The Effect of Pre-Service Teachers’ Life Skills on Teacher Self-Efficacy
Bibliographic record
Abstract
The aim of this study is to find out the extent to which pre-service teachers’ life skills predict their sense of self-efficacy. The study employed a relational screening model within the quantitative research paradigm and included 195 pre-service teachers in Mimar Sinan Fine Arts University Pedagogical Formation Program. The data was collected through a life skills scale, a teacher self-efficacy scale and a questionnaire. The findings indicated a significant strong positive correlation between pre-service teachers’ life skills and their sense of self-efficacy in teaching (r=.624). Life skills accounted for 38.9 of the variance in teacher sense of self-efficacy. There were not any significant differences in teacher sense of self-efficacy between males and females, graduates and non-graduates, participants and non-participants in life skills training (p>0.05). The sense of self-efficacy of pre-service teachers with teaching experience was found to be higher than that without it (p<0.05).
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".