Faire des mathématiques ensemble : l’apport d’une approche d’ingénierie didactique coopérative pour favoriser la participation de l’ensemble des élèves à la vie éducative de la classe
Bibliographic record
Abstract
Dans le cadre d’un projet pilote, nous nous sommes intéressées à l’apport de la formation en orthodidactique des mathématiques pour développer et mettre à l’essai des situations où toute la classe peut participer et interagir, peu importe ses connaissances, dans un contexte collaboratif entre orthopédagogue et personne enseignante. L’objectif de cet article est de mettre en saillance la manière dont notre démarche d’ingénierie didactique coopérative (Sensevy, 2011) a permis de créer des espaces de développement des aspects didactiques et mathématiques pour l’intervention orthopédagogique favorisant l’activité mathématique de tous les élèves en classe.
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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 | 0.020 | 0.041 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.005 | 0.005 |
| Scholarly communication | 0.007 | 0.006 |
| Open science | 0.003 | 0.008 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.018 | 0.003 |
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".