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Adaptation in Educational Hypermedia Based on the Classification of the User Profile

  • Gisele Trentin da Silva
  • Marta Costa Rosatelli
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4053)

Abstract

This paper presents SEDHI – an adaptive hypermedia system for a web-based distance course. The system architecture includes three main modules: the Classification Module, the Student Module, and the Adaptation Module. SEDHI classifies the students according to profiles that were defined based on a statistical study of the course user and usage data, and adapts the navigation using the techniques of link hiding and link annotation. The results of an evaluation of the SEDHI prototype show the potential of the classification and adaptation approach.

Keywords

Textual Information Orange Colour Learning Management System Intelligent Tutor System Deep Dive 
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 2006

Authors and Affiliations

  • Gisele Trentin da Silva
    • 1
  • Marta Costa Rosatelli
    • 2
  1. 1.Departamento de Informática e EstatísticaUniversidade Federal Santa Catarina, INE-CTCFlorianópolisBrazil
  2. 2.Programa de Pós-Graduação em InformáticaUniversidade Católica de SantosSantosBrazil

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