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Record W2801329128 · doi:10.5539/ies.v11n5p1

Critical Thinking as a Nourishing Interface to EFL Context in Higher Education

2018· article· en· W2801329128 on OpenAlexvenueno aff
Elçin Petek

Bibliographic record

VenueInternational Education Studies · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicEducation and Critical Thinking Development
Canadian institutionsnot available
Fundersnot available
KeywordsFlourishingPsychologyContext (archaeology)Mathematics educationQualitative researchPedagogyCritical thinkingPerceptionForeign languageLanguage acquisitionAction researchEnglish as a foreign languageFormal learningSociologySocial psychology

Abstract

fetched live from OpenAlex

As one of the renowned learning and innovation skills of 21st century, critical thinking (hereafter CT) has been studied in various fields of education. Contrary to expectations, the emphasis on the mutual link between CT and language learning in tertiary education is newly flourishing. That being the case, the awareness of English as a Foreign Language (hereafter EFL) learners regarding this close connection and how it affects their perceived language learning potential should be inquired and increased. Drawing on such need, this paper reports on the investigation of an action research implementation and its effects on the perceptions of EFL learners over a ten week period of CT integrated practice. Qualitative and quantitative analysis of the data collected through two CT tasks, open-ended questionnaires, and semi-structured interviews based on learners’ logs revealed an unequivocal influence on the perspectives of EFL learners towards CT and language learning. The implementation also helped the learners improve their thinking and language skills.

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)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.707
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.006
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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.118
GPT teacher head0.497
Teacher spread0.380 · 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; both teacher heads agree on what is shown here.

Study designTheoretical or conceptual
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

Citations6
Published2018
Admission routes1
Has abstractyes

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