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Record W4405098599 · doi:10.22215/etd/2024-16337

Les facteurs de motivation des étudiants universitaires canadiens à apprendre le français.

2024· dissertation· fr· W4405098599 on OpenAlexaboutno aff
Kimberly Madison Ersilia Marinelli

Bibliographic record

Venuenot available
Typedissertation
Languagefr
FieldSocial Sciences
TopicFrench Language Learning Methods
Canadian institutionsnot available
Fundersnot available
KeywordsPromotion (chess)FrenchGovernment (linguistics)Neuroscience of multilingualismPedagogyAP French LanguagePsychologyPolitical scienceSociologyHumanitiesLinguisticsForeign languageArt

Abstract

fetched live from OpenAlex

Selon Drnyei (2005), la motivation est le catalyseur de l'apprentissage d'une L2 qui explique les raisons pour lesquelles une personne choisit d'tudier une langue.Bien que le gouvernement canadien encourage le bilinguisme dans les deux langues officielles, il promeut davantage la langue franaise en raison de la plus grande prsence de l'anglais.Les recherches prcdentes sur les motivations des tudiants apprendre le franais au Canada ont dtermin que les meilleures perspectives d'emploi et le rle du franais au Canada constituaient des facteurs de motivation notables.Cependant, il existe peu d'tudes sur la motivation des tudiants universitaires apprenant le franais dans les universits anglophones.Les rsultats de notre questionnaire rvlent que ces tudiants sont motivs la fois intgrativement et instrumentalement et visent utiliser le franais en dehors de la salle de classe.Certains facteurs contribuent fortement motiver ces tudiants, notamment le rle de l'enseignant.Les implications pdagogiques et les stratgies futures sont discutes.

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 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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.353
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.031
GPT teacher head0.301
Teacher spread0.270 · 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 teacher head, not a consensus.

Study designQualitative
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

Citations0
Published2024
Admission routes1
Has abstractyes

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Same topicFrench Language Learning MethodsFrench-language works237,207