Aprendizaje de la informática y la tecnología integrando guías y talleres didácticos interactivos - recursos educativos basados en el juego y las cotidianidades.
Bibliographic record
Abstract
Con las necesidades de la asignatura tecnología e informática (TI), es necesario tener el enlace entre lo que falta y tiene la institución, por lo tanto se crea una herramienta pedagógica y didáctica con base en el juego, vivencias y cotidianidades del estudiante en TI, teniendo dos competentes: el primero es relacionar y organizar los contenidos generales, temas, competencias y estándares del Ministerio de Educción Nacional de Colombia (MEN), y actividades del nivel escolar para el año académico; y el segundo conocer los intereses y contexto en que se desenvuelve el estudiante (López, 2001), para valorar posteriormente sus progresos y ritmos de aprendizaje cualitativamente. Con 20 Guías interactivas (GI) para informática en los programas de office (Word, Excel y PowerPoint), MecaNet (mecanografía) y diseño en 2D y 12 Talleres Interactivos de Construcción de Proyectos (TICP) para tecnología con el uso de materiales reciclables, caseros y baratos, se compone el material bibliográfico.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.010 | 0.007 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.016 | 0.005 |
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".