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Framework for a Competency-Driven, Multi-viewpoint, and Evolving Learner Model

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Part of the Lecture Notes in Computer Science book series (LNPSE,volume 5091)

Abstract

Considering learning as a dynamic, evolving, social, and lifelong process which occurs in a wide variety of contexts, we aim to improve online learning by offering learning adaptation possibilities, lifelong learning follow-up, learning evolution follow-up, openness to the learner’s contexts (personal, professional, and academic), and openness to actors involved in the learning process. To achieve this goal, we propose the development of a meta-model for learner models based on competencies, integrating learner production and personal and professional information, IPP, evolving in time and taking into account different viewpoints. This meta-model may be used for creating different kind of learner models which serve different purposes: adaptation of learning to the learner’s cognitive state, learning evaluation, self-reflection, team work... From these kinds of models, models representing individuals will be instantiated.

Keywords

  • Online learning
  • learner model
  • personalization
  • competency

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© 2008 Springer-Verlag Berlin Heidelberg

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Moulet, L., Marino, O., Hotte, R., Labat, JM. (2008). Framework for a Competency-Driven, Multi-viewpoint, and Evolving Learner Model. In: Woolf, B.P., Aïmeur, E., Nkambou, R., Lajoie, S. (eds) Intelligent Tutoring Systems. ITS 2008. Lecture Notes in Computer Science, vol 5091. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-69132-7_83

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  • DOI: https://doi.org/10.1007/978-3-540-69132-7_83

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-69130-3

  • Online ISBN: 978-3-540-69132-7

  • eBook Packages: Computer ScienceComputer Science (R0)