Title :
Multi-agent architecture for intelligent E-learning
Author :
de Arriaga, F. ; El Alami, M. ; Arriaga, A.
Author_Institution :
Univ. Politecnica de Madrid, Spain
Abstract :
After the initial explosion of E-learning with tremendous hope, a more realistic era is starting where E-learning is assessed and new trends are followed. The paper presents a multi-agent architecture allowing the system not only to tutor and manage the user learning process but also to discover, by learning, the student model and evaluate his progress. For those purposes, agents count on different machine learning techniques such as functional-link neural networks, case-based reasoning and fuzzy logic.
Keywords :
case-based reasoning; distance learning; fuzzy logic; intelligent tutoring systems; multi-agent systems; neural nets; NEOCAMPUS2; case-based reasoning; functional-link neural networks; fuzzy logic; intelligent E-learning; machine learning techniques; multiagent architecture; student model; tutorial functions; user learning process; Computer aided instruction; Computer architecture; Computer science; Electronic learning; Explosions; Fuzzy logic; Humans; Knowledge management; Machine learning; Neural networks;
Conference_Titel :
Electronics, Circuits and Systems, 2003. ICECS 2003. Proceedings of the 2003 10th IEEE International Conference on
Print_ISBN :
0-7803-8163-7
DOI :
10.1109/ICECS.2003.1301735