A grid based software architecture for delivery of adaptive and personalised learning experiences

  • Authors:
  • Angelo Gaeta;Matteo Gaeta;Pierluigi Ritrovato

  • Affiliations:
  • Centro di Ricerca in Matematica Pura ed Applicata (CRMPA), Fisciano (SA), Italy 84084;Dipartimento di Ingegneria dell'Informazione e Matematica Applicata (DIIMA), University of Salerno, Fisciano (SA), Italy 84084;Centro di Ricerca in Matematica Pura ed Applicata (CRMPA), Fisciano (SA), Italy 84084

  • Venue:
  • Personal and Ubiquitous Computing
  • Year:
  • 2009

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Abstract

This paper is centred on one of the main results of the ELeGI project, namely its software architecture for the delivery of personalised formal-learning experiences. The architecture has been designed and developed: (1) taking into account a general model for the personalisation of learning experiences, allowing us to obtain a solution that is flexible with respect to the pedagogies, and (2) on top of service oriented grid technologies, allowing us to obtain several advantages in the process of creation and delivery of personalised learning experience like, for instance, ubiquitous and seamless access to heterogeneous learning resources distributed over the network. In order to validate our result, the first prototype of the ELeGI architecture has been deployed on a virtual organisation consisting of three geographically distributed nodes. Each node of the VO provides services and learning resources that have been adopted in the creation and delivery of a personalised learning experience about the Torricelli's law and based on the virtual scientific experiment model. The case of study has been successfully executed and has given us a proof of our assumptions related to the added value of the service oriented grid mainly in terms of: (1) capabilities to access educational resources distributed over the network, that is relevant in achieving the personalisation of learning experiences, and (2) high level of dynamicity and adaptiveness in the creation and delivery processes of a personalised learning experience.