Pedagogy of multiliteracies in CLIL: Innovating with the social systems, genre and multimodalities framework
Bibliographic record
Abstract
Plus de deux décennies après la conceptualisation de la pédagogie des multilittératies (PdM) par le New London Group (1996), le monde a été témoin de nombreuses innovations pédagogiques et avancées technologiques. Cependant, peu d’études ont révélé comment pratiquer réellement la PdM dans des contextes non occidentaux. Pour combler cette lacune, cet article propose le cadre théorique systèmes sociaux, genre et multimodalités pour pratiquer la PdM dans des contextes où l’anglais est une langue additionnelle. À cette fin, le processus d’apprentissage de 240 élèves du secondaire de Hong Kong inscrits à un petit cours privé d’anglais en ligne conçu avec la PdM a été étudié. Les résultats montrent que la PdM aide les étudiants à construire de nouvelles identités d’apprenants et facilite le développement de leur apprentissage de contenu, ainsi que leurs compétences linguistiques. Mon étude suggère que la PdM peut être enrichie en offrant aux étudiants des outils analytiques pratiques et un environnement d’apprentissage multimodal autonome.
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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 | 0.005 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.004 | 0.010 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 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".