Title :
A new approach of e-learning-adaptive based on ant colonies optimisation algorithm
Author :
Allach, Samir ; Essaaidi, Mohammad ; Ben Ahmed, Mohamed
Author_Institution :
LASIT (FS Tetouan), Tetouan, Morocco
Abstract :
Adaptive E-learning, refers to a training concept in which technology is introduced step by step in all aspects of the business of training. A technique, inspired by the Ant Colony Optimization (ACO), is proposed to optimize the learning path. The proposed platform is modeled 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.
Keywords :
ant colony optimisation; computer based training; distance learning; graph theory; multi-agent systems; virtual reality; ACO; adaptive e-learning; ant colony optimization algorithm; distance education; educational elements; educational exercise; educational lesson; graph modeling; learning path; training concept; virtual agent; Adaptation models; Computational modeling; Europe; Government; History; Lead; Unified modeling language; ACO; Adaptive E-learning; platforms;
Conference_Titel :
Multimedia Computing and Systems (ICMCS), 2012 International Conference on
Conference_Location :
Tangier
Print_ISBN :
978-1-4673-1518-0
DOI :
10.1109/ICMCS.2012.6320179