Teaching Practices, Self-Efficacy and the Physical Activity Environment in Aotearoa, New Zealand Early Childhood Education Centres
Bibliographic record
Abstract
Early Childhood Education (ECE) has potential to influence physical activity levels and participation among children. Factors include early childhood educator’s teaching practices, self-efficacy and quality of the movement environment. A cross-sectional study of early childhood teachers’ self-reported, self-efficacy using online Early Childhood Educator Confidence in Outdoor Movement, Physical Activity, Sedentary and Screen Behaviours (ECE-COMPASS) Questionnaire and ECE movement environment from Movement Environment Rating Scale (MOVERS) was assessed. Descriptive statistics were conducted to analyse data. Early childhood teachers (n = 42) rated (means [SD]) for task (7.2 ± 2.3) and barrier (7.0 ± 2.5) self-efficacy (out of 10). ECE (n = 6) movement environment quality (out of 7); 1 (4.0 ± 1.1), 2 (4.0 ± 0.4), 3 (3.8 ± 0.6), 4 (4.0 ± 0.6) and overall total score (4.0 ± 0.3). Early childhood teachers rate themselves as self-efficacious in delivering physical activity; however, quality of the movement environment was adequate.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".