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Toward More Gender Diversity in CS through an Artificial Intelligence Summer Program for High School Girls

Authors:

Marie E. Vachovsky,

Grace Wu,

Sorathan Chaturapruek,

Olga Russakovsky,

Richard Sommer,

Li Fei-FeiAuthors Info & Claims

SIGCSE '16: Proceedings of the 47th ACM Technical Symposium on Computing Science Education

Pages 303 - 308

https://doi.org/10.1145/2839509.2844620

Published: 17 February 2016 Publication History

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Abstract

The field of computer science suffers from a lack of diversity. The Stanford Artificial Intelligence Laboratory's Outreach 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.

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O’Dea XTsz Kit Ng DO’Dea MShkuratskyy V(2024)Factors affecting university students’ generative AI literacy: Evidence and evaluation in the UK and Hong Kong contextsPolicy Futures in Education10.1177/14782103241287401Online publication date: 26-Sep-2024
https://doi.org/10.1177/14782103241287401
Shehzad UClarke-Midura JRecker M(2024)Examining the Role of Parental Support on Youth’s Interest in and Self-Efficacy of Computer ProgrammingACM Transactions on Computing Education10.1145/367688824:3(1-23)Online publication date: 27-Sep-2024
https://dl.acm.org/doi/10.1145/3676888
Tseng TDavidson MMorales-Navarro LChen JDelaney VLeibowitz MBeason JShapiro R(2024)Co-ML: Collaborative Machine Learning Model Building for Developing Dataset Design PracticesACM Transactions on Computing Education10.1145/364155224:2(1-37)Online publication date: 16-Apr-2024
https://dl.acm.org/doi/10.1145/3641552
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Index Terms

Toward More Gender Diversity in CS through an Artificial Intelligence Summer Program for High School Girls
1. Computing methodologies
  1. Artificial intelligence
2. Social and professional topics
  1. Professional topics
    1. Computing education
  2. User characteristics
    1. Gender
      1. Women

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Published In

SIGCSE '16: Proceedings of the 47th ACM Technical Symposium on Computing Science Education

February 2016

768 pages

ISBN:9781450336857

DOI:10.1145/2839509

General Chairs:
Carl Alphonce
University at Buffalo
,
Jodi Tims
Baldwin Wallace University
,
Program Chairs:
Michael Caspersen
Aarhus University
,
Stephen Edwards
Virginia Tech University

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Association for Computing Machinery

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Published: 17 February 2016

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SIGCSE '16: The 47th ACM Technical Symposium on Computing Science Education

March 2 - 5, 2016

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SIGCSE '16 Paper Acceptance Rate 105 of 297 submissions, 35%;

Overall Acceptance Rate 1,595 of 4,542 submissions, 35%

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O’Dea XTsz Kit Ng DO’Dea MShkuratskyy V(2024)Factors affecting university students’ generative AI literacy: Evidence and evaluation in the UK and Hong Kong contextsPolicy Futures in Education10.1177/14782103241287401Online publication date: 26-Sep-2024
Shehzad UClarke-Midura JRecker M(2024)Examining the Role of Parental Support on Youth’s Interest in and Self-Efficacy of Computer ProgrammingACM Transactions on Computing Education10.1145/367688824:3(1-23)Online publication date: 27-Sep-2024
Tseng TDavidson MMorales-Navarro LChen JDelaney VLeibowitz MBeason JShapiro R(2024)Co-ML: Collaborative Machine Learning Model Building for Developing Dataset Design PracticesACM Transactions on Computing Education10.1145/364155224:2(1-37)Online publication date: 16-Apr-2024
Quiroz PGutierrez FStephenson BStone JBattestilli LRebelsky SShoop L(2024)Scratch-NB: A Scratch Extension for Introducing K-12 Learners to Supervised Machine LearningProceedings of the 55th ACM Technical Symposium on Computer Science Education V. 110.1145/3626252.3630920(1077-1083)Online publication date: 7-Mar-2024
Jiang SMcClure JTatar CBickel FRosé CChao J(2024)Towards inclusivity in AI: A comparative study of cognitive engagement between marginalized female students and peersBritish Journal of Educational Technology10.1111/bjet.1346755:6(2557-2573)Online publication date: 23-Apr-2024
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Gao HZhang YHwang GZhao SWang YWang K(2024)Delving into primary students’ conceptions of artificial intelligence learning: A drawing-based epistemic network analysisEducation and Information Technologies10.1007/s10639-024-12847-029:18(25457-25486)Online publication date: 1-Dec-2024
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Casal-Otero LCatala AFernández-Morante CTaboada MCebreiro BBarro S(2023)AI literacy in K-12: a systematic literature reviewInternational Journal of STEM Education10.1186/s40594-023-00418-710:1Online publication date: 19-Apr-2023
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How to Plan and Run Summer Computing Camps: Logistics (Abstract Only)

Computer Science Summer Camps: Making Summer Programs Fun and Sustainable (Abstract Only)

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