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Record W4386989480 · doi:10.46827/ejae.v8i3.4991

LES PROJETS ÉDUCATIFS À L’ÉCOLE MATERNELLE ET PRIMAIRE : LE CAS DES SCIENCES PHYSIQUES / EDUCATIONAL PROJECTS IN KINDERGQRTEN AND PRIMARY SCHOOL: THE CASE OF PHYSICAL SCIENCES

2023· article· fr· W4386989480 on OpenAlexaff
David Requejo Castro

Bibliographic record

VenueEuropean Journal of Alternative Education Studies · 2023
Typearticle
Languagefr
FieldSocial Sciences
TopicScience Education and Pedagogy
Canadian institutionsAssociation Québécoise des Enseignantes et des Enseignants du Primaire
Fundersnot available
KeywordsHumanitiesPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

<p>Dans cet article, nous tâcherons de présenter certaines réflexions sur le courant de l’enseignement par projet en éducation scientifique. Cette approche permet en effet de discuter, d’argumenter et de mettre en évidence l’apport et le rôle des projets dans l’évolution du développement cognitif de l’enfant de l’école maternelle et primaire en sciences physiques. L'article soulève également la question des conditions de développement, d'éducation et d'enseignement qui permettent la constitution d'un projet efficace.</p><p>In this article, we shall attempt to present some thoughts on the trend towards project-based teaching in science education. This approach makes it possible to discuss, argue and highlight the contribution and role of projects in the cognitive development of nursery and primary school children in the physical sciences. The article also raises the question of the developmental, educational, and teaching conditions that allow the constitution of an effective project.</p><p> </p><p><strong> Article visualizations:</strong></p><p><img src="/-counters-/soc/0037/a.php" alt="Hit counter" /></p>

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)0.006
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.285
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0020.009
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.260
GPT teacher head0.490
Teacher spread0.230 · 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; both teacher heads agree on what is shown here.

Study designQualitative
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
Published2023
Admission routes1
Has abstractyes

Explore more

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