2021
DOI: 10.1016/j.edurev.2021.100387
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Abstract: To better understand the premises for successful computer-supported collaborative learning (CSCL), several studies over the last 10 years have analysed the temporal aspects of CSCL. We broadly define the temporal aspects of CSCL as focusing on the characteristics of or interrelations between events over time. The analysis of these aspects, however, has been loosely defined, creating challenges regarding the comparability and commensurability of studies. To address these challenges, we conducted a systematic li… Show more

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Cited by 13 publications
(11 citation statements)
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References 80 publications
(99 reference statements)
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“…When manually reviewing the literature on the temporal aspects of CSCL in February 2019 (see Lämsä et al, 2021), we carefully selected the search terms concerning temporality, collaborative learning, and computer-supported learning. We used the Education Resources Information Center (ERIC), Scopus, and Web of Science databases and identified 436 articles, of which we manually screened and assessed their eligibility.…”
Section: Methodsmentioning
confidence: 99%
“…We illustrate the potential of our innovative method in the context of research focusing on the temporal analysis of computer-supported collaborative learning (CSCL). This field of research forms a particularly promising basis for studying its progress because the studies focusing on the temporal aspects of CSCL are increasingly being published and involve interdisciplinary collaboration (e.g., Hadwin, 2021;Lämsä et al, 2021).…”
Section: Introductionmentioning
confidence: 99%
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“…Various methods are applied for analyzing processes and temporality in collaborative learning and CPS studies (for an overview, see Lämsä et al, 2021a;Reimann, 2009Reimann, , 2021. For example, in epistemic network analysis (ENA), which is a discourse analysis technique that models the temporal co-occurrences of codes in discourse, temporality is studied by focusing on the recent temporal context and immediate events of CPS in the groups (e.g., Andrist et al, 2018;Csanadi et al, 2018;Swiecki et al, 2020;Williamson Shaeffer, 2017).…”
Section: Applying Analysis Methods Triangulation For Capturing Various Layers Of Cps As a Group-level Enactmentmentioning
confidence: 99%