54th SIGCSE TS 2023

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Proceedings
DatesMarch 15-18, 2023 
LocationToronto, Ontario, CA
Websitehttp://sigcse2023.sigcse.org/

Awards

2023 ACM SIGCSE Award for Outstanding Contribution to Computer Science Education

Susan Rodger

For creating JFLAP, changing how the automata course is taught; and for helping to bring computing to primary and secondary schools through her work with the Alice environment.

2023 ACM SIGCSE Award for Lifetime Service to the Computer Science Education Community

Renée McCauley

For more than two decades of exemplary service to SIGCSE, the computing education community and ACM; her mentoring and encouragement to others; and her leadership in increasing the global impact of SIGCSE.

Technical Symposium Best Papers

Computing Education Research
  1. Geoffrey L. Herman, Shan Huang, Peter A. Peterson, Linda Oliva, Enis Golaszewski, and Alan T. Sherman. 2023. Psychometric Evaluation of the Cybersecurity Curriculum Assessment. In Proceedings of the 54th ACM Technical Symposium on Computer Science Education V. 1 (SIGCSE 2023). Association for Computing Machinery, New York, NY, USA, 228–234.
    DOI:<https://doi.org/10.1145/3545945.3569762>

  2. Rachel Harred, Tiffany Barnes, Susan R. Fisk, Bita Akram, Thomas W. Price, and Spencer Yoder. 2023. Do Intentions to Persist Predict Short-Term Computing Course Enrollments: A Scale Development, Validation, and Reliability Analysis. In Proceedings of the 54th ACM Technical Symposium on Computer Science Education V. 1 (SIGCSE 2023). Association for Computing Machinery, New York, NY, USA, 1062–1068.
    DOI:<https://doi.org/10.1145/3545945.3569875>

  3. Eric J. Mayhew and Elizabeth Patitsas. 2023. Critical Pedagogy in Practice in the Computing Classroom. In Proceedings of the 54th ACM Technical Symposium on Computer Science Education V. 1 (SIGCSE 2023). Association for Computing Machinery, New York, NY, USA, 1076–1082.
    DOI:<https://doi.org/10.1145/3545945.3569840>

Experience Reports and Tools
  1. Lisa Zhang, Bogdan Simion, Michael Kaler, Amna Liaqat, Daniel Dick, Andi Bergen, Michael Miljanovic, and Andrew Petersen. 2023. Embedding and Scaling Writing Instruction Across First- and Second-Year Computer Science Courses. In Proceedings of the 54th ACM Technical Symposium on Computer Science Education V. 1 (SIGCSE 2023). Association for Computing Machinery, New York, NY, USA, 610–616.
    DOI:<https://doi.org/10.1145/3545945.3569729>

  2. Gloria Ashiya Katuka, Yvonika Auguste, Yukyeong Song, Xiaoyi Tian, Amit Kumar, Mehmet Celepkolu, Kristy Elizabeth Boyer, Joanne Barrett, Maya Israel, and Tom McKlin. 2023. A Summer Camp Experience to Engage Middle School Learners in AI through Conversational App Development. In Proceedings of the 54th ACM Technical Symposium on Computer Science Education V. 1 (SIGCSE 2023). Association for Computing Machinery, New York, NY, USA, 813–819.
    DOI:<https://doi.org/10.1145/3545945.3569864>

  3. Bailey Flanigan, Ananya A. Joshi, Sara McAllister, and Catalina Vajiac. 2023. CS-JEDI: Required DEI Education, by CS PhD Students, for CS PhD Students. In Proceedings of the 54th ACM Technical Symposium on Computer Science Education V. 1 (SIGCSE 2023). Association for Computing Machinery, New York, NY, USA, 87–93.
    DOI:<https://doi.org/10.1145/3545945.3569733>

Position Papers and Curriculum Initiatives
  1. Brett A. Becker, Paul Denny, James Finnie-Ansley, Andrew Luxton-Reilly, James Prather, and Eddie Antonio Santos. 2023. Programming Is Hard - Or at Least It Used to Be: Educational Opportunities and Challenges of AI Code Generation. In Proceedings of the 54th ACM Technical Symposium on Computer Science Education V. 1 (SIGCSE 2023). Association for Computing Machinery, New York, NY, USA, 500–506.
    DOI:<https://doi.org/10.1145/3545945.3569759>

  2. Muwei Zheng, Nathan Swearingen, Steven Mills, Croix Gyurek, Matt Bishop, and Xukai Zou. 2023. Case Study: Mapping an E-Voting Based Curriculum to CSEC2017. In Proceedings of the 54th ACM Technical Symposium on Computer Science Education V. 1 (SIGCSE 2023). Association for Computing Machinery, New York, NY, USA, 514–520.
    DOI:<https://doi.org/10.1145/3545945.3569811>