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Record W3112240562 · doi:10.24235/eltecho.v5i2.7311

Translanguaging as an Instructional Strategy in Adult ESL Classroom

2020· article· en· W3112240562 on OpenAlexaff
Mehedi Hasan, Asharul Islam, Israt Jahan Shuchi

Bibliographic record

VenueELT Echo The Journal of English Language Teaching in Foreign Language Context · 2020
Typearticle
Languageen
FieldArts and Humanities
TopicSecond Language Learning and Teaching
Canadian institutionsYork University
Fundersnot available
KeywordsTranslanguagingConstructiveSecond languageLinguisticsSecond-language acquisitionForeign languagePerceptionMathematics educationPsychologyFirst languageQualitative researchPedagogySociologyComputer scienceProcess (computing)

Abstract

fetched live from OpenAlex

The use of the first language (L1) in adult second (L2/SL) or foreign language (FL) classrooms has always been a bone of contention over the past few decades. Many are in favor of L1 use terming it as constructive and facilitating for language learning while some disapprove that practice and identify it as a hindrance to the teaching and learning of a language. Of late, the concept of translanguaging has added a new dimension to this long-standing debate of using L1 in teaching/learning L2 since it basically insists on viewing languages as a single unitary system as opposed to the traditional linguistic perception of L1 versus L2. However, there have only been a very few studies on translanguaging with particular emphasis and attention given to ESL/EFL adults at the college/university level. This research study thus attempts to shed light on the theoretical underpinnings of this L1-L2 dichotomy and discuss how translanguaging differs from the customary notion of using L1 in the adult L2 classroom. This study uses a qualitative research method that exclusively uses the relevant secondary references/works available on the topic. The results demonstrated that both translanguaging and the notion of L1use in the L2 classroom are pedagogically similar as both allow the use of L1 in L2 classrooms at varying degrees though theoretically, they are different.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, 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 score0.095
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.003
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 head0.017
GPT teacher head0.250
Teacher spread0.233 · 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

Citations4
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueELT Echo The Journal of English Language Teaching in Foreign Language ContextSame topicSecond Language Learning and TeachingFrench-language works237,207