Development of professional competence of present and future teachers under the conditions of transformational processes in education
Bibliographic record
Abstract
Currently, the modern education system is in the process of transformation processes. One of the \ndirections of reforming the education system in Ukraine should be directed at improving the level of \nprofessional competence of teachers, their knowledge, skills and abilities. The purpose of the \nacademic paper is to study approaches to the formation of professional competence of present and \nfuture teachers under the conditions of transformational processes in education. The following \nscientific methods have been used in the academic paper, namely: methods of theoretical analysis and \ndescription – in order to reveal the theoretical and methodological aspects of the development of \nteachers’ professional competence in the conditions of transformational processes in education; \nmethods of grouping, comparison and synthesis - to consider the features of the development of \nprofessional competence of teachers in Canada and Ukraine. In Canada, the development of \nprofessional competence of modern teachers involves the preparation of an exam by educators, which \nwould certify the high level of their effectiveness. Intercultural competence-based teaching methods, \nintroduced at higher educational institutions in Canada, have a positive effect on the formation of \nprofessional competences of future teachers. In Ukraine, the key directions for improving the level of \nprofessional competence of both present and future teachers should be professional selfimprovement, which is achieved through purposeful self-educational activity. The professional \nactivity of a teacher should include love for children, pedagogical foresight, knowledge of the subject \nof activity, pedagogical tact, innovative scientific and pedagogical thinking. The development of \nprofessional competence is a dynamic process of assimilation and modernization of professional \nexperience, which leads to the development of individual professional qualities, the accumulation of \nprofessional experience, which involves continuous development and self-improvement. The \nprofessional competence of teachers allows not only applying basic knowledge and skills, but it also \nforms the ability to carry out practical activities in specific professional situations; it provides creative solutions to professional problems and makes it possible to easily navigate in a professional \nenvironment and possess a culture of work. The formation of teachers’ professional competence \nshould be carried out on the basis of the general provisions of the system approach and the use of \nother scientifically sound approaches.
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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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.005 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.003 |
| 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 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".