A Learning‐centred Faculty Certificate Programme on University Teaching
Bibliographic record
Abstract
Learning‐centred education (LCE) has the potential to meet the diverse needs and circumstances of a multidisciplinary faculty cohort enrolled in a certificate programme on teaching and learning by engaging participants in a learning community, and by drawing upon a wide range of appropriate teaching strategies to facilitate learning and development of student abilities. Action research design was employed to examine the theory‐practice relationship of LCE within the UBC Faculty Certificate Programme on Teaching and Learning in Higher Education. Research data, both quantitative and qualitative, collected over a 12‐month period, suggest that a multidisciplinary faculty cohort exhibits diverse learning styles, and that individual faculty members are at different stages in developing a scholarly approach to teaching and learning. Furthermore, data suggest that LCE can be used to organise a faculty certificate programme around teaching and learning issues relevant to university faculty and that some structuring of the LCE environment can assist in the attainment of course learning outcomes while engaging faculty as active participants in their personal developmental process.
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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 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.030 | 0.006 |
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".