Aplicación del aprendizaje basado en problemas en estudiantes de medicina de la asignatura medicina interna I de la Universidad Nacional de Colombia Sede Bogotá
Why this work is in the frame
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Bibliographic record
Abstract
El aprendizaje basado en problemas (ABP) es un método en pedagogía que se ha venido aplicando en las escuelas de medicina del mundo durante las últimas 4 décadas. Iniciado en Mc-Master (Canadá), en Colombia su aplicación se ha realizado en varias facultades de medicina en los últimos años, brindando una herramienta muy útil a los estudiantes, no sólo para obtener el conocimiento de una manera constructivista y holística, sino para enfrentar los problemas a los que se verán retados en su vida profesional. Se presenta el diseño de un estudio exploratorio de investigación pedagógica dirigido a demostrar que la aplicación de la metodología ABP en la asignatura Medicina Interna I facilita el aprendizaje a los estudiantes de medicina, mientras se obtienen las ventajas adicionales de la metodología, como son: el desarrollo de una comunicación efectiva, el desarrollo del sentimiento de pertenencia grupal, manejo eficiente de diferentes fuentes de información, participación pertinente para la toma de decisiones entre otros. / Abstract. Problem based learning is a teaching system applied in several medical schools around of world along the last four decades, since its introduction at Mc-Master (Canada). In Colombia, It has been adopted by different universities within the last years, working as a useful tool for students; not only to obtain knowledge in a constructive and holistic way, given that, it also provides abilities to face and solve problems they will confront as professionals. A study of learning investigation addressed to demonstrate that its application facilitates internal medicine teaching for medical students will be presented. Furthermore, we intend to show additional advantages of the methodology as: effective communication skills development, efficient information management, and pertinent decision making, among others.
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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 | 0.004 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.003 | 0.003 |
| 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 it