Second-Generation Migrants in Russia of the Age 18–30 Years Old: Characteristics of the Structural Integration

Varshaver, Evgeni; Rocheva, Anna; Ivanova, Nataliya

doi:10.17922/2071-3665-2017-16-5-63-72

Cited by 1 publication

(2 citation statements)

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“…Qualitative interviews were conducted in Moscow, Sverdlovsk and Tver regions, as well as in the Krasnodar Territory. In addition, the methodology of in-depth regional research was tested in the Krasnodar Territory, which allows us to study the context of integration of the second generation [21]. The level of education received was analyzed separately for students (education is in the process) and separately for the age group of 24-30 years (education received).…”

Section: Methodsmentioning

confidence: 99%

“…The level of education received was analyzed separately for students (education is in the process) and separately for the age group of 24-30 years (education received). The results of the survey, as well as data on socio-demographic characteristics describing the wealth and income of informants aged 18-30 years and their families, as well as the characteristics of their education or training, were placed in a special data array [21]. The empirical basis for analyzing data on the level of education and qualifications of migrants was the results of a study conducted by the Center for Ethnic and Regional Studies commissioned by the Higher School of Economics.…”

Section: Methodsmentioning

confidence: 99%

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Using Digital Educational Technology in the Migrant Adaptation Process

Antsiferova¹,

Antsiferova²,

Koltsov³

et al. 2020

Proceedings of the International Scientific Conference “Digitalization of Education: History, Trends and Prospects” (DETP 2020)

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The article discusses the role of digital education in the process of adaptation of migrants. Based on an analysis of existing Russian and European studies, the authors conclude that training is crucial for the successful adaptation and integration of migrants in the host environment. The Russian practices of digital education are analyzed. Based on the study, it was concluded that the existing digital educational resources are not enough for the process of training migrants to meet their needs. On the example of a portrait of a Russian migrant obtained empirically, recommendations are given on the development of personalized educational content. The authors recommend this content to be differentiated for different groups of migrants according to a number of signs. These include: the degree of language proficiency and the level of education of migrants, as well as the region of his new residence.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%