A context-aware adaptive learning system using agents

Yaghmaie, Mahkameh and Bahreininejad, Ardeshir (2011) A context-aware adaptive learning system using agents. Expert Systems with Applications, 38 (4). pp. 3280-3286. ISSN 0957-4174, DOI https://doi.org/10.1016/j.eswa.2010.08.113.

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Official URL: https://doi.org/10.1016/j.eswa.2010.08.113


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
Uncontrolled Keywords: Intelligent tutoring systems; Ontology; Adaptive learning; Agent; SCORM
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
T Technology > TA Engineering (General). Civil engineering (General)
Divisions: Faculty of Engineering
Depositing User: Zanaria Saupi Udin
Date Deposited: 26 Aug 2011 07:02
Last Modified: 13 Feb 2019 03:39
URI: http://eprints.um.edu.my/id/eprint/2069

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