More Than Language: The Learning Experience of Chinese International English Language Learners (ELLs) at a Canadian University
Bibliographic record
Abstract
This study examines the learning experience of Chinese international undergraduate students taking a large core first-year anthropological science course (ANT101) by distance learning during the Winter of 2021 at the University of Toronto Mississauga (UTM). By analyzing qualitative and quantitative data collected from self-report pre- and post- course surveys (n=587), we review the general learning experience of Chinese international students (n=30) in comparison to other international students (n=34) and domestic students (n=523). Our study shows support, but at the same time undermines some prevailing notions about Chinese international student experiences of studying in Western universities. Our data suggests that while many Chinese international students may feel a lack of English language proficiency is a barrier to their learning, it does not significantly impact their performance when compared with domestic students. The preliminary results suggest that educational research and policy makers should move beyond a focus on language proficiency and examine the role of other factors when developing strategies to facilitate supportive learning environments for English Language learners (ELL) and international students in a university setting.
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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 | 0.001 |
| Science and technology studies | 0.011 | 0.004 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".