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A systemic approach for student modelling in a multi-agent aided learning environment

  • Patrick Néhémie
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 608)

Abstract

In this paper, we intend to tackle the analysis of student modelling in aided learning environments by adopting a systemic approach. The approach relates both to a study of the interactions of the student model with its environment and to an analysis, in varying degrees of depth, of its internal organisation.Having presented multi-agent (or multi-expert) learning environments as systems with multiple deciders, we present the agent responsible for the student modelling itself as a system and we analyse it as such. This systemic approach to student modelling is deliberately methodological. It is the one which we use in the study for the AMICAL project (reading scheme). It can be called upon the definition of the needs and the objectives of learner modelling when a aided learning environment is being designed.

Keywords

Modelling Agent Reading Scheme Synthetic Model Learning Session Historical 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 1992

Authors and Affiliations

  • Patrick Néhémie
    • 1
  1. 1.Laboratoire d'InformatiqueUniversité Blaise Pascal de Clermont-FerrandAubiereFrance

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