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International Journal of Computer-Supported Collaborative Learning

Erschienen in:

01.12.2012

Computational analysis and mapping of ijCSCL content

verfasst von: Jacques Lonchamp

Erschienen in: International Journal of Computer-Supported Collaborative Learning | Ausgabe 4/2012

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Abstract

The purpose of this empirical study is to analyze and map the content of the International Journal of Computer-Supported Collaborative Learning since its inception in 2006. Co-word analysis is the general approach that is used. In this approach, patterns of co-occurrence of pairs of items (words or phrases) identify relationships among ideas. Distances based on co-occurrence frequencies measure the strength of these relationships. Hierarchical clustering and multidimensional scaling are the two complementary exploratory methods relying on these distances that are used to analyze and map the data. Some interesting findings of the work include a map of the key topics covered in the journal and a set of complementary techniques for investigating more specific questions.

Vorheriger Artikel Traversing planes of learning

Nächster Artikel Interactive visual tools as triggers of collaborative reasoning in entry-level pathology

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Titel: Computational analysis and mapping of ijCSCL content
verfasst von: Jacques Lonchamp
Publikationsdatum: 01.12.2012
Verlag: Springer US
Erschienen in: International Journal of Computer-Supported Collaborative Learning / Ausgabe 4/2012
Print ISSN: 1556-1607
Elektronische ISSN: 1556-1615
DOI: https://doi.org/10.1007/s11412-012-9154-z

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