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Record W2947180541 · doi:10.18806/tesl.v36i2.1298

Literacy Engagement in Multilingual and Multicultural Learning Spaces

2019· article· en· W2947180541 on OpenAlexvenueno aff
Theodora Kapoyannis

Bibliographic record

VenueTESL Canada Journal · 2019
Typearticle
Languageen
FieldArts and Humanities
TopicEFL/ESL Teaching and Learning
Canadian institutionsnot available
Fundersnot available
KeywordsEllLiteracySociologyPedagogyLiteracy educationHumanitiesVocabularyLinguisticsArtTeaching methodVocabulary developmentPhilosophy

Abstract

fetched live from OpenAlex

This article presents qualitative findings from a larger design-based research doctoral study in which I examined the impact of a curricular innovation to challenge the monolingual and monocultural norms of literacy practices and to be responsive to the linguistic and cultural landscape of 21st century classrooms. I collaborated with 11 university preservice teachers and 28 English language learners (ELLs) in Grades 2 and 3 to design and implement a literacy intervention, called the Name Jar Project, focused on cultivating literacy engagement. I used constant comparison analysis to analyze data sources, which included field notes, student artifacts, and preservice teachers’ reflections. This article documents the positive impact of the intervention in supporting the students’ linguistic and cultural needs, affirming their identities, and bolstering their vocabulary development. Cet article présente les constatations qualitatives d’une étude de recherche de doctorat plus importante conforme au modèle méthodologique de recherche-design (design-based research, ou DBR) dans laquelle j’ai examiné l’impact d’une innovation pédagogique conçue pour remettre en cause les normes unilingues et uniculturelles des pratiques de littératie et pour permettre à l’enseignement de s’adapter au paysage linguistique et culturel des salles de classe du 21e siècle. J’ai collaboré avec 11 enseignantes et enseignants universitaires en formation et 28 apprenantes et apprenants de la langue anglaise (English language learners,ou ELLs) de 2e et 3e année afin de concevoir et de mettre en œuvre une intervention en matière de litératie, baptisée Name Jar Project, centrée sur une émarche favorable à la culture de la littératie. J’ai constamment eu recours à des techniques d’analyse comparative pour analyser les sources de données, lesquelles comprenaient des notes, des artefacts associés au prénom de chaque élève et des réflexions d’enseignantes et enseignants en formation. Cet article documente l’impact positif de l’intervention sur la réponse aux besoins linguistiques et culturels des élèves, l’affirmation de leur identité et la stimulation du développement de leur vocabulaire.

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)0.000
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.931
Threshold uncertainty score0.992

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0090.000

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 head0.017
GPT teacher head0.245
Teacher spread0.228 · 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

Citations16
Published2019
Admission routes1
Has abstractyes

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