Experiences of International Students at a Canadian University
Bibliographic record
Abstract
Universities in Canada are increasingly attracting international students, but few studies have examined their experiences. This research identified the key supports and barriers for international students in order to make policy-relevant recommendations. This convergent mixed-methods study combined survey (n = 104) and interview (n = 14) data to investigate international student experiences through the lens of international students. Exploratory factor analyses revealed writing and mathematics skills and relationships with faculty and students as key factors for success. Frequency analyses revealed that racism was a persistent barrier. Assistance, access, diversity and equity issues were also raised. Open and axial coding of qualitative data corroborated these findings and revealed three dimensions of internationalization according to international students’ perspectives: Exchange; Understanding, Sharing, and Support; and Transformation. Recommendations to universities included offering bursaries to international students from underrepresented regions, developing intercultural awareness of faculty, and providing program-specific student support centres with peer mentors.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.029 | 0.007 |
| Scholarly communication | 0.010 | 0.002 |
| Open science | 0.002 | 0.009 |
| Research integrity | 0.001 | 0.004 |
| 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".