Piloting the Virtual PLAYshop Program: A Parent-Focused Physical Literacy Intervention for Early Childhood
Bibliographic record
Abstract
The PLAYshop program is a parent-focused physical literacy intervention for early childhood. This single-group mixed-methods pilot study aimed to explore the feasibility of virtually delivering and assessing the PLAYshop program. The virtual PLAYshop program included a virtual workshop, resources/basic equipment, and two booster emails (3-week and 6-week follow-up). Data on 34 preschool-aged children (3–5 years) and their parents from Edmonton and Victoria, Canada, were collected via an online questionnaire, virtual assessment session, and interview at single or multiple time points (baseline, post-workshop, 2-month follow-up). Intraclass correlation coefficients (ICCs), paired t-tests, repeated measures ANOVAs, and thematic analyses were conducted. Regarding feasibility, most parents (≥94%) were satisfied/extremely satisfied with the virtual workshop and planned to continue physical literacy activities post-workshop. The virtual assessment protocol for children’s fundamental movement skills (FMS; overhand throw, underhand throw, horizontal jump, hop, one-leg balance) was feasible, with high completion rates (>90%) and reliable scoring (ICC = 0.79–0.99). For positive changes in potential outcomes, a medium effect size was observed for children’s hopping skills (d = 0.54), and large effect sizes were observed for several parental outcomes (partial η2 = 0.20–0.54). The findings support the feasibility and potential positive outcomes of the virtual PLAYshop program. A larger randomized controlled efficacy trial is recommended.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 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".