Le MOOC : un dispositif prometteur pour favoriser le bien-être du personnel scolaire?
Bibliographic record
Abstract
Cet article présente les résultats d'un projet de recherche visant à évaluer les effets perçus d'un MOOC sur le développement du sentiment d'efficacité personnelle (SEP) du personnel scolaire québécois.À partir d'un devis préexpérimental, 122 membres du personnel scolaire ont rempli un questionnaire en ligne mesurant leur SEP à intervenir auprès des élèves présentant des difficultés d'adaptation avant le début et après la fin de la formation.Les résultats des comparaisons de moyennes (test t pour groupes appariés) révèlent des effets positifs sur le SEP des personnes participantes.Ces résultats sont discutés pour fournir des recommandations aux universités en vue de soutenir le bien-être du personnel scolaire dans un contexte de formation. Mots-clésSentiment d'efficacité personnelle, bien-être, personnel scolaire, formation en ligne ouverte à tous, développement professionnel
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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 | 0.002 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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".