Zur Kurzanzeige

dc.date.accessioned2023-11-22T14:29:58Z
dc.date.available2023-11-22T14:29:58Z
dc.date.issued2023-08-03
dc.identifierdoi:10.17170/kobra-202311229059
dc.identifier.urihttp://hdl.handle.net/123456789/15205
dc.description.sponsorshipGefördert durch den Publikationsfonds der Universität Kasselger
dc.language.isoeng
dc.rightsNamensnennung 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectcooperative learningeng
dc.subjecttransactive interactioneng
dc.subjectMarkov chainseng
dc.subjectsequential analysiseng
dc.subjectinteraction patternseng
dc.subject.ddc370
dc.titleAn Exploratory Analysis of Transactive Interaction Patterns in Cooperative Learning Using Sequential Analysiseng
dc.typeAufsatz
dcterms.abstractFor cooperative learning to be effective, the quality of student–student interaction is crucial. Interactions, which are transactive in nature, are positively related to students’ learning success during cooperative learning. However, little is known about typical interaction patterns during transactive interaction in face-to-face cooperative learning. Therefore, the current study aims to analyze typical interaction patterns of transactive interaction in cooperative learning. Sixty-eight students from seventh to tenth grade were randomly assigned to a total of 23 groups in their classes. The groups were videotaped while solving the same open-ended mathematical modelling task. The interaction behavior was coded, and interaction patterns were analyzed using sequential analysis with first- and second-order Markov chains. The results indicate that the likelihood that students confirm and pick up correct proposals is relatively high, indicating transactive interaction. However, it is almost equally likely that incorrect proposals are confirmed erroneously, as students barely correct them. Still, students do frequently engage in transactive interaction by discussing incorrect proposals, even though these discussions rarely lead to correct solution approaches. Limitations of these results, as well as the practical implications for cooperative learning in classroom settings, are discussed.eng
dcterms.accessRightsopen access
dcterms.creatorNemeth, Lea
dcterms.creatorBlumenfeld, Tim
dcterms.creatorDenn, Ann-Katrin
dcterms.creatorHirstein, Anastasia
dcterms.creatorLipowsky, Frank
dcterms.extent20 Seiten
dc.relation.doidoi:10.3390/educsci13080790
dc.subject.swdMarkov-Modellger
dc.subject.swdKooperatives Lernenger
dc.subject.swdVerhaltensmusterger
dc.subject.swdSequentialanalyseger
dc.type.versionpublishedVersion
dcterms.source.identifiereissn:2227-7102
dcterms.source.issueIssue 8
dcterms.source.journalEducation Scienceseng
dcterms.source.volumeVolume 13
kup.iskupfalse
dcterms.source.articlenumber790
ubks.epflichttrue


Dateien zu dieser Ressource

Thumbnail
Thumbnail

Das Dokument erscheint in:

Zur Kurzanzeige

Namensnennung 4.0 International
Solange nicht anders angezeigt, wird die Lizenz wie folgt beschrieben: Namensnennung 4.0 International