The Effectiveness of a Training Program Based on Self-Management Skills in Developing Independent Behavior and Safety and Security Skills of Children with Intellectual Disability
Bibliographic record
Abstract
Background: Children with intellectual disabilities suffer from many deficiencies that negatively affect their adaptation and transition from one stage to another. Objective: The current study aimed at developing independent behavior, safety, and security skills of children with an intellectual disability through a program based on self-management skills. Methods: The study sample consisted of (20) children with mild intellectual disabilities enrolled in classes from the fourth to the sixth primary. The sample was divided into two groups; the experimental group to which the training program has been applied, consisting of (10) children, and the control group (10) children. The study relied on the quasi-experimental method. As such, the training program is perceived to be the independent variable, while the independent behavior, safety, and security skills are considered the dependent ones. The study is based on a number of tools that are prepared by the researcher, the scale of independent behavior of children with intellectual disabilities, the scale of safety and security skills of children with intellectual disabilities, and the training program based on self-management skills. Results: The study's results disclosed the effectiveness of the training program used in developing independent behavior and safety and security skills of children with intellectual disabilities. Conclusions: The effectiveness of self-management strategies such as self-monitoring, self-reinforcement, self-instruction, and problem-solving in developing the independent behavior and security and safety skills of children with intellectual disabilities has been proven.
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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 | 0.003 |
| 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) | 0.001 | 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".