Adaptation in Educational Hypermedia Based on the Classification of the User Profile (original) (raw)

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.

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Authors and Affiliations

  1. Departamento de Informática e Estatística, Universidade Federal Santa Catarina, INE-CTC, Campus Universitário, Cx.P. 476, Florianópolis, SC, 88040-900, Brazil
    Gisele Trentin da Silva
  2. Programa de Pós-Graduação em Informática, Universidade Católica de Santos, R. Dr. Carvalho de Mendonça, 144, Santos, SP, 11070-906, Brazil
    Marta Costa Rosatelli

Authors

  1. Gisele Trentin da Silva
  2. Marta Costa Rosatelli

Editor information

Editors and Affiliations

  1. JAIST, 1-1, Asahi-dai, Nomi, 923-1292, Ishikawa, Japan
    Mitsuru Ikeda
  2. Learning Research and Development Center, University of Pittsburgh, Pittsburgh, PA, USA
    Kevin D. Ashley
  3. Graduate Institute of Network Learning Technology, National Central University, 300, Jhongda Rd., 32001, Jhongli City,Taoyuan County, Taiwan
    Tak-Wai Chan

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da Silva, G.T., Rosatelli, M.C. (2006). Adaptation in Educational Hypermedia Based on the Classification of the User Profile. In: Ikeda, M., Ashley, K.D., Chan, TW. (eds) Intelligent Tutoring Systems. ITS 2006. Lecture Notes in Computer Science, vol 4053. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11774303\_27

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