TY - GEN
T1 - Code Collaborate
T2 - 21st International Conference on Information Technology Based Higher Education and Training, ITHET 2024
AU - Berrezueta-Guzman, Santiago
AU - Bassner, Patrick
AU - Wagner, Stefan
AU - Krusche, Stephan
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - Understanding collaboration patterns in introductory programming courses is essential, as teamwork is a critical skill in computer science. In professional environments, software development relies on effective teamwork, navigating diverse perspectives, and contributing to shared goals. This paper offers a comprehensive analysis of the factors influencing team efficiency and project success, providing actionable insights to enhance the effectiveness of collaborative programming education. By analyzing version control data, survey responses, and performance metrics, the study highlights the collaboration trends that emerge as first-semester students develop a 2D game project. Results indicate that students often slightly overestimate their contributions, with more engaged individuals more likely to acknowledge mistakes. Team performance shows no significant variation based on nationality or gender composition, though teams that disbanded frequently consisted of 'lone wolves,' high-lighting collaboration challenges and the need for strengthened teamwork skills. Presentations closely reflected individual project contributions, with active students excelling in evaluative questioning and performing better on the final exam. Additionally, the complete absence of plagiarism underscores the effectiveness of proactive academic integrity measures, reinforcing honest collaboration in educational settings.
AB - Understanding collaboration patterns in introductory programming courses is essential, as teamwork is a critical skill in computer science. In professional environments, software development relies on effective teamwork, navigating diverse perspectives, and contributing to shared goals. This paper offers a comprehensive analysis of the factors influencing team efficiency and project success, providing actionable insights to enhance the effectiveness of collaborative programming education. By analyzing version control data, survey responses, and performance metrics, the study highlights the collaboration trends that emerge as first-semester students develop a 2D game project. Results indicate that students often slightly overestimate their contributions, with more engaged individuals more likely to acknowledge mistakes. Team performance shows no significant variation based on nationality or gender composition, though teams that disbanded frequently consisted of 'lone wolves,' high-lighting collaboration challenges and the need for strengthened teamwork skills. Presentations closely reflected individual project contributions, with active students excelling in evaluative questioning and performing better on the final exam. Additionally, the complete absence of plagiarism underscores the effectiveness of proactive academic integrity measures, reinforcing honest collaboration in educational settings.
KW - Collaborative programming
KW - computer science education
KW - computer-supported collaborative learning
KW - peer learning
KW - problem-based learning
KW - project management in education
KW - teamwork in education
UR - http://www.scopus.com/inward/record.url?scp=85218107620&partnerID=8YFLogxK
U2 - 10.1109/ITHET61869.2024.10837659
DO - 10.1109/ITHET61869.2024.10837659
M3 - Conference contribution
AN - SCOPUS:85218107620
T3 - 2024 21st International Conference on Information Technology Based Higher Education and Training, ITHET 2024
BT - 2024 21st International Conference on Information Technology Based Higher Education and Training, ITHET 2024
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 6 November 2024 through 8 November 2024
ER -