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Amoudi, Ghada; Tbaishat, Dina – Education and Information Technologies, 2023
Social network analysis involves delicate and sophisticated mathematical concepts which are abstract and challenging to acquire by traditional methods. Many studies show that female students perform poorly in computer science-related courses compared to male students. To address these issues, this research investigates the impact of employing a…
Descriptors: Computer Science, Graduate Students, Outcomes of Education, Educational Technology
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
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
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
Jung, Laura; Clark, Ulku; Patterson, Laurie; Pence, Toni – Information Systems Education Journal, 2017
Technology makes up our daily lives and is a part of everything we do. The tech job market is expanding with more and more jobs needing to be filled by those with the necessary qualifications. Students are realizing the vast opportunities a career in technology can offer them and many are making the conscience decision to major in a technical…
Descriptors: Gender Differences, Equal Education, Majors (Students), Females
Clarke-Midura, Jody; Sun, Chongning; Pantic, Katarina; Poole, Frederick J.; Allan, Vicki – ACM Transactions on Computing Education, 2019
Our work is situated in research on Computer Science (CS) learning in informal learning environments and literature on the factors that influence girls to enter CS. In this article, we outline design choices around the creation of a summer programming camp for middle school youth. In addition, we describe a near-peer mentoring model we used that…
Descriptors: Computer Science Education, Educational Environment, Females, Middle School Students
Pon-Barry, Heather; Packard, Becky Wai-Ling; St. John, Audrey – Computer Science Education, 2017
A dilemma within computer science departments is developing sustainable ways to expand capacity within introductory computer science courses while remaining committed to inclusive practices. Training near-peer mentors for peer code review is one solution. This paper describes the preparation of near-peer mentors for their role, with a focus on…
Descriptors: Computer Science Education, Mentors, Peer Teaching, Feedback (Response)
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
Stout, Jane G.; Blaney, Jennifer M. – Computer Science Education, 2017
Research suggests growth mindset, or the belief that knowledge is acquired through effort, may enhance women's sense of belonging in male-dominated disciplines, like computing. However, other research indicates women who spend a great deal of time and energy in technical fields experience a low sense of belonging. The current study assessed the…
Descriptors: Females, Sex Stereotypes, Attitude Measures, Student Attitudes
Martincic, Cynthia J.; Bhatnagar, Neelima – Information Systems Education Journal, 2012
Controversy and fanfare accompanied the announcement in 2010 by Mattel, Inc. of the Barbie® doll's 126th career--computer engineer. Even though women have been and still are in a minority in the information technology (IT) and computer science (CS) fields, enough women voted for the computer engineer as the next career for Barbie® on Mattel's…
Descriptors: Computer Science, Computer Science Education, Engineering Education, Information Technology
Hodges, Darin; Corley, Ken – Information Systems Education Journal, 2017
A concern among many universities, this study reflects and continues research on the changing attitude and intent of selecting a Computer Information Systems major. Focusing on the gender gap for selection of major for women in this field, studies indicate instrumental beliefs and subjective norms can influence behavior and indicate how selection…
Descriptors: Females, Computer Science Education, Information Science Education, Student Attitudes
Beyer, Sylvia – Computer Science Education, 2014
This study addresses why women are underrepresented in Computer Science (CS). Data from 1319 American first-year college students (872 female and 447 male) indicate that gender differences in computer self-efficacy, stereotypes, interests, values, interpersonal orientation, and personality exist. If students had had a positive experience in their…
Descriptors: Computer Science Education, Females, Womens Education, Disproportionate Representation
Lang, Catherine; Fisher, Julie; Craig, Annemieke; Forgasz, Helen – Computer Science Education, 2015
This article presents a reflective analysis of an outreach programme called the Digital Divas Club. This curriculum-based programme was delivered in Australian schools with the aim of stimulating junior and middle school girls' interest in computing courses and careers. We believed that we had developed a strong intervention programme based on…
Descriptors: Outreach Programs, Computer Science, Females, Foreign Countries
Gerhardt, Jill; Olan, Michael – Information Systems Education Journal, 2010
This article describes our experience with peer tutoring in introductory programming courses. This tutoring concept was one of the integral support services out of five student services, which were part of a National Science Foundation Grant, designed to improve education, increase retention, improve professional development and employability, and…
Descriptors: Peer Teaching, Tutoring, Programming, Introductory Courses
Sackrowitz, Marian – 1995
In response to recent data from the Department of Education indicating that the number of women earning computer science undergraduate degrees has declined sharply in recent years, a study was conducted to determine gender bias in introductory computer classes. Questionnaires were distributed to students in two classes at Rutgers University and…
Descriptors: Achievement Rating, College Students, Comparative Analysis, Computer Attitudes
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