LIA: An Intelligent Advisor for e-Learning

Authors:
Nicola Capuano;Matteo Gaeta;Sergio Miranda;Francesco Orciuoli;Pierluigi Ritrovato
Affiliations:
Department of Information Engineering and Applied Mathematics, University of Salerno, Fisciano, Italy 84084 and CRMPA, Centro di Ricerca in Matematica Pura ed Applicata, Fisciano, Italy 84084;Department of Information Engineering and Applied Mathematics, University of Salerno, Fisciano, Italy 84084;Department of Information Engineering and Applied Mathematics, University of Salerno, Fisciano, Italy 84084;Department of Information Engineering and Applied Mathematics, University of Salerno, Fisciano, Italy 84084 and CRMPA, Centro di Ricerca in Matematica Pura ed Applicata, Fisciano, Italy 84084;Department of Information Engineering and Applied Mathematics, University of Salerno, Fisciano, Italy 84084
Venue:
WSKS '08 Proceedings of the 1st world summit on The Knowledge Society: Emerging Technologies and Information Systems for the Knowledge Society
Year:
2008

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Abstract

Intelligent e-learning systems have revolutionized online education by providing individualized and personalized instruction for each learner. Nevertheless, till now very few systems were able to leave academic labs and be integrated in real commercial products. One of this few exceptions is the Learning Intelligent Advisor (LIA) described in this paper, built on results coming from several research projects and currently integrated in a complete e-learning solution named IWT. The purpose of this paper is to describe how LIA works and how it cooperates with IWT in the provisioning of an individualized and personalized e-learning experience. Results of experimentations with real users coming from IWT customers are also presented and discussed in order to demonstrate the benefits of LIA as an add-on in on-line learning.