Assistance in Building Student Models Using Knowledge Representation and Machine Learning

  • Sébastien Lallé
  • Vanda Luengo
  • Nathalie Guin
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7926)

Abstract

We propose a method and a first authoring tool to assist the design and implementation of diagnostic techniques. This method is independent from the domain and allows building more than one technique at once. The method is based on knowledge representation and a semi-automatic machine learning algorithm. We tested the method in two domains, surgery and reading English. Techniques built with our method beat the majority class in terms of accuracy.

Keywords

Knowledge diagnostic authoring tool machine learning 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Sébastien Lallé
    • 1
    • 2
  • Vanda Luengo
    • 1
  • Nathalie Guin
    • 2
  1. 1.LIG METAHJoseph Fourier UniversityGrenobleFrance
  2. 2.LIRIS, UMR5205Université de Lyon, CNRS Université Lyon 1France

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