The Qualities of Effective Teachers as Perceived by Saudi EFL Students and Teachers
Bibliographic record
Abstract
The aim of this study was to investigate the dominant types of qualities of effective teachers. The study further aimed at exploring the extent to which the students' and teachers' perceptions are different. The sample of the current study consisted of 150 students and 40 teachers in (16) female public intermediate schools in Al-Madinah Al-Munawarah to participate in the study. To achieve the purpose of the study, data were collected via a four point Likert-scale questionnaire designed by the researcher. The results of the descriptive statistics indicated that the mean and rank of the two types of the qualities of effective EFL teachers revealed that the dominant type among the participants was the instructional skills. Meanwhile, the personal traits of effective EFL teachers were ranked first by teachers and second by students. Additionally, the results of the Independent Sample T-Test showed no statically significant differences in the perceptions of Saudi EFL students and teachers with respect to the qualities of effective teachers.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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 source (direct Gemma or distilled Codex), 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".