Learn More
A lthough many computer professionals believe that inherent or deeply ingrained gender differences make women less suited to the study and practice of computer science [5, 9], the results reported here demonstrate that female underrepresentation in computer science could be avoided. Women can and do succeed in computer science (CS) when conditions do not(More)
Women's under-representation in academic computer science is described for the U.S. and internationally. Conditions that contribute to this situation are indentified, and motivations for increasing women's participation in computer science are discussed. According to recent research in the U.S., effective interventions at the undergraduate level include:(More)
This paper recommends methods for increasing female participation in undergraduate computer science. The recommendations are based on recent and on-going research into the gender gap in computer science and related disciplines They are intended to work in tandem with the Computing Research Association's recommendations for graduate programs (see [18] in(More)
Common departmental characteristics and practices in computer science and biology/life science are compared for 46 departments at 23 Virginia colleges and universities. The goal of this preliminary investigation is to provide additional evidence on how departmental factors can affect the retention of female students.
Departmental attrition data from one state show that the difference between male and female rates of undergraduate attrition from computer science varies by institution. This analysis suggests that departmental factors are important in attrition from CS. Some CS departments inhibit female persistence at the undergraduate level while other departments(More)
An effective workshop has been developed for promoting a positive impact on high school teachers' recruitment of students, particularly women and minority students, into their CS classes. All past workshop attendees indicate they now are actively try to recruit girls and minority students into their computing classes and are successful in doing so.
Using longitudinal survey data from women in the CRA-W Graduate Cohort program, we measured the prevalence of observed or experienced sexism and its impact on departure from Computer Science and Computer Engineering (CSE) doctoral programs. Our data suggest that sexist behavior is perceived less often by these women than it is by women in general. In(More)