ERIC Number: EJ1096117
Record Type: Journal
Publication Date: 2016-Apr
Abstractor: As Provided
Computing Whether She Belongs: Stereotypes Undermine Girls' Interest and Sense of Belonging in Computer Science
Master, Allison; Cheryan, Sapna; Meltzoff, Andrew N.
Journal of Educational Psychology, v108 n3 p424-437 Apr 2016
Computer science has one of the largest gender disparities in science, technology, engineering, and mathematics. An important reason for this disparity is that girls are less likely than boys to enroll in necessary "pipeline courses," such as introductory computer science. Two experiments investigated whether high-school girls' lower interest than boys in enrolling in computer science courses is influenced by stereotypes of the field. We further tested whether these stereotypes can be communicated by the physical classroom environment, and whether changing this environment alters girls' interest. In 2 experiments (N = 269), a computer science classroom that did not project current computer science stereotypes caused girls, but not boys, to express more interest in taking computer science than a classroom that made these stereotypes salient. The gender difference was mediated by girls' lower sense of belonging in the course, even beyond the effects of negative stereotype concerns, expectations of success, and utility value. Girls' lower sense of belonging could be traced to lower feelings of fit with computer science stereotypes. Individual differences in fit with stereotypes predicted girls' belonging and interest in a stereotypical, but not a nonstereotypical, classroom. Adolescence is a critical time for career aspirations. Girls may avoid computer science courses because current prevailing stereotypes of the field signal to them that they do not belong. However, providing them with an educational environment that does not fit current computer science stereotypes increases their interest in computer science courses and could provide grounds for interventions to help reduce gender disparities in computer science enrollment.
Descriptors: Gender Differences, Computer Science, Sex Stereotypes, Computer Science Education, Classroom Environment, Student Interests, Student Attitudes, Student School Relationship, High School Students, Secondary School Science, Student Surveys, Course Selection (Students), Statistical Analysis, STEM Education
American Psychological Association. Journals Department, 750 First Street NE, Washington, DC 20002. Tel: 800-374-2721; Tel: 202-336-5510; Fax: 202-336-5502; e-mail: email@example.com; Web site: http://www.apa.org
Publication Type: Journal Articles; Reports - Research
Education Level: High Schools; Secondary Education
Sponsor: National Science Foundation (NSF)
Authoring Institution: N/A
Grant or Contract Numbers: SMA0835854|DRL0845110