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

Authors: Veronika V. Yankovskaya; Mikhail Yu. Zakharov; Liliya A. Kripakova; Tatiana V. Panova

Addresses: Department of Political Analysis and Socio-Psychological Processes, Plekhanov Russian University of Economics, Moscow, 115093, Russia ' Department of Philosophy, State University of Management, Moscow, 109542, Russia ' Institute of Linguistics and Intercultural Communication, Sechenov First Moscow State Medical University of the Ministry of Health of the Russian Federation (Sechenov University), Moscow, 119435, Russian Federation ' Department of International Regional Studies and Regional Management, Russian Presidential Academy of National Economy; Public Administration, Moscow, 119571, Russia

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%.

Keywords: international trade; global market; economic empowerment; manufacturing innovation; industrial innovation; inclusive innovation; intelligent machines; international education; export of educational services; training of digital personnel; machine learning.

DOI: 10.1504/IJTGM.2023.135617

International Journal of Trade and Global Markets, 2023 Vol.18 No.2/3, pp.184 - 194

Received: 25 Dec 2020
Accepted: 22 Apr 2021
Published online: 19 Dec 2023 *

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