Understanding international and domestic student expectations of peers, faculty and university: Implications for professional communication pedagogy
Bibliographic record
Abstract
Increasing populations of international students are entering Canadian universities, and instructors of Professional Communication must rapidly adapt to a changing student population. At the studied Maritime Canadian university, numbers of international students increased by 300% between 2009 and 2013. These numbers necessitate a review of our pedagogical approach to ensure student learning, success, and satisfaction in Professional Communication classrooms. Student expectations are linked to their satisfaction and, therefore, retention. We know little about the expectations incoming international students have of the university, their Canadian peers, and their instructors. We also know little about the reciprocal expectations held by domestic students and faculty of these incoming students. By surveying both domestic and international students, we sought to understand their expectations and determine if international student expectations differ from those of their domestic peers and from those of faculty. Understanding student expectations will contribute substantially to our ability to adapt pedagogy, to manage the gap between expectation and satisfaction, to develop appropriate intervention strategies, and to improve retention.
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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 | 0.038 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.004 | 0.003 |
| 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".