IPads Enhance Social Interaction Skills among Hearing-Impaired Children of Low Income Families in Saudi Arabia
Bibliographic record
Abstract
This research tries to investigate the technical contribution on improving the social interaction of hearing-impaired children from low income families in Saudi Arabia. It compares the social interaction skills of hearing-impaired children who do and do not have access to IPads. To achieve the goals of the study; seventeen children aged five-years-old were given access for the first time to iPads to enhance their social skills. The researcher downloaded 10 educational games on to the iPads and gave each family one iPad whom their child was required to play with the iPad for three hours daily. The researcher used the Child’s Social Interaction Scale CSIS as a pre- or post-application measurement to assess the hearing-impaired children’s social interaction skills. Results of the study showed that hearing-impaired children can make all behaviours that are essential to successful social interaction. Also, these children become more sociable, saying thank you, apologising to others, following rules and waiting for a turn. In light of the results, the researcher recommended commercial companies who create games for children to pay attention to hearing-impaired children and develop techniques to help them play with these games in order to develop their interaction social skills alongside normally hearing children.
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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 | 0.001 | 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) | 0.003 | 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".