El buceo profundo como punto de partida en un proceso de aprendizaje integral en ciencias
Bibliographic record
Abstract
El presente trabajo describe la elaboración de una estrategia de aula fundamentada en el “aprendizaje significativo‖, con el objeto de mejorar el aprendizaje de los conceptos involucrados en el estudio de materiales en estado gaseoso. La propuesta se fundó en un conjunto de ideas previas obtenidas en el colegio distrital La Estancia-San Isidro Labrador, ubicado en la localidad de Ciudad Bolívar de Bogotá D.C. Teniendo en cuenta lo anterior, se propone una unidad didáctica para el estudio de las propiedades de los gases, partiendo de la integración de los conceptos de presión, volumen, leyes de los gases e intercambio de gases en la respiración, desde los procesos biológicos, físicos y químicos, usando el buceo profundo como contexto real. La aplicación de un pre-test para analizar las ideas previas de los estudiantes reveló la necesidad de plantear una estrategia pedagógica dirigida al cambio conceptual efectivo, en este caso soportada en el aprendizaje significativo teniendo en cuenta la actividad deportiva del buceo, atractiva por el conjunto conceptos que involucra. / Abstract. This paper describes the development of a classroom-strategy based on “meaningful learning”, in order to improve the learning of concepts involved in the study of materials in gaseous state. The proposal was supported on a set of preconceived ideas obtained at the public school La Estancia-San Isidro Labrador, located at Ciudad Bolivar, Bogotá D.C. Taking into account the above-mentioned, a teaching unit for the study of properties of gases, starting from integrating that concepts of pressure, volume, gas laws and gas exchange into respiration was made, also linking the biological, physical and chemical processes by using the deep diving as an interesting real-life situation. Applying a pre-test to analyze the previous knowledge of students, the requirement of suggesting an effective conceptual change-focused pedagogical strategy was revealed. This strategy was founded on meaningful learning and built on the deep diving, a sport activity very attractive due to the several concepts involved
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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 | 0.006 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.007 | 0.017 |
| Scholarly communication | 0.017 | 0.008 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.008 | 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".