Preliminary study on semantic knowledge management model collaborative learning

Knowledge management (KM) is about collecting, organizing, and storing the knowledge assets of an organization to make it accessible for future knowledge reuse and application. Effective knowledge management system (KMS) should be able to deliver relevant knowledge to the right knowledge user...

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Main Authors: Che Cob, Zaihisma, Abdullah, Rusli, Risidi, Hanim, Mohd Nor, Mohd Zali
Format: Article
Language:English
Published: Asian Research Publishing Network 2015
Online Access:http://psasir.upm.edu.my/id/eprint/45952/1/Preliminary%20study%20on%20semantic%20knowledge%20management%20model%20collaborative%20learning.pdf
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author Che Cob, Zaihisma
Abdullah, Rusli
Risidi, Hanim
Mohd Nor, Mohd Zali
author_facet Che Cob, Zaihisma
Abdullah, Rusli
Risidi, Hanim
Mohd Nor, Mohd Zali
author_sort Che Cob, Zaihisma
collection UPM
description Knowledge management (KM) is about collecting, organizing, and storing the knowledge assets of an organization to make it accessible for future knowledge reuse and application. Effective knowledge management system (KMS) should be able to deliver relevant knowledge to the right knowledge user at the right time. Yet, existing KMS is limited in several ways, and still largely relies on human efforts to access, extract and filter information pertinent to their knowledge need. Successful KMS requires the identification of proper technology designed with the right system features to support the KM activities, hence achieve the goals of KM. Due to this motivation, this paper aims to discuss the application of semantic technology to enhance the KMS and propose a semantic KM model to support collaborative learning environment. This preliminary model has been pro posed based on the review of the literatures on KM, KMS, semantic technology and collaborative learning environment and the verification of the model components will be done using a questionnaire survey. A pilot survey was conducted to several academicians in Higher Learning Institutions (HLIs)in Malaysia to validate the survey instruments before the actual survey is carried out. Rasch Unified Measurement Method (RUMM) is used to analyze the pilot data. As a result, Person reliability is found to be quit high, but Item reliability suggested fair data. A few respondents and items were identified as misfits with distorted measurements. Some problematic questions are revised and the negative questions are considered to be reworded into positive questions.
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spelling upm.eprints-459522018-05-15T02:03:34Z http://psasir.upm.edu.my/id/eprint/45952/ Preliminary study on semantic knowledge management model collaborative learning Che Cob, Zaihisma Abdullah, Rusli Risidi, Hanim Mohd Nor, Mohd Zali Knowledge management (KM) is about collecting, organizing, and storing the knowledge assets of an organization to make it accessible for future knowledge reuse and application. Effective knowledge management system (KMS) should be able to deliver relevant knowledge to the right knowledge user at the right time. Yet, existing KMS is limited in several ways, and still largely relies on human efforts to access, extract and filter information pertinent to their knowledge need. Successful KMS requires the identification of proper technology designed with the right system features to support the KM activities, hence achieve the goals of KM. Due to this motivation, this paper aims to discuss the application of semantic technology to enhance the KMS and propose a semantic KM model to support collaborative learning environment. This preliminary model has been pro posed based on the review of the literatures on KM, KMS, semantic technology and collaborative learning environment and the verification of the model components will be done using a questionnaire survey. A pilot survey was conducted to several academicians in Higher Learning Institutions (HLIs)in Malaysia to validate the survey instruments before the actual survey is carried out. Rasch Unified Measurement Method (RUMM) is used to analyze the pilot data. As a result, Person reliability is found to be quit high, but Item reliability suggested fair data. A few respondents and items were identified as misfits with distorted measurements. Some problematic questions are revised and the negative questions are considered to be reworded into positive questions. Asian Research Publishing Network 2015-02 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/45952/1/Preliminary%20study%20on%20semantic%20knowledge%20management%20model%20collaborative%20learning.pdf Che Cob, Zaihisma and Abdullah, Rusli and Risidi, Hanim and Mohd Nor, Mohd Zali (2015) Preliminary study on semantic knowledge management model collaborative learning. ARPN Journal of Engineering and Applied Sciences, 10 (2). pp. 442-450. ISSN 1819-6608 http://www.arpnjournals.com/
spellingShingle Che Cob, Zaihisma
Abdullah, Rusli
Risidi, Hanim
Mohd Nor, Mohd Zali
Preliminary study on semantic knowledge management model collaborative learning
title Preliminary study on semantic knowledge management model collaborative learning
title_full Preliminary study on semantic knowledge management model collaborative learning
title_fullStr Preliminary study on semantic knowledge management model collaborative learning
title_full_unstemmed Preliminary study on semantic knowledge management model collaborative learning
title_short Preliminary study on semantic knowledge management model collaborative learning
title_sort preliminary study on semantic knowledge management model collaborative learning
url http://psasir.upm.edu.my/id/eprint/45952/1/Preliminary%20study%20on%20semantic%20knowledge%20management%20model%20collaborative%20learning.pdf
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