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Record W2767301135 · doi:10.3968/9880

On the Application of Cognitive Behavioral Therapy in Treating Foreign Language Listening Anxiety

2017· article· en· W2767301135 on OpenAlexvenueno aff
Yiying Zhang

Bibliographic record

VenueStudies in literature and language · 2017
Typearticle
Languageen
FieldPsychology
TopicEducational and Psychological Assessments
Canadian institutionsnot available
Fundersnot available
KeywordsActive listeningCognitive restructuringPsychologyAnxietyPsychoeducationCognitionSet (abstract data type)Intervention (counseling)PsychotherapistForeign languageRelaxation (psychology)Cognitive behavioral therapyForeign language anxietyApplied psychologyCognitive psychologyClinical psychologyPedagogySocial psychologyComputer sciencePsychiatry

Abstract

fetched live from OpenAlex

Cognitive behavioral therapy (CBT) is a set of treatments that focus on altering thoughts, sensations, emotions and behaviors by addressing identified maintenance mechanisms such as distorted thinking or avoidance. The aim of this study was to assess whether the use of CBT techniques in reducing foreign language listening anxiety is an acceptable intervention, and provide a description of many of the basic techniques used in CBT. These included: psychoeducation, relaxation exercises, exposure and cognitive restructuring. A feasibility study of a brief CBT intervention following training was conducted. Qualitative analysis was carried out on participant feedback from semi-structured interviews. The current article provided an interdisciplinary way for foreign language teachers to help college students reduce foreign language listening anxiety and improve learning achievements.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.525
Threshold uncertainty score0.224

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 science0.0000.000
Research integrity0.0000.000
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 head0.056
GPT teacher head0.459
Teacher spread0.403 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations1
Published2017
Admission routes1
Has abstractyes

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