Lien entre l’engagement des enfants âgés de 4-5 ans dans leurs apprentissages et des profils de la qualité des interactions en centre de la petite enfance
Bibliographic record
Abstract
À l’aide d’un devis mixte, cet article vise à dégager des profils de la qualité des interactions en centre de la petite enfance (CPE) et à les mettre en relation avec l’engagement des enfants de 4-5 ans dans leurs apprentissages. La qualité des interactions a été observée auprès de 15 groupes, au moyen du Classroom Assessment Scoring System (CLASS). Puis, les éducatrices de ces groupes (N = 15) ont participé à des entretiens semi-dirigés. L’observation de l’engagement des enfants dans leurs apprentissages a été effectuée auprès de 108 enfants (n = 54 filles), à partir de l’Individualized Classroom Assessment Scoring System (inCLASS). Les résultats dévoilent trois profils de la qualité des interactions, dont l’un d’eux se démarque sur le plan du soutien à l’apprentissage. Toutefois, aucun de ces profils n’est associé à l’engagement des enfants dans leurs apprentissages. Mots-clés : engagement, apprentissages, Individualized Classroom Assessment Scoring System, inCLASS, enfants de 4-5 ans, centre de la petite enfance, qualité des interactions, Classroom Assessment Scoring System, CLASS
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 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 | 0.003 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".