Processing and visualizing data in complex learning environments

Thompson, Kate and Ashe, David and Carvalho, Lucila and Goodyear, Peter and Kelly, Nick and Parisio, Martin (2013) Processing and visualizing data in complex learning environments. American Behavioral Scientist, 57 (10). pp. 1401-1420. ISSN 0002-7642

Abstract

The ability to capture large amounts of data that describe the interactions of learners becomes useful when one has a framework in which to make sense of the processes of learning in complex learning environments. Through the analysis of such data, one is able to understand what is happening in these networks; however, deciding which elements will be of most interest in a specific learning context and how to process, visualize, and analyze large amounts of data requires the use of analytical tools that adequately support the phases of the research process. In this article, we discuss the selection, processing, visualization, and analysis of multiple elements of learning and learning environments and the links between them. We discuss, using the cases of two learning environments, how structure affects the behavior of learners and, in turn, how that behavior has the potential to affect learning. This approach will allow us to suggest possible ways of improving future designs of learning environments.


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Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Additional Information: © 2013 SAGE Publications. Published version deposited in accordance with the copyright policy of the publisher.
Faculty / Department / School: Historic - Australian Digital Futures Institute
Date Deposited: 22 Oct 2013 06:44
Last Modified: 23 Sep 2014 01:43
Uncontrolled Keywords: design for learning; learning analytics; learning environments; online learning; CSCL
Fields of Research : 01 Mathematical Sciences > 0104 Statistics > 010401 Applied Statistics
08 Information and Computing Sciences > 0807 Library and Information Studies > 080703 Human Information Behaviour
13 Education > 1303 Specialist Studies in Education > 130309 Learning Sciences
Socio-Economic Objective: C Society > 93 Education and Training > 9302 Teaching and Instruction > 930203 Teaching and Instruction Technologies
Identification Number or DOI: doi: 10.1177/0002764213479368
URI: http://eprints.usq.edu.au/id/eprint/24189

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