COGNITIVE TECHNOLOGIES FOR MODELING MIGRATION PROCESSES IN EDUCATION

0Citations
Citations of this article
8Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

The cognitive model of regulating educational migration is constructed on the basis of an oriented graph-structured scheme of causal relations between system elements. This model, in contrast to others, combines factors, taking into account their interaction, leaving, and the educational conditions of foreigners, which in balance lead to educational migration. This model also determines the effects for the country, region, university, and individual migrants. The cognitive model is the basis for developing a set of scenarios. Scenario modeling allows for the identification of possible variants for the development of a situation, ways and mechanisms of influencing the situation in order to achieve the desired results and avoid undesirable consequences, and the development of a set of measures to influence the situation. Each scenario is characterized by the initial data, the influence of management, and the obtained result. Thus, all possible variants of system development are considered and the optimal management strategy is chosen to achieve the desired goals. Three core scenarios of development (optimistic, realistic, and pessimistic) were obtained on the basis of the cognitive model of educational migration regulation. Given these scenarios, methodological recommendations can be formulated on the regulation of educational migration in order to attract educational migrants to Ukraine from foreign countries. This will promote the interests of the social economic, political, and demographic development of the country. The implementation of the proposed measures to regulate educational migration will facilitate the integration of domestic education and science into the global system, improve the quality of education and its competitiveness in international markets for educational services, increase income, and offset the negative effects of Ukraine’s demographic decline.

Cite

CITATION STYLE

APA

Sergienko, O., Mashchenko, M., Gavkalova, N., Chernova, N., & Lola, Y. (2022). COGNITIVE TECHNOLOGIES FOR MODELING MIGRATION PROCESSES IN EDUCATION. Public Policy and Administration, 21(2), 22–38. https://doi.org/10.13165/VPA-22-21-2-04

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free