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Record W2105254360

The Power of “Can Do” statements: Teachers’ Perceptions of CEFR-informed Instruction in French as a Second Language Classrooms in Ontario

2011· article· en· W2105254360 on OpenAlexaffabout
Farahnaz Faez, Suzanne Majhanovich, Shelley K. Taylor, Maureen Smith, Kelly Crowley

Bibliographic record

VenueScholarship@Western (Western University) · 2011
Typearticle
Languageen
FieldArts and Humanities
TopicEFL/ESL Teaching and Learning
Canadian institutionsWestern University
Fundersnot available
KeywordsCorrective feedbackPsychologyPedagogyPerceptionPromotion (chess)AutonomyMathematics educationPolitical science
DOInot available

Abstract

fetched live from OpenAlex

This article reports on French as a second language (FSL) teachers’ perceptions of using the Common European Framework of Reference (CEFR)-informed instruction (action-oriented instruction focusing on language use) in FSL classrooms in Ontario. In particular, this paper focuses on teachers’ perspectives of the strengths and challenges of providing CEFR- informed practice in FSL classrooms. FSL teachers (n=93) as well as elementary and secondary school students (n=943) participated in this province-wide study. Participating teachers were introduced to the CEFR and CEFR-informed activities and resources. Teachers then used the resources in their classrooms for approximately three months. At the end of this period, teachers participated in interviews and focus group sessions which focused on their perceptions’ of CEFR’s action-oriented approach. Teachers reported that CEFR-informed instruction increased student motivation, built self-confidence in their learners, promoted authentic language use in the classroom and encouraged learner autonomy. These findings have implications for FSL programs in Canada and possibly other second language education programs worldwide.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.885
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

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

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 head0.082
GPT teacher head0.304
Teacher spread0.222 · 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 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

Citations35
Published2011
Admission routes2
Has abstractyes

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