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Record W2995875493 · doi:10.5539/elt.v13n1p112

The Impact of Teaching Critical Thinking on EFL Learners’ Speaking Skill: A Case Study of an Iranian Context

2019· article· en· W2995875493 on OpenAlexaffvenueabout
Alireza Mousavi Arfae

Bibliographic record

VenueEnglish Language Teaching · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicEducation and Critical Thinking Development
Canadian institutionsWestern University
Fundersnot available
KeywordsPsychologyInterpersonal communicationContext (archaeology)Critical thinkingLanguage proficiencyPromotion (chess)Mathematics educationTeaching methodPedagogySocial psychology

Abstract

fetched live from OpenAlex

English speaking proficiency requires more than knowing its grammatical and semantic rules. It also includes the knowledge of how native speakers of one language use the language in the context of structures of interpersonal exchange, within which many factors interact. Critical thinking is the deliberate determination of whether we should accept, reject, or suspend judgment about a claim and of a degree of confidence with which the language speakers accept or reject it. The present quasi-experimental study aimed to investigate the impact of teaching critical thinking on the speaking skill of EFL learners. To this end, 44 male and female intermediate students at Respina Talk (i.e., Iran-Canada) language school with the age range of 20-35 were selected in order to achieve the objectives of the study. According to the obtained results, there was a significant relationship between the promotion of critical thinking and EFL learners’ speaking skill. The findings of this study may have some theoretical and practical implications for material developers, EFL teachers, language learners, etc.

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)0.006
metaresearch head score (Gemma)0.007
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.069
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.020
GPT teacher head0.383
Teacher spread0.363 · 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

Citations9
Published2019
Admission routes3
Has abstractyes

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