Business English Practice Teaching Conforming to Chinese Students’ Expectations
Bibliographic record
Abstract
By means of quantitative and qualitative analysis, this paper examines business English practice teaching that conforms to Chinese students’ expectations. 386 students majoring in business English participated in an questionnaire and interview. Statistical analysis revealed that business English practice teaching that most conforms to students’ expectations are the methods, means and curriculum. On the other hand, teaching conditions, teachers’ competence of guidance, content organization and practice cannot meet students’ needs. The results indicate that Chinese teachers of business English are not sufficiently and practically competent, practice conditions prove to be unfavorable and that the practice of curriculum is irrelevant to job market. In addition, objectives of practice teaching and curriculum design, which is followed by teachers’ competence, account most for teaching effect. Accordingly it is essential that teachers’ professional practice competence should be developed and authentic business teaching environment be created so as to improve the quality and effect of the current business English practice teaching in China.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.002 | 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".