TY - GEN
T1 - Towards more gender diversity in CS through an artificial intelligence summer program for high school girls
AU - Vachovsky, Marie E.
AU - Wu, Grace
AU - Chaturapruek, Sorathan
AU - Russakovsky, Olga
AU - Sommer, Richard
AU - Fei-Fei, Li
N1 - Publisher Copyright:
© 2016 Copyright held by the owner/author(s).
PY - 2016/2/17
Y1 - 2016/2/17
N2 - The field of computer science suffers from a lack of diversity. The Stanford Artificial Intelligence Laboratory's Out- reach Summer (SAILORS), a two-week non-residential free summer program, recruits high school girls to computer science, specifically to Artificial Intelligence (AI). The program was organized by graduate student and professor volunteers. The goals of the pilot program are to increase interest in AI, contextualize technically rigorous AI concepts through societal impact, and address barriers that could discourage 10th grade girls from pursuing computer science. In this paper we describe the curriculum designed to achieve these goals. Survey results show students had a statistically significant increase in technical knowledge, interest in pursuing careers in AI, and confidence in succeeding in AI and computer science. Additionally, survey results show that the majority of the students found new role models, faculty support, and a sense of community in AI and computer science.
AB - The field of computer science suffers from a lack of diversity. The Stanford Artificial Intelligence Laboratory's Out- reach Summer (SAILORS), a two-week non-residential free summer program, recruits high school girls to computer science, specifically to Artificial Intelligence (AI). The program was organized by graduate student and professor volunteers. The goals of the pilot program are to increase interest in AI, contextualize technically rigorous AI concepts through societal impact, and address barriers that could discourage 10th grade girls from pursuing computer science. In this paper we describe the curriculum designed to achieve these goals. Survey results show students had a statistically significant increase in technical knowledge, interest in pursuing careers in AI, and confidence in succeeding in AI and computer science. Additionally, survey results show that the majority of the students found new role models, faculty support, and a sense of community in AI and computer science.
KW - Artificial Intelligence
KW - Computer Science Education
KW - Gender and Diversity
KW - K-12 Education
KW - Outreach
KW - Recruiting Women
KW - Summer Camps
UR - http://www.scopus.com/inward/record.url?scp=84968638735&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84968638735&partnerID=8YFLogxK
U2 - 10.1145/2839509.2844620
DO - 10.1145/2839509.2844620
M3 - Conference contribution
AN - SCOPUS:84968638735
T3 - SIGCSE 2016 - Proceedings of the 47th ACM Technical Symposium on Computing Science Education
SP - 303
EP - 308
BT - SIGCSE 2016 - Proceedings of the 47th ACM Technical Symposium on Computing Science Education
PB - Association for Computing Machinery, Inc
T2 - 47th ACM Technical Symposium on Computing Science Education, SIGCSE 2016
Y2 - 2 March 2016 through 5 March 2016
ER -