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Record W2906713526 · doi:10.5539/ijel.v9n1p277

Impact of English Teachers’ Behavior on English Proficiency Skills of ESL Learners at Secondary Level

2018· article· en· W2906713526 on OpenAlexvenueno aff
Muhammad Arfan Lodhi, Zunaira Zafar, Nasim Akhtar, Sobia Sikander, Sana Farrukh

Bibliographic record

VenueInternational Journal of English Linguistics · 2018
Typearticle
Languageen
FieldPsychology
TopicInnovative Teaching and Learning Methods
Canadian institutionsnot available
Fundersnot available
KeywordsPsychologyMathematics educationPopulationMedical educationPedagogySociologyMedicine

Abstract

fetched live from OpenAlex

The main aim of this study is to investigate the impact of teachers’ behavior on English proficiency of ESL learners at secondary level. Teacher’s behavior directly or indirectly influences students’ performance positively or the otherwise. This study was descriptive in nature and survey based design was adopted to pursue operational phase. Respondents were selected from accessible population by using random and convenient sampling techniques. The data was collected quantitatively from 200 students and 40 teachers. Questionnaire was used to collect data from teachers and students to know their perceptive about the impact of instructor’s behavioral patterns on learners’ achievements. The raw data was analyzed followed by tabular, graphical and narrative interpretations. The findings of the study show that teacher’s behavior affects the whole language learning process according to the needs of the students. It further determines that there is a positive correlation between teacher’s positive behavior and student’s linguistic and academic growth. The results also show that positive behavior of female teacher was more learning friendly as compared to the behavior of male teachers. The study concludes with strong recommendation that positive behavior training skills should be implemented in continuous professional development programs for English language teachers. At times, positive behavior of teachers proved more beneficial than their competency for ESL learners.

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)0.003
metaresearch head score (Gemma)0.178
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.351
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.178
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.046
GPT teacher head0.413
Teacher spread0.366 · 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 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

Citations2
Published2018
Admission routes1
Has abstractyes

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