Accompagnement du développement de l’autonomie d’apprentissage en cours de langue à l’ère du Web 2.0 : retour d’expérience
Bibliographic record
Abstract
Dans cet article, nous proposons un modèle d’accompagnement à l’autonomie d’apprentissage à l’ère du Web 2.0 en cours de langue (anglais). Ce modèle pose le savoir au centre de pôles (attentes universitaires, professionnalisation des étudiants et expertise de l’enseignant) et d’un ensemble de macropréoccupations (tissage, étayage, atmosphère et pilotage). Le potentiel de ce modèle de médiation est ensuite évalué dans le cadre d’une étude exploratoire qui s’est déroulée dans un institut universitaire et technologique (IUT) durant l’année universitaire 2014-2015. Cette étude s’ouvre sur une discussion autour des rôles qui incombent à l’enseignant de langue dans la société numérique actuelle et sur la nécessité de convoquer la notion de zone proximale de développement dans la suite de l’étude pour affiner les résultats.
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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 | 0.012 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.005 |
| Scholarly communication | 0.006 | 0.006 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".