Evaluation of an Online “Internationalization at Home” Course on the Social Contexts of Addiction
Bibliographic record
Abstract
Internationalization of higher education to include international, intercultural, or global components into the delivery of postsecondary education has drawn increasing attention in the last two decades. A globally relevant course focusing on the “Social Contexts of Addiction” engaged students’ online interaction at a Canadian university with learners from across various institutions in mainland China, Macau, and Hong Kong. Although “internationalization at home” (IaH) is one of the most prevalent themes in the internationalization literature, empirical evaluation of its merits along with the challenges of its implementation is still limited. In this article, the authors used student and faculty feedback to identify the design factors of this online IaH course that facilitated its success and transformative benefits. Discussion highlighted several follow-up strategic initiatives to broaden the adoption and conversations on internationalization in teaching, and the necessity of multilevel support and alignments among government, university, and faculty leadership to sustain internationalization efforts across the curriculum.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".