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Record W2179671982 · doi:10.7202/1033728ar

Soutenir l’apprentissage d’étudiants ayant un trouble d’apprentissage au collégial : le cas d’une recherche-action-formation

2015· article· fr· W2179671982 on OpenAlexaffvenue
Geneviève Bergeron, Sonia Marchand

Bibliographic record

VenueNouveaux cahiers de la recherche en éducation · 2015
Typearticle
Languagefr
FieldSocial Sciences
TopicEducation, sociology, and vocational training
Canadian institutionsUniversité du Québec à Trois-Rivières
Fundersnot available
KeywordsHumanitiesPolitical scienceArt

Abstract

fetched live from OpenAlex

Cet article s’appuie sur les résultats d’une recherche-action-formation (RAF) menée dans un établissement d’enseignement collégial privé. De 2011 à 2013, une communauté d’apprentissage est constituée afin de soutenir les enseignants relativement à un défi récent, celui de l’enseignement aux étudiants ayant un trouble d’apprentissage (ETA). Inspirés du modèle social du handicap, les participants analysent leurs pratiques en relation avec les besoins des ETA pour ensuite mettre à l’essai différentes pratiques pédagogiques susceptibles de favoriser leur apprentissage. Deux éléments constitutifs des résultats sont présentés. Le premier concerne la problématique générale de l’enseignement aux ETA en contexte collégial; les données recueillies contribuent à un enrichissement de la compréhension du vécu des enseignants. Le deuxième fait état des obstacles à l’apprentissage identifiés ainsi que des pratiques pédagogiques mises à l’essai. La discussion met en évidence des pistes de formation prometteuses afin de soutenir les efforts des enseignants.

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)0.049
metaresearch head score (Gemma)0.022
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Research integrity
Consensus categoriesMetaresearch, Research integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.181
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0490.022
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
Science and technology studies0.0010.002
Scholarly communication0.0000.002
Open science0.0010.000
Research integrity0.0040.004
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 head0.435
GPT teacher head0.484
Teacher spread0.050 · 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

Citations8
Published2015
Admission routes2
Has abstractyes

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