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This content will become publicly available on June 10, 2026

Title: Leveraging AI for automated evaluation of closed-loop communication in VR-based acute care team training
Simulation-based learning has become a cornerstone of healthcare education, fostering essential skills like communication, teamwork or decision-making in safe, controlled environments. However, participants’ reflection on simulations often rely on subjective recollections, limiting their effectiveness in promoting learning. This symposium explores how multimodal analytics and AI can enhance simulation-based education by automating teamwork analysis data, providing structured feedback, and supporting reflective practices. The papers examine real-time analytics for closed-loop communication in cardiac arrest simulations, multimodal data use to refine feedback in ICU nursing simulations, generative AI-powered chatbots facilitating nursing students' interpretation of multimodal learning analytics dashboards, and culturally sensitive, AI-based scenarios for Breaking Bad News in an Indian context. Collectively, these contributions highlight the transformative potential of using data and AI-enhanced solutions, emphasizing personalization, cultural sensitivity, and human-centered design, and invite dialogue on the pedagogical, technological and ethical implications of introducing data-based practices and AI-based tools in medical education.  more » « less
Award ID(s):
2202451
PAR ID:
10603867
Author(s) / Creator(s):
; ; ; ; ; ;
Publisher / Repository:
Proceedings of the 18th International Conference on Computer-Supported Collaborative Learning - CSCL 2025. Helsinki, Finland: International Society of the Learning Sciences.
Date Published:
Journal Name:
Computersupported collaborative learning
ISSN:
2543-0157
ISBN:
979-8-9906980-4-8
Subject(s) / Keyword(s):
Oshima, J. Chen, B Vogel, F Järvelä, J.
Format(s):
Medium: X
Location:
Helsinki, Finland
Sponsoring Org:
National Science Foundation
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