SHS Web Conf.
Volume 69, 2019The International Scientific and Practical Conference “Current Issues of Linguistics and Didactics: The Interdisciplinary Approach in Humanities and Social Sciences” (CILDIAH-2019)
|Number of page(s)||5|
|Published online||25 October 2019|
The process of self-identification of foreign students at the Technical University
Ufa State Petroleum Technological University, Branch of the University in the City of Oktyabrsky,
54a, Devonskaya St.
Oktyabrsky, Republic of Bashkortostan
* Corresponding author: firstname.lastname@example.org
In this article we present the empirical base of the study, which consists of data obtained from social surveys of students of the branch of the Ufa State Oil Technical University in Oktyabrsky. The nationality of the respondents was stated according to self-identification of representatives of different nationalities living in the territory of different countries of the near and far abroad. The study involved 114 respondents aged from 17 to 21. The study applied a wide range of methods for collecting and processing empirical information. The authors applied some diagnostic techniques and methods of information collection used in the works of Russian researchers. The questionnaire (social survey) was used to study general demographic information, as well as to study the affective component of the national consciousness of foreign students – a sense of national identity and related emotional experiences.
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.