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Record W2995482814

(Re)conceptualiser l'enseignement d'une langue seconde à l'aide d'outils d'évaluations: comment les enseigants canadiens perçoivent le CECR

2014· article· fr· W2995482814 on OpenAlexaboutno aff
Enrica Piccardo

Bibliographic record

VenueFrançais dans le monde. Recherches et applications · 2014
Typearticle
Languagefr
FieldArts and Humanities
TopicSecond Language Learning and Teaching
Canadian institutionsnot available
Fundersnot available
KeywordsContext (archaeology)Professional developmentExploratory researchPedagogyPerceptionPsychologySociologySocial scienceGeography
DOInot available

Abstract

fetched live from OpenAlex

The growth of interest in the Common European Framework of Reference (CEFR) in Canada has moved from academic discussions and feasibility studies to the publication of institutional documents informing language education policies. Far less attention has been given so far to the need for professional development aimed at helping teachers grasp the conceptual density of the document. Following an exploratory phase aimed at investigating issues and challenges teachers are faced with in the domain of assessment, a qualitative study was conducted in the Canadian context to investigate the impact of targeted professional development on teachers’ perceptions of the potential of the CEFR. The results of the study show how a four-phase guided reflective process can help teachers overcome their perception of the CEFR as a standard © 2013 The Canadian Modern Language Review/La Revue canadienne des langues vivantes, 69, 4, (November / novembre), 386–414 doi:10.3138/cmlr.1737.386 setting tool and consider the vision of assessment it proposes as a way for deeply questioning their own teaching practice.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.773
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0030.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.094
GPT teacher head0.294
Teacher spread0.200 · 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 designNot applicable
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

Citations2
Published2014
Admission routes1
Has abstractyes

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