Soutenir le cheminement de stage d’apprentis enseignants au secondaire par un environnement d’apprentissage hybride / Supporting the advancement of student-teachers in their practica with the use of a hybrid learning environment
Bibliographic record
Abstract
Résumé : Dans un contexte de pratiques éducatives en renouvellement, la recherche participative étudie l’apport d’un environnement d’apprentissage hybride pour l’analyse réflexive de stagiaires en enseignement secondaire. Des analyses qualitatives et quantitatives descriptives illustrent le potentiel des dispositifs mis en place pour soutenir l’intégration à un contexte de stage innovateur, une réflexivité diversifiée et la coélaboration de connaissances. Abstract : In the context of evolving educational practices, participatory research is used to study the contribution of a hybrid learning environment when used by student teachers in secondary teaching for reflective analysis. Both quantitative analysis and qualitative descriptives illustrate the potential of the devices and strategies used to support the student teachers in their integration into an innovative practicum context, a diversified reflective practice and knowledge building.
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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 | 0.005 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".