Reality of Linguistic Competencies of Pre-Service and In-Service Female Physical Education Teachers in the Sultanate of Oman
Bibliographic record
Abstract
This study aims to identify the acquisition of linguistic competencies by pre-service physical education teachers at the College of Education, Sultan Qaboos University, and in-service physical education teachers in Muscat and Dhofar Governorates in Oman, as well as any statistical differences between these two groups. The population of the study consisted of 30 pre-service teachers and 28 in-service teachers. The observation card instrument was used to collect data. The results showed that the acquisition level of the linguistic competencies of pre-service physical education teachers was medium. However, the acquisition level of the linguistic competencies of in-service physical education teachers was high. Furthermore, there were significant differences between the acquisition level of linguistic competencies in pre-service and in-service teachers in favor of in-service teachers. Based on these findings, we recommend developing these competencies in pre-service teachers during the teacher education program by focusing particularly on planning, implementation, and assessment.
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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 | 0.001 |
| 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".