Discusses the decline in the number of female computer science graduates and presents a categorization by educational stages of the research into this decline as well as an evaluation of the generalizability of findings to broader contexts. Show that the most extensive research is done at the post-secondary stage. (Contains 53 references.)…

Discusses softlifting as a form of software piracy and describes a study that analyzed the softlifting intentions of computing students in Brunei Darussalam. Considers student attitudes; gender; family income; personal computer ownership; experience; faculty remarks; institutional monitoring; and implications for attempts to curb software piracy.…

Presents research conducted with a group of non-computer science majors to determine the effects of prior computing experience on success in college computer science courses. Specific relationships between prior experience factors and gender were studied, and the results indicate that pre-college computing can have an important role in achieving…

Proposes that to bridge today's gender gap in computing, prior approaches need to integrate appeals to girls' traditional and nontraditional interests, and focus content more clearly on learning about computer design itself. A test of this strategy obtained significant increases in the treatment group's interest in, sense of relevancy of, and…

Describes a study that examined differences in computer-related attitudes and future intentions between females in an all-female class and males and females in mixed-gender classes. Results of this study conducted in grade 11 computer science courses indicate that an all-female environment may enhance the learning experiences of female students.…

Describes a study of Norwegian college students that investigated whether gender, group composition, or self-efficacy in computing has any impact on cooperation, giving or getting task-related help, and level of activity in student groups. Results confirms gender differences in self-efficacy in computing. (Author/LRW)

Describes a study that examined various characteristics of undergraduate students enrolled in a computer skills course. Variables considered include gender, college major, high school computer courses, other prior computer experience, computer self-efficacy, computer attitude, computer anxiety, and cognitive style. (Author/LRW)