Exploring regulatory processes during a computer-supported collaborative learning task using process mining
Abstract: The purpose of this study was to explore sequences of social regulatory processes during a computer-supported collaborative learning task and their relationship to group performance. Analogous to self-regulation during individual learning, we conceptualized social regulation both as indivi...
| Publicado en: | Computers in Human Behavior Vol. 28; no. 4; pp. 1321 - 1332 |
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| Autores principales: | , |
| Formato: | Artículo |
| Publicado: |
Elsevier B.V.
Jul2012
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=74662165&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 74662165 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 07475632 JC4 jtl: Computers in Human Behavior issn: 07475632 maglogo: N pubinfo: dt: Jul2012 vid: 28 iid: 4 pid: 2410 pub: Elsevier B.V. artinfo: ui: 74662165 10.1016/j.chb.2012.02.016 ppf: 1321 ppct: 11 formats: tig: atl: Exploring regulatory processes during a computer-supported collaborative learning task using process mining aug: au: Schoor, Cornelia Bannert, Maria affil: Psychology of Learning and Instruction, Institute of Psychology 4, TU Dresden, 01062 Dresden, Germany Institute of Human-Computer-Media, Educational Media, University of Wuerzburg, Campus Hubland Nord, Oswald-Külpe-Weg 82, 97074 Wuerzburg, Germany su: Motivation (Psychology) Empirical research Computer assisted instruction Interprofessional relations Social skills Group process Collaborative learning Data mining Mathematical sequences Mathematical models Computers in education Learning strategies sug: subj: Motivation (Psychology) Empirical research Computer assisted instruction Interprofessional relations Social skills Group process Collaborative learning Data mining Mathematical sequences Mathematical models Computers in education Learning strategies keyword: Computer-supported collaborative learning Process mining Research methods Self-regulated learning Social regulation Computer-supported collaborative learning Process mining Research methods Self-regulated learning Social regulation ab: Abstract: The purpose of this study was to explore sequences of social regulatory processes during a computer-supported collaborative learning task and their relationship to group performance. Analogous to self-regulation during individual learning, we conceptualized social regulation both as individual and as collaborative activities of analyzing, planning, monitoring and evaluating cognitive and motivational aspects during collaborative learning. We analyzed the data of 42 participants working together in dyads. They had 90min to develop a common handout on a statistical topic while communicating only via chat and common editor. The log files of chat and editor were coded regarding activities of social regulation. Results show that participants in dyads with higher group performance (N =20) did not differ from participants with lower group performance (N =22) in the frequencies of regulatory activities. In an exploratory way, we used process mining to identify process patterns for high versus low group performance dyads. The resulting models show clear parallels between high and low achieving dyads in a double loop of working on the task, monitoring, and coordinating. Moreover, there are no major differences in the process of high versus low achieving dyads. Both results are discussed with regard to theoretical and empirical issues. Furthermore, the method of process mining is discussed. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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