Using the tool-kit of cognitive modeling within the analysis of a vector educational migration

Introduction. The main problem of the study is revealing qualitative and quantitative characteristics of the impact of a set of such interrelated factors as legal, economic, socio-psychological, etc. on the vector of educational migration. The research investigation is based on an analysis of statistical data and the results of a pilot sociological study. The purpose of the article is to analyze the influence of various factors on the level of vector educational migration as a component of migration processes in the context of a border region of Russia (with the main focus on Omsk region) using the tool-kit of cognitive modeling. Materials and Methods. The authors have employed cognitive modeling methodology, which enables to solve problems characterized by a multicomponent system of factors, the complexity to formalize the relationships between them and the need to take into account the influence of the external environment. The methodologies for sociological and statistical research have been used to analyze the problem area and identify the basic factors of the cognitive model. Results. The current trends of the international labor and educational services market have been described within the context of globalization; some interrelations between labor and educational migration have been revealed and the peculiarities of migration processes in the Omsk region have been discovered. The statistical data taken from open Internet sources and the results of the pilot sociological survey made it possible to identify some fundamental key factors of vector migration in the Omsk region; taking into account their interrelation and environmental conditions a cognitive model has been developed. Using the software implemented by MS Excel, the working process with the cognitive model was automated and a series of simulation experiments was performed, which allowed to identify the effect of changing one or several impulses on the level of educational, labor and vector migration. The results obtained during the research could serve as a basis of an effective migration policy, including educational one, in the Omsk region. Conclusions. In the course of the study, the peculiarities of the influence of various factors (legal factors, geographical proximity, economic factors, discrimination and higher education quality in Russia) on the level of vector educational migration as a component of migration processes in the Omsk region were revealed using the tools of cognitive modeling.