Gender Differences in High School Students' Decisions to Study Computer Science and Related Fields (Abstract Only)

Author(s):  
Hai Hong ◽  
Jennifer Wang ◽  
Jason Ravitz ◽  
Mo-Yun Lei Fong
2018 ◽  
Author(s):  
Antoine Taly ◽  
Francesco Nitti ◽  
Marc Baaden ◽  
samuela pasquali

<div>We present here an interdisciplinary workshop on the subject of biomolecules offered to undergraduate and high-school students with the aim of boosting their interest toward all areas of science contributing to the study of life. The workshop involves Mathematics, Physics, Chemistry, Computer Science and Biology. Based on our own areas of research, molecular modeling is chosen as central axis as it involves all disciplines. In order to provide a strong biological motivation for the study of the dynamics of biomolecules, the theme of the workshop is the origin of life. </div><div>All sessions are built around active pedagogies, including games, and a final poster presentation.</div>


PLoS ONE ◽  
2013 ◽  
Vol 8 (12) ◽  
pp. e83700 ◽  
Author(s):  
J. Alberto Molina ◽  
J. Ignacio Giménez-Nadal ◽  
José A. Cuesta ◽  
Carlos Gracia-Lazaro ◽  
Yamir Moreno ◽  
...  

2021 ◽  
pp. 147821032110630
Author(s):  
Paul Bruno ◽  
Colleen M Lewis

Little is known about the extent to which expansions of K-12 computer science (CS) have been equitable for students of different racial backgrounds and gender identities. Using longitudinal course-level data from all high schools in California between the 2003–2004 and 2018–2019 school years we find that 79% of high school students in California, including majorities of all racial groups, are enrolled in schools that offer CS, up from 45% in 2003. However, while male and female students are equally likely to attend schools that offer CS courses, CS courses represent a much smaller share of course enrollments for female students than for male students. Non-Asian students enroll in relatively few CS courses, and this is particularly true for Black, Hispanic, and Native American students. Race gaps in CS participation are to a substantial degree explicable in terms of access gaps, but gender gaps in CS participation are not. Different groups of students have access to CS teachers with similar observable qualifications, but CS teachers remain predominantly white and male. Consequently, white and male CS students are much more likely than other students to have same-race or same-gender instructors. Our findings and the implications we draw for practice will be of interest to administrators and policymakers who, over and above needing to ensure equitable access to CS courses for students, need to attend carefully to equity-related course participation and staffing considerations.


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