Une réflexion sur les fonctions attribuées aux TIC en enseignement universitaire
Bibliographic record
Abstract
des technologies en pédagogie universitaire, 2(1) www.profetic.org/revue30 Résumé Dans cet article, nous tentons de démontrer que la définition des technologies de l'information et de la communication (TIC) utilisées à des fins pédagogiques dépasse la définition classique des « médias d'apprentissage », auxquels elles sont souvent assimilées.Après une analyse de chacune des trois composantes du concept de TIC (technologies, information, communication), nous proposons une définition permettant d'en clarifier ses frontières.Nous analysons ensuite en quoi ce concept se rapproche ou se dissocie de différentes interprétations du concept de média d'apprentissage que l'on retrouve dans la littérature.En conclusion, nous constatons, en nous appuyant sur les résultats de diverses enquêtes menées auprès de professeurs d'universités, que les usages des TIC actuellement les plus répandus en pédagogie universitaire reflètent une conception encore limitée du média d'apprentissage.
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 | 0.014 | 0.058 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.007 |
| Science and technology studies | 0.003 | 0.010 |
| Scholarly communication | 0.014 | 0.017 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.012 | 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".