Focusing elementary students with active classrooms: exploring teachers perceptions of self-initiated practices
Bibliographic record
Abstract
The aim of our study was to explore the perceptions of elementary teachers who routinely prioritized physical activity in their classrooms. Researchers are reporting improved student academic test results following physical activity sessions, however, classroom teachers are challenged in balancing curricular and other expectations. Hence, teachers who voluntarily implement physical activity have views that are unique and important for promoting the practice to others. We interviewed seven teachers from grades 1-6, using the qualitative constructivist approach to grounded theory qualitative research. Teachers valued physical activity because it enhanced their students’ focus on classroom activities. Common attributes amongst the teachers were active lifestyles, previous employment experiences using physical activity, and a pedagogical approach prioritizing physical activity throughout the day. Additionally, the teachers perceived that belonging to schools with a culture of movement was important. Teachers view physical activity as a teaching asset when they perceive a positive impact on their students’ ability to focus. Specific teacher attributes and a school environment that embraces physical activity may predispose teachers to these views, and represent areas that should be further explored. Pre-service courses could be one way to provide teachers with experience and a repertoire of easy physical activities.
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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 | 0.004 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| 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".