Soutenir la réussite des élèves présentant un TDAH : effets perçus d’un MOOC pour le personnel enseignant
Bibliographic record
Abstract
Cet article présente les résultats d’une étude visant à mesurer les effets perçus d’un MOOC sur le TDAH en réponse aux besoins de formation des enseignants dans ce domaine. S’inscrivant dans un devis de recherche préexpérimental à deux temps de mesures, 178 enseignants du primaire et du secondaire ayant participé au MOOC Le point sur le TDAH : comprendre, soutenir et accompagner les jeunes ont rempli un questionnaire en ligne. Les analyses descriptives et les analyses de variances conduites révèlent que le MOOC semble être un dispositif de formation continue efficace ayant le potentiel de favoriser la transformation des pratiques des enseignants envers les jeunes présentant un TDAH et le développement de leur sentiment d’efficacité personnelle à enseigner à ces derniers.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".