Assessment of the Economic Effectiveness of Academic Mobility on Graduate Employment
| Autor: | Sh. A. Yessimova, L. A. Khasenova, Sh. S. Mirzaev |
|---|---|
| Jazyk: | English<br />Kazakh<br />Russian |
| Rok vydání: | 2024 |
| Předmět: | |
| Zdroj: | Экономика: стратегия и практика, Vol 18, Iss 4, Pp 22-39 (2024) |
| Druh dokumentu: | article |
| ISSN: | 1997-9967 2663-550X |
| DOI: | 10.51176/1997-9967-2023-4-22-39 |
| Popis: | The study was aimed at conducting a comprehensive analysis of academic mobility and its economic impact on the employment of university graduates. Materials and methods: correlation coefficients were calculated in the work, and the chi-square statistical test was used to check the presence of a relationship between qualitative variables. Logistic regression has been exploited to identify the cause-and-effect relationships. Field research was also taken into account by including an expert survey of 47 students (72.3% bachelors, 23.4% masters and 4.3% doctoral students) of SCU, who underwent academic mobility in foreign countries (Latvia, Lithuania, Poland, Spain, Romania, Turkey, Germany, Czech Republic, France, Italy, Slovenia, Slovakia, Great Britain, Austria, Hungary, etc.). Results of the study: The research applied quanti-tative and qualitative methods of analysis, and a survey among students made it possible to identify many advantages of academic mobility. SWOT analysis of academic mobility in Kazakhstani universities was used to identify weaknesses, strengths with the primary preferences of students to improve their competencies and skills, which in the future will allow them to find a placement and influence their competitiveness. Discussion and conclusion: The calculation of the correlation coefficients used and the chi-square test revealed that the presence of a relationship between the dependent variable and other questions of the questionnaire that were given in the work assisted to detect pairwise relationships and build a multivariate logistic model. The resulting model allows us to summarise that it can be used in predicting academic mobility in respect with employment opportunities. |
| Databáze: | Directory of Open Access Journals |
| Externí odkaz: |
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