skip to main content
10.1145/2538862.2538918acmconferencesArticle/Chapter ViewAbstractPublication PagessigcseConference Proceedingsconference-collections
research-article

Measuring demographics and performance in computer science education at a nationwide scale using AP CS data

Published: 05 March 2014 Publication History

Abstract

We examine the current state of computing education in the United States, in order to be able to identify problems in diversity and performance. Data on computing education are difficult to come by, since computer science courses are not tracked in US public education systems. By using a large and nationwide quantitative data source, we can gain new insights into who is participating in computing education, where the greatest need is, and what factors explain the variance between states. We used data from the Advanced Placement Computer Science A (AP CS A) exam to get a detailed view of the demographics of who is taking the exam across the United States and in each state, and how they are performing on the exam. We use economic and census data to provide explanations for some of the AP CS data. We find that minority group involvement is low in AP CS A, but the variance between states in terms of exam-takers is driven by minority group involvement. We find that wealth in a state influences the number of students taking the AP CS A exam, but indirectly.

References

[1]
W. R. Adrion, R. Fall, M. Matos, and A. R. Peterfreund. Integrating evaluation into program development: benefits of baselining a NSF-BPC alliance. In Proceedings of the 41st ACM technical symposium on Computer science education, SIGCSE '10, pages 27--31, New York, NY, USA, 2010. ACM.
[2]
O. Astrachan, A. Briggs, L. Diaz, and R. B. Osborne. CS principles: Development and evolution of a course and a community. In Proceeding of the 44th ACM technical symposium on Computer science education, SIGCSE '13, pages 635--636, New York, NY, USA, 2013. ACM.
[3]
N. C. C. Brown, M. Kölling, T. Crick, S. Peyton Jones, S. Humphreys, and S. Sentance. Bringing computer science back into schools: lessons from the UK. In Proceeding of the 44th ACM technical symposium on Computer science education, SIGCSE '13, pages 269--274, New York, NY, USA, 2013. ACM.
[4]
M. E. Caspersen and P. Nowack. Computational thinking and practice: A generic approach to computing in Danish high schools. In A. Carbone and J. Whalley, editors, The 15th Australasian Computer Education Conference (ACE 2013), Adelaide, South Australia, February 2013. Conferences in Research and Practice in Information Technology (CRPIT).
[5]
B. Franke, J. Century, M. Lach, C. Wilson, M. Guzdial, G. Chapman, and O. Astrachan. Expanding access to K-12 computer science education: research on the landscape of computer science professional development. In Proceeding of the 44th ACM technical symposium on Computer science education, SIGCSE '13, pages 541--542, New York, NY, USA, 2013. ACM.
[6]
M. Goldweber. TAURUS: A "Taulbee survey" for the rest of us. ACM Inroads, 2(2):38--42, June 2011.
[7]
M. Guzdial, B. Ericson, T. McKlin, and S. Engelman. A statewide survey on computing education pathways and influences: factors in broadening participation in computing. In Proceedings of the Ninth Annual International Conference on Computing Education Research (ICER'12), pages 143--150, New York, NY, 2012. ACM.
[8]
C. M. Lewis, H. Khayrallah, and A. Tsai. Mining data from the AP CS A exam: patterns, non-patterns, and replication failure. In Proceedings of the ninth annual international ACM conference on International computing education research, ICER '13, pages 115--122, New York, NY, USA, 2013. ACM.
[9]
J. Margolis, R. Estrella, J. Goode, J. J. Holme, and K. Nao. Stuck in the Shallow End: Education, Race, and Computing. MIT Press, Cambridge, MA, 2008.
[10]
S. Reges. The mystery of "b := (b = false)". In Proceedings of the 39th SIGCSE technical symposium on Computer science education, SIGCSE '08, pages 21--25, New York, NY, USA, 2008. ACM.
[11]
S. Tavernise. Education gap grows between rich and poor, studies say. New York Times, February 9 2012.

Cited By

View all

Index Terms

  1. Measuring demographics and performance in computer science education at a nationwide scale using AP CS data

    Recommendations

    Comments

    Information & Contributors

    Information

    Published In

    cover image ACM Conferences
    SIGCSE '14: Proceedings of the 45th ACM technical symposium on Computer science education
    March 2014
    800 pages
    ISBN:9781450326056
    DOI:10.1145/2538862
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

    Sponsors

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 05 March 2014

    Permissions

    Request permissions for this article.

    Check for updates

    Author Tags

    1. assessments
    2. broadening participation
    3. education pathways
    4. education pipeline
    5. national assessment
    6. statewide assessment

    Qualifiers

    • Research-article

    Conference

    SIGCSE '14
    Sponsor:

    Acceptance Rates

    SIGCSE '14 Paper Acceptance Rate 108 of 274 submissions, 39%;
    Overall Acceptance Rate 1,595 of 4,542 submissions, 35%

    Upcoming Conference

    SIGCSE TS 2025
    The 56th ACM Technical Symposium on Computer Science Education
    February 26 - March 1, 2025
    Pittsburgh , PA , USA

    Contributors

    Other Metrics

    Bibliometrics & Citations

    Bibliometrics

    Article Metrics

    • Downloads (Last 12 months)32
    • Downloads (Last 6 weeks)1
    Reflects downloads up to 25 Jan 2025

    Other Metrics

    Citations

    Cited By

    View all

    View Options

    Login options

    View options

    PDF

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader

    Figures

    Tables

    Media

    Share

    Share

    Share this Publication link

    Share on social media