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

  • Authors:
  • Mihaela Brut;Dana Al-Kukhun;Florence Sedes

  • Affiliations:
  • 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

  • Venue:
  • International Journal of Business Intelligence and Data Mining
  • Year:
  • 2009

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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.