A Neural Network for Generating Adaptive Lessons

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.