Going Global in the Time of Corona: HCT-SAIT Virtual Student Mobility Pilot
Bibliographic record
Abstract
The concept of international exchange of students, in person or virtually, is in existence for several decades and the benefits and challenges of such exchange programs are extensively discussed in the literature.However, the literature is limited to the students' exchange programs for language courses and is confined to the western countries such as UK, USA, France, Sweden, Finland, Poland, Ireland and Israel.There is a dearth of scholarly work on the international exchange of students between Middle Eastern Countries and Western countries.Furthermore, the process from conception to completion of an exchange program reflecting the benefits and challenges from faculty and students' perspectives is not readily available.The purpose of this white paper is to share the process adopted by the Higher Colleges of Technology (UAE) to pilot its first successful virtual student exchange with the Southern Alberta Institute of Technology (Canada), using the collaborative online international learning approach.The paper also highlights the challenges faced during the pilot, and strategies adopted to mitigate the challenges and benefits of the exchange program for the faculty and students.Paraphrasing Gabriel García Márquez' "Love in the Time of Cholera" in the title of this paper, the authors want to emphasize the context in which this experience took place -both as an obstacle and as an opportunity.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 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 | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.017 | 0.003 |
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".