Abstract
This paper seeks to contribute to the emerging field of Quantitative Ethnography (QE) by demonstrating its utility to solve a complex challenge in Learning Analytics: the provision of timely feedback to collocated teams and their coaches. We define two requirements that extend the QE concept in order to operationalise it such a design process, namely, the use of co-design methodologies, and the availability of automated analytics workflow to close the feedback loop. We introduce the Multimodal Matrix as a data modelling approach that can integrate theoretical concepts about teamwork with contextual insights about specific work practices, enabling the analyst to map between higher order codes and low-level sensor data, with the option add the results of manually performed analyses. This is implemented in software as a workflow for rapid data modelling, analysis and interactive visualisation, demonstrated in the context of nursing teamwork simulations. We propose that this exemplifies how a QE methodology can underpin collocated activity analytics, at scale, with in-principle applications to embodied, collocated activities beyond our case study.
Original language | English |
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Title of host publication | Advances in Quantitative Ethnography |
Subtitle of host publication | First International Conference, ICQE 2019 Madison, WI, USA, October 20–22, 2019 Proceedings |
Editors | Brendan Eagan, Morten Misfeldt, Amanda Siebert-Evenstone |
Place of Publication | Cham Switzerland |
Publisher | Springer |
Pages | 26-40 |
Number of pages | 15 |
ISBN (Electronic) | 9783030332327 |
ISBN (Print) | 9783030332310 |
DOIs | |
Publication status | Published - 2019 |
Externally published | Yes |
Event | International Conference on Quantitative Ethnography 2019 - The Pyle Center, University of Wisconsin-Madison, Madison, United States of America Duration: 20 Oct 2019 → 22 Oct 2019 Conference number: 1st http://icqe19.org/ https://link.springer.com/book/10.1007/978-3-030-33232-7 (Proceedings) http://icqe19.org (Website) |
Publication series
Name | Communications in Computer and Information Science |
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Publisher | Springer |
Volume | 1112 |
ISSN (Print) | 1865-0929 |
ISSN (Electronic) | 1865-0937 |
Conference
Conference | International Conference on Quantitative Ethnography 2019 |
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Abbreviated title | ICQE 2019 |
Country/Territory | United States of America |
City | Madison |
Period | 20/10/19 → 22/10/19 |
Internet address |
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Keywords
- CSCL
- Learning analytics
- Multimodal
- Sense making
- Teamwork