Intelligent learning system for online learning

Issue title: Recent Advances in Intelligent Paradigms Fusion and Their Applications

Guest editors: L.C. Jain, C.P. Lim and N.T. Nguyen

Article type: Research Article

Authors: Serçe, Fatma Cemile^{a; *} | Alpaslan, Ferda Nur^b | Jain, Lakhmi C.^c

Affiliations: [a] Department of Information Systems Engineering, Ankara, Turkey | [b] Computer Engineering Department, Middle East Technical University, Ankara, Turkey | [c] University of South Australia, Adelaide, SA, 5095, Australia

Correspondence: [*] Corresponding author. E-mail: [email protected]

Abstract: The paper presents an Adaptive Intelligent Learning System (AILS) designed to be used with any Learning Management System (LMS). The adaptiveness provides uniquely identifying and monitoring the learner's learning process according to the learner's profile. AILS has been implemented as a multi-agent system. The agents were developed as JADE agents. The paper presents the learning model, system components, agent behavior in learner scenarios, the ontologies used in agent communications, and the adaptive strategies. The sample application of the AILS to a dummy LMS is also given.

Keywords: Adaptive Learning Systems, Intelligent Learning Management Systems, Multi-agent Systems, Distance Learning, Fusion of Agents and Learning

DOI: 10.3233/HIS-2008-5303

Journal: International Journal of Hybrid Intelligent Systems, vol. 5, no. 3, pp. 129-141, 2008