Sharing best practices in applications of evidence-based medicine, problem-based learning and self-directed learning principles in medical training: A McMaster-Brazil collaboration workshop report
Bibliographic record
Abstract
<ns4:p>This article was migrated. The article was marked as recommended. In order to enhance the knowledge of different aspects of active teaching methods in medical education, and to introduce self-directed learning activities in home curriculum as well as to implement the research capacity building, a group of professors and researchers from two Brazilian Universities, namely, Universidade Estadual Paulista (UNESP), Botucatu Medical School, São Paulo, and Pontifícia Universidade Católica (PUC-MINAS), Minas Gerais, visited McMaster University in Canada in July 4-8, 2016. This paper is a brief report of the 5-day workshop and discussions among the McMaster and Brazilian colleagues. Among the topics covered, a detailed overview of the medical curriculum, "The COMPASS Curriculum"; in this learning process, students development of the problem-solving strategy, and helping cover learning objectives and knowledge transfer while discussing the clinical case-scenarios; other attention was given for strategies on how to provide institutional learning support for undergraduate students in order to achieve proposed learning objectives were presented, including discussions of a variety of integration possibilities between researchers and students, from different areas as well as joint supervision of PhD programs. Emphasis was given to the Research in Global Health with their inter-disciplinary methods, and transcultural care, that has created an impact on the professional practice. About Evidence Based Medicine was strengthened how its methods have moved to evidence-informed health systems which contribute to collective problem-solving, and in sharing the supporting tools for policies in public health. All talks and discussions were of very high quality and provided the basis for us to start discussing an implementation of the learned content in the curriculum. Finally, the opened opportunity of partnership among McMaster University, with two Brazilian medical schools, expanded medical education experience, possibilities for change, training and implementation of community programs, but also reinforced research methods and technology, promote collaboration aimed at health education.</ns4:p>
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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 | 0.007 | 0.046 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".