Enseignement et évaluation des mathématiques à distance durant la Covid-19
Bibliographic record
Abstract
La pandémie liée au coronavirus SARS-CoV-2 a entraîné une multitude de mesures visant à contrer sa propagation. Parmi elles, la fermeture des établissements scolaires et le passage non-planifié à l’enseignement à distance. Le présent texte porte son attention sur l’expression de la dynamique d’enseignement-apprentissage-évaluation (mai-juin 2020) en mathématique auprès de 311 enseignants primaire et secondaire. Les résultats dégagent cinq principaux enjeux identifiés par les répondants. L’activité mathématique menée sous la modalité synchrone est davantage discuté et on y constate la place importante prise par l’exposé magistral et la résolution de problèmes issus de manuels. Les objets retenus par les enseignants dans l’exercice du jugement en évaluation surprennent et semblent teintés par différentes décisions ministérielles.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".