El e-Portfolio de competencias en los procesos de acompañamiento de enseñanza y aprendizaje escolar
Bibliographic record
Abstract
En el marco de la formacion inicial para la docencia, se implementa el ePortafolio de competencias como dispositivo para apoyar el desarrollo profesional de los estudiantes en practicas, que realizan una escritura reflexiva con acompanamiento. Nuestro texto presenta dos estudios: uno desarrollado en la universidad de Lleida y el otro en la universidad de Sherbrooke, con estudiantes en practicas de 2o y 4o curso, respectivamente, que editan sus ePortfolios de competencias profesionales. Se explican las caracteristicas de las plataformas y del dispositivo. Seguidamente, se presenta la metodologia y los resultados del estudio. Sobre estos, subrayaremos la importancia del acompanamiento y la orientacion, dos aspectos esperados por los practicantes, el compromiso en la escritura reflexiva y el desarrollo profesional proximo.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.008 | 0.019 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.010 | 0.008 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 0.002 |
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 source (direct Gemma or distilled Codex), 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".