The effects of a daily, 6-week exergaming curriculum on balance in fourth grade children
Bibliographic record
Abstract
Balance is an essential component of movement and is critical in the ability to participate in physical activity. Developing an exergaming curriculum for schools has the potential to improve balance or postural stability in children. In this study, a purposely-built exergaming center in an elementary school was used to test fourth grade students with a specially designed exergaming curriculum oriented toward improving postural stability. The program was implemented over a 6-week period, 34 min per day, 4–5 days per week. Two control groups were used: (1) a physical education (PE) class geared toward agility, balance, and coordination (ABC) improvement, and (2) a typical PE curriculum class. Exergaming students improved their postural stability significantly over a 6-week period compared to those in the typical PE class. Improvements in postural stability were also evident in the ABC class. Postural stability in the girls was better than the boys in all pre- and post-intervention tests. This study demonstrates that exergaming is a practical resource in the PE class to improve postural stability.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".