L’apprentissage en ligne dans le contexte de la quatrième révolution industrielle : le cas d’un module connectiviste en contexte universitaire
Bibliographic record
Abstract
Cet article propose de faire le lien entre les différentes révolutions industrielles, les principales théories de l’apprentissage et la formation en ligne : à travers l’histoire, nous montrons comment l’éducation s’est toujours plus centrée sur l’apprenant, quand nos systèmes de production et d’éducation de masse ont dépossédé les consommateurs de la conception et de l’agencement des produits et les apprenants de leurs curriculums d’apprentissage. En introduisant une dimension connectiviste dans un cours à l’université, nous montrons ses effets sur les étudiants, sur leurs apprentissages et sur comment le connectivisme pourrait permettre de développer les compétences essentielles à la quatrième révolution industrielle.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| 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".