A context-aware adaptive learning system using agents
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...
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| Format: | Article |
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Elsevier
2011
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| author | Yaghmaie, Mahkameh Bahreininejad, Ardeshir |
| author_facet | Yaghmaie, Mahkameh Bahreininejad, Ardeshir |
| author_sort | Yaghmaie, Mahkameh |
| collection | UM |
| description | 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. |
| first_indexed | 2024-03-06T05:07:10Z |
| format | Article |
| id | um.eprints-2069 |
| institution | Universiti Malaya |
| last_indexed | 2024-03-06T05:07:10Z |
| publishDate | 2011 |
| publisher | Elsevier |
| record_format | dspace |
| spelling | um.eprints-20692019-02-13T03:39:19Z http://eprints.um.edu.my/2069/ A context-aware adaptive learning system using agents Yaghmaie, Mahkameh Bahreininejad, Ardeshir QA75 Electronic computers. Computer science TA Engineering (General). Civil engineering (General) 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. Elsevier 2011-04 Article PeerReviewed 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 <https://doi.org/10.1016/j.eswa.2010.08.113>. https://doi.org/10.1016/j.eswa.2010.08.113 doi:10.1016/j.eswa.2010.08.113 |
| spellingShingle | QA75 Electronic computers. Computer science TA Engineering (General). Civil engineering (General) Yaghmaie, Mahkameh Bahreininejad, Ardeshir A context-aware adaptive learning system using agents |
| title | A context-aware adaptive learning system using agents |
| title_full | A context-aware adaptive learning system using agents |
| title_fullStr | A context-aware adaptive learning system using agents |
| title_full_unstemmed | A context-aware adaptive learning system using agents |
| title_short | A context-aware adaptive learning system using agents |
| title_sort | context aware adaptive learning system using agents |
| topic | QA75 Electronic computers. Computer science TA Engineering (General). Civil engineering (General) |
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