Formation of the Future Teacher’s Readiness to Professional Activity in the Dual-Oriented Education Conditions
Bibliographic record
Abstract
The reorientation of society to the market relations was required major changes in the system of vocational education. When employment, the employer is interested not store of theoretical knowledge of graduates of higher and secondary special educational institutions, but their preparedness to fulfillment of professional activities in this area. In connection with these requirements of employers and society in our country, were started the implementation of dual system of education. There has developed the innovative labor market in Kazakhstan. And it is necessary to review the traditional approaches in system of vocational education. However, the educational institutions cannot to shift to the new goals of specialists training yet. "Duality" means "double unity, duality". Dual training, as showed the practice of European education system is the product of close cooperation between educational institutions and employers for successful professional and social adaptation of future specialists. Together with this, given manuscript demonstrates the necessity of dual oriented education in educational system of the Republic of Kazakhstan for enhancement the professional preparation of the specialists
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".