Language Proficiency Requirements and International Enrolment: A Systematized Review
Bibliographic record
Abstract
The internationalization of the Canadian higher education system is becoming increasingly delicate, yet complex. This major research paper aims to develop an understanding of the impact that language proficiency requirements have on international students’ ability to study abroad at post-secondary institutions. This paper employs a theoretical framework of neoliberal education and culturally relevant pedagogy to analyze enrolment management practices and opportunities through a student-centred lens. A systematized review of the literature concerning English language proficiency (ELP) of international students in higher education was conducted. Results were synthesized into two key themes: language proficiency and university admissions and the student experience. The former theme addresses the research question directly, determining that all aspects of ELP and the admissions process highlighted ineffective practices likely to cause difficulties for international students. The latter theme answers the research question indirectly, resulting in a call for increased support both academically and socially. A holistic approach to the development of international students’ ELP that spans both institutional organization and the student journey would best limit adverse impacts on the student experience. Positive retention rates and student experience both serve as recruitment tools for future students. Therefore, the literature’s call for a holistic approach to international studentlanguage development offers reciprocal benefits for students and institutions alike.
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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 | 0.009 | 0.029 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.014 | 0.021 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".