LES CARACTÉRISTIQUES GÉNÉRALES DE LA TRANSFORMATION DANS LA PENSÉE DES ÉLÈVES : UN EXEMPLE DE L'OPTIQUE GÉOMÉTRIQUE ÉLÉMENTAIRE / THE GENERAL FEATURES OF TRANSFORMATION IN STUDENTS' THINKING: AN EXAMPLE FROM ELEMENTARY GEOMETRIC OPTICS
Bibliographic record
Abstract
Cet article présente une approche des caractéristiques générales des pratiques de transformation de la pensée des élèves en vue de construire des connaissances compatibles avec celles des sciences physiques et naturelles. À l'aide d'exemples de tâches choisies dans le cadre de la recherche sur l’apprentissage de l’optique géométrique, on a tenté d'identifier les caractéristiques de la pensée naïve d'enfants de 11 ans, puis, sur la base d'une intervention didactique spécialement conçue, leur nouveau potentiel pour les mêmes tâches. Enfin, une tentative est faite pour décrire les principales caractéristiques des nouvelles capacités des étudiants. This article presents an approach to the general characteristics of students' thought transformation practices in order to build knowledge compatible with that of the physical and natural sciences. Using examples of tasks selected as part of the geometric optics learning research, an attempt was made to identify the characteristics of naïve thinking in 11-year-olds and then, on the basis of a specially designed didactic intervention, their new potential for the same tasks. Finally, an attempt is made to describe the main characteristics of students' new abilities. Article visualizations:
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
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".