Revolutions & re-iterations : An intellectual history of problem-based learning
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
textabstractThe same year as the opening of the Woodstock music festival, a small medical school in Hamilton, Ontario, launched a daring new medical education programme in which lectures were replaced by small-group, interdisciplinary problem-based tutorials. Problem-based learning, as it became known, took the world of higher education by storm, such that today over 500 institutions in the World claim to use this method in almost every field of study, from engineering to liberal arts. Through the in-depth historical analysis of archive materials, oral history interviews and contemporary publications, this thesis proposes a rigorous account of the intellectual history of PBL from its birth place at McMaster University, to its evolution in Maastricht University, closing on a comparison with the Danish problem-oriented, project-based model of higher education. The author delivers a narrative that stands at the cross-roads between history, philosophy of education and cognitive psychology. “Revolutions and Re-iterations” retraces not only the key historical events that shaped PBL but also the sources of inspiration for many of PBL’s key features and the central theoretical debates that defined the practice of PBL since the 1970s.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 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