ERIC Number: EJ1425923
Record Type: Journal
Publication Date: 2024-May
Pages: 8
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-8756-3894
EISSN: EISSN-1559-7075
Exploring Teacher and Student Stereotypes in a Gender-Inclusive Secondary Computer Science Program
Mike Karlin; Anne Ottenbreit-Leftwich; Yin-Chan Janet Liao
TechTrends: Linking Research and Practice to Improve Learning, v68 n3 p448-455 2024
While a growing emphasis has been placed on broadening participation in computer science (CS) education, an enduring gender gap exists. One reason for this is gender-based CS stereotypes, which serve as gatekeepers and act in exclusionary ways. However, some high schools in the U.S. have still built gender-inclusive CS programs. We conducted a 3-month long case study at one such school (Forest View High School, FVHS, pseudonym) to better understand existing stereotypes. Data sources included student and alumnae interviews, student reflections, and teacher interviews. Constant comparative analysis was used to uncover emergent themes. Overall, gender-based stereotypes did not appear to be present, potentially as a result of mitigating strategies like access to women role models and recognition of the importance of a growth mindset. However, nerd-genius stereotypes were common. Despite a focus on nerd-genius stereotypes, students also held perceptions that computer scientists could be any type of person.
Descriptors: High Schools, Computer Science Education, Gender Differences, Stereotypes, Sex, Gender Bias, Inclusion, Student Attitudes, Teacher Attitudes, Role Models
Springer. Available from: Springer Nature. One New York Plaza, Suite 4600, New York, NY 10004. Tel: 800-777-4643; Tel: 212-460-1500; Fax: 212-460-1700; e-mail: customerservice@springernature.com; Web site: https://bibliotheek.ehb.be:2123/
Publication Type: Journal Articles; Reports - Research
Education Level: High Schools; Secondary Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A