Journal of Computer Science

A Neural Network for Generating Adaptive Lessons

Hassina Seridi-Bouchelaghem, Toufik Sari and Mokhtar Sellami

DOI : 10.3844/jcssp.2005.232.243

Journal of Computer Science

Volume 1, Issue 2

Pages 232-243


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.


© 2005 Hassina Seridi-Bouchelaghem, Toufik Sari and Mokhtar Sellami. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.