@article {10.3844/jcssp.2005.232.243,
article_type = {journal},
title = {A Neural Network for Generating Adaptive Lessons},
author = {Seridi-Bouchelaghem, Hassina and Sari, Toufik and Sellami, Mokhtar},
volume = {1},
number = {2},
year = {2005},
month = {Jun},
pages = {232-243},
doi = {10.3844/jcssp.2005.232.243},
url = {https://thescipub.com/abstract/jcssp.2005.232.243},
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 = {Journal of Computer Science},
publisher = {Science Publications}
}