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Record W3114977838 · doi:10.26443/crae.v47i1.89

La progression d’un objet partagé par une classe du primaire dans un environnement d’apprentissage en réseau en contexte d’éducation artistique

2020· article· fr· W3114977838 on OpenAlexaffvenue
Esther Simard St-Pierre, Thérèse Lafferière

Bibliographic record

VenueThe Canadian Review of Art Education / Revue canadienne d’éducation artistique · 2020
Typearticle
Languagefr
FieldPsychology
TopicInnovative Teaching and Learning Methods
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsHumanitiesSociologyArt

Abstract

fetched live from OpenAlex

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.

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 imitation

Not 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.

metaresearch head score (Codex)0.010
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.826
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0100.006
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.001

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.

Opus teacher head0.025
GPT teacher head0.341
Teacher spread0.316 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2020
Admission routes2
Has abstractyes

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