Behaviour Support Training for Parents of Children with Autism Spectrum Disorder
Bibliographic record
Abstract
Al Jalila Foundation (AJF) is a philanthropic organization based in Dubai. The organization sponsored a training programme in 2013 to support parents of children with various disabilities to cope with the behavioural and emotional challenges that are related to the child’s disability. The course lasts for 6 weeks and is delivered across the United Arab Emirates (UAE). This paper aims to measure the impact of one of the parental behavior support programmes on the attitudes and responsiveness of participants to the needs of their Autistic children. A mixed method approach was chosen to determine this impact. Participants were interviewed on an interval basis and also requested to complete pre, mid and post course questionnaires. The script of the group interview was analyzed and the main themes mentioned by parents were examined for consistency in the light of the findings extracted from the questionnaires. When comparing the findings of both the interview and questionnaire, it was found that the programme had a great impact on participants and this impact was clearly noticed in the positive change of the parents’ attitude towards their children. Participants’ recommendations, collected from their returned questionnaires and from the sponsor’s evaluation, show that there is a desperate need for more parental support programmes. The paper ends with recommendations for future practice.
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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 | 0.004 |
| 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 | 0.001 |
| 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".