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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Molecular Diversity Preservation International (MDPI)
2011
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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. |
format | Online Article Text |
id | pubmed-3231729 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | Molecular Diversity Preservation International (MDPI) |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT kimsvetlana smartlearningservicesbasedonsmartcloudcomputing AT songsumi smartlearningservicesbasedonsmartcloudcomputing AT yoonyongik smartlearningservicesbasedonsmartcloudcomputing |