Investigating the evolution of effective teams among middle school students: insights from real-time collaborative learning

Collaborative learning groups often struggle to foster effective collaboration and evolve into effective teams. This study explores how group interactions influence the formation of positive, well-functioning teams in computer-supported collaborative learning. Data from 3,103 discussion messages among 90 senior high school students were analyzed in real-time collaborative contexts. Interaction patterns were compared across dyads, groups of four to five students, and groups of six students using a mixed-method approach combining content analysis and social network analysis (SNA). The findings revealed that group size and role distribution significantly impacted interaction frequency, network structure, and outcomes. Groups of four to five students, particularly those with a defined leader and fewer outsiders, demonstrated more positive interactions, including frequent presentations, questioning, and minimal irrelevant discussions. These groups were most likely to evolve into cohesive, high-performing teams. Notably, group conflict emerged as a critical factor in enhancing team cohesion, serving as a pivotal interaction point in the transition to effective teams. These insights highlight the importance of optimal group size and role composition in collaborative learning. The findings provide practical strategies for teachers to assign groups and guide their evolution into cohesive teams, promoting more effective collaboration and learning outcomes.