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Smart Learning Services Based on Smart Cloud Computing

Context-aware technologies can make e-learning services smarter and more efficient since context-aware services are based on the user’s behavior. To add those technologies into existing e-learning services, a service architecture model is needed to transform the existing e-learning environment, whic...

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Detalles Bibliográficos
Autores principales: Kim, Svetlana, Song, Su-Mi, Yoon, Yong-Ik
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Molecular Diversity Preservation International (MDPI) 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3231729/
https://www.ncbi.nlm.nih.gov/pubmed/22164048
http://dx.doi.org/10.3390/s110807835
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author Kim, Svetlana
Song, Su-Mi
Yoon, Yong-Ik
author_facet Kim, Svetlana
Song, Su-Mi
Yoon, Yong-Ik
author_sort Kim, Svetlana
collection PubMed
description Context-aware technologies can make e-learning services smarter and more efficient since context-aware services are based on the user’s behavior. To add those technologies into existing e-learning services, a service architecture model is needed to transform the existing e-learning environment, which is situation-aware, into the environment that understands context as well. The context-awareness in e-learning may include the awareness of user profile and terminal context. In this paper, we propose a new notion of service that provides context-awareness to smart learning content in a cloud computing environment. We suggest the elastic four smarts (E4S)—smart pull, smart prospect, smart content, and smart push—concept to the cloud services so smart learning services are possible. The E4S focuses on meeting the users’ needs by collecting and analyzing users’ behavior, prospecting future services, building corresponding contents, and delivering the contents through cloud computing environment. Users’ behavior can be collected through mobile devices such as smart phones that have built-in sensors. As results, the proposed smart e-learning model in cloud computing environment provides personalized and customized learning services to its users.
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spelling pubmed-32317292011-12-07 Smart Learning Services Based on Smart Cloud Computing Kim, Svetlana Song, Su-Mi Yoon, Yong-Ik Sensors (Basel) Communication Context-aware technologies can make e-learning services smarter and more efficient since context-aware services are based on the user’s behavior. To add those technologies into existing e-learning services, a service architecture model is needed to transform the existing e-learning environment, which is situation-aware, into the environment that understands context as well. The context-awareness in e-learning may include the awareness of user profile and terminal context. In this paper, we propose a new notion of service that provides context-awareness to smart learning content in a cloud computing environment. We suggest the elastic four smarts (E4S)—smart pull, smart prospect, smart content, and smart push—concept to the cloud services so smart learning services are possible. The E4S focuses on meeting the users’ needs by collecting and analyzing users’ behavior, prospecting future services, building corresponding contents, and delivering the contents through cloud computing environment. Users’ behavior can be collected through mobile devices such as smart phones that have built-in sensors. As results, the proposed smart e-learning model in cloud computing environment provides personalized and customized learning services to its users. Molecular Diversity Preservation International (MDPI) 2011-08-09 /pmc/articles/PMC3231729/ /pubmed/22164048 http://dx.doi.org/10.3390/s110807835 Text en © 2011 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/).
spellingShingle Communication
Kim, Svetlana
Song, Su-Mi
Yoon, Yong-Ik
Smart Learning Services Based on Smart Cloud Computing
title Smart Learning Services Based on Smart Cloud Computing
title_full Smart Learning Services Based on Smart Cloud Computing
title_fullStr Smart Learning Services Based on Smart Cloud Computing
title_full_unstemmed Smart Learning Services Based on Smart Cloud Computing
title_short Smart Learning Services Based on Smart Cloud Computing
title_sort smart learning services based on smart cloud computing
topic Communication
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3231729/
https://www.ncbi.nlm.nih.gov/pubmed/22164048
http://dx.doi.org/10.3390/s110807835
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