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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
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Lyon, Louise Ann; Green, Emily – Computer Science Education, 2020
Background and Context: Non-traditional training grounds such as coding boot camps that attract a higher proportion of women are important sites for understanding how to broaden participation in computing. Objective: This work aims to help us better understand the women choosing boot camps and their pathways through these camps and into the…
Descriptors: Coding, Females, Nontraditional Education, Computer Science Education
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Dahn, Maggie; DeLiema, David – Computer Science Education, 2020
Background and Context: Women are underrepresented in the field of computer science, a trend that in part can be traced to girls' early experiences with the discipline. Objective: Our aim is to show how three girls who became strong coders talked about their debugging practice at the intersection of problem solving, emotion, and identity. Method:…
Descriptors: Psychological Patterns, Problem Solving, Identification (Psychology), Females
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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
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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
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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
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Mason, Raina; Cooper, Graham – Computer Science Education, 2013
This paper reports on a series of introductory programming workshops, initially targeting female high school students, which utilised Lego Mindstorms robots. Cognitive load theory (CLT) was applied to the instructional design of the workshops, and a controlled experiment was also conducted investigating aspects of the interface. Results indicated…
Descriptors: Programming, Introductory Courses, Cognitive Processes, Difficulty Level
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Liebenberg, Janet; Mentz, Elsa; Breed, Betty – Computer Science Education, 2012
This paper reports on a qualitative study that examined how pair programming shapes the experience of secondary school girls taking IT as a subject, with respect to their enjoyment of programming and the subject itself. The study involved six Grade 11 girls who were doing solo programming in Grade 10 and pair programming in their following Grade.…
Descriptors: Foreign Countries, Females, Information Technology, Student Attitudes