Embodied and embedded theory in practice: The student-owned learning-engagement (SOLE) model
Bibliographic record
Abstract
The demands on academic staff in all sectors to adopt best ODL practices to create effective and efficient models of learning in the face of increasing external pressures show no signs of abating. The massification of higher education, diversified access, and pressures to meet institutional visions and research objectives demand of teaching staff an increasingly public design process subject to peer review in numerous forms. Expectations of systematized pedagogical planners and embedded templates of learning within the institutional virtual learning environments (VLEs) have, so far, failed to deliver the institutional efficiencies anticipated. In response, a new model of learning design is proposed with a practical, accessible, and freely available toolkit that embodies and embeds pedagogical theories and practices. The student-owned learning-engagement (SOLE) model aims to support professional development within practice, constructive alignment, and holistic visualisations, as well as enable the sharing of learning design processes with the learners themselves.
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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 | 0.007 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.024 |
| Scholarly communication | 0.010 | 0.010 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.008 | 0.002 |
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".