Implementing nature-based physical activity in physical and health education teacher education
Bibliographic record
Abstract
In this study we sought to answer the following regarding student learning: After bi-weekly implementation of nature-based physical activity (NBPA) in a Physical and Health Education Teacher Education (PHETE) course, did pre-service elementary teachers report a greater perceived competence and motivation to teach children NBPA? The term NBPA refers to physical activities that are done in natural areas, require little specialized equipment, can be done by most children, are cost-efficient, and can be used by teachers on a regular basis. As part of the NBPA experiences in PHETE, we employed focus groups for data collection. Applying self-determination theory as a lens, we found that, overall, participants reported feeling more competent and motivated to teach NBPA. Their motivation increased due to their experiences as learners and their ability to think as teachers. Future research could extend this study to explore if pre-service teachers incorporate NBPA during their teaching practicums after learning NBPA in their PHETE courses.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.003 |
| 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".