State of Ukraine’s Educational Services.How attractive is it for Indian Students?
Bibliographic record
Abstract
Education services form an integral part of today’s modern and globalized world. A society’s course of development may be decided by the state of educational services in the society. The educational services sector, which was initially open to only public institutions, has seen a change. With the increased globalization and introduction of good medium of communication, people have access to education institutions worldwide. Students not only benefit from the expertise developed by the educational institutions, but they also benefit by the wide cross section of classroom having students from different parts of the world. It helps students, develop and understand the view of different geographies. As we are moving towards rapid globalization in our business, there is an increase in more students going abroad for their higher education. The population explosion around the world has also triggered a process of continued expansion and liberalization in this sector. With more and more students demanding educational services the government has had to open up the sector for both domestic and foreign private investors. Educational services are also enlisted under General Agreement on Trade and Services (GATS). However, ironically, not withstanding the importance of this sector it remains one of the least committed sectors under GATS. There are many factors that inhibit trade between countries in this sector. A few big factors are quality assurance, policy control, accreditations standardization and other country specific issues. Despite, barriers, students cross the border and seek admissions in foreign universities. China, India, Korea are sending large number of students mostly to Western universities. Almost 200,000 Indian students went abroad for higher education in the year 2012. Major destinations are US, UK and Canada. However recently the rules for immigration to these countries have been made more stringent. Consequently, this group of internationally mobile students has had to look at other destinations for higher studies. Ukraine has emerged as a major hub for higher education along with China and other European countries. In the year 2012 Ukraine had almost 40,000 international students. Moreover of these 40,000 students almost 2,500 students were from India. These figures show the growing trend of Indian students going to Ukraine for higher studies. Ukraine, with over 100 higher education institutions, produces the world’s fourth largest number of academic graduates. The Ukrainian universities are some of the oldest in the world and therefore have rich history and international level infrastructure. Furthermore, the degrees of Ukrainian universities are internationally recognized. On the other hand, India has the most number of students studying abroad after China. It goes without saying that there is a lot achieve through mutual cooperation between India and Ukraine.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.024 | 0.005 |
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 source (direct Gemma or distilled Codex), 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".