A context-aware adaptive learning system using agents

  • Authors:
  • Mahkameh Yaghmaie;Ardeshir Bahreininejad

  • Affiliations:
  • Faculty of Engineering, Tarbiat Modares University, Tehran, Iran;Faculty of Engineering, Tarbiat Modares University, Tehran, Iran and Faculty of Engineering, University of Malaya, Kuala Lumpur, Malaysia

  • Venue:
  • Expert Systems with Applications: An International Journal
  • Year:
  • 2011

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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.