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The Application of Optimal Topic Sequence in Adaptive e-Learning Systems

  • Vija VagaleEmail author
  • Laila Niedrite
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 615)

Abstract

In an adaptive e-learning system an opportunity to choose a course topic sequence is given to ensure personalization. The topic sequence can be obtained from three sources: teacher-offered topic sequence that is based on teacher’s pedagogical experience; learner’s free choice that is based on indicated links between topics, and, finally, the optimal topic sequence acquisition method described in this article. The optimal topic sequence is based on previous learners’ experience. With the help of the optimal topic sequence method, data about previous learners’ course topic sequence and course results are obtained. After the data analysis the optimal topic sequence for the specific course is obtained based on the links between course topics. In this article the experimental test of this method is described.

Keywords

Optimal topic sequence Adaptive e-learning system Learner model 

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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  1. 1.University of LatviaRigaLatvia

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