Quantitative Multimodal Interaction Analysis for the assessment of problem-solving skills in a collaborative online game

Andrade, Alejandro, Maddox, Bryan, Edwards, David, Chopade, Pravin and Khan, Saad (2019) Quantitative Multimodal Interaction Analysis for the assessment of problem-solving skills in a collaborative online game. In: Advances in Quantitative Ethnography - 1st International Conference, ICQE 2019, Proceedings. Communications in Computer and Information Science . Springer, USA, pp. 281-290. ISBN 9783030332310

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Abstract

We propose a novel method called Quantitative Multimodal Interaction Analysis to understand the meaning of interactions from a set of multimodal observable behavior. We apply this method for the measurement of collaborative problem-solving skills in a dyadic online game specially designed for this purpose. We outline our assumptions and describe the machine learning approach that help us tag multimodal behaviors connecting the theoretical construct with the empirical evidence.

Item Type: Book Section
Uncontrolled Keywords: collaborative problem-solving skills,interaction analysis,multimodal learning analytics,computer science(all),mathematics(all) ,/dk/atira/pure/subjectarea/asjc/1700
Faculty \ School: Faculty of Social Sciences > School of Education and Lifelong Learning
Faculty of Science
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Depositing User: LivePure Connector
Date Deposited: 20 Feb 2020 02:36
Last Modified: 09 Sep 2020 00:19
URI: https://ueaeprints.uea.ac.uk/id/eprint/74254
DOI: 10.1007/978-3-030-33232-7_24

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