Exploring collaborative problem solving in virtual laboratories: a perspective of socially shared metacognition

dc.authorid0000-0002-8846-7654
dc.contributor.authorTang, Hengtao
dc.contributor.authorArslan, Okan
dc.contributor.authorXing, Wanli
dc.contributor.authorKamalı-Arslantaş, Tuğba
dc.date.accessioned2022-06-20T06:45:16Z
dc.date.available2022-06-20T06:45:16Z
dc.date.issued2023
dc.departmentEğitim Fakültesi
dc.description.abstractSciVal Topics Metrics Abstract Socially shared metacognition is important for effective collaborative problem solving in virtual laboratory settings, A holistic account of socially shared metacognition in virtual laboratory settings is needed to advance our understanding, but previous studies have only focused on the isolated effect of each dimension on problem solving. This study thus applied learning analytics techniques to develop a comprehensive understanding of socially shared metacognition during collaborative problem solving in virtual laboratories. We manually coded 126 collaborative problem-solving scenarios in a virtual physics laboratory and then employed K-Means clustering analysis to identify patterns of socially shared metacognition. Four clusters were discovered. Statistical analysis was performed to investigate how the clusters were associated with the outcome of collaborative problem solving and also how they related to the difficulty level of problems. The findings of this study provided theoretical implications to advance the understanding of socially shared metacognition in virtual laboratory settings and also practical implications to foster effective collaborative problem solving in those settings.
dc.identifier.doi10.1007/s12528-022-09318-1
dc.identifier.endpage-en_US
dc.identifier.issn1042-1726
dc.identifier.issue-en_US
dc.identifier.scopusqualityQ1
dc.identifier.startpage-en_US
dc.identifier.urihttps:/dx.doi.org/10.1007/s12528-022-09318-1
dc.identifier.urihttps://hdl.handle.net/20.500.12451/9436
dc.identifier.volume-en_US
dc.identifier.wosWOS:000797283600001
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherSpringer
dc.relation.ispartofJournal of Computing in Higher Education
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/embargoedAccess
dc.subjectCollaborative Problem Solving
dc.subjectEpisodes
dc.subjectLearning Analytics
dc.subjectSocially Shared Metacognition
dc.subjectVirtual Laboratory
dc.titleExploring collaborative problem solving in virtual laboratories: a perspective of socially shared metacognition
dc.typeArticle

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