Física interactiva: nuevos recursos para evaluar el aprendizaje significativo
Bibliographic record
Abstract
[SPA] Moodle es una aplicación web del tipo Plataforma de Gestión del aprendizaje que permite crear comunidades de aprendizaje en línea. Este tipo de plataformas tecnológicas también se conoce como LMS (Learning Management System). En este trabajo, de las numerosas posibilidades de Moodle, nos centraremos en el módulo denominado cuestionario que permite crear una lista de preguntas que el alumnado debe responder para obtener una calificación. Existe una amplia variedad de tipos de preguntas (opción múltiple, verdadero/falso, respuestas cortas, etc.) que se pueden añadir a un cuestionario. De todas las opciones, nos ajustaremos a las preguntas de Opción múltiple, es decir, las clásicas preguntas “tipo test” donde se muestra un listado de posibles respuestas entre las que se debe escoger la que se considere correcta.
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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 | 0.010 | 0.027 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.004 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 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".