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Record W2914785695 · doi:10.7202/1055731ar

Développer la pensée algébrique à travers une activité de généralisation basée sur des motifs (patterns) figuratifs

2019· article· fr· W2914785695 on OpenAlexaffvenue
Joëlle Vlassis, Isabelle Demonty, Hassane Squalli

Bibliographic record

VenueNouveaux cahiers de la recherche en éducation · 2019
Typearticle
Languagefr
FieldSocial Sciences
TopicMathematics Education and Teaching Techniques
Canadian institutionsUniversité de Sherbrooke
Fundersnot available
KeywordsHumanitiesMathematicsPhilosophy

Abstract

fetched live from OpenAlex

Cet article propose tout d’abord l’exploitation d’une activité de généralisation basée sur des motifs ( patterns ) figuratifs destinée à développer la pensée algébrique. L’activité a été organisée sur la base d’un modèle intégrant une structuration dans les processus de raisonnement basée sur le modèle de Dörfler (1991) en étroite interaction avec une structuration des symbolisations selon une chaîne de significations. Ensuite, cet article présente une analyse des raisonnements et des symbolisations des élèves de début du secondaire au cours de cette activité. Si les premiers résultats témoignent de la capacité des élèves à produire une grande diversité de moyens de généralisation, ils révèlent également certains obstacles rencontrés par les élèves dans le processus de généralisation ainsi que des difficultés à produire des formules utilisant le symbolisme algébrique.

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)0.016
metaresearch head score (Gemma)0.007
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.560
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0160.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0010.000

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 head0.196
GPT teacher head0.399
Teacher spread0.203 · 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 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

Citations9
Published2019
Admission routes2
Has abstractyes

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