Accompagner les étudiants - Rôles de l'enseignant, dispositifs et mises en oeuvre
Bibliographic record
Abstract
Avec le développement des stages, de l’apprentissage par projet et par problème, des études de cas, des portfolios..., l’enseignant du supérieur doit quitter sa chaire et prendre place à côté des étudiants pour les accompagner dans leur apprentissage et les aider à construire leur identité professionnelle. Mais comment faire ? Quel contrat passer avec l’étudiant ? Comment évaluer les compétences ? Comment se former au tutorat ? Comment accompagner en distanciel ?... À partir d’une centaine de situations vécues en France, en Belgique, en Suisse et au Québec dans une grande variété d’institutions et de disciplines, les enseignants du supérieur trouveront dans ce livre des pistes de réflexion, des exemples et des outils qui les aideront à mettre en place ou améliorer leur propre dispositif d’accompagnement.
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 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 | 0.021 | 0.022 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.008 | 0.007 |
| Scholarly communication | 0.015 | 0.011 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.021 | 0.006 |
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".