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Towards a Recommendation System for the Learner from a Semantic Model of Knowledge in a Collaborative Environment

  • Chahrazed MedianiEmail author
  • Marie-Hélène Abel
  • Mahieddine Djoudi
Part of the IFIP Advances in Information and Communication Technology book series (IFIPAICT, volume 456)

Abstract

Collaboration is a common work between many people which generates the creation of a common task. A computing environment can foster collaboration among peers to exchange and share knowledge or skills for succeeding a common project. Therefore, when users interact among themselves and with an environment, they provide a lot of information. This information is recorded and classified in a model of traces to be used to enhance collaborative learning. In this paper, we propose (1) the refinement of a semantic model of traces with indicators calculated according to Bayes formulas and (2) the exploitation of these indicators to provide recommendations to the learner to reinforce learning points with learners, of his/her community of collaboration, identified as "experts".

Keywords

Collaboration Trace Indicator Recommendation system 

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Copyright information

© IFIP International Federation for Information Processing 2015

Authors and Affiliations

  • Chahrazed Mediani
    • 1
    Email author
  • Marie-Hélène Abel
    • 2
  • Mahieddine Djoudi
    • 3
  1. 1.Laboratoire des réseaux et des système distribués, Département d’Informatique, Faculté des sciencesUniversité Ferhat Abbas de Sétif -1SétifAlgérie
  2. 2.Sorbonne universités, Université de technologie de CompiègneCompiègneFrance
  3. 3.Laboratoire XLIM-SIC et équipe TechNE, UFR Sciences SP2MIUniversité de PoitiersPoitiersFrance

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