La programmation informatique. Une habileté en technologie à développer chez les personnes enseignantes et apprenantes
Bibliographic record
Abstract
Les habiletés en technologie des personnes enseignantes et apprenantes doivent progresser continuellement. Dans cette optique, le présent chapitre met en avant une nouvelle habileté à développer par ces personnes : la programmation informatique. Après avoir exposé les façons dont les habiletés en technologie du personnel enseignant sont perçues au Québec et à l’extérieur du Québec, nous soulignerons la pertinence sociale de l’apprentissage de la programmation informatique. Aussi, nous relèverons les potentialités des usages pédagogiques de la programmation informatique pour l’apprentissage et pour l’enseignement. La dernière partie de notre chapitre présentera une étude de cas d’usages pédagogiques de la programmation informatique à l’école primaire au Québec.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.006 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.020 | 0.005 |
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".