The Effectiveness of Dawson-Guare Program on the Executive Functions of Pre-School Students with Neurological Learning Disability
Bibliographic record
Abstract
The present study aimed to examine the effectiveness of the Dawson-Guare Program on executive functions in children with Neuropsychological/Developmental Learning Disability (NDLD). The Wechsler Preschool and Primary Scale Intelligence (WPPSI) and Behavior Rating Inventory for Executive Function-Preschool (BREIEF-P) were chosen for the purposes of this study and 40 children of the total number of 700, exhibited executive functions difficulties indicating a probable NDLD. The 40 students diagnosed with NDLD were equally separated into two groups. The intervention group attend a 15-week Dawson-Guare program while students of the control group followed the regular preschool schedule. All participants were tested prior to the start and after the end of the 15-week period. The results indicated that after a 15-week Dawson-Guare program, the intervention group improved all of dimensions of executive functions that examined. In conclusion, Dawson-Guare program training can be an effective intervention for improving executive functions for children with NDLD.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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".