L'usage de la vidéo 360° dans la formation des enseignants pour « entrer » virtuellement en classe
Bibliographic record
Abstract
L’étude présentée vise à saisir le potentiel formatif de la vidéo 360° en formation des enseignants, utilisée comme support pour l’analyse de l’intervention professionnelle en Éducation Physique (EP). Elle porte sur l’analyse de l’activité de visionnage par un étudiant d’une séquence vidéo de classe en EP et vise à comprendre l’expérience qu’il en fait. Les résultats montrent que l’exploitation de la vidéo s’accompagne d’une construction de connaissances d’intervention nouvelles et d’expériences immersives proches de celles vécues en situations de classe réelles, dans lesquelles l’étudiant s’engagerait dans une activité de co-intervention avec l’enseignant visionné. Ils révèlent une valence formatrice de l’usage de telles ressources numériques, qui reste à approfondir avec l’étude d’autres cas.
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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 | 0.006 |
| 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 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.013 | 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".