GA2Graph: A Data-Driven Approach to Visualizing and Analyzing Collaborative Learning

This innovative practice full paper describes an approach to visualizing and analyzing collaborative learning. Collaborative learning is vital for enriching computer science education and developing key skills. However, educators often lack tools for effectively tracking and analyzing student engagement in group work. Our study introduces GA2Graph, a data-driven system that uses Ne04j to visualize and analyze online collaborative patterns in classroom activities. It graphically represents students and their interactions, helping educators understand group dynamics. We tested this system in a large-enrollment database course, revealing that despite emphasis on assigned roles like those in POGIL, students frequently disregarded them and adopted more individualistic or varied collaborative strategies.