A tailorable collaborative learning system that combines OGSA grid services and IMS-LD scripting

Miguel L. Bote-Lorenzo*, Luis M. Vaquero-González, Guillermo Vega-Gorgojo, Yannis A. Dimitriadis, Juan I. Asensio-Pérez, Eduardo Gómez-Sanchez, Davinia Hernández-Leo

*Corresponding author for this work

Research output: Contribution to journalArticle (Academic Journal)peer-review

19 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)305-321
Number of pages17
JournalLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3198
Publication statusPublished - 1 Dec 2004

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