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A context-aware adaptive learning system using agents
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DOI：10.1016/j.eswa.2010.08.113.png)
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Abstract
En 中文
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. (C) 2010 Elsevier Ltd. All rights reserved.
Keywords:
Intelligent tutoring systems
Ontology
Adaptive learning
Agent
SCORM
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