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Organizing Learning Objects for Personalized eLearning Services

  • Naimdjon Takhirov
  • Ingeborg T. Sølvberg
  • Trond Aalberg
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5714)

Abstract

In this paper we present a way to organize Learning Objects to achieve personalized eLearning. PEDAL-NG is a system that supports personalization based on the user’s prior knowledge and the learning style in an existing and operational eLearning environment. The prior knowledge assessment and the learning style questionnaire proved to be simple and useful tools to gather necessary information about the user in order to deliver personalized eLearning experience.

Keywords

Learn Object Digital Library Learning Style Metadata Schema Learn Style Model 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Naimdjon Takhirov
    • 1
  • Ingeborg T. Sølvberg
    • 1
  • Trond Aalberg
    • 1
  1. 1.Department of Computer and Information ScienceNorwegian University of Science and TechnologyTrondheimNorway

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