Voices and Visions: An Appreciative Inquiry into International Master's Students' Ideal Learning Experience at a Southern Ontario University
Bibliographic record
Abstract
In this study, the researcher used the Appreciative Inquiry's dream phase to investigate international master's students' ideal learning experiences at a Canadian university.The research question was, "How do international students describe their ideal experience in terms of quality and learning experiences in a master's program?"Findings revealed a strong desire for an education that blended theoretical knowledge with practical skills.Key themes included the importance of fair tuition fees, meaningful interaction with local students, and comprehensive career development opportunities.These conditions were identified as pivotal to a transformative educational journey.The study findings urge educators and policymakers to focus on international students' well-being and future employability and highlight the multifaceted benefits for students, institutions, and broader international relations.The insights gathered underscore the potential of a student-centered academic approach in shaping an educational landscape that responds to the aspirations and needs of international graduate students.
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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 | 0.010 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.042 | 0.021 |
| Scholarly communication | 0.021 | 0.006 |
| Open science | 0.003 | 0.018 |
| Research integrity | 0.003 | 0.011 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".