WORLD EXPERIENCE IN IMPROVING QUALITY OF EDUCATION: DIRECTIONS, MEANS, NORMS
Bibliographic record
Abstract
The article deals with the main directions of modernization of the educational system of the European community.Based on the generalization of the experience of improving the quality of education in Western countries, the directions of modernization of education in Ukraine, optimization of higher education and its integration with innovation-oriented production are determined.The purpose of the paper is to justify ways to improve the system of management of the process of modernization of education in Ukraine.The latter is based on the accumulated world experience and is functioning in the context of the realization of the Concept of the implementation of state policy in the sphere of general secondary education reform "New Ukrainian School" for the period up to 2029 and the innovations of the Law of Ukraine "On Higher Education".Higher education financing models, which have been developed in world practice, allow to identify some elements of a new mechanism for education financing in Ukraine.At present, the government and the public are discussing a number of changes to the Law of Ukraine "On Higher Education" and the Tax Code regarding new financial management and the organization of the educational process in general.The reforming of education should be supported by funding.This means that funding should be directly related to the goals, and some incentives should be created to achieve them.The experience of introducing a multi-channel system of financing education with the involvement of non-state sources of funding and expanding the participation of representatives of large and medium-sized businesses in the material support of the system of education, using the system of address financing of students of schools and students of education institutions have shown their effectiveness and are well developed in such countries like Australia, France, Finland, Italy, USA, Japan, Canada.At present, Ukrainian education institutions are gradually stepping up their efforts to enter the world educational space and collaborate with the leading scientific and educational centers of the United States, the European Union.The process of integration of the Ukrainian economy into the world, the entry into the WTO requires taking measures to improve the quality and competitiveness of Ukrainian education in the international educational space, stimulate the growth of exports of educational services by the education system authorities.Successful experience of foreign countries in this area should be taken into account when reforming the national educational system.
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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 | 0.030 | 0.020 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.007 |
| Science and technology studies | 0.005 | 0.031 |
| Scholarly communication | 0.019 | 0.012 |
| Open science | 0.001 | 0.010 |
| Research integrity | 0.003 | 0.007 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".