The effects of pair-programming on performance in an introductory programming course
SIGCSE '02 Proceedings of the 33rd SIGCSE technical symposium on Computer science education
Social Network Analysis Used for Modelling Collaboration in Distance Learning Groups
ITS '02 Proceedings of the 6th International Conference on Intelligent Tutoring Systems
Collaborative Technology and New e-Pedagogy
ICALT '04 Proceedings of the IEEE International Conference on Advanced Learning Technologies
Proceedings of the 6th ACM SIGCHI conference on Creativity & cognition
Analyzing Work Productivity and Program Quality in Collaborative Programming
ICSEA '08 Proceedings of the 2008 The Third International Conference on Software Engineering Advances
NCM '09 Proceedings of the 2009 Fifth International Joint Conference on INC, IMS and IDC
TwitterRank: finding topic-sensitive influential twitterers
Proceedings of the third ACM international conference on Web search and data mining
Computational Social Network Analysis: Trends, Tools and Research Advances
Computational Social Network Analysis: Trends, Tools and Research Advances
Code camp: a setting for collaborative learning of programming
Advanced Technology for Learning
What is Twitter, a social network or a news media?
Proceedings of the 19th international conference on World wide web
Collaborative learning in a wiki environment: experiences from a software engineering course
The New Review of Hypermedia and Multimedia - Special issue: Observing users of digital educational technologies
Integrating computer-supported collaborative learning into the classroom: the anatomy of a failure
Journal of Computer Assisted Learning
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Collaboration has become an important teaching method in software engineering and there are several computer supported collaboration tools to aid the development and learning process. However, most studies have concentrated on intra-group studies. We believe that computer supported collaborative learning tools can also aid software engineering students to have beneficial inter-group collaboration. In this research the communication patterns in three collaborative software engineering courses were analyzed with the method of social network analysis. It was found out that students do collaborate, but mostly along pre-established social connections. The main reason for this was the difficulty in matchmaking and discovering others who were struggling with the same problems. Our proposal is to study how students in similar learning scenarios benefit from computer supported collaborative tools that increase networking opportunities. The findings presented in this paper provide a baseline for comparison when performing social network analysis in future studies.