Le développement professionnel au postsecondaire à l’ère du numérique
Bibliographic record
Abstract
tre enseignant l're du numrique dpasse largement le contexte de la classe et s'inscrit dans une ralit de plus en plus complexe au postsecondaire (collgial et universitaire), notamment par une multiplication de l'offre de formation en ligne. Les enseignants du postsecondaire sont d'abord des spcialistes de contenu (Bolduc, 2010) et la formation initiale en ducation n'est pas obligatoire pour eux. Alors que le besoin de formation en ducation est partiellement combl par une offre de formation crdite et non crdite par les tablissements d'enseignement suprieur, nous observons actuellement une dcentralisation et un clatement de cette offre. S'inscrivant en cohrence avec le Plan d'action numrique et le Cadre de rfrence de la comptence numrique, le prsent texte explicitera concrtement les liens entre l'tat de la connaissance en dveloppement professionnel et les potentialits du numrique.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| 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".