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Coding procedures to analyse interaction patterns in educational Web forums.

Analysis of interaction patterns is one of the most important indicators of quality of learning in educational Web forums. Social network analysis (SNA) is gradually assuming importance in the study of interaction patterns as it focuses on the analysis of the interrelationships between individuals,...

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Published in:Journal of Computer Assisted Learning Vol. 25; no. 2; pp. 189 - 201
Main Authors: Manca S, Delfino M, Mazzoni E
Format: research tables/charts Journal Article
Published: Wiley-Blackwell Apr2009
Online Access:View this record in EBSCOhost
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      issn: 02664909
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      dt: Apr2009
      vid: 25
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      pub: Wiley-Blackwell
      place: Malden, Massachusetts
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        2010457759
        10.1111/j.1365-2729.2008.00296.x
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        atl: Coding procedures to analyse interaction patterns in educational Web forums.
      aug:
        au:
          Manca S
          Delfino M
          Mazzoni E
        affil: Institute for Educational Technology -- Italian National Research Council, Via de Marini 6, 16149 Genova, Italy
      sug:
        subj:
          Coding Methods
          Education, Non-Traditional
          Interpersonal Relations Evaluation
          World Wide Web
          Adult
          Communication Methods
          Content Analysis
          Descriptive Statistics
          Education, Graduate
          Educational Technology Education
          Electronic Bulletin Boards Utilization
          Female
          Male
          Mann-Whitney U Test
          Prospective Studies
          Social Networks
          Teaching Methods
          Human
          Adult: 19-44 years
          Female
          Male
      ab: Analysis of interaction patterns is one of the most important indicators of quality of learning in educational Web forums. Social network analysis (SNA) is gradually assuming importance in the study of interaction patterns as it focuses on the analysis of the interrelationships between individuals, thus providing a holistic perspective on group performance. However, most of the studies that use SNA in computer-supported collaborative learning scenarios derive their data from server log files, on the assumption that this data source reflects the way people really interacted online. This study, the purpose of which is to better understand the communication flows that really occur among users, challenges these assumptions through an experimental study that makes a comparison between the structural method normally used to detect the posting addressees and an approach enriched with semantic coding. Results show that this new coding schema, if compared with traditional structural coding, detected a greater number of addressees, thus allowing a greater number of postings to be included in an SNA adjacency matrix.
      pubtype: Academic Journal
      doctype:
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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