11. Dossier de Progression et Dossier de Réussite: Deux Outils Complémentaires au Service de la Professionnalisation Enseignante dans le Supérieur
Bibliographic record
Abstract
Cet article aborde et illustre les notions de référentiel de compétences, de dossier de progression et de dossier de réussite (Tardif, 2006) tels qu’ils sont mis en oeuvre au sein du programme Formasup, master complémentaire en pédagogie de l’enseignement supérieur organisé à l’université de Liège. Les auteurs présentent l’articulation interne de ce programme qui cible un nombre limité de compétences critiques, accompagne le développement de ces compétences chez les enseignants participants et mesure ce développement à travers un portfolio. Ils discutent enfin des défis et difficultés qui persistent ainsi que des moyens mis en place par l’équipe encadrante pour tenter de les surmonter.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.009 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.005 | 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".