Reusing IMS-LD Formalized Best Practices in Collaborative Learning Structuring - TeLearn Accéder directement au contenu
Article Dans Une Revue Advanced Technology for Learning Année : 2005

Reusing IMS-LD Formalized Best Practices in Collaborative Learning Structuring

Résumé

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. The paper also proposes the formulation of these techniques as patterns: the so- called CLFPs (Collaborative Learning Flow Patterns), with the aim of establishing a conceptual common ground among collaborative learning practitioners and software developers, and reusing the expertise that best practices represent. 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 approach towards the development of a system capable of integrating tools using IMS-LD scripts and a CLFP-based Learning Design authoring tool. (http://www.actapress.com/PaperInfo.aspx?PaperID=22201)

Dates et versions

hal-00190758 , version 1 (23-11-2007)

Identifiants

Citer

Davinia Hernández-Leo, Juan I. Asensio-Perez, Yannis Dimitriadis, Miguel Luis Bote-Lorenzo, Iván M. Jorrín-Abellán, et al.. Reusing IMS-LD Formalized Best Practices in Collaborative Learning Structuring. Advanced Technology for Learning, 2005, 2(4), pp.223-232. ⟨10.2316/Journal.208.2005.4.208-0865⟩. ⟨hal-00190758⟩

Collections

TELEARN TICE TEL
52 Consultations
0 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More