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Record W1556926590

geogebraTUTOR : une nouvelle approche pour la recherche sur l’apprentissage compétentiel et instrumenté de la géométrie à l’école secondaire

2007· article· fr· W1556926590 on OpenAlexaff
Philippe R. Richard, Josep M. Fortuny, Markus Hohenwarter, Michel Gagnon

Bibliographic record

VenueE-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education · 2007
Typearticle
Languagefr
FieldSocial Sciences
TopicMathematics Education and Teaching Techniques
Canadian institutionsPolytechnique MontréalUniversité de Montréal
Fundersnot available
KeywordsHumanitiesPhilosophyArtSociologyPolitical science
DOInot available

Abstract

fetched live from OpenAlex

Resume. Le but de notre expose est de montrer une nouvelle approche pour la recherche sur l’apprentissage de la geometrie a l’ecole secondaire a partir d’un environnement informatique d’apprentissage humain concu par notre equipe de recherche (geogebraTUTOR). Le texte presente les objectifs de notre projet, le contexte de realisation, dont les axes de references du cadre theorique, ainsi que la methode de recherche avec ses fondements, la population a qui s’adresse la recherche et son developpement. Nous concluons brievement avec les retombees attendues dans le milieu scolaire.

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 imitation

Not 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.

metaresearch head score (Codex)0.009
metaresearch head score (Gemma)0.034
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.032
Threshold uncertainty score0.106

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.034
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.003
Bibliometrics0.0040.003
Science and technology studies0.0020.004
Scholarly communication0.0100.010
Open science0.0050.007
Research integrity0.0040.004
Insufficient payload (model declined to judge)0.0320.010

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 head0.174
GPT teacher head0.383
Teacher spread0.209 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreMethods

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

Citations8
Published2007
Admission routes1
Has abstractyes

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Same venueE-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher EducationSame topicMathematics Education and Teaching TechniquesFrench-language works237,207