The Impact of Academic Acculturation and Language Proficiency on International Students’ University Experience and Academic Success: A Longitudinal Study
Bibliographic record
Abstract
The Canadian Academic English Language (CAEL) assessment is a proficiency test for university admission. Most research has focused on the paper edition, not the recent computer edition (CE). Validity research on other proficiency tests found that relationships between proficiency scores and academic achievement measures can be tenuous because other factors intervene in students’ chances of success. Research on academic success has examined academic acculturation as one factor. However, the impact of acculturation on academic achievement has not been examined alongside language proficiency test scores. The current study investigated this issue by focusing on students with a range of CAEL scores and examining the relationship between CAEL-CE scores, academic achievement, and academic acculturation. Forty-four students at a Canadian English-medium university participated in the study. Students’ grade point averages were obtained, and an academic acculturation questionnaire was administered. A subset of participants took part in focus groups. The findings and their implications are discussed.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| 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".