Organizing Learning Objects for Personalized eLearning Services

نویسندگان

  • Naimdjon Takhirov
  • Ingeborg Sølvberg
  • Trond Aalberg
چکیده

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.

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تاریخ انتشار 2009