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Donado, Marjorie Fontalvo – ProQuest LLC, 2022
Universities are reflections of our societies and are tasked with educating the next generation of experts. The computer science (CS) phenomenon, with its high-paying jobs, attracts more students than ever to the CS undergraduate major. One may wonder why women are underrepresented in the CS major if they constitute half of university enrollment…
Descriptors: College Students, Females, Computer Science Education, Majors (Students)
Jinjushang Chen; Lara Perez-Felkner; Chantra Nhien; Shouping Hu; Kristen Erichsen; Yang Li – Research in Higher Education, 2024
Gender disparities persist in postsecondary computing fields, despite improvements in postsecondary equity overall and STEM fields as an aggregate. The entrenchment of this issue requires a comprehensive, longitudinal lens. Building on expectancy-value theory, the present study examines the relationships among students' gender-ability stereotypes,…
Descriptors: STEM Education, Computer Science, Gender Differences, Disproportionate Representation
Maria Chaparro Osman; Maureen Namukasa; Cherrise Ficke; Isabella Piasecki; T. J. O'Connor; Meredith Carroll – Journal of Cybersecurity Education, Research and Practice, 2023
A robust cybersecurity workforce is critical for protection against a range of malicious attacks. However, it has been noted that there are many vacancies and a shortage of individuals entering the cybersecurity workforce. This workforce shortage has partly been attributed to the lack of diversity in the cybersecurity field, with women, African…
Descriptors: Diversity (Institutional), Labor Force, Computer Security, Disproportionate Representation
Lunn, Stephanie; Ross, Monique; Hazari, Zahra; Weiss, Mark Allen; Georgiopoulos, Michael; Christensen, Kenneth – ACM Transactions on Computing Education, 2022
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,…
Descriptors: Educational Experience, Prediction, Identification (Psychology), Computer Science Education
Jue Wu; David H. Uttal – Science Education, 2024
The gender imbalance in computer science (CS) is one of the most challenging issues in American education. CS is the only science, technology, engineering, and mathematics (STEM) field in which women's representation has steadily declined in recent decades. In this study, we explored one potential approach that could be effective in increasing…
Descriptors: Private Colleges, Computer Science, Females, STEM Education
Yates, Julia; Plagnol, Anke C. – Education and Information Technologies, 2022
The under-representation of women in computer science education courses is well documented, and the social and commercial need to address this is widely recognised. Previous literature offers some explanation for this gender imbalance, but there has been limited qualitative data to provide an in-depth understanding of existing quantitative…
Descriptors: Computer Science Education, Disproportionate Representation, Womens Education, Females
Convertino, Christina – Gender and Education, 2020
Drawing on feminist post-structural perspectives, this article shows how the dominant discourses of underrepresentation and gender difference that characterize gender inequality in computer science (CS) create subject positions, which simultaneously mark women as highly invisible and visible. Narrative accounts from qualitative interviews and…
Descriptors: Disproportionate Representation, Feminism, Gender Discrimination, Computer Science Education
Du, Jie; Wimmer, Hayden – Information Systems Education Journal, 2019
Computer programmers in the U.S. labor force are facing a shortage. Focusing on recruiting females has the potential to address this shortage. Computing is a male dominated field which provides an opportunity to recruit the other 50% of the population, females, to fill the open positions. This work studies gender differences in computer…
Descriptors: Programming, Females, Gender Differences, Disproportionate Representation
Innocent, Willy A.; Kipene, Visent Tisima – International Journal of Education and Development using Information and Communication Technology, 2022
Information and communication technology (ICT) is regarded as the key building block for accelerating development in the contemporary world. The rate of female integration in the ICT area continues to be low, despite the tremendous growth of science and technology. Using Mbeya University of Science and Technology as a case study, this study…
Descriptors: Student Attitudes, Females, Foreign Countries, Information Technology
Change in Order Not to Change: Ultraorthodox Hasidic Women's Experience in Studying Computer Science
Kolikant, Y. Ben-David; Genut, S. – Computer Science Education, 2023
Background and Context: In line with interest in recruiting underrepresented groups to CS studies, our study dealt with Israeli Hasidic young women who successfully studied CS at an academic institute. Objective: We investigated what factors governed Hasidic young women's decision to enrol in a CS program and shaped their studying experience.…
Descriptors: Computer Science Education, Womens Education, Females, Jews
Sax, Linda J.; Newhouse, Kaitlin N. S.; Goode, Joanna; Nakajima, Tomoko M.; Skorodinsky, Max; Sendowski, Michelle – ACM Transactions on Computing Education, 2022
The Advanced Placement Computer Science Principles (APCSP) course was introduced in 2016 to address long-standing gender and racial/ethnic disparities in the United States among students taking Advanced Placement Computer Science (APCS) in high school, as well as among those who pursued computing majors in college. Although APCSP has drawn a more…
Descriptors: Advanced Placement Programs, Computer Science Education, Equal Education, High School Students
Wanzer, Dana Linnell; McKlin, Tom; Freeman, Jason; Magerko, Brian; Lee, Taneisha – Computer Science Education, 2020
Background and Context: EarSketch was developed as a program to foster persistence in computer science with diverse student populations. Objective: To test the effectiveness of EarSketch in promoting intentions to persist, particularly among female students and under-represented minority students. Method: Meta-analyses, structural equation…
Descriptors: Intention, Student Participation, Persistence, Computer Science Education
Rodriguez, Sarah L.; Lehman, Kathleen – Computer Science Education, 2017
This theoretical paper explores the need for enhanced, intersectional computing identity theory for the purpose of developing a diverse group of computer scientists for the future. Greater theoretical understanding of the identity formation process specifically for computing is needed in order to understand how students come to understand…
Descriptors: Computer Science Education, Self Concept, Professional Identity, Interdisciplinary Approach
Charleston, LaVar J.; George, Phillis L.; Jackson, Jerlando F. L.; Berhanu, Jonathan; Amechi, Mauriell H. – Journal of Diversity in Higher Education, 2014
Women in the United States have long been underrepresented in computing science disciplines across college campuses and in industry alike (Hanson, 2004; Jackson & Charleston, 2012). This disparity is exacerbated when African American women are scrutinized. Additionally, prior research (e.g., Hanson, 2004; Jackson & Charleston, 2012;…
Descriptors: STEM Education, Disproportionate Representation, Computer Science, Computer Science Education
Shah, Jaymeen R.; Lee, Hsun-Ming – International Journal of Web-Based Learning and Teaching Technologies, 2015
During the next decade, enrollment growth in Information Systems (IS) related majors is unlikely to meet the predicted demand for qualified IS graduates. Gender imbalance in the IS related program makes the situation worse as enrollment and retention of women in the IS major has been proportionately low compared to male. In recent years, majority…
Descriptors: Information Systems, Computer Science Education, Females, Social Media
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