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Despite increasing demands for skilled workers within the technological domain, there is still a deficit in the number of graduates in computing fields (computer science, information technology, and computer engineering). Understanding the factors that contribute to students’ motivation and persistence is critical to helping educators, administrators, and industry professionals better focus efforts to improve academic outcomes and job placement. This article examines how experiences contribute to a student’s computing identity, which we define by their interest, recognition, sense of belonging, and competence/performance beliefs. In particular, we consider groups underrepresented in these disciplines, women and minoritized racial/ethnic groups (Black/African American and Hispanic/Latinx). To delve into these relationships, a survey of more than 1,600 students in computing fields was conducted at three metropolitan public universities in Florida. Regression was used to elucidate which experiences predict computing identity and how social identification (i.e., as female, Black/African American, and/or Hispanic/Latinx) may interact with these experiences. Our results suggest that several types of experiences positively predict a student’s computing identity, such as mentoring others, having a job, or having friends in computing. Moreover, certain experiences have a different effect on computing identity for female and Hispanic/Latinx students. More specifically, receiving academic advice from teaching assistants was more positive for female students, receiving advice from industry professionals was more negative for Hispanic/Latinx students, and receiving help on classwork from students in their class was more positive for Hispanic/Latinx students. Other experiences, while having the same effect on computing identity across students, were experienced at significantly different rates by females, Black/African American students, and Hispanic/Latinx students. The findings highlight experiential ways in which computing programs can foster computing identity development, particularly for underrepresented and marginalized groups in computing. 

Despite increasing demands for skilled workers within the technological domain, there is still a deficit in the number of graduates in computing fields (computer science, information technology, and computer engineering). Understanding the factors that contribute to students’ motivation and persistence is critical to helping educators, administrators, and industry professionals better focus efforts to improve academic outcomes and job placement. This article examines how experiences contribute to a student’s computing identity, which we define by their interest, recognition, sense of belonging, and competence/performance beliefs. In particular, we consider groups underrepresented in these disciplines, women and minoritized racial/ethnic groups (Black/African American and Hispanic/Latinx). To delve into these relationships, a survey of more than 1,600 students in computing fields was conducted at three metropolitan public universities in Florida. Regression was used to elucidate which experiences predict computing identity and how social identification (i.e., as female, Black/African American, and/or Hispanic/Latinx) may interact with these experiences. Our results suggest that several types of experiences positively predict a student’s computing identity, such as mentoring others, having a job, or having friends in computing. Moreover, certain experiences have a different effect on computing identity for female and Hispanic/Latinx students. More specifically, receiving academic advice from teaching assistants was more positive for female students, receiving advice from industry professionals was more negative for Hispanic/Latinx students, and receiving help on classwork from students in their class was more positive for Hispanic/Latinx students. Other experiences, while having the same effect on computing identity across students, were experienced at significantly different rates by females, Black/African American students, and Hispanic/Latinx students. The findings highlight experiential ways in which computing programs can foster computing identity development, particularly for underrepresented and marginalized groups in computing. 

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. 

Underrepresentation of Black and Hispanic women in computer science is a long-standing problem that looks bleak at every level - undergraduate and graduate. This is prompting scholars to explore reasons for these low participation rates. One framework used to understand participation and persistence in STEM fields is identity. Prior work in computer science education suggest that identity is a strong indicator of persistence in these fields. However, it is hard to understand students’ perception of identity without also under- standing ontological beliefs with regards to a computer scientist. In this study, we explore the nature of a computer scientist. Guided by social identity theory, we designed a study that asked students to describe their definition or ontological belief of what constitutes a computer scientist in contrast to their ability to ascribe a com- puter science identity to self. Leveraging qualitative methods, we interviewed n= 24 women in computer science (Black and Hispanic, undergraduate and graduate students), in order to explore the role their ontological beliefs had on their computer science identity salience. The research questions guiding this work are: (1) How do Black and Hispanic women describe or define computer scientists? (2) What impact does this definition have on Black and Hispanic women’s ability to claim a computing identity? Results suggest that the wide variation in definitions has a negative impact on computer science identity salience. The findings from this work suggest that computing should consider the impacts of the current messaging of what constitutes a computer scientist. 

This study was designed to compare salary implications and employability of students who graduated with a Bachelor of Arts in Computer Science (BACS) – primarily distinguished by the removal of calculus and physics requirements from the traditional computer science curriculum versus those that graduated with a Bachelor of Science in Computer Science (BSCS). Given the numerous studies that identify gateway courses like calculus and physics as impediments to students’ persistence in engineering and computer science AND their impact on women and people of color, the removal of this barrier has incredible potential for broadening participation in computing. One university’s first cohort of BACS graduates (spring 2020) furnished a unique opportunity to compare student’s self-reported employment and salary information to their BSCS peers. The study consisted of institutional data and a survey targeting spring 2020, summer 2020, fall 2020 graduates from computer science, with data from n=134 recent graduates (BA n= 45, BS n=89). Preliminary results indicate there are no statistical significance in enrollment on the basis of gender nor job attainment; however, there is a statistical significance in enrollment on the basis of race/ethnicity and pay. The results of this work could either serve as a cautionary tale for institutions considering similar programs OR it could serve as the basis for a deeper, more critical review of the requirements currently in place in BSCS programs, nationally. Are calculus and physics courses required for prosperity in computing or are they simply a barrier to equity? 

Currently, the computer science community is experiencing a rise in interest in computer science education research (CSER). However, current structures and belief systems within the discipline have largely relegated computer science education researchers to the margins. Computer science education researchers are mainly 'lone-wolf' scholars in their departments that participate in CSER in addition to their more widely 'accepted' computer science research. As such, there has been a resistance to offer doctoral programs in CSER. Florida International University has not only invested inCSER by hiring a CSER tenure-track faculty member, they have also established a School of Computer Science Education and Engineering Education. Despite this investment, one obstacle remains the low visibility and understanding of computer science education research among undergraduate students. This makes establishing are search group of Ph.D. students challenging. In order to combat this obstacle, a four-year program was developed as a dedicated pipeline to the computer science education Ph.D. through a series of research experiences for undergraduates (REU). Summer 2020 consisted of the first cohort of this four year commitment. Given that 2020 was wrought with a series of unprecedented events, this REU was designed and executed virtually. This paper presents the plan, setting, execution, and subsequent evaluation of this virtual REU experience. Student-feedback was overwhelmingly positive; however, as with any endeavor there were many lessons learned. 

Increasingly companies assess a computing candidate's capabilities using technical interviews (TIs). Yet students struggle to code on demand, and there is already an insufficient amount of computing graduates to meet industry needs. Therefore, it is important to understand students' perceptions of TIs, and other professional experiences (e.g., computing jobs). We surveyed 740 undergraduate computing students at three universities to examine their experiences with the hiring process, as well as the impact of professional and cultural experiences (e.g., familial support) on computing identity. We considered the interactions between these experiences and social identity for groups underrepresented in computing - women, Black/African American, and Hispanic/Latinx students. Among other findings, we observed that students that did not have positive experiences with TIs had a reduced computing identity, but that facing discrimination during technical interviews had the opposite effect. Social support may play a role. Having friends in computing bolsters computing identity for Hispanic/Latinx students, as does a supportive home environment for women. Also, freelance computing jobs increase computing identity for Black/African American students. Our findings are intended to raise awareness of the best way for educators to help diverse groups of students to succeed, and to inform them of the experiences that may influence students' engagement, resilience, and computing identity development. 

Although computing occupations have some of the greatest projected growth rates, there remains a deficit of graduates in these fields. The struggle to engage enough students to meet demands is particularly pronounced for groups already underrepresented in computing, specifically, individuals that self-identify as a woman, or as Black, Hispanic/Latinx, or Native American. Prior studies have begun to examine issues surrounding engagement and retention, but more understanding is needed to close the gap, and to broaden participation. In this research, we provide quantitative evidence from the Multiple-Institution Database for Investigating Engineering Longitudinal Development—a longitudinal, multi-institutional database to describe participation trends of marginalized groups in computer science. Using descriptive statistics, we present the enrollment and graduation rates for those situated at the intersection of race/ethnicity and gender between 1987 and 2018. In this work, we observed periods of significant flux for Black men and women, and White women in particular, and consistently low participation of Hispanic/Latinx and Native American men and women, and Asian women. To provide framing for the evident peaks and valleys in participation, we applied historical context analysis to describe the political, economic, and social factors and events that may have impacted each group. These results put a spotlight on populations largely overlooked in statistical work and have the potential to inform educators, administrators, and researchers about how enrollments and graduation rates have changed over time in computing fields. In addition, they offer insight into potential causes for the vicissitudes, to encourage more equal access for all students going forward.