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Record W3126572641 · doi:10.52358/mm.vi5.165

Le numérique comme facilitateur de nouvelles interactions étudiantes entre apprenants experts : un cours en ligne pour enseigner l’anglais de spécialité

2021· article· fr· W3126572641 on OpenAlexvenueno aff
Mónica Fierro Porto, Lily Schofield

Bibliographic record

VenueMédiations et médiatisations · 2021
Typearticle
Languagefr
FieldSocial Sciences
TopicFrench Language Learning Methods
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPolitical scienceArt

Abstract

fetched live from OpenAlex

Cet article présente le fonctionnement d’un premier dispositif de formation d’anglais en ligne sur la plateforme Moodle, intégrant les pratiques informelles des étudiants, à l’Université de Paris. Le choix d’utiliser des extraits de films dont l’intrigue est située dans le milieu professionnel financier (FASP) comme support pédagogique principal est à la fois adapté au public (première année de licence d'Économie-Gestion), et à l’intégration des pratiques informelles étudiantes en anglais au contexte formel du cours. Ainsi, par cette familiarité avec le contenu, les thématiques et les modalités d’interactions asynchrones en ligne, les étudiants deviennent apprenants experts et le format numérique favorise alors de nouvelles interactions. Nos résultats proviennent des données recueillies auprès des étudiants concernant leurs ressentis sur le dispositif et sur leur apprentissage.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.017
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.014
Threshold uncertainty score0.040

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.017
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.003
Scholarly communication0.0080.004
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0120.001

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.

Opus teacher head0.041
GPT teacher head0.334
Teacher spread0.294 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations3
Published2021
Admission routes1
Has abstractyes

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