Title: Towards service-oriented recommendation functionalities within pervasive e-learning systems

Authors: Mihaela Brut, Dana Al-Kukhun, Florence Sedes

Addresses: Faculty of Computer Science, Alexandru Ioan Cuza University, 11 Carol I Blv., Iasi, Romania. ' IRIT – Institut de Recherche en Informatique de Toulouse, Universite Paul Sabatier, 118 Route de Narbonne, Toulouse, 31062, Cedex 9, France. ' IRIT – Institut de Recherche en Informatique de Toulouse, Universite Paul Sabatier, 118 Route de Narbonne, Toulouse, 31062, Cedex 9, France

Abstract: In the age of mobile computing where users can access learning materials while moving around different locations, a teacher, a student or a document might often face difficulties in being integrated within different e-learning systems. Focusing on the Computer Science field, we present a service-oriented solution for providing users with recommendations of interest documents and possible collaborators, enhancing their mobility within a pervasive e-learning system. Our solution is based on the ACM classification system, which is used to develop user competence profiles, to annotate materials, and to recommend them.

Keywords: semantic annotations; pervasive systems; services; e-learning; electronic learning; Association for Computing Machinery; ACM classification system; mobile computing; m-computing; user competence profiles; computer science.

DOI: 10.1504/IJBIDM.2009.026904

International Journal of Business Intelligence and Data Mining, 2009 Vol.4 No.2, pp.122 - 140

Published online: 08 Jul 2009 *

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