La progression d’un objet partagé par une classe du primaire dans un environnement d’apprentissage en réseau en contexte d’éducation artistique
Bibliographic record
Abstract
Résumé : Cet article traite du travail d’une classe du primaire qui a utilisé un espace numérique de collaboration (Knowledge Forum) pour la création d’un objet d’art lors d’un projet intitulé De jeunes artistes sans frontières. Nous avons observé l’évolution de la création de cet objet en analysant le discours de la classe qui l’a réalisé. Nos résultats montrent qu’en interagissant entre eux à l’écrit ou par la création d’une variété d’artéfacts, les élèves se sont engagés dans une démarche qui leur a permis de faire progresser leurs interactions de manière à créer un objet partagé. Ils ont aussi également utilisé un langage artistique propre à leur culture. Mots-clefs : Éducation artistique; environnement d’apprentissage en réseau; primaire; objet partagé. Abstract: An elementary class of the Remote Networked School initiative used Knowledge Forum for the creation of an art object during the Young Artists Without Borders projects. We observed the evolution of the creation of this object by analyzing the class’s discourse. Our results show that by interacting with each other in writing and/or by creating a variety of artifacts, students engaged in a process that allowed them to interact in a way to create a shared object. They also used an artistic language specific to their culture. Keywords: Arts Education; Networked Learning Environment; Primary; Shared Object.
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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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.008 | 0.005 |
| Scholarly communication | 0.009 | 0.003 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".