Digital Signal Processing

   

Towards Optimizing Learning Paths in a System e-Learning Adaptive Application of Ant Algorithm (Aco)

Authors: Samir ALLACH, Mohammad ESSAAIDI, Mohamed BEN AHMED

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.

Comments: 11 Pages.

Download: PDF

Submission history

[v1] 2012-08-18 21:40:38

Unique-IP document downloads: 196 times

Add your own feedback and questions here:
You are equally welcome to be positive or negative about any paper but please be polite. If you are being critical you must mention at least one specific error, otherwise your comment will be deleted as unhelpful.

comments powered by Disqus