Self-Efficacy of Physical and Health Education Student Teachers in the Quebec Context
Bibliographic record
Abstract
Abstract Pre-service training is a critical period for establishing the beliefs of future teachers in their ability to successfully assume their responsibilities as teachers. One of the goals of teacher education programs would therefore be to cultivate a high sense of competence among students. For this purpose, a scale to measure the perception of self-efficacy (PSE) among Quebec physical and health education trainees during teaching has been developed and empirically validated. Teacher trainees (n = 232) enrolled in 3 rd and 4 th year in the Bachelor of Education in Physical and Health Education (PHE) in four different university programs in Quebec participated in the study. Subsequent exploratory and quasi-confirmatory factor analyses led to the development of an instrument with 19 items divided into three factors, explaining 66.10 % of the total variance. The convergent and divergent measures of validity are satisfactory, as are those of the reliability of the three scales (upper lower limit: .78 to .93). Finally, the RMSR, CFI, RMSEA and NNFI indices show an excellent goodness of fit of the model obtained.
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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 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".