La mesure des comportements dans un système d’enseignement individualisé
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.010 | 0.039 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".