MétaCan
Menu
Back to cohort
Record W2179154645 · doi:10.5539/elt.v8n12p191

Traditional & Socio-Cultural Barriers to EFL Learning: A Case Study

2015· article· en· W2179154645 on OpenAlexvenueno aff
Jameel Ahmad

Bibliographic record

VenueEnglish Language Teaching · 2015
Typearticle
Languageen
FieldArts and Humanities
TopicEFL/ESL Teaching and Learning
Canadian institutionsnot available
FundersKing Abdulaziz University
KeywordsPrestigePsychologyCurriculumProsperityQualitative researchContext (archaeology)PedagogyLanguage acquisitionEnglish languageMathematics educationSociologySocial scienceLinguisticsPolitical science

Abstract

fetched live from OpenAlex

<p>This research tends to ascertain several traditional and socio-cultural barriers to English language learning in Saudi Arabia and to explore more ways than before for making teaching and learning more effective. The findings of four quantitative and qualitative surveys conducted in this regard reveal a unique traditional and socio-cultural milieu, which turns the Saudi EFL learners lackadaisical towards English. The belief that prosperity and prestige are blessed by divine force rather than proficiency in English has influenced Saudi parents and Saudi EFL learners since time in memorial. In addition, a laissez-faire attitude to English language teaching in Saudi schools, lack of motivation for English, inadequacy of competitive and learning environment both at home and schools, and the appointment of some unskilled school-teachers were investigated as some of the major barriers to learning English in the Kingdom of Saudi Arabia. A piecemeal reform taken over a period was found ineffective. Therefore, implementation of culturally relevant English curricula, learner-centered instruction, appointment of skilled English teachers and establishment of boarding schools were recommended to address the aforementioned challenges. The findings of the present research is no doubt specific to Saudi EFL context but the traditional and socio –cultural barriers and the exclusion of local culture in EFL textbooks may have exactly the same impact in many non-native English speaking countries.</p>

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)0.004
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 score0.150
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0010.000
Open science0.0000.000
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 head0.071
GPT teacher head0.302
Teacher spread0.231 · 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

Citations14
Published2015
Admission routes1
Has abstractyes

Explore more

Same venueEnglish Language TeachingSame topicEFL/ESL Teaching and LearningFrench-language works237,207