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Record W4386253830 · doi:10.5430/wjel.v13n7p540

Teachers’ Perceptions and Practices of Using L1 (Arabic) in EFL Classrooms at UTAS-Salalah

2023· article· en· W4386253830 on OpenAlexvenueno aff
Salim Al-Maashani, Badri Abdulhakim Mudhsh, Lorna Beduya, Antony Jawahar

Bibliographic record

VenueWorld Journal of English Language · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicSecond Language Learning and Teaching
Canadian institutionsnot available
Fundersnot available
KeywordsLikert scaleArabicPerceptionMathematics educationEnglish languageEnglish as a foreign languagePsychologyScale (ratio)GeographyLinguisticsCartography

Abstract

fetched live from OpenAlex

Using the first language (L1) in teaching English as a foreign language (EFL) has been debatable for decades. Therefore, this study draws on prior research and investigates teachers’ perceptions and the use of Arabic (L1) in EFL classes in the Sultanate of Oman. A sample of 45 EFL teachers, chosen from the English Language Unit, Center for Preparatory Studies at the University of Technology and Applied Sciences (UTAS)-Salalah, answered a 5-point Likert scale questionnaire. It was distributed as a Google form to collect data. The dataset was analyzed statistically using SPSS (Version 26.0). The study findings showed that the EFL teachers at the English Language Unit have positive perceptions towards using L1 in EFL teaching, especially for translation purposes. Besides, a positive correlation value (r= .826**) was found between perceptions and practices of L1 in the EFL classes. In addition, the findings showed no significant differences between the groups, neither in perceptions of nor in practices of L1 in the EFL classroom (p.>.05). Based on the findings, the study provides some important recommendations and implications for EFL teachers in Omani EFL settings and can be useful in other similar contexts.

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 categoriesInsufficient 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 score0.101
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.036
GPT teacher head0.303
Teacher spread0.267 · 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

Citations3
Published2023
Admission routes1
Has abstractyes

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