abroad, and undergraduate research; Kuh [1] concluded that these activities may be effective at promoting overall student success. Kuh [1] and others [3] further hypothesized that participation in HIEP may especially benefit students from non-majority groups. Whether and how engineering and computer science students benefit from participating in HIEP and whether students from non-majority groups have access to HIEP activities, however, remain as questions to investigate. In this project, we examine engineering and computer science student participation in HIEP at two public land grant institutions. In this study, we seek to understand how and why students participate in HIEP and how participation affects their persistence and success in engineering and computer science majors. Set within the rural, public land grant university context, this study conceptualizes diversity in a broad sense and includes women, members of underrepresented racial and ethnic groups, first generation college students, adult learners, and nontraditional student as groups contributing to the diversity of academic programs and the technical workforce.more » « less
