SIGCSE Conferences Best Papers

The SIGCSE organization has recognized a total of 48 papers in various (4) categories.

Best Paper
  1. Celine Latulipe, N. Bruce Long, and Carlos E. Seminario. 2015. Structuring Flipped Classes with Lightweight Teams and Gamification. In Proceedings of the 46th ACM Technical Symposium on Computer Science Education (SIGCSE ‘15). Association for Computing Machinery, New York, NY, USA, 392–397.
    DOI: https://doi.org/10.1145/2676723.2677240
    Presented: 2015 Technical Symposium

  2. Claudia Szabo. 2014. Student projects are not throwaways: teaching practical software maintenance in a software engineering course. In Proceedings of the 45th ACM technical symposium on Computer science education (SIGCSE ‘14). Association for Computing Machinery, New York, NY, USA, 55–60.
    DOI: https://doi.org/10.1145/2538862.2538965
    Presented: 2014 Technical Symposium

  3. Leo Porter and Beth Simon. 2013. Retaining nearly one-third more majors with a trio of instructional best practices in CS1. In Proceeding of the 44th ACM technical symposium on Computer science education (SIGCSE ‘13). Association for Computing Machinery, New York, NY, USA, 165–170.
    DOI: https://doi.org/10.1145/2445196.2445248
    Presented: 2013 Technical Symposium

  4. Jeremy Andrus and Jason Nieh. 2012. Teaching operating systems using android. In Proceedings of the 43rd ACM technical symposium on Computer Science Education (SIGCSE ‘12). Association for Computing Machinery, New York, NY, USA, 613–618.
    DOI: https://doi.org/10.1145/2157136.2157312
    Presented: 2012 Technical Symposium

  5. Guillaume Marceau, Kathi Fisler, and Shriram Krishnamurthi. 2011. Measuring the effectiveness of error messages designed for novice programmers. In Proceedings of the 42nd ACM technical symposium on Computer science education (SIGCSE ‘11). Association for Computing Machinery, New York, NY, USA, 499–504.
    DOI: https://doi.org/10.1145/1953163.1953308
    Presented: 2011 Technical Symposium

Computing Education Research
  1. 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
    Presented: 2023 Technical Symposium

  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
    Presented: 2023 Technical Symposium

  3. 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
    Presented: 2023 Technical Symposium

  4. 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
    Presented: 2022 Technical Symposium

  5. 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
    Presented: 2022 Technical Symposium

  6. 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
    Presented: 2022 Technical Symposium

  7. Max Fowler and Craig Zilles. 2021. Superficial Code-guise: Investigating the Impact of Surface Feature Changes on Students’ Programming Question Scores. In Proceedings of the 52nd ACM Technical Symposium on Computer Science Education (SIGCSE ‘21). Association for Computing Machinery, New York, NY, USA, 3–9.
    DOI: https://doi.org/10.1145/3408877.3432413
    Presented: 2021 Technical Symposium

  8. Yolanda A. Rankin, Jakita O. Thomas, and Sheena Erete. 2021. Real Talk: Saturated Sites of Violence in CS Education. In Proceedings of the 52nd ACM Technical Symposium on Computer Science Education (SIGCSE ‘21). Association for Computing Machinery, New York, NY, USA, 802–808.
    DOI: https://doi.org/10.1145/3408877.3432432
    Presented: 2021 Technical Symposium

  9. Catherine Mooney and Brett A. Becker. 2021. Investigating the Impact of the COVID-19 Pandemic on Computing Students’ Sense of Belonging. In Proceedings of the 52nd ACM Technical Symposium on Computer Science Education (SIGCSE ‘21). Association for Computing Machinery, New York, NY, USA, 612–618.
    DOI: https://doi.org/10.1145/3408877.3432407
    Presented: 2021 Technical Symposium

  10. Valdemar Švábenský, Jan Vykopal, and Pavel Čeleda. 2020. What Are Cybersecurity Education Papers About? A Systematic Literature Review of SIGCSE and ITiCSE Conferences. In Proceedings of the 51st ACM Technical Symposium on Computer Science Education (SIGCSE ‘20). Association for Computing Machinery, New York, NY, USA, 2–8.
    DOI: https://doi.org/10.1145/3328778.3366816
    Presented: 2020 Technical Symposium

  11. Jeremiah Blanchard, Christina Gardner-McCune, and Lisa Anthony. 2020. Dual-Modality Instruction and Learning: A Case Study in CS1. In Proceedings of the 51st ACM Technical Symposium on Computer Science Education (SIGCSE ‘20). Association for Computing Machinery, New York, NY, USA, 818–824.
    DOI: https://doi.org/10.1145/3328778.3366865
    Presented: 2020 Technical Symposium

  12. An Nguyen and Colleen M. Lewis. 2020. Competitive Enrollment Policies in Computing Departments Negatively Predict First-Year Students’ Sense of Belonging, Self-Efficacy, and Perception of Department. In Proceedings of the 51st ACM Technical Symposium on Computer Science Education (SIGCSE ‘20). Association for Computing Machinery, New York, NY, USA, 685–691.
    DOI: https://doi.org/10.1145/3328778.3366805
    Presented: 2020 Technical Symposium

  13. Soohyun Nam Liao, Daniel Zingaro, Christine Alvarado, William G. Griswold, and Leo Porter. 2019. Exploring the Value of Different Data Sources for Predicting Student Performance in Multiple CS Courses. In Proceedings of the 50th ACM Technical Symposium on Computer Science Education (SIGCSE ’19). Association for Computing Machinery, New York, NY, USA, 112–118.
    DOI: https://doi.org/10.1145/3287324.3287407
    Presented: 2019 Technical Symposium

  14. James Prather, Raymond Pettit, Brett A. Becker, Paul Denny, Dastyni Loksa, Alani Peters, Zachary Albrecht, and Krista Masci. 2019. First Things First: Providing Metacognitive Scaffolding for Interpreting Problem Prompts. In Proceedings of the 50th ACM Technical Symposium on Computer Science Education (SIGCSE ‘19). Association for Computing Machinery, New York, NY, USA, 531–537.
    DOI: https://doi.org/10.1145/3287324.3287374
    Presented: 2019 Technical Symposium

  15. Ayaan M. Kazerouni, Clifford A. Shaffer, Stephen H. Edwards, and Francisco Servant. 2019. Assessing Incremental Testing Practices and Their Impact on Project Outcomes. In Proceedings of the 50th ACM Technical Symposium on Computer Science Education (SIGCSE ’19). Association for Computing Machinery, New York, NY, USA, 407–413.
    DOI: https://doi.org/10.1145/3287324.3287366
    Presented: 2019 Technical Symposium

Experience Reports and Tools
  1. 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
    Presented: 2023 Technical Symposium

  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
    Presented: 2023 Technical Symposium

  3. 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
    Presented: 2023 Technical Symposium

  4. 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
    Presented: 2022 Technical Symposium

  5. 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
    Presented: 2022 Technical Symposium

  6. 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
    Presented: 2022 Technical Symposium

  7. Audrey Rorrer, Breauna Spencer, Sloan Davis, Sepi Hejazi Moghadam, Deborah Holmes, and Cori Grainger. 2021. Understanding Immersive Research Experiences that Build Community, Equity, and Inclusion. In Proceedings of the 52nd ACM Technical Symposium on Computer Science Education (SIGCSE ‘21). Association for Computing Machinery, New York, NY, USA, 149–155.
    DOI: https://doi.org/10.1145/3408877.3432523
    Presented: 2021 Technical Symposium

  8. Andrew Begel, James Dominic, Conner Phillis, Thomas Beeson, and Paige Rodeghero. 2021. How a Remote Video Game Coding Camp Improved Autistic College Students’ Self-Efficacy in Communication. In Proceedings of the 52nd ACM Technical Symposium on Computer Science Education (SIGCSE ‘21). Association for Computing Machinery, New York, NY, USA, 142–148.
    DOI: https://doi.org/10.1145/3408877.3432516
    Presented: 2021 Technical Symposium

  9. Julia M. Markel and Philip J. Guo. 2021. Inside the Mind of a CS Undergraduate TA: A Firsthand Account of Undergraduate Peer Tutoring in Computer Labs. In Proceedings of the 52nd ACM Technical Symposium on Computer Science Education (SIGCSE ‘21). Association for Computing Machinery, New York, NY, USA, 502–508.
    DOI: https://doi.org/10.1145/3408877.3432533
    Presented: 2021 Technical Symposium

  10. Jessica Young Schmidt. 2020. Reviewing CS1 Materials through a Collaborative Software Engineering Exercise: An Experience Report. In Proceedings of the 51st ACM Technical Symposium on Computer Science Education (SIGCSE ‘20). Association for Computing Machinery, New York, NY, USA, 379–385.
    DOI: https://doi.org/10.1145/3328778.3366932
    Presented: 2020 Technical Symposium

  11. Jennifer Tsan, Jessica Vandenberg, Zarifa Zakaria, Joseph B. Wiggins, Alexander R. Webber, Amanda Bradbury, Collin Lynch, Eric Wiebe, and Kristy Elizabeth Boyer. 2020. A Comparison of Two Pair Programming Configurations for Upper Elementary Students. In Proceedings of the 51st ACM Technical Symposium on Computer Science Education (SIGCSE ‘20). Association for Computing Machinery, New York, NY, USA, 346–352.
    DOI: https://doi.org/10.1145/3328778.3366941
    Presented: 2020 Technical Symposium

  12. Tracy Camp, Christine Liebe, and Michelle Slattery. 2020. Applying NCWIT Protocol to Broaden Participation in Computing: A Case Study of CS@Mines. In Proceedings of the 51st ACM Technical Symposium on Computer Science Education (SIGCSE ‘20). Association for Computing Machinery, New York, NY, USA, 528–534.
    DOI: https://doi.org/10.1145/3328778.3366958
    Presented: 2020 Technical Symposium

  13. Joel C. Adams, Elizabeth R. Koning, and Christiaan D. Hazlett. 2019. Visualizing Classic Synchronization Problems: Dining Philosophers, Producers-Consumers, and Readers-Writers. In Proceedings of the 50th ACM Technical Symposium on Computer Science Education (SIGCSE ’19). Association for Computing Machinery, New York, NY, USA, 934–940.
    DOI: https://doi.org/10.1145/3287324.3287467
    Presented: 2019 Technical Symposium

  14. Andreas Stefik, Richard E. Ladner, William Allee, and Sean Mealin. 2019. Computer Science Principles for Teachers of Blind and Visually Impaired Students. In Proceedings of the 50th ACM Technical Symposium on Computer Science Education (SIGCSE ’19). Association for Computing Machinery, New York, NY, USA, 766–772.
    DOI: https://doi.org/10.1145/3287324.3287453
    Presented: 2019 Technical Symposium

  15. Janet Davis and Samuel A. Rebelsky. 2019. Developing Soft and Technical Skills Through Multi-Semester, Remotely Mentored, Community-Service Projects. In Proceedings of the 50th ACM Technical Symposium on Computer Science Education (SIGCSE ’19). Association for Computing Machinery, New York, NY, USA, 29–35.
    DOI: https://doi.org/10.1145/3287324.3287508
    Presented: 2019 Technical Symposium

Position Papers and Curriculum Initiatives
  1. 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
    Presented: 2023 Technical Symposium

  2. 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
    Presented: 2023 Technical Symposium

  3. 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
    Presented: 2022 Technical Symposium

  4. 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
    Presented: 2022 Technical Symposium

  5. Mariam Salloum, Daniel Jeske, Wenxiu Ma, Vagelis Papalexakis, Christian Shelton, Vassilis Tsotras, and Shuheng Zhou. 2021. Developing an Interdisciplinary Data Science Program. In Proceedings of the 52nd ACM Technical Symposium on Computer Science Education (SIGCSE ‘21). Association for Computing Machinery, New York, NY, USA, 509–515.
    DOI: https://doi.org/10.1145/3408877.3432454
    Presented: 2021 Technical Symposium

  6. Aleata Hubbard Cheuoua. 2021. Confronting Inequities in Computer Science Education: A Case for Critical Theory. In Proceedings of the 52nd ACM Technical Symposium on Computer Science Education (SIGCSE ‘21). Association for Computing Machinery, New York, NY, USA, 425–430.
    DOI: https://doi.org/10.1145/3408877.3432453
    Presented: 2021 Technical Symposium

  7. Raymond W. Blaine, Jean R. S. Blair, Christa M. Chewar, Rob Harrison, James J. Raftery, and Edward Sobiesk. 2021. Creating a Multifarious Cyber Science Major. In Proceedings of the 52nd ACM Technical Symposium on Computer Science Education (SIGCSE ‘21). Association for Computing Machinery, New York, NY, USA, 1205–1211.
    DOI: https://doi.org/10.1145/3408877.3432462
    Presented: 2021 Technical Symposium

  8. Joel C. Adams. 2020. Creating a Balanced Data Science Program. In Proceedings of the 51st ACM Technical Symposium on Computer Science Education (SIGCSE ‘20). Association for Computing Machinery, New York, NY, USA, 185–191.
    DOI: https://doi.org/10.1145/3328778.3366800
    Presented: 2020 Technical Symposium

  9. Abhijeet Agnihotri, Matthew O’Kelly, Rahul Mangharam, and Houssam Abbas. 2020. Teaching Autonomous Systems at 1/10th-scale: Design of the F1/10 Racecar, Simulators and Curriculum. In Proceedings of the 51st ACM Technical Symposium on Computer Science Education (SIGCSE ‘20). Association for Computing Machinery, New York, NY, USA, 657–663.
    DOI: https://doi.org/10.1145/3328778.3366796
    Presented: 2020 Technical Symposium

  10. Paul Goldenberg, June Mark, Brian Harvey, Al Cuoco, and Mary Fries. 2020. Design Principles behind Beauty and Joy of Computing. In Proceedings of the 51st ACM Technical Symposium on Computer Science Education (SIGCSE ‘20). Association for Computing Machinery, New York, NY, USA, 220–226.
    DOI: https://doi.org/10.1145/3328778.3366794
    Presented: 2020 Technical Symposium

  11. Austin Cory Bart, Allie Sarver, Michael Friend, and Larry Cox II. 2019. PythonSneks: An Open-Source, Instructionally-Designed Introductory Curriculum with Action-Design Research. In Proceedings of the 50th ACM Technical Symposium on Computer Science Education (SIGCSE ’19). Association for Computing Machinery, New York, NY, USA, 307–313.
    DOI: https://doi.org/10.1145/3287324.3287428
    Presented: 2019 Technical Symposium

  12. Heather Pon-Barry, Audrey St. John, Becky Wai-Ling Packard, and Barbara Rotundo. 2019. A Flexible Curriculum for Promoting Inclusion through Peer Mentorship. In Proceedings of the 50th ACM Technical Symposium on Computer Science Education (SIGCSE ’19). Association for Computing Machinery, New York, NY, USA, 1116–1122.
    DOI: https://doi.org/10.1145/3287324.3287434
    Presented: 2019 Technical Symposium

  13. Cynthia Taylor and Saheel Sakharkar. 2019. ’);DROP TABLE textbooks;–: An Argument for SQL Injection Coverage in Database Textbooks. In Proceedings of the 50th ACM Technical Symposium on Computer Science Education (SIGCSE ’19). Association for Computing Machinery, New York, NY, USA, 191–197.
    DOI: https://doi.org/10.1145/3287324.3287429
    Presented: 2019 Technical Symposium

About SIGCSE

The SIGCSE organization provides a forum for educators to discuss issues related to the development, implementation, and/or evaluation of computing programs, curricula, and courses, as well as syllabi, laboratories, and other elements of teaching and pedagogy.

 

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