Adaptable and Reusable Query Patterns for Trace-Based Learner Modelling

  • Lemya Settouti
  • Nathalie Guin
  • Vanda Luengo
  • Alain Mille
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6964)

Abstract

This paper defines a framework to describe Learner Modelling (LM) process based on interactions traces. This framework includes an RDF-Based representation of knowledge models that can be used by a LM designer. The first model enables the LM designer to describe observations about learner’s interactions with a TEL-system. The second model enables the LM designer to describe the structure of learner’s profile. This framework supports also the description of reusable and adaptable SPARQL-based query patterns. These patterns enable the LM designer to calculate and infer learner profile elements for different TEL systems. We define the notion of query pattern and illustrate its application in the context of two TEL systems.

Keywords

SPARQL Query Query Pattern Trace Model Triple Pattern Diagnosis 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 2011

Authors and Affiliations

  • Lemya Settouti
    • 1
    • 2
  • Nathalie Guin
    • 1
  • Vanda Luengo
    • 2
  • Alain Mille
    • 1
  1. 1.Université de Lyon, CNRS, Université Lyon 1, LIRIS, UMR5205France
  2. 2.Université de Grenoble, LIGFrance

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