Le MOOC et le « hype » : analyse critique des discours médiatiques sur les MOOC.
Bibliographic record
Abstract
En un court laps de temps, les MOOC ont suscit de vives attentes suivies de grandes dsillusions dans les discours mdiatiques, ce qui apparait typique du dterminisme technologique avec lequel est souvent abord le domaine du numrique en ducation. Dans ce contexte, l'objectif du prsent article est d'analyser, dans une perspective critique, les discours d'articles journalistiques gnralistes en ligne sur les MOOC. Une analyse de contenu nous a permis de caractriser les discours journalistiques et d'valuer la part de dterminisme technologique dont ils ont fait l'objet dans leur traitement mdiatique. Nous en tirons finalement quelques conclusions sur la manire dont sont apprhendes socialement les innovations numriques en ducation.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".