Can Pre-class GitHub Contributions Predict Success by Student Teams?

Author:

Cui Jialin1,Li Ruochi1,Lou Kaida1,Liu Chengyuan1,Xiao Yunkai1,Jia Qinjin1,Gehringer Edward1,Zhang Runqiu2

Affiliation:

1. North Carolina State University,Department of Computer Science,Raleigh,NC,USA

2. University of Virginia,Department of Statistics,Charlottesville,VA,USA

Publisher

IEEE

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A Comparative Analysis of GitHub Contributions Before and After An OSS Based Software Engineering Class;Proceedings of the 2024 on Innovation and Technology in Computer Science Education V. 1;2024-07-03

2. Utilizing the Constrained K-Means Algorithm and Pre-Class GitHub Contribution Statistics for Forming Student Teams;Proceedings of the 2024 on Innovation and Technology in Computer Science Education V. 1;2024-07-03

3. How Pre-class Programming Experience Influences Students' Contribution to Their Team Project: A Statistical Study;Proceedings of the 55th ACM Technical Symposium on Computer Science Education V. 1;2024-03-07

4. Students’ Perceptions on Adaptations and Workload Versus Artifacts in a Project-Based Scrum-Variant Course;IEEE Transactions on Education;2024

5. Correlating Students' Class Performance Based on GitHub Metrics: A Statistical Study;Proceedings of the 2023 Conference on Innovation and Technology in Computer Science Education V. 1;2023-06-29

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