Chinese ESL Learners’ Perceptions of English Language Teaching and Learning in Australia
Bibliographic record
Abstract
In recent decades, with the rapid economic development of China, there has been a large influx of Chinese students into Western countries to pursue their studies. Empirical research reveal that some students encounter linguistic and academic challenges, and find it difficult to adapt to the Western learning environment. Adopting a qualitative approach, this research examines how Chinese ESL learners perceive English language teaching in Australia and the learning difficulties they face. By doing so, it seeks to help instructors make informed pedagogical decisions and assist learners in addressing these difficulties. Ten Chinese students who were or have been enrolled in a university English language program participated in interviews. The findings reveal that the participants show highly positive attitudes toward the communicative approach, and mostly favor grammar instruction within communicative practice. The learning difficulties they experience are mostly influenced by their prior exposure to Chinese teaching and learning styles. The study suggests that teachers should be aware of learners’ needs and prior learning experiences, so that they could engage in more effective interventions, and assist learners in developing their own learning strategies in the academic adaptation.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.004 | 0.011 |
| 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 | 0.002 |
| 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 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".