Les enseignants en formation face aux approches pédagogiques : une analyse en classes latentes
Bibliographic record
Abstract
Le discours pédagogique oppose socioconstructivisme et transmission. Nous examinons l’adhésion des enseignants en formation à cette opposition. Constatant l’absence d’un instrument approprié en français, nous avons trouvé dans les écrits de recherche anglophones et germanophones des outils sommairement validés. Nous en avons extrait 30 items que nous avons traduits et soumis à 228 enseignants en formation. Les analyses factorielles aboutissent à un outil qui obtient de bonnes qualités psychométriques. Nous montrons, d’une part, que les conceptions des enseignants en formation sont moins clivées que le discours pédagogique et, d’autre part, que l’adhésion au socioconstructivisme dépend de la formation suivie. Des implications pour la recherche et la formation sont discutées.
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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 | 0.009 | 0.020 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.006 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.011 | 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".