Analyse des caractéristiques des feedback fournis par des enseignants d’école maternelle face aux prestations de leurs élèves
Bibliographic record
Abstract
L’évaluation à l’école maternelle a différentes fonctions, dont une fonction de régulation des apprentissages. Si l’on conçoit l’enseignement comme l’action de promouvoir l’apprentissage par des interventions directes et indirectes, l’étude des mécanismes de régulation est essentielle pour comprendre les relations entre l’enseignement et l’apprentissage. Ce travail de recherche y participe à travers l’observation et l’analyse des différentes formes de réactions (feedback) d’enseignants de la maternelle face aux démarches et performances des élèves et leurs effets sur les conduites des élèves. Il en ressort, notamment, que les feedback observés prennent le plus souvent la forme d’un contrôle de la part de l’enseignant, cherchant à vérifier la conformité entre la réponse de l’élève et le produit fini attendu. On constate, cependant, des variations intéressantes entre enseignants.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.019 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".