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Personalising Learning through Prerequisite Structures Derived from Concept Maps

  • Christina M. Steiner
  • Dietrich Albert
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4823)

Abstract

Current developments in Web-based learning are especially focusing on personalising learning by adapting the learning process to the student’s prior knowledge, learning progress, learning goal, and possibly further characteristics. For creating personalised learning paths and efficiently uncovering the knowledge or competence level of a learner, prerequisite structures on learning objects and assessment problems, or on skills underlying those entities, are extremely useful. Knowledge Space Theory and its competence-based extensions provide a sound mathematical psychological framework that is based upon such prerequisite structures. Concept maps or semantic networks representing domain ontologies offer a valuable source of information for establishing prerequisite structures. This paper outlines approaches on the use of concept maps for deriving prerequisite relations and structures, which can subsequently serve as a basis for implementing personalisation and adaptivity in Web-based learning.

Keywords

Personalisation Adaptivity Knowledge Space Theory Prerequisite Relation Concept Map Semantic Network 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Christina M. Steiner
    • 1
  • Dietrich Albert
    • 1
  1. 1.Department of Psychology, Cognitive Science SectionUniversity of GrazGrazAustria

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