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A Model of Smart Learning System Based on Elastic Computing

Authors: Svetlana Kim; Yongik Yoon 0001;

A Model of Smart Learning System Based on Elastic Computing

Abstract

In recently, learners have always mobile devices including smart phones so that is collecting user's behavior by sensors mounted on the devices. This paper proposes a new notion for smart learning system by using the concept of elastic computing in cloud computing. The notion is Elastic 4S (Smart Pull, Smart Prospect, Smart Content and Smart Push) for the smart service. We focus on the benefits of smart computing for e-learning solution using handle intelligently to meet user's needs through collecting user's behaviors, prospecting, building, delivering, and rendering steps. The proposed smart-learning model will show the personalized and customized learning services to be possible in various fields.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
3
Average
Average
Average
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