Formación investigativa en estudiantes de pregrado mediante entornos de aprendizaje móvil con APPS
Bibliographic record
Abstract
Este estudio implementó un entorno de aprendizaje personalizado en contextos móviles, constituyéndose en un aporte en la formación investigativa a nivel de pregrado. El método es la investigación cualitativa de enfoque investigación-acción educativa. El propósito general apunta a mostrar como un entorno de aprendizaje móvil mediante Apps, contribuye a la formación investigativa de los estudiantes de pregrado adscritos a semilleros de investigación de la Fundación Universitaria de San Gil sede Yopal. Los resultados alcanzados en cuanto potencialidad educativa indican que esta es escasa en el grupo analizado. El entorno móvil aplicado mostró un mejoramiento en la interacción como condición para la creación de conocimiento y los componentes de la estrategia pedagógica esbozada son el diseño instruccional, los fundamentos educativos, la perspectiva de las actividades propuestas, los recursos didácticos y la secuencia de aprendizaje.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".