A mixed method investigation of teacher-identified barriers, facilitators and recommendations to implementing daily physical activity in Ontario elementary schools
Bibliographic record
Abstract
BACKGROUND: Fewer than 17% of children worldwide are meeting the international recommendations for daily physical activity. Since most children are in school for the bulk of their day, the classroom has been identified as an ideal space to incorporate physical activity opportunities. In Ontario (Canada), the Daily Physical Activity (DPA) policy aims to ensure all elementary school children receive a minimum of 20 min of moderate to vigorous physical activity each school day during instructional time. However, a 2015 evaluation found that only half of Ontario teachers were meeting this expectation; this work advocated for additional research to monitor implementation and its predictors and to further identify fidelity recommendations. Thus, the current study investigated contemporary factors influencing DPA fidelity in Ontario elementary schools and provides teacher-identified recommendations to support DPA implementation. METHODS: The first part of the study was a quantitative approach surveying 186 elementary school teachers across Ontario. Descriptive statistics including frequencies and means were used to characterize barriers, facilitators, and recommendations to DPA implementation. Spearman's correlations were used to assess the relation between the likelihood of DPA implementation and intrapersonal factors of gender, teaching experience, prior DPA training and personal physical activity participation. The second part of the study consisted of a qualitative approach using teacher interviews to explore in-depth teachers' recommendations to support DPA implementation. A thematic analysis was used to analyze the transcripts and identify recommendations for DPA. RESULTS: Survey results showed that only 23% of teachers met the mandated 20 min of DPA per day. Barriers to implementation included space and time constraints, inadequate training, student behavioural issues and low self-efficacy. Gender, teaching experience and prior DPA training were not related to the likelihood of DPA implementation. Teachers who rated themselves as more physically fit were more likely to implement DPA. Teacher interviews elucidated key areas for improving DPA implementation including greater DPA training opportunities, resources, community partnerships, accountability and strategies that support school-wide implementation. CONCLUSION: The current study demonstrated that fidelity to the DPA policy in Ontario elementary schools is on the decline. This work highlights unique factors implicated in DPA fidelity and brings to the forefront teacher recommendations to improve DPA implementation.
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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 | 0.011 | 0.019 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.008 | 0.003 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".