International Opportunities in Higher Education Promoted by the COVID-19 Pandemic: Results of A Three-Country Teaching-Learning Experience
Bibliographic record
Abstract
The COVID-19 pandemic has brought challenges and opportunities to teaching in higher education. The sudden pivot from in-person to online education posed unprecedented challenges to both teachers and students. At the same time, the sudden worldwide suspension of traditional ways of lecturing opened a space for experiments with innovative pedagogic approaches and techniques, including various forms of real-time inter-university exchange and student cooperation. COVID-19 pandemic caused a sudden and disruptive shift to emergency remote learning and teaching, as well as a simultaneous halt to international mobility of students, faculty and staff. These changes to established modes of teaching and learning in higher education along with the de facto end of all international mobility efforts led global health course directors from York University in Canada and Fulda University of Applied Sciences in Germany to establish a globally networked learning environment involving shared virtual lectures and international collaborative group projects. Students reported benefits of an enriched learning experience through the sharing of different perspectives, approaches and debates with international professors and peers. Coordination relating to time differences and expectations played a key role in success and overcoming challenges for collaboration among students. The COVID-19 pandemic has shown that cross-border inter-university teaching and learning is a feasible and beneficial pedagogic option.
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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 | 0.007 | 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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".