A Tailorable Collaborative Learning System that Combines OGSA Grid Services and IMS-LD Scripting

Miguel Luis Bote-Lorenzo (1) , Luis M. Vaquero-González (1) , Guillermo Vega-Gorgojo (1) , Yannis Dimitriadis (1) , Juan I. Asensio-Perez (1) , Eduardo Gomez-Sanchez (1) , Davinia Hernández-Leo (1)

1 School of Telecommunications Engineering

This paper presents Gridcole, a new collaborative learning system that can be easily tailored by educators in order to support their own CSCL scenarios, using computing services provided by third parties in the form of OGSA grid services. Educators employ scripts in order to describe the sequence of learning activities and required tools, with standard IMS-LD notation. Thus, through the integration of coarse-grained tools, that may even offer supercomputing capabilities or use specific hardware resources, educators do not depend on software developers to easily configure a suitable environment in order to support a broad range of collaborative scenarios. An example of a learning scenario for a Computer Architecture course is described to illustrate the capabilities of Gridcole.

Mots clés: learning grids

Domaines: Environnements Informatiques pour l'Apprentissage Humain

Miguel Luis Bote-Lorenzo, Luis M. Vaquero-González, Guillermo Vega-Gorgojo, Yannis Dimitriadis, Juan I. Asensio-Perez, et al.. A Tailorable Collaborative Learning System that Combines OGSA Grid Services and IMS-LD Scripting. International Workshop on Groupware, CRIWG 2004, 2004, San Carlos, Costa Rica. pp.305-321. ⟨hal-00190178⟩