A Study of Face-to-Face and Online Teaching Philosophies in Canada and Australia
Bibliographic record
Abstract
The perspectives of instructors who teach both online and face-to-face in a higher education context have been compared in this study. The differences and similarities between their approaches, and the influences each modality has on the other have been explored, as well as possible differences in organizational cultures between the groups who were based in Canada and Australia. The trend to blended learning in higher education was an important outcome of the study Les points de vue des formateurs qui enseignent en ligne et en face à face dans un contexte universitaire ont été comparés dans cette étude. Les différences et les similarités entre les approches, et les influences que chaque modalité a sur l’autre ont été examinées, en même temps que les différences de culture organisationnelle entre les groupes situés au Canada et en Australie. L’identification de la tendance vers l’apprentissage mixte (blended learning) aux études universitaires est un résultat significatif de l’étude.
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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 | 0.004 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.018 | 0.004 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".