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An IoT Virtual eLearning Space

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Transactions on Computational Collective Intelligence XXXV

Part of the book series: Lecture Notes in Computer Science ((TCCI,volume 12330))

Abstract

This paper presents the Virtual eLearning Space implemented as an Internet of Things ecosystem. The components of the space inhabit three layers – a sensing layer, an operative and analytical layer, and a cognitive layer, which are described in more detail. One of the advantages of the space is that integrating the virtual world with the physical world of the university campus provides effective support to disabled students. This new opportunity is demonstrated by an example scenario. At the same time, VeLS is enhanced to be a reference architecture that can be adapted for new IoT applications. In the reference architecture, virtualization of “things” is supported by three formal tools – AmbiNet, TNet, and ENet. Future directions are also briefly discussed.

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Acknowledgment

The authors wish to acknowledge the partial support of the National Program “Young Scientists and Postdoctoral Students” of the Ministry of Education and Science in Bulgaria, 2018–2019.

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Authors and Affiliations

  1. University of Plovdiv, Plovdiv, Bulgaria

    Emil Doychev, Asya Stoyanova-Doycheva, Stanimir Stoyanov, Todorka Glushkova & Vanya Ivanova

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  1. Emil Doychev
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  2. Asya Stoyanova-Doycheva
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  3. Stanimir Stoyanov
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  4. Todorka Glushkova
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  5. Vanya Ivanova
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Corresponding author

Correspondence to Emil Doychev .

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Editors and Affiliations

  1. Department of Information Systems, Wroclaw University of Science and Technology, Wroclaw, Poland

    Ngoc Thanh Nguyen

  2. Faculty of Information and Communication Technologies, Swinburne University of Technology, Hawthorn, VIC, Australia

    Ryszard Kowalczyk

  3. WSB University in Wroclaw, Wroclaw, Poland

    Jacek Mercik

  4. WSB University in Wroclaw, Wroclaw, Poland

    Anna Motylska-Kuźma

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Doychev, E., Stoyanova-Doycheva, A., Stoyanov, S., Glushkova, T., Ivanova, V. (2020). An IoT Virtual eLearning Space. In: Nguyen, N.T., Kowalczyk, R., Mercik, J., Motylska-Kuźma, A. (eds) Transactions on Computational Collective Intelligence XXXV. Lecture Notes in Computer Science(), vol 12330. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-62245-2_10

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  • DOI: https://doi.org/10.1007/978-3-662-62245-2_10

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  • Online ISBN: 978-3-662-62245-2

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