Reusing IMS LD formalized best practices in collaborative learning structuring

Davinia Hernández-Leo, Juan Asensio-Pérez, Yannis Dimitriadis, Miguel Bote-Lorenzo, Iván Jorrín-Abellán, Eloy Villasclaras-Fernández

    Research output: Contribution to journalArticleAcademicpeer-review

    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.
    Original languageEnglish
    Pages (from-to)223-232
    Number of pages10
    JournalStructuring Advanced Technology for Learning
    Volume2
    Issue number3
    DOIs
    Publication statusPublished - 1 Oct 2005

    Keywords

    • best practise
    • CSCL
    • pattern
    • script
    • IMS LD

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