Постановка проблемы обучения казахских студентов за рубежом и возможные пути ее преодоления
Bibliographic record
Abstract
This article is devoted to the study of “Cross-cultural studies of stress resistance and resilience of students studying abroad”. The subject of cross-cultural research is the characteristics of the psyche of people from the point of view of their determination by sociocultural factors specific to each of the compared ethnocultural communities. The article presents various concepts and points of view, the focus of which is the problem of determining sociocultural factors. Over the past ten years in the world, the number of students re-ceiving higher education outside the country of residence (mobile students) has increased by almost 70%. Now the leaders of international education are still English-speaking countries - the USA, Great Britain, Australia, Canada and New Zealand, as well as Germany and France. They account for more than 60% of mobile students. The number of students from Kazakhstan abroad has doubled. Accord-ing to 2018 About 89 thousand citizens of Kazakhstan are studying abroad, of which more than 69 thousand students are studying in the Russian Federation, almost 5 thousand students in Kyrgyzstan, Turkey, the United States, Great Britain, the Czech Republic and Malaysia. At the same time, the data of the German Center for Higher School Research and Scientific Research DAAD indicate that 45% of mobile students prematurely stop studying for a bachelor’s degree, 29% - stop (not finish) their studies in a magistracy. DAAD analyzed the reasons that often impede the successful education of mobile students abroad, especially in Germany: 1. The differences between expectations and the real-ity of life; 2. Institutional heterogeneity; 3. Language problems; 4. Lack of preparedness for studying at the university and for everyday life; 5. Financing studies at a university; 6. Professional prospects of students; 7. Social exclusion or segregation; 8. Residence permit and other necessary administrative conditions; 9. Stress and other emotional stress. The causes of the problems and difficulties of teach-ing Kazakh students abroad are currently not well understood. Even the statistics on Kazakh students studying abroad in different sources vary greatly. A psychological analysis of the difficulties and ways to overcome them by Kazakh students to successfully complete their studies abroad has not yet been carried out, first of all, an analysis of the level of stress and other emotional stresses of students during the entire training. Key words: Mobile students, Kazakh students studying abroad, analysis of the difficulties studying abroad and termination of by students.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".