Competencia mediática de jóvenes universitarios de Ecuador y Colombia
Bibliographic record
Abstract
El presente estudio muestra resultados de dos países latinoamericanos: Ecuador y Colombia. El objetivo general es conocer el tratamiento que asumen los jóvenes frente a la tecnología digital y los niveles de competencia mediática. Como objetivos específicos se plantea: definir los indicadores de referencia para medir el grado de competencia mediática en los jóvenes universitarios; evaluar de manera exploratoria los niveles y el grado de competencia mediática en las muestras seleccionadas de los dos países. La metodología utilizada para evaluar el grado de competencia mediática de los jóvenes de Ecuador y Colombia es la práctica de una aproximación exploratoria de corte descriptivo. Entre los hallazgos se evidencia la utilización de navegación a internet para habilidades más técnicas y operativas que valorativas al nivel de la competencia mediática. Se detecta la necesidad de establecer procesos de alfabetización mediática sistémicos y continuos. El análisis de estos datos podría ser considerado como base para el establecimiento de políticas públicas en educación mediática. Esta temática en estos países es incipiente y se agota en líneas generalistas propuestas en documentos públicos, concerniente a los planes de educación e iniciativas particulares que en la actualidad se muestran desarticuladas. Media Competences of Young University Students from Ecuador and Colombia The present study shows results from two Latin American countries: Ecuador and Colombia. The general objective is to find out how young people get by in the face of digital technology and levels of media competence. The specific objectives are to define the reference indicators to measure the degree of media competence of university students, and to evaluate, in an exploratory way, the levels and the degree of media competence in selected samples from the two countries. The methodology used to evaluate the degree of media competence of young people in Ecuador and Colombia is to carry out an exploratory approach of a descriptive nature. Among the findings it is worth noting the use of Internet browsing for more technical and operational skills than valuations at the level of media competence. The need to establish systematic and continuous media literacy processes is identified. The analysis of these data could be considered a basis for the establishment of public policies in media education. This issue in these countries is emerging and it is exhausted in general lines as proposed in public documents, concerning the education plans and particular initiatives that are currently fragmented. Palabras clave: competencias mediáticas, estrategia educomunicativa, estudiantes universitarios, contextos múltiples, alfabetización digital Key words: media competences, educommunicative strategy, university students, multiple contexts, digital literacy.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| 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".