53rd SIGCSE TS 2022

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Proceedings
DatesMarch 2-5, 2022 
LocationProvidence, RI, USA
Websitehttp://sigcse2022.sigcse.org/

Awards

2022 ACM SIGCSE Award for Outstanding Contribution to Computer Science Education

Barbara Ericson

For developing, evaluating, and disseminating methods to make computing education more effective, efficient, and accessible, and for national leadership in computing education measurement and public policy.

2022 ACM SIGCSE Award for Lifetime Service to the Computer Science Education Community

Simon

For exemplary service to the international computing education community through his tireless dedication to conference organisation, and his generous mentoring and leadership in research and education.

Technical Symposium Best Papers

Computing Education Research

  1. Jayne Everson, F. Megumi Kivuva, and Amy J. Ko. 2022. A Key to Reducing Inequities in Like, AI, is by Reducing Inequities Everywhere First: Emerging Critical Consciousness in a Co-Constructed Secondary CS Classroom. In Proceedings of the 53rd ACM Technical Symposium on Computer Science Education V. 1 (SIGCSE 2022). Association for Computing Machinery, New York, NY, USA, 209–215.
    DOI:<https://doi.org/10.1145/3478431.3499395>

  2. Sophia Krause-Levy, Sander Valstar, Leo Porter, and William G. Griswold. 2022. A Demographic Analysis on Prerequisite Preparation in an Advanced Data Structures Course. In Proceedings of the 53rd ACM Technical Symposium on Computer Science Education V. 1 (SIGCSE 2022). Association for Computing Machinery, New York, NY, USA, 661–667.
    DOI:<https://doi.org/10.1145/3478431.3499337>

  3. Juho Leinonen, Francisco Enrique Vicente Castro, and Arto Hellas. 2022. Time-on-Task Metrics for Predicting Performance. In Proceedings of the 53rd ACM Technical Symposium on Computer Science Education V. 1 (SIGCSE 2022). Association for Computing Machinery, New York, NY, USA, 871–877.
    DOI:<https://doi.org/10.1145/3478431.3499359>

Experience Reports and Tools

  1. Wengran Wang, Audrey Le Meur, Mahesh Bobbadi, Bita Akram, Tiffany Barnes, Chris Martens, and Thomas Price. 2022. Exploring Design Choices to Support Novices’ Example Use During Creative Open-Ended Programming. In Proceedings of the 53rd ACM Technical Symposium on Computer Science Education V. 1 (SIGCSE 2022). Association for Computing Machinery, New York, NY, USA, 619–625.
    DOI:<https://doi.org/10.1145/3478431.3499374>

  2. Jan Vykopal, Valdemar Švábenský, Pavel Seda, and Pavel Čeleda. 2022. Preventing Cheating in Hands-on Lab Assignments. In Proceedings of the 53rd ACM Technical Symposium on Computer Science Education V. 1 (SIGCSE 2022). Association for Computing Machinery, New York, NY, USA, 78–84.
    DOI:<https://doi.org/10.1145/3478431.3499420>

  3. Jiameng Du, Yifan Song, Mingxiao An, Marshall An, Christopher Bogart, and Majd Sakr. 2022. Cheating Detection in Online Assessments via Timeline Analysis. In Proceedings of the 53rd ACM Technical Symposium on Computer Science Education V. 1 (SIGCSE 2022). Association for Computing Machinery, New York, NY, USA, 98–104.
    DOI:<https://doi.org/10.1145/3478431.3499368>

Position Papers and Curriculum Initiatives

  1. Kathryn Cunningham, Yike Qiao, Alex Feng, and Eleanor O’Rourke. 2022. Bringing “High-level” Down to Earth: Gaining Clarity in Conversational Programmer Learning Goals. In Proceedings of the 53rd ACM Technical Symposium on Computer Science Education V. 1 (SIGCSE 2022). Association for Computing Machinery, New York, NY, USA, 551–557.
    DOI:<https://doi.org/10.1145/3478431.3499370>

  2. Veronica Catete, Amy Isvik, and Marnie Hill. 2022. A Framework for Socially-Relevant Service-Learning Internship Experiences for High School Students. In Proceedings of the 53rd ACM Technical Symposium on Computer Science Education V. 1 (SIGCSE 2022). Association for Computing Machinery, New York, NY, USA, 815–821.
    DOI:<https://doi.org/10.1145/3478431.3499355>