Teachers’ Awareness of Student-Centered Pedagogy and Assessment in EFL Context
Bibliographic record
Abstract
The academic community unanimously asserts that student-centered pedagogy and assessment (SCPA) practices are indispensable for instructional methodology and evaluation. Existing literature indicates a noticeable, possibly minimal, gap in attention, particularly within the context of Najran University, regarding English teachers' awareness of these two fundamental practices. Consequently, this study investigated English teachers' awareness regarding SCPA practices in the English as a Foreign Language (EFL) context. Additionally, the study sought to analyze participants' responses in correlation with their gender, experience, degree, and specialization. The research objectives were achieved through a survey method, employing a set of instruments comprising a questionnaire and a semi-structured interview conducted with a conveniently chosen sample of 73 faculty members. The results revealed a very high level of awareness among faculty members regarding SCPA practices in the EFL context. Furthermore, gender, experience, degree, and specialization were found to have no significant impact on the responses of the study sample. Qualitative analysis of the semi-structured interviews highlighted the connection between SCPA practices and students' language success, emphasizing factors, such as encouragement, engagement, responsibility, and positive impact. The study's findings provide recommendations and implications for future practices in English language teaching.
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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 | 0.005 | 0.013 |
| 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 | 0.002 |
| Research integrity | 0.001 | 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".