Predicting Women's Persistence in Computer Science- and Technology-Related Majors from High School to College
Predicting Women's Persistence in Computer Science- and Technology-Related Majors from High School to College
复制标题
预测女性从高中到大学计算机科学技术相关专业的坚持程度
DOI:
10.1145/3343195
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发表时间:
2020
影响因子:
2.4
通讯作者:
Kaminsky, Alexis
中科院分区:
文献类型:
--
作者:
Weston, Timothy J.;Dubow, Wendy M.;Kaminsky, Alexis
While demand for computer science and information technology skills grows, the proportion of women entering computer science (CS) fields has declined. One critical juncture is the transition from high school to college. In our study, we examined factors predicting college persistence in computer science- and technology-related majors from data collected from female high school students. We fielded a survey that asked about students’ interest and confidence in computing as well as their intentions to learn programming, game design, or invent new technology. The survey also asked about perceived social support from friends and family for pursuing computing as well as experiences with computing, including the CS Advanced Placement (AP) exam, out-of-school time activities such as clubs, and internships. Multinomial regression was used to predict persistence in computing and tech majors in college. Programming during high school, taking the CS Advanced Placement exam, and participation in the Aspirations awards program were the best predictors of persistence three years after the high school survey in both CS and other technology-related majors. Participation in tech-related work, internships, or after-school programs was negatively associated with persistence, and involvement with computing sub-domains of game design and inventing new applications were not associated with persistence. Our results suggest that efforts to broaden participation in computing should emphasize education in computer programming.
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影响因子:
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通讯作者:
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DOI:
--
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期刊:
DATB
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2017
期刊:
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通讯作者:
Claudia Szabo
DOI:
10.1145/3017680.3017776
发表时间:
2017
期刊:
Proceedings of the 2017 ACM SIGCSE Technical Symposium on Computer Science Education
影响因子:
--
作者:
Joanna Weidler;W. Dubow;Alexis Kaminsky
通讯作者:
Alexis Kaminsky