2017
DOI: 10.1080/08993408.2017.1376385
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Girls and computer science: experiences, perceptions, and career aspirations

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Cited by 55 publications
(23 citation statements)
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“…Discrepancies in the participation of structured STEM-focused OST programs at eighth grade, selfefficacy beliefs in science and ninth-grade GPA in math, and interest in STEM major between students of different sociodemographic backgrounds were documented in our study. The way that high school girls tended to have a lower science self-efficacy early in high school and interest in STEM major after high school graduation yet a higher ninth-grade GPA in math implies the looming structural and contextual inequity, under which adolescent girls may be less likely to be interested in or aspire to STEM fields (Ashcraft, Eger, & Scott, 2017;Hur, Andrzejewski, & Marghitu, 2017;Xie, Fang, & Shauman, 2015). Prevailing stereotypes regarding the innate math ability, learning experience, and career environment in STEM fields, despite their comparable or even better academic achievement in math early on (Harackiewicz et al, 2014;Sax, 1996) may also play a role.…”
Section: Sociodemographic Differences and Intersectionality Manifesmentioning
confidence: 99%
“…Discrepancies in the participation of structured STEM-focused OST programs at eighth grade, selfefficacy beliefs in science and ninth-grade GPA in math, and interest in STEM major between students of different sociodemographic backgrounds were documented in our study. The way that high school girls tended to have a lower science self-efficacy early in high school and interest in STEM major after high school graduation yet a higher ninth-grade GPA in math implies the looming structural and contextual inequity, under which adolescent girls may be less likely to be interested in or aspire to STEM fields (Ashcraft, Eger, & Scott, 2017;Hur, Andrzejewski, & Marghitu, 2017;Xie, Fang, & Shauman, 2015). Prevailing stereotypes regarding the innate math ability, learning experience, and career environment in STEM fields, despite their comparable or even better academic achievement in math early on (Harackiewicz et al, 2014;Sax, 1996) may also play a role.…”
Section: Sociodemographic Differences and Intersectionality Manifesmentioning
confidence: 99%
“…Research, for instance, indicates that parents encourage boys to engage with computing more than girls (Anderson, Welch, & Harris, 1984). Other studies also found that even girls who voluntarily joined computing camps had very limited knowledge of and experience with computing (Hur, Andrzejewski, & Marghitu, 2017). Both Margolis and Fisher (2003) and Barron (2004) refer to this issue as an “experience gap,” which is directly related to female participation in computing.…”
Section: Discussionmentioning
confidence: 99%
“…At the university level, female students comprise a mere 36% of students majoring in STEMrelated domains around the world (Sey & Hafkin, 2019). Negative stereotyped perceptions of who pursues technical careers and a lack of confidence in girls play a large role in discouraging girls and young women from the pursuit and exploration of computer science and other STEM-related activities (Hur, Andrzejewksi, & Marghitu, 2017). Scholars have also observed a paradoxical trend, noting that "countries with high levels of gender equality have some of the largest STEM gaps in secondary and tertiary education" (Stoet & Geary, 2018, p. 581).…”
Section: E M O G R a P H I C Fa C T O R S A N D D I F F E R I N G Ementioning
confidence: 99%