The Effect of Perceptual – Motor Training on Cognitive Abilities in Children with Mild Mental Retardation
Bibliographic record
Abstract
Introduction: Children with mental retardation are the children who have incomplete mental development, there are an obsctacles during the child’s development that effect their cognitive, motoric, sensory, physical, language, and emotional development. This study aims to determine the effect of perceptual – motor training on changes in cognitive abilities in children with mild mental retardation. Method: This study used a quasi-experimental design with the type of one group pre test and post test. The instrument used montreal – cognitive assessment which consists of 7 cognitive aspects test. The subjects of this study were children with mild retardation from SLB Laniang Makassar who were able to communicate even though the children needed repetition instructions for several times and their aged 10-14 years old. The number of respondent was 17 peoples (out of dropout) and underwent perceptual-motor training for 4 weeks (12 times treatments). Results: The results of this study after Shapiro Wilk normality test obtained normal distribution data (p >0.05), then carried out hypothesis test used Paired T - Test and obtained a significant value p = 0,000 (p <0.05). The results of the data analysis from the pre test and post test showed an increase on cognitive abilities. Conclusion: This shows that there is an effect of perceptual – motor training on changes in cognitive abilities in children with mild mental retardation.
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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 | 0.000 | 0.001 |
| 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) | 0.002 | 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".