TeamVision : An AI-powered Learning Analytics System for Supporting Reflection in Team-based Healthcare Simulation

要旨

Healthcare simulations help learners develop teamwork and clinical skills in a risk-free setting, promoting reflection on real-world practices through structured debriefs. However, despite video's potential, it is hard to use, leaving a gap in providing concise, data-driven summaries for supporting effective debriefing. Addressing this, we present TeamVision, an AI-powered multimodal learning analytics (MMLA) system that captures voice presence, automated transcriptions, body rotation, and positioning data, offering educators a dashboard to guide debriefs immediately after simulations. We conducted an in-the-wild study with 56 teams (221 students) and recorded debriefs led by six teachers using TeamVision. Follow-up interviews with 15 students and five teachers explored perceptions of its usefulness, accuracy, and trustworthiness. This paper examines: i) how TeamVision was used in debriefing, ii) what educators found valuable/challenging, and iii) perceptions of its effectiveness. Results suggest TeamVision enables flexible debriefing and highlights the challenges and implications of using AI-powered systems in healthcare simulation.

著者
Vanessa Echeverria
Monash University, Clayton, Australia
Linxuan Zhao
Monash university, Melbourne, VIC, Australia
Riordan Alfredo
Monash University, Melbourne, Victoria, Australia
Mikaela Elizabeth. Milesi
Monash University, Melbourne, Australia
Yueqiao Jin
Monash University, Clayton, Victoria, Australia
Sophie Abel
Macquarie University, North Ryde, Australia
Jie Xiang Fan
Monash University, Melbourne, Victoria, Australia
Lixiang Yan
Monash University, Clayton, Victoria, Australia
Samantha Dix
Monash University, Frankston, VIC, Australia
Rosie Wotherspoon
Monash University, Frankston, VIC, Australia
Xinyu Li
Monash University, Clayton, Victoria, Australia
Hollie A. Jaggard
Monash University, Frankston, VIC, Australia
Abra Osborne
Monash University, Frankston, VIC, Australia
Simon Buckingham Shum
University of Technology Sydney, Sydney, New South Wales, Australia
Dragan Gasevic
Monash University, Clayton, Victoria, Australia
Roberto Martinez-Maldonado
Monash University, Melbourne, Victoria, Australia
DOI

10.1145/3706598.3713395

論文URL

https://dl.acm.org/doi/10.1145/3706598.3713395

動画

会議: CHI 2025

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2025.acm.org/)

セッション: Digital Health and Well-being

G302
6 件の発表
2025-04-30 23:10:00
2025-05-01 00:40:00
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