MétaCan
Menu
Back to cohort
Record W4318064962 · doi:10.5539/elt.v16n2p74

The Sociocultural Perspective on the Use of L1 as a Supporting Tool for EFL Learning

2023· article· en· W4318064962 on OpenAlexvenueno aff
Panicha Nitisakunwut, Thanawat Nutayangkul, Aphiwit Liang-Itsara

Bibliographic record

VenueEnglish Language Teaching · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicSecond Language Learning and Teaching
Canadian institutionsnot available
Fundersnot available
KeywordsPsychologyFluencyForeign languageLanguage acquisitionSociocultural evolutionCommunicative competenceEnglish as a foreign languagePerspective (graphical)Language educationSociocultural perspectiveLanguage assessmentMathematics educationPedagogyComputer scienceArtificial intelligence

Abstract

fetched live from OpenAlex

Many English as a Foreign language (EFL) teachers think that a target language should be solely used as a medium of instruction to allow the learners to immerse in the target language. However, in the learning process, the learners learn about the language content and other cognitively-related skills such as discussion, reasoning, and evaluation to complete the tasks. Some tasks could be more challenging to understand, discuss, explain, or complete in learners’ foreign language because they might need higher competence and fluency in the target language. This article attempts to review socioculturally informed research on the use of L1 in L2 or EFL classes and the features of English as a foreign language. The advantages of utilizing L1 in EFL courses will next be covered. The article will conclude with some advice that EFL teachers might utilize to increase their students’ productivity in EFL classes by utilizing L1 as a supporting tool for language learning.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.008
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.002
Science and technology studies0.0030.014
Scholarly communication0.0080.006
Open science0.0010.004
Research integrity0.0020.003
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 head0.038
GPT teacher head0.293
Teacher spread0.255 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations3
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueEnglish Language TeachingSame topicSecond Language Learning and TeachingFrench-language works237,207