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Zdawczyk, Christina; Varma, Keisha – Computer Science Education, 2023
Background and Context: A continued gender disparity has driven a need for effective interventions for recruiting girls to computer science. Prior research has demonstrated that middle school girls hold beliefs and attitudes that keep them from learning computer science, which can be mitigated through classroom design. Objective: This study…
Descriptors: Females, Computer Science Education, Gender Differences, Student Attitudes
Pantic, Katarina; Clarke-Midura, Jody; Poole, Frederick; Roller, Jared; Allan, Vicki – Computer Science Education, 2018
Stereotypes people hold about computer scientists contribute to underrepresentation in computer science. Perceptions of computer scientists have historically been linked to males and a "nerd" culture, which can lead to lack of interest, particularly for girls. This article presents two studies conducted with two groups of middle…
Descriptors: Stereotypes, Computer Science, Disproportionate Representation, Gender Differences
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
Svedin, Maria; Bälter, Olle – Computer Science Education, 2016
The purpose of the present study was to investigate if we could improve retention by redesigning an online programming course from a gender perspective, while maintaining the focus on preferable and sustainable learning approaches. The study builds on results from an earlier study that investigated the relationship between approaches to learning…
Descriptors: Online Courses, Programming, Computer Science Education, Gender Differences
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
Doube, Wendy; Lang, Catherine – Computer Science Education, 2012
A multimedia university programme with relatively equal numbers of male and female students in elective programming subjects provided a rare opportunity to investigate female motivation to study and pursue computer programming in a career. The MSLQ was used to survey 85 participants. In common with research into deterrence of females from STEM…
Descriptors: Foreign Countries, Sex Stereotypes, Females, Self Efficacy