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Modeling Adaptation Patterns in the Context of Collaborative Learning: Case Studies of IMS-LD Based Implementation

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Technology-Enhanced Systems and Tools for Collaborative Learning Scaffolding

Part of the book series: Studies in Computational Intelligence ((SCI,volume 350))

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Abstract

Research on collaborative learning has emphasized the need for providing flexible yet supportive tools to teachers in order to design collaborative learning tasks. In our work we present a next step in our pattern-based approach demonstrating how educators’ ideas can provide the basis for adaptation patterns which, in turn, can be expressed in IMS-LD modeling language. In this paper we present representative and selective design case studies exemplifying the implementation of the core specification of an Adaptation Pattern (Input, Rules, Model and Output) on the basis of using tools compliant to IMS-LD. We analyze what is necessary for implementing an adaptation pattern and discuss the benefits of the pattern-based approach. Finally, we highlight what issues would be important toward integrating the adaptation pattern capabilities in LD compliant tools for collaborative learning design.

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Magnisalis, I., Demetriadis, S. (2011). Modeling Adaptation Patterns in the Context of Collaborative Learning: Case Studies of IMS-LD Based Implementation. In: Daradoumis, T., Caballé, S., Juan, A.A., Xhafa, F. (eds) Technology-Enhanced Systems and Tools for Collaborative Learning Scaffolding. Studies in Computational Intelligence, vol 350. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-19814-4_13

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  • DOI: https://doi.org/10.1007/978-3-642-19814-4_13

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-19813-7

  • Online ISBN: 978-3-642-19814-4

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