A context-aware adaptive learning system using agents

Yaghmaie, M.; Bahreininejad, A. (2011) A context-aware adaptive learning system using agents. Expert Systems With Applications, 38 (4). pp. 3280-3286. ISSN 0957-4174

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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.

Item Type: Article
  1. Yaghmaie, M.
  2. Bahreininejad, A.(University of Malaya)
Journal or Publication Title: Expert Systems With Applications
Uncontrolled Keywords: Computer Science, Artificial Intelligence; Engineering, Electrical & Electronic; Operations Research & Management Science
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Engineering
Depositing User: Zanaria Saupi Udin
Date Deposited: 26 Aug 2011 15:02
Last Modified: 11 Dec 2014 15:47
URI: http://eprints.um.edu.my/id/eprint/2069

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