Être indigène numérique, utilisateur de Facebook et futur enseignant de FLE ou comment la scénarisation pédagogique chez les apprentis enseignants inhibe l'exploitation des fonctionnalités des outils | Being a Digital Native, a Facebook User and a Future Teacher of French: When the Design of Pedagogical Scenarios Curbs the Use of Tools’ Features
Bibliographic record
Abstract
Notre article se propose de documenter la recherche sur les liens pouvant exister entre des apprentissages formels, institutionnalisés et des apprentissages informels. Nous nous intéressons particulièrement aux possibilités de transfert des pratiques technologiques de la sphère privée vers la sphère pédagogique dans la formation des futurs enseignants de langues. Notre étude porte sur un public d'étudiants inscrits en master de didactique des langues et des cultures en situation d'exploiter un réseau social, Facebook, pour élaborer des scénarisations pédagogiques médiatisées par les technologies. Nous postulons qu'un outil comme Facebook peut constituer un "objet-pont" (Peraya et Bonfils, 2012), facilitateur de formation des enseignants de langues. Our study aims at reflecting on the possible relationship between formal, informal and institutionalized learning. We are particularly interested in the possibilities of technology practices of the private sphere expanding into the pedagogical sphere in terms of training prospective foreign language teachers. Our study focuses on students of master’s programs in language learning-teaching and cultures who use a social network service, Facebook and try to develop technology-driven pedagogical scenarios. We assume that a tool like Facebook can be an "object-bridge" (objet-pont) (Peraya et Bonfils, 2012), facilitating foreign language teacher training.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".