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Erschienen in: International Journal of Computer-Supported Collaborative Learning 2/2019

21.06.2019

Towards a micro-ecological approach to CSCL

verfasst von: Marcela Borge, Emma Mercier

Erschienen in: International Journal of Computer-Supported Collaborative Learning | Ausgabe 2/2019

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Abstract

In this paper, we argue that how we use theories may be preventing us from developing a deeper understanding of computer supported collaborative learning (CSCL) contexts. We focus the argument on our understanding of orchestration processes and draw on common theories to show how they prioritize a mono-ecological approach: the examination of collaborative processes at a single level of an ecological system. We argue that doing so prevents us from seeing the full complexity of the types of decisions that teachers and learners make when implementing collaborative learning activities in technologically enhanced, real-world contexts. To address this problem, we propose a micro-ecological framework that recognizes collaborative learning as a complex, cognitively nested, ecological phenomenon and analyzes interactions in a way that aligns with this view. Our approach focuses on the microanalysis of interactions between individuals, learning objects, the small group, and the classroom community. The purpose of this analysis is to identify critical points in the learning process where actions at one level of cognitive activity propagate to influence other levels of individual and joint activity. We call these events transecological disruptions. We argue that these disruptions can provide opportunities to understand how the learning ecology develops over time through teacher orchestration and learner engagement. To illustrate our framework, we pursue the following research question: “How can a micro-ecological framework help us better understand the CSCL ecology?”

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Metadaten
Titel
Towards a micro-ecological approach to CSCL
verfasst von
Marcela Borge
Emma Mercier
Publikationsdatum
21.06.2019
Verlag
Springer US
Erschienen in
International Journal of Computer-Supported Collaborative Learning / Ausgabe 2/2019
Print ISSN: 1556-1607
Elektronische ISSN: 1556-1615
DOI
https://doi.org/10.1007/s11412-019-09301-6

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