Two Expatriate English Instructors in China: Their Experiences, and Perspectives of Local Students and Teachers
Bibliographic record
Abstract
This study explores how two expat English writing instructors in Chinese universities teach and reflect on their role, as well as how their students, colleagues, and administrators perceive the role and teaching of the two expats. Findings illustrate that both expats worked hard to teach the English academic writing style they were familiar with. One (Allan) did so by adopting a “Chinese style” of lecturing and the other (Barbra) did so by focusing on process-oriented writing activities. Students, however, complained about a lack of interaction in Allan’s classes and a planned curriculum in Barbra’s classes. The Chinese professors believed that the expat teachers, without knowing students’ needs for a combination of systematic knowledge learning and interactive classroom teaching, are disadvantaged over the local Chinese teachers. The study, by illustrating how the local and expat participants are “otherized,” suggests that the two parties should exchange views to discuss better practice and to avoid stereotyping.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.016 | 0.004 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".