Workshop on Grid Learning Services

Colin Allison, Jeff Bradshaw, Rajkumar Buyya, Stefano A. Cerri, Marc Eisenstadt, Guy Gouardères, Michel Liquière, Roger Nkambou, Liana Razmerita, Pierluigi Ritrovato, David De Roure, Roland Yatchou

Research output: Chapter in Book/Report/Conference proceedingConference abstract in proceedingsResearchpeer-review


The historical domain of ITS is currently confronted with a double challenge. On the one side the availability of Internet worldwide and the globalisation have
tremendously amplified the demand for distance learning (tutoring, training,
bidirectional access to Information, ubiquitous and lifelong education, learning as a side effect of interaction). On the other, technologies evolve with an unprecedented speed as well as their corresponding computational theories, models, tools, applications. One of the most important current evolution in networking is represented by GRID computing. Not only the concept promises the availability of important computing resources to be significantly enhanced by GRID services, but identifies an even more crucial roadmap for fundamental research in Computing around the notion of Semantic GRID services, as opposed/complementary to the traditional one of Web accessible products and, more recently, Web services. We do not discuss here the two alternative viewpoints; just anticipate their co-existence, the scientific debate about them and the choice in this workshop of the approach Grid Service.
Assuming a service view for e-Learning, the adaptation to the service user – be it a human, a community of humans or a set of artificial Agents operating on the GRID – entails the dynamic construction of models of the service user by the service provider. Services need to be adapted to users, thus they have to compose their configuration according to their understanding of the user. When the user is a learner – as it is the case in e-Learning – the corresponding formal model has to learn during its life cycle. Machine learning meets necessarily human learning in the sense that it becomes a necessary precondition for composing adaptive services for human needs.
The workshop addresses the issues of integrating human and machine learning into models, systems, applications and abstracting them into theories for advanced Human learning, based on the dynamic generation of GRID services.
Original languageEnglish
Title of host publicationIntelligent Tutoring Systems. ITS 2004 : Proceedings
EditorsJames C. Lester, Rosa Maria Vicari, Fábio Paraguaçu
Number of pages1
Place of PublicationBerlin, Heidelberg
Publication date2004
ISBN (Print)9783540229483
ISBN (Electronic)9783540301394
Publication statusPublished - 2004
Externally publishedYes
Event7th International Conference on Intelligent Tutoring Systems. ITS 2004 - Maceió, Alagoas, Brazil
Duration: 30 Aug 20043 Sep 2004
Conference number: 7


Conference7th International Conference on Intelligent Tutoring Systems. ITS 2004
CityMaceió, Alagoas
SeriesLecture Notes in Computer Science

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