Internationalization of a Faculty SoTL Program: Immersion Experiences of Beijing Professors in a Canadian Research-Intensive University
Bibliographic record
Abstract
This essay describes an international exchange program at the University of British Columbia (UBC) for a cohort of faculty from the Bilingual Training Program (BTP) of the Beijing Teachers Training Center for Higher Education (BTTCHE). The Beijing professors’ cohort participated in an adapted version of UBC’s Faculty Certificate Program on Teaching and Learning (FCP), which provided them with an immersion experience designed to improve their English language skills and to enhance their understanding of key concepts pertaining to the scholarship of teaching and learning (SoTL) within and across disciplinary contexts. Critical reflections from both participants’ and instructors’ perspectives suggest that the program was successful in developing a strong community of learning and intentions for reforming individual teaching practices through engaging in scholarly approaches to and scholarship of teaching and learning. Based on various feedback data and reflection strategies, future iterations of this program will include better integration of language proficiency within the formal SoTL curriculum, as well as provide succession planning for continuing a blended SoTL community among the participants when returning to Beijing.
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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 | 0.005 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.031 | 0.010 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.003 | 0.012 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.006 | 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".