Zainol, Zuraini and Nohuddin, Puteri and Kamarudin, Nur Diyana and Siew Hoong, Angela Lee and Wani, Sharyar (2019) Relationship analysis of formal and experiential learning in military survival skills using text mining. Defence S and T Technical Bulletin, 12. pp. 267-280. ISSN 1985-6571
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Abstract
Tacit knowledge tends to be an invaluable knowledge repository in lifelong learning. Critical domains such as military learning cannot solely rely on traditional manuals and methods due to the unforeseen and uncertain scenarios brought about by advances in modern warfare methods and technology. There is essential knowledge hidden in experiential learning that is very difficult to formalise but critical to be incorporated and taught. The current work aims to extract the relationships between lesson learnt from experiences and current basic military survival skills training among a group of officer cadets using the framework of document and keyword relationship analysis (FDKRA). Finally, the relationships are presented using various visualisation techniques, including word cloud, network graph and bubble graph. The research reveals the existence of important knowledge, not contained otherwise in formal documentation, and thus, highlighting the need to examine and generate a tacit knowledge corpus especially in critical domains.
Item Type: | Article (Journal) |
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Additional Information: | 8667/75845 |
Uncontrolled Keywords: | Tacit knowledge; text mining; experiential learning; military survival skills; keyword relationship analysis. |
Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science T Technology > T Technology (General) > T10.5 Communication of technical information T Technology > T Technology (General) > T55.4 Industrial engineering.Management engineering. > T58.5 Information technology |
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): | Kulliyyah of Information and Communication Technology > Department of Computer Science Kulliyyah of Information and Communication Technology > Department of Computer Science |
Depositing User: | Dr. Sharyar Wani |
Date Deposited: | 12 Nov 2019 09:25 |
Last Modified: | 21 Nov 2019 09:30 |
URI: | http://irep.iium.edu.my/id/eprint/75845 |
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