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Please use this identifier to cite or link to this item: http://hdl.handle.net/1820/616

Title: Reusing IMS LD formalized best practices in collaborative learning structuring
Authors: Hernández-Leo, Davinia
Asensio-Pérez, Juan
Dimitriadis, Yannis
Bote-Lorenzo, Miguel
Jorrín-Abellán, Iván
Villasclaras-Fernández, Eloy
Keywords: best practise
CSCL
pattern
script
IMS LD
Issue Date: Oct-2005
Publisher: Advanced Technology for Learning (International Journal)
Citation: Hernández-Leo, D., Asensio-Pérez, J.I., Dimitriadis, Y., Bote-Lorenzo, M.L., Jorrín-Abellán, I.M., Villasclaras-Fernández, E.D. Reusing IMS-LD Formalized Best Practices in Collaborative Learning Structuring Advanced Technology for Learning. 2(3):223-232, October 2005.
Abstract: Designs of CSCL (Computer Supported Collaborative Learning) activities should be flexible, effective and customizable to particular learning situations. On the other hand, structured designs aim to create favourable conditions for learning. Thus, this paper proposes the collection of representative and broadly accepted (best practices) structuring techniques in collaborative learning. With the aim of establishing a conceptual common ground among collaborative learning practitioners and software developers, and reusing the expertise that best practices represent, the paper also proposes the formulation of these techniques as patterns: the so-called CLFPs (Collaborative Learning Flow Patterns). To formalize these patterns, we have chosen the educational modelling language IMS Learning Design (IMS-LD). IMS-LD has the capability to specify many of the collaborative characteristics of the CLFPs. Nevertheless, the language bears limited capability for describing the services that mediate interactions within a learning activity and the specification of temporal or rotated roles. This analysis is discussed in the paper, as well as our approaches towards the development of a system capable of integrating tools using IMS-LD scripts and a CLFP-based Learning Design authoring tool.
URI: http://hdl.handle.net/1820/616
Appears in Collections:1. LN: Publications and Preprints

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