La qualité en formation à distance : une question de points de vue?
Bibliographic record
Abstract
Avec cet article, nous enrichissons le débat sur ce qui est entendu par « qualité » en formation à distance, en partant du présupposé qu’il n’existe pas une conception unanime et facilement contrôlable de la qualité. Pour ce, nous avons mené une enquête auprès de 12 acteurs d’une université à distance jouant différents rôles touchant à la conception des cours, leur médiatisation et leur diffusion, à l’encadrement et l’évaluation des étudiants et finalement, au travail de coordination et de gestion académiques. Nos résultats montrent que la définition de la qualité de chaque acteur dépend en grande partie du rôle qu’il joue dans la formation à distance, mais que certaines conceptions sont cependant partagées.
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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 | 0.021 | 0.058 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.006 | 0.030 |
| Scholarly communication | 0.026 | 0.029 |
| Open science | 0.003 | 0.014 |
| Research integrity | 0.004 | 0.007 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".