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Model for Creating an Adaptive Individual Learning Path for Training Digital Transformation Professionals and Big Data Engineers Using Virtual Computer Lab

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Creativity in Intelligent Technologies and Data Science (CIT&DS 2021)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1448))

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Abstract

The paper formulates key aspects of a strategy for training highly qualified and in-demand IT professionals in the fields of advanced analytics and Big Data processing for solving the most urgent problems of digital transformation and data-driven business. It analyzes the problems of modern distance education (e-learning) and ways to overcome them with the use of an innovative training data center based on the principles of self-organization and cybernetics 2.0. The model presented is designed to help in the creation of individual educational trajectories and knowledge management. It is based on fuzzy logic and makes it possible to automate control of the educational process, with consideration for different mentalities and capabilities, while reducing the work of the teacher.

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Author information

Authors and Affiliations

  1. Dubna State University, Universitetskaya st.19, 141980, Dubna, Russian Federation

    Stanislav Grishko, Mikhail Belov, Evgeniya Cheremisina & Petr Sychev

Authors
  1. Stanislav Grishko
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  2. Mikhail Belov
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  3. Evgeniya Cheremisina
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  4. Petr Sychev
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Corresponding author

Correspondence to Stanislav Grishko .

Editor information

Editors and Affiliations

  1. Volgograd State Technical University, Volgograd, Russia

    Alla G. Kravets

  2. Volgograd State Technical University, Volgograd, Russia

    Maxim Shcherbakov

  3. Volgograd State Technical University, Volgograd, Russia

    Danila Parygin

  4. University of Patras, Patras, Greece

    Peter P. Groumpos

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Grishko, S., Belov, M., Cheremisina, E., Sychev, P. (2021). Model for Creating an Adaptive Individual Learning Path for Training Digital Transformation Professionals and Big Data Engineers Using Virtual Computer Lab. In: Kravets, A.G., Shcherbakov, M., Parygin, D., Groumpos, P.P. (eds) Creativity in Intelligent Technologies and Data Science. CIT&DS 2021. Communications in Computer and Information Science, vol 1448. Springer, Cham. https://doi.org/10.1007/978-3-030-87034-8_36

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  • DOI: https://doi.org/10.1007/978-3-030-87034-8_36

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-87033-1

  • Online ISBN: 978-3-030-87034-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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