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Journal Issue
Volume 7 Issue 1 / May 2009  pp1‑85

Editor: Shirley Williams

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e‑Learning Indicators: a Multi‑Dimensional Model for Planning and Evaluating e‑Learning Software Solutions  pp1‑28

Bekim Fetaji, Majlinda Fetaji

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Towards a Fusion of Formal and Informal Learning Environments: the Impact of the ReadWrite Web  pp29‑40

Richard Hall

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An e‑Class in Action: Experiences with ICT‑intensive Teaching and Learning of Discrete Dynamical Models at Secondary School  pp41‑53

André Heck, Harm Houwing, Cor de Beurs

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e‑Learning Success Model: an Information Systems Perspective  pp54‑63

Anita Lee-Post

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Impact of Communication Patterns, Network Positions and Social Dynamics Factors on Learning among Students in a CSCL Environment  pp64‑77

Binod Sundararajan

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At present, it is difficult to assess the quality of learning in Computer‑Supported Collaborative Learning (CSCL) environments, because standard pretest and posttest measures do not capture the differences in the learner's ability to engage in the material, pose interesting new questions, engage others in learning and work collaboratively. This research investigates the impact of communication patterns, network positions and social dynamics factors on students' self‑perception of learning in a CSCL environment. The study involved a combination of methodologies combining questionnaires, and archiving of communication logs for data collection. Social network analysis tools were used to analyze relational data, map emergent student communication patterns and calculate centrality scores based on the electronic and face‑to‑face communication patterns among class members in the CSCL environment. Structural equation modeling was then performed on the hypotheses model to determine the impact of these centrality measures and the social factors on students' perceptions of knowledge gained and their satisfaction with their performance in the course. 


Keywords: Computer-Supported Collaborative Learning, CSCL, distance learning, social network analysis, social dynamics, respect, influence, structural equation modelling, path analysis, interaction, participation, motivation to participate and learn, satisfaction with performance, gaining new and conceptual knowledge


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Realizing Wisdom Theory in Complex Learning Networks  pp78‑85

Ayse Kok - (paper retracted in November 2018 - see paper summary for retraction report)

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