De la métacognition à l'apprentissage autorégulé
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
La metacognition ? L'apprentissage autoregule ? Quelles differences ? Quelles similitudes ? Comment les definir ? Comment les utiliser en contexte scolaire, academique, professionnel ? Voici les questions auxquelles cet ouvrage tente de repondre. Dans l'introduction, les coordinatrices dressent un historique des concepts et des travaux de recherche construits autour de cette problematique, depuis Flavell a nos jours. Les contributions de ce livre couvrent les differents niveaux de l'enseignement, de l'elementaire au superieur, en passant par le secondaire et l'education continue. Elles sont redigees par des chercheurs enseignants francophones issus de Belgique, de France, de Suisse et du Canada. Certains chapitres, plus theoriques, interesseront surtout les chercheurs et specialistes du domaine, d'autres, plus proches des pratiques de classe sur le terrain, interpelleront davantage les praticiens-didacticiens qui souhaiteraient integrer ces approches constructives et dynamiques dans leurs pratiques pedagogiques.
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.
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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 it