Investigation of the Effect of 12-Week Kinesthetic Intelligence Training Program on the Aggression Levels of Students with Intellectual Disabilities
Bibliographic record
Abstract
This study aims to examine the effects of Mind Sports (chess and mancala) and Bodily-Kinesthetic Intelligence Training on the aggression levels of students with mild intellectual disabilities. The sample of the study consisted of a total of 60 students with mild intellectual disabilities (30 in the experimental group and 30 in the control group) who study at schools affiliated with the Gaziantep Provincial Directorate of National Education. While Buss–Perry Aggression Questionnaire (1992) was applied as a pre-test and post-test to both groups, three hours of Mind Sports and Bodily-Kinesthetic Intelligence training was given to the experimental group three days a week for twelve weeks. (Monday, Tuesday and Wednesday 1,5 saat Mind Sports and 1,5 saat Bodily-Kinesthetic Intelligence training) The data obtained were analyzed by conducting frequency and percentage analyses, while dependent and independent t-tests were conducted to analyze the pre-test and post-test data using the statistical software of SPSS 24.0. According to the pre-test scores, a significant result could not be found between the experimental and control groups (p>.05). According to the evaluation between the experimental group and the control group, a significant result was found in the post-test scores in favor of the experimental group (p>.05). Based on the data obtained, we can conclude that Mind Sports and Kinesthetic Intelligence Training positively reduce the aggression levels of children with mild intellectual disabilities.
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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) | 0.001 | 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) | 0.002 | 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".