Title: A new educational model for training digital personnel and intelligent machines: standardisation vs. flexibility

Authors: Aleksei V. Bogoviz; Alexander N. Alekseev; Svetlana V. Lobova; Vladimir S. Osipov

Addresses: Moscow, Russia ' Financial University under the Government of the Russian Federation, Moscow, Russia and Plekhanov Russian University of Economics, Moscow, Russia ' Altai State University, Barnaul, Russia ' Moscow State Institute of International Relations (University) of the Ministry of Foreign Affairs of the Russian Federation, Moscow, Russia

Abstract: The purpose of this article is to find the optimal ratio of standardisation and flexibility in a new model of education for training digital personnel and teaching intelligent machines in emerging economies. Originality of this research consists in distinguishing different categories of emerging economies by the criterion of specialisation of their educational systems: training of digital personnel or teaching of intelligent machines. This allows determining various needs to change the economic policy in these categories of countries and determining the most precise and detailed empirical landmarks for them. Training of digital personnel and training of intelligent machines is considered in the systemic way, but at the same time separately. This allows finding the perspectives of joint and separate implementation of these strategic landmarks in emerging economies.

Keywords: economic policy; new model of education; training digital personnel; teaching intelligent machines; standardisation; flexibility; emerging economies.

DOI: 10.1504/IJEPEE.2024.139085

International Journal of Economic Policy in Emerging Economies, 2024 Vol.19 No.3/4, pp.234 - 247

Received: 04 Nov 2020
Accepted: 12 Mar 2021
Published online: 12 Jun 2024 *

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