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The GUSC model in smart notification system: The quantitative analysis and conceptual model

A growing interest in personal knowledge management (PKM) against personal information management (PIM) has initiated the reverse engineering process between the two concepts. PKM could be applied to the lower level knowledge hierarchy (i.e. information) to ease the understanding of explicit knowled...

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Main Authors:	Ismail S., Suhaimi S.F.M., Ahmad M.S.
Other Authors:	57225447357
Format:	Conference paper
Published:	IEEE Computer Society 2023
Subjects:	GUSC model nodal approach personal knowledge management smart devices software agent Autonomous agents Computational methods Education computing Knowledge management Reverse engineering Teaching Conceptual model Explicit knowledge Nodal approach Notification systems Personal information management Personal knowledge management Quantitative analysis model Reverse engineering process Smart devices Students
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id	my.uniten.dspace-29448
record_format	dspace
spelling	my.uniten.dspace-294482023-12-28T12:13:09Z The GUSC model in smart notification system: The quantitative analysis and conceptual model Ismail S. Suhaimi S.F.M. Ahmad M.S. 57225447357 55972574500 56036880900 GUSC model nodal approach personal knowledge management smart devices software agent Autonomous agents Computational methods Education computing Knowledge management Reverse engineering Teaching Conceptual model Explicit knowledge GUSC model Nodal approach Notification systems Personal information management Personal knowledge management Quantitative analysis model Reverse engineering process Smart devices Students A growing interest in personal knowledge management (PKM) against personal information management (PIM) has initiated the reverse engineering process between the two concepts. PKM could be applied to the lower level knowledge hierarchy (i.e. information) to ease the understanding of explicit knowledge concept and in modeling smart devices. On the other hand, one of the common implementations of information management is in the education industry, where students experience less time to meet their lecturers to discuss their learning issues and having inefficient way to communicate via the existing learning management system. This paper investigates the communication problem between students and lecturers outside the classroom, by considering the social media usage among them. Knowing that Web 2.0 technology can be used to connect the two parties, a PKM model, which we called the GUSC model, is used to design a model of an agent-based smart notification system. This paper presents the quantitative analysis on students' GUSC pattern and their need to connect to their lecturers, in order to conceive the agent-based model. � 2013 IEEE. Final 2023-12-28T04:13:08Z 2023-12-28T04:13:08Z 2013 Conference paper 10.1109/CITA.2013.6637581 2-s2.0-84890823060 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84890823060&doi=10.1109%2fCITA.2013.6637581&partnerID=40&md5=a91449c01f063745e6911a4384e17509 https://irepository.uniten.edu.my/handle/123456789/29448 6637581 IEEE Computer Society Scopus
institution	Universiti Tenaga Nasional
building	UNITEN Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Tenaga Nasional
content_source	UNITEN Institutional Repository
url_provider	http://dspace.uniten.edu.my/
topic	GUSC model nodal approach personal knowledge management smart devices software agent Autonomous agents Computational methods Education computing Knowledge management Reverse engineering Teaching Conceptual model Explicit knowledge GUSC model Nodal approach Notification systems Personal information management Personal knowledge management Quantitative analysis model Reverse engineering process Smart devices Students
spellingShingle	GUSC model nodal approach personal knowledge management smart devices software agent Autonomous agents Computational methods Education computing Knowledge management Reverse engineering Teaching Conceptual model Explicit knowledge GUSC model Nodal approach Notification systems Personal information management Personal knowledge management Quantitative analysis model Reverse engineering process Smart devices Students Ismail S. Suhaimi S.F.M. Ahmad M.S. The GUSC model in smart notification system: The quantitative analysis and conceptual model
description	A growing interest in personal knowledge management (PKM) against personal information management (PIM) has initiated the reverse engineering process between the two concepts. PKM could be applied to the lower level knowledge hierarchy (i.e. information) to ease the understanding of explicit knowledge concept and in modeling smart devices. On the other hand, one of the common implementations of information management is in the education industry, where students experience less time to meet their lecturers to discuss their learning issues and having inefficient way to communicate via the existing learning management system. This paper investigates the communication problem between students and lecturers outside the classroom, by considering the social media usage among them. Knowing that Web 2.0 technology can be used to connect the two parties, a PKM model, which we called the GUSC model, is used to design a model of an agent-based smart notification system. This paper presents the quantitative analysis on students' GUSC pattern and their need to connect to their lecturers, in order to conceive the agent-based model. � 2013 IEEE.
author2	57225447357
author_facet	57225447357 Ismail S. Suhaimi S.F.M. Ahmad M.S.
format	Conference paper
author	Ismail S. Suhaimi S.F.M. Ahmad M.S.
author_sort	Ismail S.
title	The GUSC model in smart notification system: The quantitative analysis and conceptual model
title_short	The GUSC model in smart notification system: The quantitative analysis and conceptual model
title_full	The GUSC model in smart notification system: The quantitative analysis and conceptual model
title_fullStr	The GUSC model in smart notification system: The quantitative analysis and conceptual model
title_full_unstemmed	The GUSC model in smart notification system: The quantitative analysis and conceptual model
title_sort	gusc model in smart notification system: the quantitative analysis and conceptual model
publisher	IEEE Computer Society
publishDate	2023
_version_	1806424527056404480
score	13.222552

The GUSC model in smart notification system: The quantitative analysis and conceptual model

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