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Abstract: "This paper presents data analysis from a course on Software Engineeri ng in an effort to identify metric s and techniques that would allow instructor to act proactively and identify patterns of low engagement and inefficient peer collaboration . Over the last two terms, 106 students in their second year of studies formed 20 groups and worked collaboratively to develop video games. Throughout the lab, students have to use a variety of tools for managing and developing their projects, such as software version control , static analysis tools , wikis, mailing lists, etc . The students are also supported by weekly meet ings with teaching assistants and instructors regarding group progress, code quality, and management issues. Through these meeting s and their interactions with the software tools, students leave a detailed trace of data related to their individual engageme nt and their collaboration behavior in their groups . The paper provides discussion on the different source of data that can be monitored , and present preliminary results on how the s e data can be used to analyze students' activity."