IDEAS home Printed from https://ideas.repec.org/a/ids/ijtrgm/v18y2023i2-3p184-194.html
   My bibliography  Save this article

International education and export of educational services in the age of intelligent machines: from training of digital personnel to machine learning

Author

Listed:
  • Veronika V. Yankovskaya
  • Mikhail Yu. Zakharov
  • Liliya A. Kripakova
  • Tatiana V. Panova

Abstract

The goal of this paper is to find out the specifics and to substantiate various strategic approaches to increasing the export of educational services and international education for developed and developing countries in the age of intelligent machines based on the training of digital personnel and machine learning, as well as to develop recommendations on the practical implementation of these approaches during the COVID-19 pandemic and crisis. The originality of this research consists in consideration of the digital context - the age of intelligent machines - in which development of international education and export of educational services takes place. The vivid negative influence of the COVID-19 pandemic and crisis has been proved; due to it, the level of machine learning in developed countries will decrease by 23.50%, and the level of training of digital personnel in developing countries will decrease by 7.18%.

Suggested Citation

  • Veronika V. Yankovskaya & Mikhail Yu. Zakharov & Liliya A. Kripakova & Tatiana V. Panova, 2023. "International education and export of educational services in the age of intelligent machines: from training of digital personnel to machine learning," International Journal of Trade and Global Markets, Inderscience Enterprises Ltd, vol. 18(2/3), pages 184-194.
  • Handle: RePEc:ids:ijtrgm:v:18:y:2023:i:2/3:p:184-194
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=135617
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ids:ijtrgm:v:18:y:2023:i:2/3:p:184-194. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sarah Parker (email available below). General contact details of provider: http://www.inderscience.com/browse/index.php?journalID=130 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.