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2021 | OriginalPaper | Chapter

An Architecture for Intelligent e-Learning Platform for Student’s Lab Deployment

Authors : Peter Mikulecky, Vladimir Sobeslav, Matej Drdla, Hana Svecova

Published in: Context-Aware Systems and Applications, and Nature of Computation and Communication

Publisher: Springer International Publishing

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Abstract

For better understanding and better learning of new technologies, there is welcome to have some hands-on experiences with these subjects. This helps with knowledge adoption and also increases learning efficiency. In this article, there is analyzed inputs for a proposal of this system and requirements, which should be meet for such system, and also there is identified learning subjects and areas, which could use this tools. This article deals with and describes an architecture, which can help with automation and deployment labs, which can students use for learning and their research. There is described the architecture for a system, which is able to deploy these environment into more cloud type providers and also is open and able to handle more types run-time technologies, especially virtualization (e.g. OpenStack, Kubernetes and more). The architecture describes platform, which consists an portal or a learning web-based tool, which can be used for learning and also for interface of student labs, which can be automatically deployed based on input conditions with automation tools to some public or private cloud services.

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Metadata
Title
An Architecture for Intelligent e-Learning Platform for Student’s Lab Deployment
Authors
Peter Mikulecky
Vladimir Sobeslav
Matej Drdla
Hana Svecova
Copyright Year
2021
DOI
https://doi.org/10.1007/978-3-030-67101-3_23

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