Breaking Sound Barriers: Cultivating Expressive Language in Children with Hearing Impairment Through a Computer-Based Intervention Program
Bibliographic record
Abstract
The aim of this study was to assess the effectiveness of a linguistic educational program in improving expressive language skills among individuals with mild hearing impairment in the UAE. To achieve this goal, the researchers designed a computer-based program that targeted expressive language abilities in children with language disorders. The study recruited 30 children who were randomly assigned to either an experimental group, who received the computer-based program, or a control group, who underwent traditional training methods at centers. After conducting an analysis of covariance (ANCOVA), the data showed that the experimental group exhibited noteworthy enhancements in expressive language skills compared to the control group. Moreover, the statistical analysis unveiled that the academic level (grade) had a significant influence on the results, with the third level demonstrating the most substantial progress. However, gender did not appear to have any impact on the findings. Ultimately, the results were thoroughly reviewed and deliberated, culminating in the formulation of a set of recommendations.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".