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Adaptive Learner Profiling Provides the Optimal Sequence of Posed Basic Mathematical Problems

  • Behnam Taraghi
  • Anna Saranti
  • Martin Ebner
  • Arndt Großmann
  • Vinzent Müller
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8719)

Abstract

Applications that try to enhance learners’ knowledge can profit by the creation and analysis of learner profiles. This work deals with the derivation of an optimal sequence of questions by comparing similar learning behaviour of users of a mathematics training application. The adaptation of the learners’ clusters to the answers of the revised optimal question sequence improves learning.

Keywords

Learning Analytics Clustering Adaptive Learner Profiling 

References

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    Taraghi, B., Ebner, M., Saranti, A., Schön, M.: On Using Markov Chain to Evidence the Learning Structures and Difficulty Levels of One Digit Multiplication. In: Proceedings of the 4th International Conference on Learning Analytics and Knowledge, Indianapolis, USA, pp. 68–72 (2014)Google Scholar
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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Behnam Taraghi
    • 1
  • Anna Saranti
    • 1
  • Martin Ebner
    • 1
  • Arndt Großmann
    • 2
  • Vinzent Müller
    • 2
  1. 1.Graz University of TechnologyGrazAustria
  2. 2.UnlockYourBrain GmbHBerlinGermany

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