Modeling of e-learning based on Ant Colony algorithm
Samir Allach, Mohamed Ben Ahmed, Abderrahim Ghadi, Mohammad Essaaidi · 2012
This paper describes an approach of modeling and adaptation of the e-learning. This modeling is based of the Ant Colony Optimization (ACO). In our modeling, e-learning is schematized by a graph where nodes represent the educational elements (lessons or exercises), and arcs link navigation between them. Each of the arcs is also a value that describes its importance in relation to teaching neighboring arcs. Students are represented by virtual agents (ants) who use these links.