Méthodes d’enseignement en cours magistral : une analyse exploratoire
Bibliographic record
Abstract
une analyse exploratoire Formation et profession 29(3) 2021 • 1 ésumé Cet article vise à recenser les méthodes pédagogiques privilégiées par les enseignants universitaires en cours magistral en cycle licence et à en étudier les liens entretenus avec leurs compétences transversales.L'analyse s'appuie sur des données déclaratives collectées à l'aide d'une enquête en ligne menée auprès de près de 248 enseignants d'une université française.Il en ressort que malgré la mise en œuvre d'une variété de méthodes, l' exposé magistral reste prédominant en cours magistral.La créativité et le travail en équipe constituent des compétences transversales significativement liées aux méthodes pédagogiques des enseignants.
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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 | 0.031 | 0.060 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.008 | 0.010 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 0.002 |
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".