Abstract
Providing immediate, effective feedback on team and individual performance in healthcare simulations is a challenging task for educators, such is their complexity. Focusing on emergency procedures on patient manikins, our prior work has demonstrated the feasibility of using multimodal data capture and analysis to generate visualisations of student movement, talk and treatment actions. The limitation to date has been the need for manual steps in the analytic workflow. This paper documents how we have automated several key steps, using new technologies, which were piloted during a nursing simulation. Combining role-based nurses’ movement data with high fidelity manikin logs, we have implemented a zone-based classification model, and are able to automatically visualise movements within an emergency response team, providing the data needed to design near real-time feedback for both educators and students.
Original language | English |
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Title of host publication | Artificial Intelligence in Education |
Subtitle of host publication | 19th International Conference, AIED 2018 London, UK, June 27–30, 2018 Proceedings, Part II |
Editors | Carolyn Penstein Rosé, Roberto Martinez-Maldonado, H. Ulrich Hoppe, Rose Luckin, Manolis Mavrikis, Kaska Porayska-Pomsta, Bruce McLaren, Benedict du Boulay |
Place of Publication | Cham Switzerland |
Publisher | Springer |
Pages | 74-78 |
Number of pages | 5 |
ISBN (Electronic) | 9783319938462 |
ISBN (Print) | 9783319938455 |
DOIs | |
Publication status | Published - 2018 |
Externally published | Yes |
Event | International Conference on Artificial Intelligence in Education 2018 - London, United Kingdom Duration: 27 Jun 2018 → 30 Jun 2018 Conference number: 19th https://link-springer-com.ezproxy.lib.monash.edu.au/book/10.1007/978-3-319-93843-1 (Link to Proceedings - Part I) https://link.springer.com/book/10.1007/978-3-319-93846-2 (Link to Proceedings - Part II) |
Publication series
Name | Lecture Notes in Computer Science |
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Publisher | Springer |
Volume | 10948 |
ISSN (Print) | 0302-9743 |
ISSN (Electronic) | 1611-3349 |
Conference
Conference | International Conference on Artificial Intelligence in Education 2018 |
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Abbreviated title | AIED 2018 |
Country/Territory | United Kingdom |
City | London |
Period | 27/06/18 → 30/06/18 |
Internet address |
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Keywords
- Analytics
- Collaboration
- Localisation
- Movement
- Teamwork