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SIGCSE 2024: Proceedings of the 55th ACM Technical Symposium on Computer Science Education V. 1
ACM2024 Proceeding
Publisher:
  • Association for Computing Machinery
  • New York
  • NY
  • United States
Conference:
SIGCSE 2024: The 55th ACM Technical Symposium on Computer Science Education Portland OR USA March 20 - 23, 2024
ISBN:
979-8-4007-0423-9
Published:
07 March 2024
Sponsors:
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Abstract

Welcome to the 55th annual SIGCSE Technical Symposium on Computer Science Education (SIGCSE TS 2024)! This year, we have returned to Portland, Oregon. We hope that, like us, you are looking forward to a highly productive and engaging symposium that provides ample opportunity to renew old relationships, build new connections, and learn about the latest advances in our field. While we are sure that there will be a few surprises along the way, we hope and expect that we won't experience anything nearly as disruptive as the opening days of the pandemic, which occurred when we last tried to gather here in 2020.

Our theme for this year's symposium is "Blazing New Trails in CS Education." This broad theme captures the exceptional work being performed by this community to enhance our teaching, improve our assessments, attract diverse students, and all of the other laudable projects, initiatives, and undertakings that affect positive change. The breadth of the program is substantial - there truly should be something for everyone. In fact, your biggest challenge may be deciding which session to attend in each time slot because there is so much going on! We know that many of you want to attend as many sessions as possible while you are here in Portland, but we encourage you to also find a little bit of time for yourself so that you leave Portland refreshed, renewed and encouraged, rather than exhausted or burnt out.

Contributors
  • University of Calgary
  • NC State University

Index Terms

  1. Proceedings of the 55th ACM Technical Symposium on Computer Science Education V. 1
    Index terms have been assigned to the content through auto-classification.

    Recommendations

    Acceptance Rates

    Overall Acceptance Rate 1,787 of 5,146 submissions, 35%
    YearSubmittedAcceptedRate
    SIGCSE TS 202560419232%
    SIGCSE '1952616932%
    SIGCSE '1845916135%
    SIGCSE '1734810530%
    SIGCSE '1629710535%
    SIGCSE '1528910536%
    SIGCSE '1427410839%
    SIGCSE '1329311138%
    SIGCSE '1228910035%
    SIGCSE '1131510734%
    SIGCSE '022347331%
    SIGCSE '012257835%
    SIGCSE '002207835%
    SIGCSE '991907037%
    SIGCSE '982017236%
    SIGCSE '971777542%
    SIGCSE '962057838%
    Overall5,1461,78735%