The Formation of the Pedagogical Values of Future Primary School Teachers at the University
Bibliographic record
Abstract
The relevance of this study is due to the search and identifying of effective pedagogical conditions of formation of the modern student, future teacher of primary school, priority orientations on spiritual and moral values of teaching activities, to practical necessity of formation of pedagogical values of a specialist in the field of primary education and the development of a methodological model of the formation of the pedagogical values of future primary school teachers. The purpose of this article is to reveal the essential characteristics of pedagogical values in modern conditions, the identification and justification of pedagogical values of future primary school teachers as the basis for his professionalism, the development of the methodological model of the formation of the pedagogical values of the future specialist in the field of primary education. A leading method of this problem study is a pedagogical experiment (ascertainment, formation and control stages) as well as the method of expert estimations, statistical processing of the quantitative results of the study, testing students, monitoring of their activities. The main results of the research are revealing of essential characteristic of pedagogical values identifying and justifying of pedagogical values of future primary school teachers, elaboration of methodical model of formation of pedagogical values of the primary school teachers. The article can be useful for teachers of higher educational institutions interested in the problem of ways and methods of forming the pedagogical values of students, leading to high achievements in pedagogical activity.
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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 | 0.005 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| 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".