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Spatial Analysis of Well-Being in Language Learning from the Point of View of War Migrants from Ukraine

Author

Listed:
  • Krzysztof Flasinski
  • Elzbieta Szaruga
  • Agnieszka Szlachta
  • Sylwia Kowalska

Abstract

Purpose: The article concerns the verification of spatial interdependencies of well-being in language learning of war migrants from Ukraine and the exploration of hidden variables of this index in connection with the region of the last residence. The article formulated three research questions: (1) Is there a relationship between the region of the last residence of war migrants and the previous knowledge of the Polish language and the channels of obtaining information in Poland? (2) Are there connections between education and the region of the last residence of war migrants, which affects well-being in language learning? (3) Is there spatial interdependence for well-being in language learning? In other words, does the proximity of regions affect each other in terms of spreading the Polish language and cause a higher level of well-being in language learning? Design/Methodology/Approach: The study covered 260 war migrants from Ukraine in 2022, which is 1.13% of people who registered applications for granting the status of a foreigner UKR in connection with the conflict in Ukraine in the Zachodniopomorskie Voivodship. Spatial data mining was carried out using spatial econometric techniques: LISA and Moran I statistics. Findings: The influence of the neighborhood on the spread of the Polish language and the influence of latent variables i.e. education, previous knowledge of the language, and the use of information channels in Poland on the sense of well-being in language learning were confirmed. Convergence between the regions of Ukraine, which are closer to each other, was noticed in the perception of well-being in language learning, which also had its source in education and previous knowledge of the language (e.g. through trips to Poland, contact with Polish culture and literature, contact with the language at home, school, work, etc.). Practical Implications: Research results indicate hidden factors affecting well-being in language learning in a foreign country. This knowledge is important for formulating recommendations in socio-economic policy, especially educational policy for war migrants, shaping curricula with particular emphasis on the profiles of migrants, and from the point of view of spatial processes. Originality/value: The research presented in the article is innovative and fills the cognitive gap in the field of well-being in language learning. Research is interdisciplinary in the fields of global economics, spatial econometrics, human capital management, the economics of education, socio-economic geography, and culture studies or neurocognitive studies.

Suggested Citation

  • Krzysztof Flasinski & Elzbieta Szaruga & Agnieszka Szlachta & Sylwia Kowalska, 2024. "Spatial Analysis of Well-Being in Language Learning from the Point of View of War Migrants from Ukraine," European Research Studies Journal, European Research Studies Journal, vol. 0(2), pages 849-867.
  • Handle: RePEc:ers:journl:v:xxvii:y:2024:i:2:p:849-867
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    References listed on IDEAS

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    1. Elżbieta Szaruga & Elżbieta Załoga, 2022. "Sustainable Development Programming of Airports by Identification of Non-Efficient Units," Energies, MDPI, vol. 15(3), pages 1-19, January.
    2. Lorenzen, Gunter, 1992. "A reformulation of Pearson's Chi-square statistic and some extentions," Statistics & Probability Letters, Elsevier, vol. 14(4), pages 327-331, July.
    3. Shuang Li & Weiwei Zhang, 2021. "Living in Ethnic Areas or Not? Residential Preference of Decimal Generation Immigrants among Asian Indians, Japanese, Chinese, Koreans, Filipinos, and Vietnamese," Social Sciences, MDPI, vol. 10(6), pages 1-17, June.
    4. Thamer Alharthi, 2020. "Can Adults Learn Vocabulary through Watching Subtitled Movies’ An Experimental Corpus-Based Approach," International Journal of English Language and Literature Studies, Asian Economic and Social Society, vol. 9(3), pages 219-230.
    5. Maciej Duszczyk & Paweł Kaczmarczyk, 2022. "The War in Ukraine and Migration to Poland: Outlook and Challenges," Intereconomics: Review of European Economic Policy, Springer;ZBW - Leibniz Information Centre for Economics;Centre for European Policy Studies (CEPS), vol. 57(3), pages 164-170, May.
    6. Nnenna Gertrude Ezeh & Ojel Clara Anidi & Basil Okwudili Nwokolo, 2021. "Media-Support Teaching and Learning of English Language as a Second Language: Eliminating Stereotypes," English Language Teaching, Canadian Center of Science and Education, vol. 14(4), pages 1-94, April.
    7. Yunqi Zhou & Fengwei Wang & Shijian Zhou, 2023. "The Spatial Patterns of the Crime Rate in London and Its Socio-Economic Influence Factors," Social Sciences, MDPI, vol. 12(6), pages 1-18, June.
    8. Thamer Alharthi, 2020. "Can Adults Learn Vocabulary through Watching Subtitled Movies? An Experimental Corpus-Based Approach," International Journal of English Language and Literature Studies, Asian Economic and Social Society, vol. 9(3), pages 219-230, September.
    9. Baak, M. & Koopman, R. & Snoek, H. & Klous, S., 2020. "A new correlation coefficient between categorical, ordinal and interval variables with Pearson characteristics," Computational Statistics & Data Analysis, Elsevier, vol. 152(C).
    10. Daniel Lambton-Howard & Jieun Kiaer & Ahmed Kharrufa, 2021. "‘Social media is their space’: student and teacher use and perception of features of social media in language education," Behaviour and Information Technology, Taylor & Francis Journals, vol. 40(16), pages 1700-1715, December.
    11. Maryam Sadiq & Tahir Mehmood & Muhammad Aslam, 2019. "Identifying the factors associated with cesarean section modeled with categorical correlation coefficients in partial least squares," PLOS ONE, Public Library of Science, vol. 14(7), pages 1-17, July.
    12. Raniah Kabooha, 2016. "Using Movies in EFL Classrooms: A Study Conducted at the English Language Institute (ELI), King Abdul-Aziz University," English Language Teaching, Canadian Center of Science and Education, vol. 9(3), pages 248-248, March.
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    More about this item

    Keywords

    Language learning; spatial analysis; Ukraine; war migration; well-being.;
    All these keywords.

    JEL classification:

    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • I3 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty
    • Z13 - Other Special Topics - - Cultural Economics - - - Economic Sociology; Economic Anthropology; Language; Social and Economic Stratification

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