Adaptive Instructional Planning Using Neural Networks in Intelligent Learning Systems

Hassina Seridi, Toufik Sari, and Mokhtar Sellami

Laboratory of Research on Informatics (LRI), Badji Mokhtar University, Algeria 

Abstract: This paper investigates the use of computational intelligence for adaptive lesson sequencing in a distance-learning environment. A connectionist method for adaptive pedagogical hypermedia document generation is proposed and implemented in a prototype called AppSys. The proposed methodology based on the use of ontologies and learning object metadata. The generated didactic plan is adapted to the learner’s goals, abilities and preferences. Several experiments have shown the effectiveness of the proposed method.  

Keywords: Intelligent learning environment, web-based course, adaptive and automatic course sequencing, learner model, domain ontology, neural networks. 

Received July 13, 2004; accepted April 18, 2005