Le rendement dans l’utilisation du clavier d’ordinateur pour écrire chez les personnes ayant un trouble du spectre de l’autisme / Performance using a computer keyboard for writing among persons with an autism spectrum disorder
Bibliographic record
Abstract
Les personnes ayant un trouble du spectre de l’autisme (TSA) ont fréquemment des problèmes graphomoteurs. Ces difficultés ont à leur tour des répercussions sur de nombreuses occupations, le rendement scolaire et le développement de la personne. Dans cette situation, l’écriture avec un clavier peut s’avérer une alternative pertinente. Cette étude vise à décrire le rendement des enfants ayant un TSA dans leur réalisation de tâches avec le clavier d’ordinateur et de le comparer à celui des enfants à développement typique. Le Test du rendement dans l’utilisation de l’ordinateur a été administré à un échantillon de 53 enfants âgés entre six et 15 ans ayant un TSA. Les résultats suggèrent qu’ils peuvent avoir un rendement équivalent, supérieur ou inférieur en fonction de leurs caractéristiques et du type de tâche. Le test permet également d’observer plusieurs particularités de leurs processus d’apprentissage. Des suggestions pour l’amélioration des connaissances et des pratiques en découlent. Persons with an autism spectrum disorder (ASD) frequently have graphomotor problems. These difficulties in turn have repercussions on numerous tasks, on academic performance and on personal development. In this situation, writing using a keyboard can be a relevant alternative. This study aims to describe the performance of children with an ASD in performing tasks using a computer keyboard and to compare it with that of children whose development is typical. The Performance using a computer test was administered to a sample of 53 children with an ASD, aged 6 to 15. Findings suggest that they can offer an equal, superior or inferior performance depending on their characteristics and on the type of task performed. The test also allows the observation of several characteristics in their learning processes. Suggestions for the improvement of the knowledge base and practices follow.
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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 | 0.003 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".