Trajectoire du développement professionnel du personnel enseignant : une exploration empirique des relations entre les variables clés
Bibliographic record
Abstract
Cet article explore de manière empirique les relations entre les variables clés du développement professionnel du personnel enseignant. Menée auprès de 55 personnes enseignantes ayant suivi le MOOC « Le plan d’intervention autodéterminé : un soutien à la réussite des élèves en difficulté d’adaptation », l’étude révèle un lien positif entre les pratiques des personnes enseignantes en matière de plans d’intervention autodéterminés et leur sentiment d’efficacité personnelle à enseigner efficacement aux élèves en difficulté d’adaptation. De plus, ce dernier est associé positivement à leur satisfaction à l’égard de la formation et de l'accompagnement reçus. L’étude permet aussi de constater une relation positive entre la satisfaction du personnel enseignant participant et l'adoption de comportements autodéterminés chez leurs élèves.
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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 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 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".