Yaghmaie, M.; Bahreininejad, A. (2011) A context-aware adaptive learning system using agents. Expert Systems With Applications, 38 (4). pp. 3280-3286. ISSN 0957-4174Full text not available from this repository.
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.
|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|
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