Collocated, embodied teamwork remains a critical part of many professions. The Human-Centred Teamwork Analytics project is using multimodal activity traces (e.g., location, movement, speech, actions) to assist the formative assessment and improvement of collocated teamwork among nursing students.
The Human-Centred Teamwork Analytics project has made embodied student teamwork ‘visible’ to the simulation ward through state of the art Learning Analytics and Generative AI. Salient features of a team’s interaction during a nursing simulation are captured and visualised in ways that are meaningful to both educators and students. The feedback design is co-designed with the stakeholders, is grounded in learning and teamwork theory, and generated automatically to assist team debriefing by the instructor immediately after an exercise.
The project funded by the Australian Research Council (DP210100060, 2021-24), was led by Monash University (PI: Dragan Gasevic), building on the extensive work with UTS Health Faculty led by Roberto Martinez-Maldonado when he was a CIC postdoctoral research fellow, who with Simon Buckingham Shum co-supervised two PhD projects by Vanessa Echeverria and Gloria Fernandez-Nieto.
The videos bring this alive… Kick off with this introductory video we shot with UTS Health Faculty colleagues (during lockdown!):
This 2025 video shows how far this work evolved — the instructor can debrief the students immediately after, using a dynamically generated set of reflective visualizations that they can selectively project:
Learn more…
The main project website is TeamworkAnalytics.net where you will find details of the team, latest news and all our research publications detailing the pedagogical design rationale, participatory co-design process, and empirical studies of successive prototypes in action. Here’s a selection:
Echeverria, V., Zhao, L., Alfredo, R., Milesi, M. E., Jin, Y., Abel, S., Fan, J. X., Yan, L., Dix, S., Wotherspoon, R., Li, X., Jaggard, H. A., Osborne, A., Buckingham Shum, S., Gasevic, D. and Martinez-Maldonado, R. (2025), TeamVision: An AI-powered Learning Analytics System for Supporting Reflection in Team-based Healthcare Simulation. In Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery.
Alfredo, R., Milesi, M., Echeverria, V., Gašević, D., Buckingham Shum, S., Zhao, L., Yan, L., Jin, Y., Fan, J. X., Pammer-Schindler, V., Swiecki, Z., & Martinez-Maldonado, R. (2025). Co-designing AI-powered learning analytics: bringing students and teachers together. International Journal of Educational Technology in Higher Education, 22(1), 28 pages.
Yan, L., Zhao, L., Echeverria, V., Jin, Y., Alfredo, R., Li, X., Gaševi’c, D., & Martinez-Maldonado, R. (2024). VizChat: Enhancing Learning Analytics Dashboards with Contextualised Explanations Using Multimodal Generative AI Chatbots Cham.
Yan, L., Zhao, L., Echeverria, V., Jin, Y., Alfredo, R., Li, X., Gaševi’c, D., & Martinez-Maldonado, R. (2024). VizChat: Enhancing Learning Analytics Dashboards with Contextualised Explanations Using Multimodal Generative AI Chatbots. In Proc. AIED 2024: Artificial Intelligence in Education (pp. 180-193). Springer Nature Switzerland.