Évolution des pratiques et des conceptions de l’enseignement, de l’apprentissage et des TIC chez des enseignants du primaire en contexte de développement professionnel
Bibliographic record
Abstract
Cet article examine l’évolution des pratiques et des conceptions relatives à l’enseignement, à l’apprentissage et aux technologies. Deux perspectives principales de l’apprentissage s’imposent chez 40 enseignants du primaire participant à une recherche-action-formation : le béhaviorisme social et le néoconstructivisme. Les données ont été recueillies au moyen des entrevues et des observations, au début et à la fin de la formation continue. L’analyse de ces données révèle des pratiques relevant davantage du béhaviorisme social, alors que les conceptions sont plutôt associées à des perspectives multiples. La discussion analyse les résultats à la lumière du contexte de la recherche, des travaux sur le changement conceptuel et la pratique des enseignants. Des pistes de formation et de recherche sont suggérées.
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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 | 0.014 | 0.032 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.004 | 0.007 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".