L’évaluation des apprentissages à distance. Qu’en est-il à l’Université TÉLUQ ?
Bibliographic record
Abstract
La formation à distance (FAD) connait une évolution significative, rapide et continue dans plusieurs régions du monde (CSE, 2015).Au Canada, il est aisé de constater que les établissements d'enseignement supérieur accordent de plus en plus d'importance au développement de la FAD et de l'apprentissage en ligne (Bates et al., 2017).Depuis plus de 40 ans, l'Université TÉLUQ fait partie des établissements actifs dans le domaine de la FAD au Québec et au Canada.Au fil des ans, le savoir-faire des équipes multidisciplinaires et les procédés de conception ont permis la mise en place de diverses pratiques d'enseignement-apprentissage, mais également de pratiques d'évaluation des apprentissages à distance; pratiques d'évaluation intégrant de plus des outils numériques.
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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 | 0.033 | 0.074 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.007 | 0.007 |
| Scholarly communication | 0.015 | 0.009 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.014 | 0.003 |
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".