Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 1 |
| Since 2017 (last 10 years) | 1 |
| Since 2007 (last 20 years) | 1 |
Descriptor
| College Students | 1 |
| Computer Science | 1 |
| Disproportionate… | 1 |
| Females | 1 |
| Gender Bias | 1 |
| Gender Issues | 1 |
| Groups | 1 |
| Learner Engagement | 1 |
| Private Colleges | 1 |
| STEM Careers | 1 |
| STEM Education | 1 |
| More ▼ | |
Source
| Science Education | 1 |
Author
| David H. Uttal | 1 |
| Jue Wu | 1 |
Publication Type
| Journal Articles | 1 |
| Reports - Research | 1 |
| Tests/Questionnaires | 1 |
Education Level
| Higher Education | 1 |
| Postsecondary Education | 1 |
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewed
Direct linkJue 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
