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Record W4290635997 · doi:10.5430/wjel.v12n6p262

Willingness to Communicate in an ESP Class: A Qualitative Study

2022· article· en· W4290635997 on OpenAlexvenueno aff
Achmad Sjaifullah, Ekaning Dewanti Laksmi

Bibliographic record

VenueWorld Journal of English Language · 2022
Typearticle
Languageen
FieldArts and Humanities
TopicSecond Language Learning and Teaching
Canadian institutionsnot available
Fundersnot available
KeywordsClass (philosophy)TOEICSet (abstract data type)Willingness to communicatePsychologyMathematics educationQualitative researchMedical educationComputer scienceSignificant differenceSocial psychologySociologyMedicineArtificial intelligence

Abstract

fetched live from OpenAlex

This study aims to investigate how the students are willing to communicate in an ESP class. This in-depth study employed students’ TOEIC scores as a reference to select the subjects of the study. An in-depth interview was used as the main research procedure together with the primary data. The in‐depth interview allowed the us to develop deeply into social and personal matters that the students have experienced in communicating in English. For the sake of an effective interview, a set of questions related to the WTC was prepared prior to the implementation of the interview. This study found that students’ willingness to communicate in L2 is not solely due to proficiency. Yet, other factors such as interlocutors, classroom activities, topics, tasks, classroom contracts, and teaching media are the factors that also influence students ’WTC in ESP classrooms. It is expected that this study can provide recommendations in order to improve communication. This study was conducted at a State Polytechnic based in Malang, Indonesia.

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)0.000
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 score0.093
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
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)0.0030.000

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 head0.038
GPT teacher head0.325
Teacher spread0.287 · 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
Published2022
Admission routes1
Has abstractyes

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