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Record W4399864418 · doi:10.5430/wjel.v14n5p381

Teachers’ Perceptions of the Impact of Teacher-Student Rapport on Motivation in the ESL Classroom

2024· article· en· W4399864418 on OpenAlexvenueno aff
Mouna Abou Assali, Lydia Davenport

Bibliographic record

VenueWorld Journal of English Language · 2024
Typearticle
Languageen
FieldArts and Humanities
TopicEFL/ESL Teaching and Learning
Canadian institutionsnot available
Fundersnot available
KeywordsPerceptionPsychologyMathematics educationIntrinsic motivationPedagogySocial psychology

Abstract

fetched live from OpenAlex

The purpose of this study was to explore English as a Second Language (ESL) teachers’ perceptions of the impact of teacher-student rapport on student motivation in ESL classrooms in the United Arab Emirates. A quantitative survey design was employed. Data was collected through a questionnaire distributed to 154 ESL teachers. Descriptive and inferential statistics were used for data analysis. The findings showed that teachers recognized the significance of rapport in developing a supportive learning environment and enhancing student motivation. Challenges to building rapport were also identified along with strategies to address them. Statistical testing supported the hypothesis regarding these relationships. The study was limited to teacher perceptions and did not include student voices. Future research could explore rapport from both perspectives longitudinally. This study provides empirical evidence on the complex role of teacher-student rapport in motivating ESL learners. The findings offer insights for optimizing ESL education through targeted policy and practice.

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)0.004
metaresearch head score (Gemma)0.011
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0020.001
Scholarly communication0.0030.001
Open science0.0000.002
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 head0.024
GPT teacher head0.295
Teacher spread0.272 · 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 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

Citations3
Published2024
Admission routes1
Has abstractyes

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