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

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Context-Aware Systems and Applications, and Nature of Computation and Communication (ICCASA 2020, ICTCC 2020)

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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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Acknowledgment

This work and the contribution were supported by a Specific Research Project, Faculty of Informatics and Management, University of Hradec Kralove, Czech Republic. We would like to thank Mr. Lubos Mercl, a graduate of Faculty of management and informatics, University of Hradec Kralove, for the practical verification of the pro-posed solutions and close cooperation in the solution.

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Authors and Affiliations

  1. Faculty of Informatics and Management, University of Hradec Kralove, Rokitanskeho 62, 50003, Hradec Kralove, Czech Republic

    Peter Mikulecky, Vladimir Sobeslav, Matej Drdla & Hana Svecova

Authors
  1. Peter Mikulecky
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  2. Vladimir Sobeslav
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  3. Matej Drdla
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  4. Hana Svecova
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Corresponding author

Correspondence to Vladimir Sobeslav .

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Editors and Affiliations

  1. Nguyen Tat Thanh University, Ho Chi Minh City, Vietnam

    Phan Cong Vinh

  2. The University of the West of England, Bristol, UK

    Abdur Rakib

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Mikulecky, P., Sobeslav, V., Drdla, M., Svecova, H. (2021). An Architecture for Intelligent e-Learning Platform for Student’s Lab Deployment. In: Vinh, P.C., Rakib, A. (eds) Context-Aware Systems and Applications, and Nature of Computation and Communication. ICCASA ICTCC 2020 2020. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 343. Springer, Cham. https://doi.org/10.1007/978-3-030-67101-3_23

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  • DOI: https://doi.org/10.1007/978-3-030-67101-3_23

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-67100-6

  • Online ISBN: 978-3-030-67101-3

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