Analysis of Collaborative Work through Conversational Patterns

This research analyzed collaborative work through conversational patterns in remote learning environments, conducted in the Living Lab of the Institute of the Future for Education at Tecnológico de Monterrey. A workshop involving voluntary student participation from various disciplines was implemented, utilizing the Oragamachi MARS Simulator by MIT to study team dynamics during a 45 -minute session. Technical setups and structured experiment protocols ensured consistent data collection via Zoom recordings, surveys, and in-game interactions. Results indicated significant variability in conversational metrics across teams, highlighting that balanced participation and diverse vocabulary were linked to better energy use, whereas higher unique word count and speaking times correlated with increased site utilization. The findings emphasize the importance of balanced communication and linguistic diversity in enhancing team performance and cohesion, demonstrating the potential of multimodal learning analytics to provide meaningful feedback and optimize collaborative learning in virtual environments.