Principles for effective pedagogy : international responses to evidence from the UK Teaching & Learning Research Programme
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Introduction Mary James and Andrew Pollard Chapter 1. TLRP's ten principles for effective pedagogy: rationale, development, evidence, argument and impact Mary James and Andrew Pollard Chapter 2. Pedagogy, didactics and the co-regulation of learning: a perspective from the French-language world of educational research Linda Allal Chapter 3. Commonalities and differences: some 'German' observations on TLRP's ten principles for effective pedagogy Ingrid Gogolin Chapter 4. Contributions to innovative learning and teaching? Effective research-based pedagogy - a response to TLRP's principles from a European perspective Filip Dochy, Inneke Berghmans, Eva Kyndt and Marlies Baeten Chapter 5. A response from Japan to TLRP's ten principles for effective pedagogy Tadahiko Abiko Chapter 6. Yes Brian, at long last, there is pedagogy in England - and in Singapore too. A response to TLRP's Ten Principles for Effective Pedagogy David Hogan Chapter 7. A response from Canada to TLRP's ten principles for effective pedagogy Lorna Earl
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.011 | 0.019 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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 it