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Record W2604267137 · doi:10.5539/elt.v10n5p28

Foreign Language Anxiety in Saudi Classroom: A Case Study of Saudi Tertiary Female Students in Prince Sattam University

2017· article· en· W2604267137 on OpenAlexvenueno aff
Asjad Ahmed Saeed Balla

Bibliographic record

VenueEnglish Language Teaching · 2017
Typearticle
Languageen
FieldArts and Humanities
TopicEFL/ESL Teaching and Learning
Canadian institutionsnot available
Fundersnot available
KeywordsAnxietyCommunication apprehensionPsychologyFear of negative evaluationTest anxietyForeign language anxietyForeign languageTertiary levelTest (biology)Developmental psychologyClinical psychologySocial psychologyMathematics educationPsychiatrySocial anxiety

Abstract

fetched live from OpenAlex

This paper investigates the level of anxiety due to learning English as a foreign language. It tries to answer these questions: 1-Is anxiety a factor in hindering English proficiency? 2-Does anxiety lead to fear of communication? 3- Which type of anxiety is high among tertiary level female Saudi students? The Foreign Language Anxiety Classroom Scale (FLACS) used as an instrument. The data was collected and statistically analysed through SPSS. This paper revealed that anxiety was one of the major factors that impeded English proficiency. Besides, anxiety also caused fear of communication among the students. Furthermore, it was found that the learners had got a high level of communication apprehension that hindered their contact with their teachers and others. This was followed by test anxiety in which the students expected to fail their test. Students showed great fear of test as they feared to be negatively assessed by teachers, this fact had created great anxiety that influenced their attitudes and behaviour as well.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.010
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0040.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.018
GPT teacher head0.281
Teacher spread0.263 · 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 source (direct Gemma or distilled Codex), 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

Citations6
Published2017
Admission routes1
Has abstractyes

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