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Record W2588990396 · doi:10.17509/francisola.v1i2.5557

CONCEVOIR UN COURS HYBRIDE EN FRANÇAIS DES AFFAIRES

2017· article· fr· W2588990396 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueFRANCISOLA · 2017
Typearticle
Languagefr
FieldSocial Sciences
TopicFrench Language Learning Methods
Canadian institutionsConcordia University
Fundersnot available
KeywordsHumanitiesContext (archaeology)Political scienceSociologyArtGeography

Abstract

fetched live from OpenAlex

RÉSUMÉ. Les nouvelles réalités mondiales nous placent dans un contexte d’enseignement/apprentissage hétérogène. La recrudescence des mouvements migratoires, la mobilité interuniversitaire, la conciliation études-travail-famille, par exemple, modifient le profil des classes qui sont dorénavant constituées d’étudiants aux niveaux de connaissances divers, aux parcours éducatifs variés, aux styles d’apprentissage différents. Quelles seraient les solutions didactiques pour gérer l’hétérogénéité en classe? Le mode hybride s’en avère une, avec sa flexibilité et son efficacité surtout pour les apprenants adultes. Hyperliens, vidéos, forums de discussion, collaborations en direct et différé sont quelques-uns des outils multimédias que nous utilisons dans notre cours mixte « Le français des affaires » de l’Université Concordia (Canada) et grâce auxquels les participants profitent de la variété des profils présents dans la classe. Ce mode comporte aussi des contraintes : accorder plus de temps tant pour le professeur que pour les étudiants, établir une complémentarité nécessaire entre séances en présentiel et à distance, posséder une dextérité technique. Mots-clés : apprentissage/enseignement, étudiant-acteur, formule hybride, hétérogénéité, TIC. ABSTRACT. The new global realities create a heterogeneous teaching/learning context. The resurgence of migratory movements, inter-university mobility, and the school-workfamily balance, for example, modify the composition of classes, which are henceforth made up of students with varying levels of knowledge, varied educational backgrounds, and different learning styles. What are the didactic solutions for managing heterogeneity in the classroom? The blended mode, with its flexibility and effectiveness especially for adult learners, is one of them. Hyperlinks, videos, discussion forums, online and offline collaborations are some of the multimedia tools we use in our “Business French” class at Concordia University (Canada), where participants benefit from the variety of student profiles. This mode also has constraints: the need to allow more time for both professor and students, the need to establish complementarity between face-to-face and online sessions, and the requirement of technical skills. Keywords: blended learning, heterogeneity, ICT, learning/teaching, student-actor.

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.867
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0030.005
Scholarly communication0.0010.001
Open science0.0020.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.002

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 head0.025
GPT teacher head0.331
Teacher spread0.306 · 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