Aula extendida: acercando el aula universitaria a los contextos escolares para reducir la distancia “teoría-práctica" (Extended classroom: bringing the university classroom closer to the school context in order to reduce the distance between theory and pr
Bibliographic record
Abstract
Se evalúa una experiencia de “Aula Extendida” en la que se posibilita que estudiantes de la materia Educación Física Escolar del Grado en Educación Primaria acudan a un colegio a observar prácticas de Educación Física con escolares impartidas por sus docentes universitarios, participando en los procesos de diseño, observación y análisis-reformulación del proceso de enseñanza. La experiencia es altamente valorada por las personas participantes que, entre otras cosas, reconocen que les ayuda a ver detalles sobre la labor docente, a dar sentido al contenido teórico de otras materias del Grado y a cambiar su visión sobre la Educación Física.Abstract: We analyzed an experience on “extended classroom”, through which students enrolled in the course of Physical Education from the bachelor in Primary Education were allowed to attend Physical Education practices with schoolchildren taught by their university professors, as well as to participate in the processes of design, observation, and analysis-reformulation of the teaching process. The experience was highly valued by the participants, who, among other things, recognized that it helped them notice details about the teaching work, give meaning to theoretical contents of other bachelor courses, and change their vision about Physical Education.
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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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.005 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.001 | 0.010 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".