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Record W2618471092 · doi:10.5539/elt.v10n6p28

Female Teachers’ Perceptions of Teaching Culture in EFL Classrooms at a Saudi University

2017· article· en· W2618471092 on OpenAlexvenueno aff
Bayan Al-Hashemi Al-Amir

Bibliographic record

VenueEnglish Language Teaching · 2017
Typearticle
Languageen
FieldArts and Humanities
TopicEFL/ESL Teaching and Learning
Canadian institutionsnot available
Fundersnot available
KeywordsLikert scalePsychologyMulticulturalismPerceptionIntercultural competenceCultural competencePedagogyCompetence (human resources)Intercultural communicationMathematics educationInterdependenceForeign languageLanguage educationMulticultural educationSociologySocial psychology

Abstract

fetched live from OpenAlex

In the literature of second language teaching and learning, culture and language have always been assumed to be interdependent. Their interdependence comes from the fact that language is not a code free from culture, but an embodiment of it. However, there is still a need, from the part of teachers, to realize the importance of integrating culture with language study. Using a three- Points Likert scale questionnaire, the current study aims at investigating teachers’ perceptions of culture teaching in English as a foreign language classrooms at the University of Jeddah. Moreover, it aims at discovering the type of cultural competence teachers seek to promote; whether it is intercultural or multicultural. The results show that female teachers support the study of the target culture. Furthermore, the results indicate that teachers’ perceptions lean more towards promoting multicultural competence instead of intercultural one.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, 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 score0.215
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0010.000

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 head0.016
GPT teacher head0.257
Teacher spread0.241 · 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

Citations13
Published2017
Admission routes1
Has abstractyes

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