Laboratorio Virtual de Química Soportado en un Dispositivo Electrónico de Interacción
Bibliographic record
Abstract
La influencia de los cambios tecnológicos se puede palpar en todos los aspectos que conciernen a la sociedad, entre ellos la educación, ya que a medida que surgen nuevos desarrollos científicos éstos tienen gran acogida en las herramientas didácticas pues permiten enriquecer el proceso educativo. En este artículo se muestra el desarrollo de una herramienta hardware-software que impactará en la estrategias de enseñanza del área de química, ayudando a desarrollar habilidades y actitudes en los estudiantes, reforzando el proceso de autoformación, manejo de tiempos, autoevaluación, entre otros. Este instrumento se basa en las bondades de la realidad virtual, pues se presenta un laboratorio de química virtual al cual se accede por medio de un guante que adicionalmente permite interactuar con el laboratorio y sus elementos. La propuesta de este desarrollo se realiza al interior del grupo de investigación Metis perteneciente a la Facultad Tecnológica de la Universidad Distrital Francisco José de Caldas, en Bogotá, Colombia.
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.009 | 0.004 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.020 | 0.003 |
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".