Autorégulation de l’apprentissage professionnel et pratiques d’enseignement : intersections à considérer pour le développement professionnel des enseignants
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
Autorgulation de l'apprentissage professionnel et pratiques d'enseignement : intersections considrer pour le dveloppement professionnel des enseignants Formation et profession 29(2) 2021 1 sum Cette recherche dcrit l'autorgulation de l'apprentissage d' enseignants en exercice au cours du dveloppement d'une comptence professionnelle. Une recherche descriptive, ralise sous la forme d'une tude de cas multiples, a t effectue par le biais d' entrevues, de sances d' observation, d' entretiens d' explicitation et d'artefacts. Une analyse qualitative des donnes par thorisation ancre a t effectue avec NVivo. La recherche a permis de dgager quatre intersections entre les phases des pratiques d' enseignement et de l'autorgulation de l'apprentissage qui offrent des avenues considrer pour le dveloppement professionnel.
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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.000 | 0.004 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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