MétaCan
Menu
Back to cohort
Record W3011913683 · doi:10.5539/ijel.v10n3p59

Idiomaticity as a Language Learning Barrier: The EFL Context of Saudi Arabia

2020· article· en· W3011913683 on OpenAlexvenueno aff
Abdalla Elkheir Elgobshawi

Bibliographic record

VenueInternational Journal of English Linguistics · 2020
Typearticle
Languageen
FieldPsychology
TopicSecond Language Acquisition and Learning
Canadian institutionsnot available
FundersDeanship of Scientific Research, Prince Sattam bin Abdulaziz UniversityPrince Sattam bin Abdulaziz University
KeywordsSyllabusContext (archaeology)PsychologyRelevance (law)CurriculumPerspective (graphical)Language acquisitionMathematics educationEnglish languageLinguisticsPedagogyComputer scienceArtificial intelligence

Abstract

fetched live from OpenAlex

The aim of this paper is to investigate the impact of Idiomaticity on language learning and the extent to which it can be a language learning barrier. It contrasts the perspective of language teachers and the attitude of language learners regarding how idioms can influence language learning. The theoretical framework provides a description of the general properties of English idiomatic expressions and shows the relevance of idiomaticity to linguistic theory. The paper is based on an analytical analysis and follows a quantitative approach in which two questionnaires are used to collect the data. The two questionnaires are administered to two independent samples: 20 participants representing ELT teachers at the tertiary level and 80 subjects representing Saudi EFL college students. The data are then analyzed using SPSS (Statistical Package for the Social Sciences). The study reveals learners’ reasonable consensus on the issues assessed. They generally acknowledge the significance of idioms for language learning but with a general dissatisfaction with their status in learning and teaching contexts. Both teachers and learners view idioms as odd pieces of language that lack a uniform character and do not receive due attention in language syllabi and curricula. Teachers give different ratings on the pedagogical value of idioms, but they generally show low interest in teaching them.

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)0.089
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, 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: Empirical
Teacher disagreement score0.746
Threshold uncertainty score0.991

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.089
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 science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0100.000

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 head0.318
Teacher spread0.300 · 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

Citations0
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueInternational Journal of English LinguisticsSame topicSecond Language Acquisition and LearningFrench-language works237,207