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The viability of ssm as a novel technique for knowledge elicitation and structuring in a complex and

The advent of advanced Internet and web- based technologies have significantly increased the important role played by technology in e-learning such as faster and effective transmission of knowledge, but has also at the same time compounded the complexities associated with the use of technology enhan...

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Main Authors: Chukwunonso, Franklyn, Ibrahim, Roliana, Selamat, Ali
Format: Article
Published: JISRI 2015
Subjects:
QA75 Electronic computers. Computer science
Online Access:http://eprints.utm.my/id/eprint/60490/
https://seminar.utmspace.edu.my/jisri/download/vol9/finalpaper1-vol9issue1.pdf
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id my.utm.60490
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spelling my.utm.604902022-04-10T02:07:29Z http://eprints.utm.my/id/eprint/60490/ The viability of ssm as a novel technique for knowledge elicitation and structuring in a complex and Chukwunonso, Franklyn Ibrahim, Roliana Selamat, Ali QA75 Electronic computers. Computer science The advent of advanced Internet and web- based technologies have significantly increased the important role played by technology in e-learning such as faster and effective transmission of knowledge, but has also at the same time compounded the complexities associated with the use of technology enhanced learning (TEL), such as unstructured and excessive information content. This calls for the need to redefine the role of knowledge in e-learning; how it can be elicited, represented, and delivered to learners within their context of use. This study attempts to address these challenges by proposing a novel approach for knowledge elicitation and representation through the use of Soft Systems Methodology (SSM) for eliciting and structuring knowledge in a very dynamic and unstructured virtual learning environment (VLE). The results indicate that SSM is a viable and successful tool useful for rich knowledge elicitation and problem structuring and is best suited for complex, unstructured, dynamic, and poorly defined problem cases such as in VLEs. The major contribution of this study is that SSM can be employed for eliciting and structuring knowledge for the development of a knowledge-based personalized e- learning system. JISRI 2015 Article PeerReviewed Chukwunonso, Franklyn and Ibrahim, Roliana and Selamat, Ali (2015) The viability of ssm as a novel technique for knowledge elicitation and structuring in a complex and. Journal of Information System Research and Innovation, 9 (1). pp. 1-8. ISSN 2289-1358 https://seminar.utmspace.edu.my/jisri/download/vol9/finalpaper1-vol9issue1.pdf
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Chukwunonso, Franklyn
Ibrahim, Roliana
Selamat, Ali
The viability of ssm as a novel technique for knowledge elicitation and structuring in a complex and
description The advent of advanced Internet and web- based technologies have significantly increased the important role played by technology in e-learning such as faster and effective transmission of knowledge, but has also at the same time compounded the complexities associated with the use of technology enhanced learning (TEL), such as unstructured and excessive information content. This calls for the need to redefine the role of knowledge in e-learning; how it can be elicited, represented, and delivered to learners within their context of use. This study attempts to address these challenges by proposing a novel approach for knowledge elicitation and representation through the use of Soft Systems Methodology (SSM) for eliciting and structuring knowledge in a very dynamic and unstructured virtual learning environment (VLE). The results indicate that SSM is a viable and successful tool useful for rich knowledge elicitation and problem structuring and is best suited for complex, unstructured, dynamic, and poorly defined problem cases such as in VLEs. The major contribution of this study is that SSM can be employed for eliciting and structuring knowledge for the development of a knowledge-based personalized e- learning system.
format Article
author Chukwunonso, Franklyn
Ibrahim, Roliana
Selamat, Ali
author_facet Chukwunonso, Franklyn
Ibrahim, Roliana
Selamat, Ali
author_sort Chukwunonso, Franklyn
title The viability of ssm as a novel technique for knowledge elicitation and structuring in a complex and
title_short The viability of ssm as a novel technique for knowledge elicitation and structuring in a complex and
title_full The viability of ssm as a novel technique for knowledge elicitation and structuring in a complex and
title_fullStr The viability of ssm as a novel technique for knowledge elicitation and structuring in a complex and
title_full_unstemmed The viability of ssm as a novel technique for knowledge elicitation and structuring in a complex and
title_sort viability of ssm as a novel technique for knowledge elicitation and structuring in a complex and
publisher JISRI
publishDate 2015
url http://eprints.utm.my/id/eprint/60490/
https://seminar.utmspace.edu.my/jisri/download/vol9/finalpaper1-vol9issue1.pdf
_version_ 1729703260692938752
score 13.211869

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