Self-Assessed Professional Competence of the High School EFL Teachers in Toraja Indonesia
Bibliographic record
Abstract
The teaching of English as a foreign language (EFL) in Toraja is influenced by the quality of teachers from elementary to university level. The Ministry of National Education in Indonesia has stipulated four competencies that should be mastered by teachers: pedagogical competence, professional competence, personal competence, and social competence. The professional competences of foreign language teachers include a knowledge of various aspects of language in English (linguistics, discourse, sociolinguistic and strategic) and mastery of oral and written English language. The purpose of this study is to identify the perceived level of professional competence of high school EFL teachers in Toraja. For this study, 31 high school EFL Teachers in Toraja were chosen randomly from both public and private schools. Data was collected from questionnaires administered in person and by e-mail. The descriptive statistical results of this research show that half of the teachers reported themselves to have only a fair level of professional competence. This suggests the need for in-service training or professional development activities for high school EFL teachers in this region in order to improve their competence and confidence in teaching English.
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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 | 0.002 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".