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Record W2788686552 · doi:10.5539/ijel.v8n3p210

Impact of ESL Learners’ Self-Esteem on Their Oral Proficiency

2018· article· en· W2788686552 on OpenAlexvenueno aff
Shugla Mandokhail, Fouzia Rehman Khan, Mehwish Malghani

Bibliographic record

VenueInternational Journal of English Linguistics · 2018
Typearticle
Languageen
FieldArts and Humanities
TopicEFL/ESL Teaching and Learning
Canadian institutionsnot available
Fundersnot available
KeywordsRubricSelf-esteemPsychologyScale (ratio)Language proficiencyEnglish languageSecond languageSample (material)Mathematics educationDevelopmental psychologyLinguisticsGeography

Abstract

fetched live from OpenAlex

This study attempted to investigate the relationship between ESL learners’ Oral proficiency and their level of Self-esteem. The sample consisted of 30 students of Master studying English language at SBK Women’s University Quetta Baluchistan. The data were gathered through two instruments: Rubric for ESL Oral Proficiency along with voice recording and the Rosenberg (1965) Self-esteem Scale. The technique applied was non participant controlled observation. To determine the relationship between ESL learners’ Oral proficiency and their level of Self-esteem, correlational analysis was employed quantitatively. The findings revealed a significant positive relationship between the two variables and asserted Krashen’s Affective Filter Hypothesis that an imaginary barrier of affective factors in learner prevents the learner from acquiring the target language.

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)0.017
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.936
Threshold uncertainty score0.991

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.017
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)0.0010.000

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 head0.035
GPT teacher head0.316
Teacher spread0.281 · 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 designNot applicable
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
Published2018
Admission routes1
Has abstractyes

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