Teachers’ Perceptions of the Impact of Teacher-Student Rapport on Motivation in the ESL Classroom
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".