SIGCSE 2023 — accepted papers
SIGCSE 2023 is the 2023 edition of the ACM Technical Symposium on Computer Science Education (SIGCSE). OpenAlex lists 166 papers of it; our library holds 1 with our summaries. Below: the most cited papers, every accepted paper, and ours with their topics, authors and institutions.
Most cited papers
- Programming Is Hard - Or at Least It Used to Be ↗Brett A. Becker, Paul C. Denny, James Finnie-Ansley et al.391 citations
- Conversing with Copilot: Exploring Prompt Engineering for Solving CS1 Problems Using Natural Language ↗Paul C. Denny, Viraj Kumar, Nasser Giacaman284 citations
- Using Large Language Models to Enhance Programming Error MessagesJuho Leinonen, Arto Hellas, Sami Sarsa et al.232 citations · our summary
- Experiences from Using Code Explanations Generated by Large Language Models in a Web Software Development E-Book ↗Stephen MacNeil, Andrew Tran, Arto Hellas et al.190 citations
- Using GitHub Copilot to Solve Simple Programming Problems ↗Michel Wermelinger B184 citations
- Developing Machine Learning Algorithm Literacy with Novel Plugged and Unplugged Approaches ↗Ruizhe Ma, Ismaila Temitayo Sanusi, Vaishali Mahipal et al.52 citations
- Incorporating Ethics in Computing Courses ↗Jessie J. Smith, Blakeley H. Payne, Shamika Klassen et al.44 citations
- Cybersecurity Education in the Age of AI: Integrating AI Learning into Cybersecurity High School Curricula ↗Shuchi Grover, Brian Broll, Derek Babb42 citations
- Artificial Intelligence Literacy Research Field: A Bibliometric Analysis from 1989 to 2021 ↗Kamilla Tenório, Viktoriya Olari, Margarita Chikobava et al.37 citations
- Improving Student Motivation by Ungrading ↗Scott Spurlock33 citations
All accepted papers (166)
- Programming Is Hard - Or at Least It Used to Be ↗Brett A. Becker, Paul C. Denny, James Finnie-Ansley et al.391 citations
- Conversing with Copilot: Exploring Prompt Engineering for Solving CS1 Problems Using Natural Language ↗Paul C. Denny, Viraj Kumar, Nasser Giacaman284 citations
- Using Large Language Models to Enhance Programming Error MessagesJuho Leinonen, Arto Hellas, Sami Sarsa et al.232 citations · our summary
- Experiences from Using Code Explanations Generated by Large Language Models in a Web Software Development E-Book ↗Stephen MacNeil, Andrew Tran, Arto Hellas et al.190 citations
- Using GitHub Copilot to Solve Simple Programming Problems ↗Michel Wermelinger B184 citations
- Developing Machine Learning Algorithm Literacy with Novel Plugged and Unplugged Approaches ↗Ruizhe Ma, Ismaila Temitayo Sanusi, Vaishali Mahipal et al.52 citations
- Incorporating Ethics in Computing Courses ↗Jessie J. Smith, Blakeley H. Payne, Shamika Klassen et al.44 citations
- Cybersecurity Education in the Age of AI: Integrating AI Learning into Cybersecurity High School Curricula ↗Shuchi Grover, Brian Broll, Derek Babb42 citations
- Artificial Intelligence Literacy Research Field: A Bibliometric Analysis from 1989 to 2021 ↗Kamilla Tenório, Viktoriya Olari, Margarita Chikobava et al.37 citations
- Improving Student Motivation by Ungrading ↗Scott Spurlock33 citations
- Integrating Ethics into Computer Science Education ↗Trystan S. Goetze29 citations
- Prior Programming Experience: A Persistent Performance Gap in CS1 and CS2 ↗Giang Bui, Naaz Sibia, Angela Zavaleta Bernuy et al.22 citations
- Teaching Assistant Training: An Adjustable Curriculum for Computing Disciplines ↗Felix Muzny, Michael D. Shah22 citations
- Is More Better When Embedding Ethics in CS Courses? ↗Diane Horton, David Liu, Sheila A. McIlraith et al.21 citations
- Who Wins? A Comparison of Accessibility Simulation Games vs. Classroom Modules ↗Devorah Kletenik, Rachel F. Adler21 citations
- Decolonising Computer Science Education - A Global Perspective ↗Mawera Karetai, Samuel Mann, Dhammika Dave Guruge et al.20 citations
- Integrating Accessibility in a Mobile App Development Course ↗Jaskaran Singh Bhatia, P D Parthasarathy, Snigdha Tiwari et al.20 citations
- "This Applies to the Real World": Student Perspectives on Integrating Ethics into a Computer Science Assignment ↗Julie Jarzemsky, Joshua Paup, Casey L. Fiesler19 citations
- Computing Specializations: Perceptions of AI and Cybersecurity Among CS Students ↗Vidushi Ojha, Christopher Perdriau, Brent Lagesse et al.19 citations
- CS0 vs. CS1: ↗Emma Hogan, Ruoxuan Li, Adalbert Gerald Soosai Raj18 citations
- Goal-Congruity Theory Predicts Students' Sense of Belonging in Computing Across Racial/Ethnic Groups ↗Kathleen Isenegger, Kari L. George, Paul Bruno et al.18 citations
- Using Alternative Grading in a Non-Major Algorithms Course ↗Robbie Weber18 citations
- Mastery Learning with Specs Grading for Programming Courses ↗Ella Tuson, Timothy J. Hickey17 citations
- Plagiarism Deterrence in CS1 Through Keystroke Data ↗Kaden Hart, Chad D. Mano, John Edwards17 citations
- Students' Perceptions on Engaging Database Domains and Structures ↗Daphne Miedema, Toni Taipalus, Efthimia Aivaloglou17 citations
See all 166 papers in SIGCSE 2023 — accepted papers →
Papers with our summary in our library (1)
- Can Language Models Employ the Socratic Method? Experiments with Code DebuggingACM Technical Symposium on Computer Science Education (SIGCSE)Erfan Al-Hossami, Razvan Bunescu, Justin Smith, et al.2023 · 38 citations
Top topics
Language models & pretraining (1)
Fields
Top authors
🧑🔬Erfan Al-Hossami1 work here · 38 citations🧑🔬Razvan Bunescu1 work here · 38 citations🧑🔬Ryan Teehan1 work here · 38 citations
Top institutions
🎓University of North Carolina at CharlotteCharlotte ·
United States1 work here🎓New York UniversityNew York ·
United States1 work here
This page in Markdown → https://md.research.elamur.ai/free/en/venues/acm-technical-symposium-on-computer-science-education-sigcse/2023/