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  • 标题:Computational Representation of Collaborative Learning Flow Patterns using IMS Learning Design
  • 本地全文:下载
  • 作者:Davinia Hernández-Leo ; Juan I. Asensio-Pérez ; Yannis Dimitriadis
  • 期刊名称:Educational Technology and Society
  • 印刷版ISSN:1176-3647
  • 电子版ISSN:1436-4522
  • 出版年度:2005
  • 卷号:8
  • 期号:4
  • 页码:75-89
  • 出版社:IFETS - Attn Kinshuck
  • 摘要:The identification and integration of reusable and customizable CSCL (Computer Supported Collaborative Learning) may benefit from the capture of best practices in collaborative learning structuring. The authors have proposed CLFPs (Collaborative Learning Flow Patterns) as a way of collecting these best practices. To facilitate the process of CLFPs by software systems, the paper proposes to specify these patterns using IMS Learning Design (IMS-LD). Thus, teachers without technical knowledge can particularize and integrate CSCL tools. Nevertheless, the support of IMS-LD for describing collaborative learning activities has some deficiencies: the collaborative tools that can be defined in these activities are limited. Thus, this paper proposes and discusses an extension to IMS-LD that enables to specify several characteristics of the use of tools that mediate collaboration. In order to obtain a Unit of Learning based on a CLFP, a three stage process is also proposed. A CLFP-based Unit of Learning example is used to illustrate the process and the need of the proposed extension.
  • 关键词:CSCL, Collaborative Learning Flow Patterns, Computational representation, IMS Learning Design
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