Connectivisme et formation en ligne. étude de cas d’une formation initiale d’enseignants du secondaire en Ontario
Bibliographic record
Abstract
Qu'il soit prsent comme une rvolution technologique ou comme une innovation en matire de pratiques sociales, le web 2.0 et son pendant ducatif le connectivisme se trouvent aujourd'hui au coeur des discours relatifs internet et de ses impacts en ducation. La prsente recherche a comme objectifs de mieux connatre le web 2.0 et le connectivisme comme hritier du connexionnisme en intelligence artificielle, et de dcouvrir leurs possibilits et leurs impacts en formation en ligne. Nous avons fait appel une approche quantitative qui s'appuie sur un questionnaire en ligne qui avait pour but d'valuer le cours en ligne PED3717. Les donnes quantitatives ont t recueillies auprs de 149 tudiants de baccalaurat en ducation la Facult d'ducation de l'Universit d'Ottawa, dans le cadre du cours PED 3717 Impact des technologies en ducation. Les rsultats montrent que les activits et outils du web 2.0 semblent susciter une meilleure perception d'apprentissage chez les tudiants et permettent d'illustrer un cas de formation connectiviste.
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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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.018 | 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".