The Multimodal Matrix as a Quantitative Ethnography Methodology

The Multimodal Matrix as a Quantitative Ethnography Methodology

Written by Simon Buckingham Shum, Vanessa Echeverria, Roberto Martinez-Maldonado - Part of the International Conference on Quantitative Ethnography


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 operationalize 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 modeling 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 modeling, analysis, and interactive visualization, 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."


Keywords: Multimodal, Learning analytics, Teamwork, CSCL, Sense making


You'll find it here: https://link.springer.com/chapter/10.1007/978-3-030-33232-7_3

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