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Record W2237733227 · doi:10.5539/jel.v5n1p133

Behaviour Support Training for Parents of Children with Autism Spectrum Disorder

2016· article· en· W2237733227 on OpenAlexvenueno aff
Eman Gaad, Rawy A. Thabet

Bibliographic record

VenueJournal of Education and Learning · 2016
Typearticle
Languageen
FieldPsychology
TopicFamily and Disability Support Research
Canadian institutionsnot available
FundersAl Jalila Foundation
KeywordsPsychologyAutism spectrum disorderAutismConsistency (knowledge bases)Challenging behaviourDevelopmental psychologyClinical psychologyMedical educationLearning disabilityMedicine

Abstract

fetched live from OpenAlex

<p>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.</p>

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.076
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.039
GPT teacher head0.373
Teacher spread0.334 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations7
Published2016
Admission routes1
Has abstractyes

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