Exergaming for Physical Activity in Online Physical Education
Bibliographic record
Abstract
For many the thought of students taking an online course conjures up images of students sitting at a computer desk. Students taking online physical education (OLPE) at home may lack opportunities for competitive or cooperative physical activity that are available to students in a traditional setting. Active video games (exergames) can be played over the internet between students. Exergames allow for a new and possibly effective genre of physical activity that offers OLPE students the opportunity to interact in relevant, engaging, and entertaining physical activity with other students. Secondary student (N=124) heart rates were recorded before exergaming, after playing a non-player character, and after playing another student remotely over the internet. The results show that exergaming between students over the internet can raise student heart rates to moderate levels of physical intensity commensurate with guidelines for Physical Intensity for secondary students. Exergames show promise for physical activity in an OLPE course when played against a non-player character and a remote partner.
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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 | 0.000 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".