Ghanaian EFL Teachers Working in Asia: Benefits and Implications for English Teachers Working Overseas
Bibliographic record
Abstract
The present study explores teachers of English as a foreign language (EFL) in Asia, their attitudes toward teaching English, the roles of teaching the English language, motivations, benefits, implications, and the reason they are highly recognized in non-English speaking countries. The researcher applied the qualitative method through semi-structured interviews with (n=4) Ghanaian teachers working in three countries in Asia as EFL instructors; their strengths and weaknesses were investigated. The result of semi-structured interviews revealed that Ghanaian teachers' primary role in Asia is to teach English and literacy skills. Moreover, the reasons they chose to work in Asia are higher salaries and better working conditions. Their inability to speak the local language and culture diversity were their weaknesses. Native and Non-native English teachers' preferences, which directly/indirectly affect English teaching, are discussed. The respondents' positive attitude toward English teaching overseas is also investigated and presented. This empirical study revealed the globalization of English in the 21st century.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".