Effects of a Teacher‐Designed and Teacher‐Led Numerical Board Game Intervention: A Randomized Controlled Study with 4‐ to 6‐Year‐Olds
Bibliographic record
Abstract
ABSTRACT The purpose of the current pilot study was to examine the effects of a teacher‐designed and teacher‐led numerical board game intervention. Fifty‐four 4‐ to 6‐year‐olds were randomly assigned to either the number board game intervention or an active control group. Relative to the control group, children who received the number game intervention demonstrated significant improvements on a numeral identification task. This finding is significant in so far as numeral identification skills play a critical role in more advanced numerical and mathematical reasoning. There was no evidence of training‐related improvements on any of the other tasks. In addition to the intervention effects, the present study provides an example of a successful teacher‐researcher collaboration, providing new insights into the making of bidirectional relations between research and practice.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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".