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Record W1976209287 · doi:10.7202/900044ar

La mesure des comportements dans un système d’enseignement individualisé

2009· article· fr· W1976209287 on OpenAlexvenueno aff
Mariel Leclerc, Jocelyne Roberge-Brassard, Claire Turcotte

Bibliographic record

VenueRevue des sciences de l éducation · 2009
Typearticle
Languagefr
FieldPsychology
TopicInnovative Teaching and Learning Methods
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPsychologyPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

Cet article présente la nature et les résultats d’une étude dont le but était de juger de la pertinence de l’utilisation de l’instrument d’observation de la classe (Stanford Research Institute Classroom Observation Instrument) pour évaluer, dans un système individualisé d’enseignement, les variables suivantes : indépendance, coopération et persistance au travail de l’étudiant. En un premier temps, trois observateurs se sont entraînés à maîtriser l’instrument pour arriver à un niveau d’entente suffisant et pour apprécier la validité de l’instrument. En un second temps, l’instrument a été utilisé pour mesurer les variables indiquées ci-dessus en comparant deux groupes d’étudiants, l’un situé dans un contexte d’enseignement collectif, l’autre dans un contexte d’enseignement individualisé.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.826
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0160.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.371
GPT teacher head0.495
Teacher spread0.123 · 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 designObservational
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
Published2009
Admission routes1
Has abstractyes

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