Bibliographic record
Abstract
Previous research identifies as crucial to successful online learning and teaching (eLT) transformative pedagogical strategies. Transformative L & T is the process by which we call into question our taken-for-granted habits of mind or mindsets to make them more inclusive, discriminating, open and reflective in order to guide our actions. This process can be codified into three phases that effectively ‘close the L & T loop’: critical reflection (feedback), reflective discourse (evaluation), and action (learning and teaching quality). This paper will examine the validity of these elements of transformative learning in relation to a blended (on-campus/online) tertiary-level capstone unit and current pedagogical models of eLT. Identifying and analyzing transformative L & T principles embedded (explicitly and implicitly) in the current blended experience provides a range of learning ideas, beliefs, habits and assumptions – pointing to self-direction, metacognition, and collaborative learning as key eLT facilitators – from which a broader pedagogical template responsive to eLT needs can be developed.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".