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Record W3123541023 · doi:10.5539/elt.v14n2p9

A Correlational Study of the English Listening and Speaking Anxiety in Rural Areas

2021· article· en· W3123541023 on OpenAlexvenueno aff
Tuan Muhammad Hanif Tuan Ab Hamid, Faizah Idrus

Bibliographic record

VenueEnglish Language Teaching · 2021
Typearticle
Languageen
FieldArts and Humanities
TopicEFL/ESL Teaching and Learning
Canadian institutionsnot available
FundersResearch Management Centre, International Islamic University MalaysiaInternational Islamic University Malaysia
KeywordsActive listeningPsychologyAnxietyForeign language anxietyReading (process)Foreign languageLanguage assessmentEnglish languageMathematics educationDevelopmental psychologyPedagogyLinguisticsCommunication

Abstract

fetched live from OpenAlex

English proficiency amongst Malaysian is debatably on a decline. Possible causes of this phenomenon are extensively argued. Thus, renewed interest towards English language anxiety, an internal factor of learners’ level of intensity in listening and speaking skills, can sometimes be overlooked. An investigation was conducted on selected secondary schools' students in Selangor, a state in Malaysia. The schools lacked facilities and meagerly equipped with basic resources and facilities. A total of 311 non-national examination takers students from three different schools were selected. A set of questionnaire were distributed which adopted a composite of foreign language anxiety surveys, measuring their level of anxiety towards the English language classroom according to the four language skills (reading, listening, speaking, writing). The results were measured and the scores were tabulated. A correlation was established between the listening anxiety and speaking anxiety skill from the scores. This finding explored the possibility of reducing language anxiety in two skills by intervening in only one instance which can be helpful in reducing the time spent on managing the English language classroom anxiety. However, further studies should be conducted in order to improve the validity of this result.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.100
Threshold uncertainty score0.455

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
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 integrity0.0000.001
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 head0.010
GPT teacher head0.232
Teacher spread0.222 · 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 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

Citations14
Published2021
Admission routes1
Has abstractyes

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