Research Article Open Access

A Neural Network for Generating Adaptive Lessons

Hassina Seridi-Bouchelaghem, Toufik Sari and Mokhtar Sellami

Abstract

Traditional sequencing technology developed in the field of intelligent tutoring systems have not find an immediate place in large-scale Web-based education. This study investigates the use of computational intelligence for adaptive lesson generation in a distance learning environment over the Web. An approach for adaptive pedagogical hypermedia document generation is proposed and implemented in a prototype called KnowledgeClass. This approach is based on a specialized artificial neural network model. The system allows automatic generation of individualised courses according to the learner’s goal and previous knowledge and can dynamically adapt the course according to the learner’s success in acquiring knowledge. Several experiments showed the effectiveness of the proposed method.

Journal of Computer Science
Volume 1 No. 2, 2005, 232-243

DOI: https://doi.org/10.3844/jcssp.2005.232.243

Submitted On: 12 August 2004 Published On: 30 June 2005

How to Cite: Seridi-Bouchelaghem, H., Sari, T. & Sellami, M. (2005). A Neural Network for Generating Adaptive Lessons. Journal of Computer Science, 1(2), 232-243. https://doi.org/10.3844/jcssp.2005.232.243

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Keywords

  • Adaptive Courseware
  • Personalisation
  • Course Sequencing
  • Artificial Neural Network
  • Domain Ontology