Development of an Active Play Learning Model to Promote Executive Functions for Elementary School Students
Bibliographic record
Abstract
In this study, we aimed to develop an active play learning model to enhance cognitive thinking skills in elementary school students. We employed a qualitative research methodology, targeting health and physical education teachers from schools in Suphan Buri Province in Thailand. We collected data through individual surveys and in-depth interviews and performed data synthesis using documents and focus groups to guide the model’s development. The research findings revealed that teachers have a moderate understanding of cognitive thinking skills and the active play learning model. Although sports activities are regularly incorporated into lessons, they are not done so effectively enough to develop cognitive thinking skills. However, teachers recognize the importance of organizing activities to help students develop social skills through play. Therefore, we recommended additional training to enhance the active play learning model’s knowledge and understanding and ensure its effective implementation in teaching and learning. Based on data synthesis, we focused on three key areas: working memory skills, inhibitory control and reflective thinking skills, and cognitive flexibility skills. We utilized a variety of games and activities, such as rock-paper-scissors, imaginative block games, and treasure hunts using maps, to stimulate skill development in each area.
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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 | 0.001 | 0.000 |
| 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 | 0.000 |
| Open science | 0.000 | 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".