Modelo de calidad educativa de programas virtuales: Caso de la Universidad de San Martín de Porres
Bibliographic record
Abstract
El presente describe un modelo de calidad de programas de educación virtual de la Universidad de San Martín de Porres, Perú. El modelo educativo virtual se soporta en cuatro pilares de calidad, constituidos por: calidad de formación, calidad de servicio, calidad de sistema y calidad de información. Desde el plano metodológico, se planteó una investigación de orden descriptivo y proyectivo, que detalla componentes como infraestructura tecnológica, materiales digitales, conocimientos tecnológicos de los usuarios, integración de las Tecnologías de Información y Comunicación. Se concibe un aula virtual con cinco componentes: Informativa, formativa, experiencial, comunicativa e investigativa que cumplen con el aprendizaje significativo en entornos virtuales de aprendizaje. Se concluye que los elementos del modelo utilizado como referencia y basado en una mejora continua, se adaptaron perfectamente a los entornos virtuales de la Universidad de San Martín de Porres.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 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".