Three interaction patterns on asynchronous online discussion behaviours: A methodological comparison.

An asynchronous online discussion (AOD) is one format of instructional methods that facilitate student-centered learning. In the wealth of AOD research, this study evaluated how students' behavior on AOD influences their academic outcomes. This case study compared the differential analytic methods i...

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Publicado en:Journal of Computer Assisted Learning Vol. 33; no. 2; pp. 106 - 123
Autores principales: Jo, I., Park, Y., Lee, H.
Formato: research tables/charts Journal Article
Publicado: Wiley-Blackwell Apr2017
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Apr2017
      vid: 33
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      pub: Wiley-Blackwell
      place: Malden, Massachusetts
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        10.1111/jcal.12168
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        atl: Three interaction patterns on asynchronous online discussion behaviours: A methodological comparison.
      aug:
        au:
          Jo, I.
          Park, Y.
          Lee, H.
        affil: Institute for Teaching and Learning, Honam University, South Korea
      sug:
        subj:
          Online Services
          Interpersonal Relations Evaluation
          Computer-Assisted Instruction
          Curriculum
          Internet
          Students
          Human
          Content Analysis
          Social Networks
          Data Analysis Software
          kappa Statistic
          Descriptive Statistics
          Regression
          Funding Source
      ab: An asynchronous online discussion (AOD) is one format of instructional methods that facilitate student-centered learning. In the wealth of AOD research, this study evaluated how students' behavior on AOD influences their academic outcomes. This case study compared the differential analytic methods including web log mining, social network analysis and content analysis which were selected by three interaction patterns: person to system (P2S), person to person (P2P) and person to content (P2C) interaction. Forty-three undergraduate students participated in an online discussion forum for 12 weeks. Multiple regression analyses with the predictor variables from P2S, P2P and P2C and with a criterion variable of a final grade indicated several interesting findings. For P2S analysis, visits on board (VOB) had a significant variable to predict final grades. Also, the result of P2P analysis proved that in-degree and out-degree centrality predicted final grades. The P2C results based on cognitive presence represent that students' messages were mostly affiliated to the exploration and integration levels and also predicted the final grades. This study ultimately demonstrated the effectiveness of using multiple analytic methodologies to address and facilitate students' participation at AOD.
      pubtype: Academic Journal
      doctype:
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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