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Record W2790179573 · doi:10.5539/elt.v11n3p78

Investigating Tertiary Level EFL Learners’ Willingness to Communicate in English

2018· article· en· W2790179573 on OpenAlexvenueno aff
Tutku Başöz, İsmail Hakkı Erten

Bibliographic record

VenueEnglish Language Teaching · 2018
Typearticle
Languageen
FieldArts and Humanities
TopicEFL/ESL Teaching and Learning
Canadian institutionsnot available
Fundersnot available
KeywordsWillingness to communicatePsychologyTurkishClass (philosophy)Likert scaleTourismMathematics educationSignificant differenceMedical educationSocial psychologyLinguisticsDevelopmental psychologyMedicine

Abstract

fetched live from OpenAlex

The present study aimed to investigate Turkish EFL learners’ perceived levels of willingness to communicate (WTC) in English inside and outside the classroom. The study also aimed to explore whether there is a statistically significant difference between their in-class WTC in English and out-of-class WTC in English. The study, which employed a quantitative research design, was conducted with the participation of 701 EFL learners enrolled in the departments of Tourism Guidance and Tourism Management at Balıkesir University Faculty of Tourism located in Balıkesir, Turkey. The data collection instrument included a scale which measures the participants’ perceived levels of WTC in English. The data were analyzed descriptively through IBM SPSS 21. The findings of the study indicated that EFL learners have a moderate level of WTC in English. The findings also showed that there was a statistically significant difference between the participants’ perceived levels of their in-class WTC in English and their out-of-class WTC in English. It was found that they are more willing to communicate in English outside the classroom than they are inside the classroom. In the light of the findings, some practical recommendations were also noted.

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)0.003
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.173
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0000.000

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 head0.044
GPT teacher head0.282
Teacher spread0.237 · 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

Citations31
Published2018
Admission routes1
Has abstractyes

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