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...

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Publicado en:Computers in Human Behavior Vol. 28; no. 4; pp. 1321 - 1332
Autores principales: Schoor, Cornelia, Bannert, Maria
Formato: Artículo
Publicado: Elsevier B.V. Jul2012
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Jul2012
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      pub: Elsevier B.V.
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        74662165
        10.1016/j.chb.2012.02.016
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        atl: Exploring regulatory processes during a computer-supported collaborative learning task using process mining
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        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
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