Supporting Durham Catholic School District teachers in implementing movement integration: understanding and addressing the barriers through teacher coaching
Bibliographic record
Abstract
Movement integration (MI) is short bursts of physical activity (PA) within classrooms during school hours. Despite cited benefits of MI, it is not well utilized by teachers. MI barriers include lack of time and confidence, safety concerns, and classroom disarray. Teacher coaching may help mitigate these issues. Teacher participants (n=12) at seven elementary schools were interviewed on their perceived barriers to MI. An MI specialist visited each teacher three times for five to ten minutes over three weeks to coach the teacher and class through MI activities. Results indicated a statistically significant increase in self-reported MI by teachers from pre to post-implementation (Z = -2.138, p = 0.0165, r = 0.6), improved teacher confidence (p = 0.048), and a strong, positive correlation (????? = 0.627, p = 0.018) between confidence and competence. Findings indicate that teacher coaching may be an effective strategy to supporting teachers in overcoming barriers to MI.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".