Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 1 |
Since 2016 (last 10 years) | 5 |
Descriptor
Gender Differences | 4 |
Computer Science Education | 3 |
Females | 3 |
Programming | 3 |
Stereotypes | 3 |
Student Attitudes | 3 |
Attitude Measures | 2 |
Computer Science | 2 |
Foreign Countries | 2 |
Middle School Students | 2 |
Sex Stereotypes | 2 |
More ▼ |
Source
Computer Science Education | 5 |
Author
Allan, Vicki | 1 |
Blaney, Jennifer M. | 1 |
Bälter, Olle | 1 |
Clarke-Midura, Jody | 1 |
Pantic, Katarina | 1 |
Poole, Frederick | 1 |
Roller, Jared | 1 |
Stout, Jane G. | 1 |
Svedin, Maria | 1 |
Varma, Keisha | 1 |
Wong, Billy | 1 |
More ▼ |
Publication Type
Journal Articles | 5 |
Reports - Research | 5 |
Tests/Questionnaires | 1 |
Education Level
Junior High Schools | 2 |
Middle Schools | 2 |
Secondary Education | 2 |
Elementary Education | 1 |
Higher Education | 1 |
Postsecondary Education | 1 |
Audience
Laws, Policies, & Programs
Assessments and Surveys
Draw a Person Test | 1 |
What Works Clearinghouse Rating
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
Wong, Billy – Computer Science Education, 2017
Computers and information technology are fast becoming a part of young people's everyday life. However, there remains a difference between the majority who can use computers and the minority who are computer scientists or professionals. Drawing on 32 semi-structured interviews with digitally skilled young people (aged 13-19), we explore their…
Descriptors: Technological Literacy, Semi Structured Interviews, Adolescents, Attitude Measures
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