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Record W2144878069 · doi:10.15537/1658-3175.1401

Problem-based learning. A critical review of its educational objectives and the rationale for its use

2001· review· en· W2144878069 on OpenAlex

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueSaudi Medical Journal · 2001
Typereview
Languageen
FieldMedicine
TopicInnovations in Medical Education
Canadian institutionsnot available
FundersUniversity of Melbourne
KeywordsCurriculumProblem-based learningMedicineSet (abstract data type)Active learning (machine learning)Medical educationArtificial intelligencePedagogyComputer scienceSociology

Abstract

fetched live from OpenAlex

Over the past 30 years there has been an increasing interest in curriculum innovation in medical schools in North America, the United Kingdom, Netherlands, and Australia. Since the introduction of problem-based learning at McMaster University in Canada in 1969, several medical schools throughout the world have adopted problem-based learning as the educational and philosophical basis of their curricula. Several studies have shown that problem-based learning is an important educational strategy for integrating the curriculum, motivating the students and helping them to identify their learning issues and set their own learning goals. However, there is a great deal of concern regarding what problem-based learning means and the advantages of problem-based learning over traditional curriculum have not been clearly addressed. In this review, a broad range of the definitions of problem-based learning have been addressed and the rationale for problem-based learning and its educational objectives are discussed.

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 imitation

Not 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.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.131
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.772
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.131
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.075
GPT teacher head0.439
Teacher spread0.364 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it