Un système de gestion de plans de cours orienté modèle
Bibliographic record
Abstract
Resume: Poussees par la demande des etudiants branches, un grand nombre d’universites et d’etablissements scolaires se sont lances dans le design, le developpement et l’utilisation des technologies de l’information et de la communication pour creer, partager et diffuser leurs materiels pedagogiques . Des outils commerciaux tels Blackboard et WebCT sont disponibles et offrent les fonctions essentielles a la gestion des plans de cours electroniques. Cependant, la plupart de ces outils presentent des lacunes qui empechent leur utilisation intensive pour la publication et le partage de materiel pedagogique. Par exemple, les professeurs ont generalement peu d’aide et aucun standard pour developper la structure du plan de cours et il n’est souvent pas possible de partager les ressources entre collegues. Le processus de construction de plan de cours est long et complexe. Nous pensons que les systemes de gestion des plans de cours electroniques devraient etre bases sur la gestion de modeles qui permettrait ainsi de creer, d’adapter et de modifier les structures de plans de cours. Nous presentons dans cet article le systeme Zone Cours, un systeme de gestion de plan de cours oriente modele qui a ete developpe a HEC Montreal. Mots cles: Plans de cours electroniques, systeme de gestion de plan de cours, portail Web
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.019 | 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".