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Examining the Interrelation between the Interaction Analysis and Adaptation Research Fields within Communication-Based Collaborative Learning Activities: Convergence, Divergence or Complementarity?

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Intelligent Adaptation and Personalization Techniques in Computer-Supported Collaborative Learning

Part of the book series: Studies in Computational Intelligence ((SCI,volume 408))

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Abstract

Communication is an integral part of any Computer Supported Collaborative Learning (CSCL) research approach. Furthermore the issues of Adaptation and Interaction Analysis have been intensively researched during the past years, under the scope of web-based educational approaches. Both research fields seem to share similar or complementary techniques, aims and outcomes. This chapter attempts to examine at what extend these two fields are complementary to one another or whether they can converge (or diverge) in the future, focusing on Computer Mediated Communication tools, especially Asynchronous Discussion Platforms. The existing work on applying IA methods in communication-based CSCL approaches is examined and correlated with the main constituents of the research on adaptive systems. Issues related to flexibility, adaptability and interoperability are also discussed upon, in an attempt to distinguish the future trends of the IA research field and its relation to Adaptation, outlining their conceptual similarities and examining the possibilities of developmental interconnections among the two fields.

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Correspondence to Tharrenos Bratitsis .

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Bratitsis, T. (2012). Examining the Interrelation between the Interaction Analysis and Adaptation Research Fields within Communication-Based Collaborative Learning Activities: Convergence, Divergence or Complementarity?. In: Daradoumis, T., Demetriadis, S., Xhafa, F. (eds) Intelligent Adaptation and Personalization Techniques in Computer-Supported Collaborative Learning. Studies in Computational Intelligence, vol 408. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28586-8_7

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  • DOI: https://doi.org/10.1007/978-3-642-28586-8_7

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