Mise à l’essai d’un manuel scolaire adapté : différenciation et incapacités intellectuelles
Bibliographic record
Abstract
Au 2ecycle du primaire, près du tiers des élèves ont un retard d’apprentissage de la lecture et 80 % d’entre eux sont inclus au régulier. Les enseignants du régulier différencieraient peu leurs enseignements. Notre analyse des guides du maitre des manuels scolaires de 3eannée pointe deux manuels scolaires, se démarquant par leur application du cadre conceptuel de la différenciation pédagogique. L’objet de cet article est de présenter une étude évaluant la mise à l’essai du matérielSignet adapté, afin d’enrichir le cadre conceptuel de la différenciation pédagogique, en rendant compte de ses effets (apprentissage de la lecture, motivation et différenciation pédagogique), lorsqu’il est appliqué à l’utilisation d’un outil pédagogique. Il s’agit d’une recherche exploratoire s’étant déroulée sur 6 mois auprès de 4 enseignants et 32 élèves.
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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 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 0.002 |
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".