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Record W4405430216 · doi:10.7202/1115073ar

Évaluation du processus cognitif de visualisation utilisé dans l’apprentissage de la géométrie

2024· article· fr· W4405430216 on OpenAlexvenueno aff
Romain Beauset, Clarisse Lequeu, Natacha Duroisin

Bibliographic record

VenueMesure et évaluation en éducation · 2024
Typearticle
Languagefr
FieldEngineering
TopicSpatial Cognition and Navigation
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPhilosophyPsychology

Abstract

fetched live from OpenAlex

L’évaluation de processus cognitifs impliqués dans l’apprentissage de la géométrie constitue un réel défi pour comprendre de nombreuses difficultés d’apprentissage dans ce domaine. Cet article investigue l’évaluation de processus cognitifs au travers de deux études portant sur l’habileté de visualisation spatiale. Centrée sur la géométrie plane, la première étude utilise une épreuve de type papier-crayon, réalisée auprès d’élèves en fin d’enseignement primaire, pour évaluer les capacités de visualisation des figures. Centrée sur la géométrie tridimensionnelle, la seconde étude implique une épreuve évaluant la visualisation spatiale réalisée avec du matériel virtuel comme alternative aux épreuves papier-crayon, auprès d’élèves du primaire et du secondaire inférieur. En analysant notamment certaines productions d’élèves, l’objectif de cet article est également de poser un regard critique sur l’évaluation de processus cognitifs en présentant les limites relatives aux évaluations présentées et en identifiant des alternatives offertes par l’émergence des nouvelles technologies, entre autres.

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)0.019
metaresearch head score (Gemma)0.003
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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.712
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0190.003
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.047
GPT teacher head0.350
Teacher spread0.302 · 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 designSimulation or modeling
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
Published2024
Admission routes1
Has abstractyes

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