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dc.contributor.authorKerrigan, Simon
dc.contributor.authorFeng, Shihuife
dc.contributor.authorVuthaluru, Rupa
dc.contributor.authorIfenthale, Dirk
dc.contributor.authorGibson, David
dc.identifier.citationKerrigan, S. and Feng, S. and Vuthaluru, R. and Ifenthale, D. and Gibson, D. 2019. Network Analytics of Collaborative Problem-Solving. In 16th International Conference on Cognition and Exploratory Learning in Digital Age (CELDA 2019), 7th Nov 2019, Cagliari, Italy.

Problem-solving and collaboration are regarded as an essential part of 21st Century Skills. This study describes a task-focused approach to network analysis of trace data from collaborative problem-solving in a digital learning environment. The analysis framework builds and expands upon previous analyses of social ties as well as discourse analysis and adds new metrics of collaborative learning, problem-solving and personal learning. Using three forms of evidence - actions and use of resources, communications and constructed products - the article outlines and illustrates a framework for characterising individual and team performance on a team project as a basis for documenting individual and team behaviours linked to personal learning, collaboration and team problem solving. This study provides a preliminary demonstration of the effectiveness of network analysis on quantifying and visualizing individual-level and group-level performance in computer-mediated collaborative learning.

dc.titleNetwork Analytics of Collaborative Problem-Solving
dc.typeConference Paper
dcterms.source.title16th International Conference on Cognition and Exploratory Learning in Digital Age, CELDA 2019
dcterms.source.conference-start-date7 Nov 2019
dcterms.source.conferencelocationCagliari, Italy
curtin.departmentSchool of Elec Eng, Comp and Math Sci (EECMS)
curtin.departmentLearning Analytics
curtin.accessStatusFulltext not available
curtin.facultyFaculty of Science and Engineering
curtin.facultyLearning Innovation and Teaching Excellence Centre
curtin.contributor.orcidGibson, David [0000-0003-1053-4690]
dcterms.source.conference-end-date9 Nov 2019
curtin.contributor.scopusauthoridGibson, David [35731134600]

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