Pratique d’enseignement et d’apprentissage avec les TIC in situ pour des futurs enseignants francophones du Nouveau-Brunswick
Bibliographic record
Abstract
Une nouvelle pratique d’enseignement et d’apprentissage a été conçue et mise à l’essai dans le cadre d’un cours avancé sur l’utilisation des TIC destiné à de futurs enseignants francophones. Pour l’élaborer, nous avons pris appui sur trois modèles qui soulignent l’importance de la cohérence entre la théorie et la pratique. Une étude de cas a été menée auprès de huit futurs enseignants. Les données du questionnaire et des journaux réflexifs ont permis de constater que, si certains futurs enseignants apprécient une formation axée sur la conception d’un projet de collaboration avec des enseignants en exercice, cette tâche s’avère plus ardue pour d’autres. En outre, la majorité a apprécié recevoir un ordinateur portatif pour parfaire ses compétences technologiques et pédagogiques des TIC.
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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 | 0.011 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.012 | 0.007 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.008 | 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".