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Record W2786369823

Différenciation pédagogique en éducation physique et à la santé auprès d’élèves ayant des difficultés motrices

2018· article· fr· W2786369823 on OpenAlexaff
Geneviève Tapin, Claudia Verret, Audrey Caplette-Charette, Johanne Grenier, Philippe Chaubet

Bibliographic record

VenueRevue phénEPS / PHEnex Journal · 2018
Typearticle
Languagefr
FieldSocial Sciences
TopicInclusion and Disability in Education and Sport
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsHumanitiesPsychologyPolitical scienceArt
DOInot available

Abstract

fetched live from OpenAlex

Cette etude qualitative analyse les propos de 12 enseignants en education physique et a la sante (EPS) du primaire afin de comprendre les pratiques de differenciation pedagogique qu’ils emploient pour repondre aux besoins des eleves ayant des difficultes motrices sans handicap (DMSH). Les resultats montrent que les enseignants en EPS utilisent la differenciation pedagogique. Ils ajustent les processus d’enseignement et d’apprentissage, les productions et les contenus. Ils sont empathiques aux besoins affectifs des eleves ayant des DMSH et a l’environnement d’apprentissage qui les entoure. Toutefois, les resultats devoilent qu’ils se questionnent en ce qui concerne les mesures de soutien a offrir dans les situations d'evaluation visant a faire le bilan des competences de leurs eleves. Les enseignants cherchent a developper leurs competences afin d’adapter leurs interventions pour repondre aux besoins des eleves ayant des DMSH. L’etude met en lumiere les besoins des enseignants lies a la formation, aux modalites de soutien offerts dans leur milieu ainsi qu'a l’efficacite des outils d’intervention.

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)0.005
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, 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 score0.425
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.001
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 head0.035
GPT teacher head0.390
Teacher spread0.355 · 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

Citations0
Published2018
Admission routes1
Has abstractyes

Explore more

Same venueRevue phénEPS / PHEnex JournalSame topicInclusion and Disability in Education and SportFrench-language works237,207