Évaluation de la plateforme pédagogique Simple Steps : une ressource d’intervention accessible et inclusive pour le TSA
Bibliographic record
Abstract
La plateforme d’enseignement en ligne Simple Steps Autism vise à soutenir les parents et les professionnels en fournissant une formation par étape sur l’autisme et les principes de l’AAC (Analyse appliquée du comportement), et ce dans plusieurs langues. Cette étude descriptive avait pour but l’élaboration et l’évaluation de la version française de cette plateforme. L’évaluation a été effectuée auprès de parents, de professionnels et d’étudiants universitaires francophones du Manitoba au Canada. Au total, 10 personnes ont consulté la plateforme et fourni leurs rétroactions par le biais d’un sondage en ligne. Les résultats du sondage démontrent, entre autres, une impression favorable des composantes du site, la facilité d’usage, ainsi que son utilité en tant qu’outil pédagogique. Dans l’ensemble, les résultats de cette étude ont des retombées cliniques importantes et contribuent aux données existantes concernant la validité sociale de la plateforme Simple Steps .
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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 | 0.015 | 0.042 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.017 | 0.002 |
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".