Quality of Collaborative Learning Discovered by Data Mining and Visualization

As collaborative work becomes increasingly important in various fields, cultivating teamwork skills is crucial for students' growth and future professional development. This study investigates the impact of team allocation methods on student teamwork in the context of software engineering projects and explored how teachers can provide targeted guidance to fully utilize the strengths and advantages of team members. We use statistical analysis of assignment scores and data visualization techniques for survey questionnaires to understand the dynamics of team allocation and its impact on academic performance and teamwork experience. Our research findings indicate that students in self-organized teams not only outperform teams assigned by teachers, but also demonstrate excellent team cohesion, communication, and collaborative experiences. Therefore, educators should encourage students to form their own teams and track team dynamics in a timely manner to enhance the learning experience.