A context-aware adaptive learning system using agents
Document Type
Article
Publication Date
4-1-2011
Abstract
Evolution of Web technologies has made e-learning a popular common way of education and training. As an outcome, learning content adaptation has been the subject of many research projects lately. This paper suggests a framework for building an adaptive Learning Management System (LMS). The proposed architecture is based upon multi-agent systems and uses both Sharable Content Object Reference Model (SCORM) 2004 and semantic Web ontology for learning content storage, sequencing and adaptation. This system has been implemented upon a well known open-source LMS and its functionalities are demonstrated through the simulation of a scenario mimicing the real life conditions. The result reveals the system effectiveness for which it appears that the proposed approach may be very promising.
Keywords
Intelligent tutoring systems, Ontology, Adaptive learning, Agent, SCORM
Divisions
fac_eng
Publication Title
Expert Systems with Applications
Volume
38
Issue
4
Publisher
Elsevier