Structural Model Development: Branches, Attitudes and Self-Effıcacy of Pedagogical Formation Program Pre-Service Teachers
Bibliographic record
Abstract
In this study, the relationship between attitudes of pedagogical formation program pre-service teachers towards teaching profession and their self-efficacies has been examined. In this case, the effect of graduation branches of the pre-service teachers on teacher self-efficacies and the effect of teacher self-efficacies on attitudes towards teaching profession have been investigated. From this aspect, this research has the characteristics of causal-comparative research. Being suitable for the purpose of this research, it has been carried out with 300 pre-service teachers registered to pedagogical formation training certificate program at a state university in Turkey. Being conducted on pre-service teachers and established scaling models incidental to “Attitude Scale towards Teaching Profession” and “Teacher Self-Efficacy Scale” has been confirmed and the conformity index values obtained from the scaling model have shown good conformity. It is also seen that the structural equation model which is established in order to test the effect of branches on teacher self-efficacies and the effect of teacher self-efficacies on attitudes towards teaching profession has been confirmed and conformity index values have shown good conformity.
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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 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.011 | 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".