An analysis framework for collaborative problem solving in practice-based learning activities : A mixed-method approach

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An analysis framework for collaborative problem solving in practice-based learning activities : A mixed-method approach

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Publication Paper in proceeding
Title An analysis framework for collaborative problem solving in practice-based learning activities : A mixed-method approach
Author Cukurova, Mutlu ; Avramides, Katerina ; Spikol, Daniel ; Luckin, Rose ; Mavrikis, Manolis
Research Centre Internet of Things and People Research Centre (IOTAP)
Date 2016
English abstract
Systematic investigation of the collaborative problem solving process in open-ended, hands-on, physical computing design tasks requires a framework that highlights the main process features, stages and actions that then can be used to provide 'meaningful' learning analytics data. This paper presents an analysis framework that can be used to identify crucial aspects of the collaborative problem solving process in practice-based learning activities. We deployed a mixed-methods approach that allowed us to generate an analysis framework that is theoretically robust, and generalizable. Additionally, the framework is grounded in data and hence applicable to real-life learning contexts. This paper presents how our framework was developed and how it can be used to analyse data. We argue for the value of effective analysis frameworks in the generation and presentation of learning analytics for practice-based learning activities.
Conference
LAK 16 Sixth International Learning Analytics & Knowledge Conference (April 25 - 29, 2016  : Edinburgh, United Kingdom)
DOI https://doi.org/10.1145/2883851.2883900 (link to publisher's fulltext.)
Publisher ACM
Host/Issue Proceedings of LAK '16 6th International Conference on Learning Analytics and Knowledge;
ISBN 978-1-4503-4190-5
Language eng (iso)
Subject Collaborative learning
problem solving
practice-based learning
analysis framework
Technology
Research Subject Categories::TECHNOLOGY
Handle http://hdl.handle.net/2043/24110 Permalink to this page
Link http://lak16.solaresearch.org/... (external link to related web page)
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