En torno al tema de la calidad en educación. Realidad y leyes.

El término “calidad” es impreciso, puede utilizarse para fines distintos y hasta opuestos. Una buena educación depende de sus precedentes en cada caso, también del conocimiento, interés y compromiso puestos en su consecución. Lo legislado últimamente sobre educación no favorece la generalización del estado de bienestar, porque no garantiza una buena educación

Criterios para valorar materiales curriculares: una propuesta de elaboración referida al rendimiento escolar.

Sin resume

Problemas de terminología en estudios realizados acerca de "lo que el alumno sabe" sobre ciencias

In this paper we have carried out a bibliographic review of the terms currently used by science education researchers to describe «pupils' knowledge» of Science. Further, we have analised their meanings from the perspective of the methodological framework used and have offered our own proposal, as a result of that review, so as to reach a consensus on both the terminology and the possible range of meanings to bt: used. It must be pointed out that we have excluded those studies which discuss "pupils' knowledge" from a purely psychological perspective because of the enormous amount of bibliography on this topic

La Pedagogía Hospitalaria.

Sin resume

Desafíos de la modernización de la justicia en tiempos del Gobierno Abierto

In the modernization of public administrations, we are witnessing a phase of changes in an Open Government context. In any process of judiciary modernization, context is of great importance. The modernization of justice today requires major changes. This also implicates important challenges in the pursuit of judicial efficiency. Based on recent research on justice and ict´s, we find it necessary to talk about the modernization of administrations and the adoption of ict´s. In addition to this, we also discuss judicial efficiency. Furthermore, we take a step ahead to properly approach the modernization of the administration of justice to address challenges such as training, Big Data and the electronic judicial process, and finally the re-design, opening and innovation in the justice system.En la modernización de administraciones públicas, asistimos a una etapa de cambios en un contexto de Gobierno Abierto. En la modernización de la justicia, el contexto también importa. Modernizar la justicia hoy requiere cambios importantes, pero también ello implica importantes retos en la búsqueda de la eficiencia judicial. Con base en recientes investigaciones sobre justicia y TIC, en este artículo hablamos en primer lugar de la modernización de las administraciones y la adopción TIC, pasando a continuación a hablar de la eficiencia judicial. Después abordamos propiamente la modernización de la administración de justicia, presentando retos como la capacitación, el Big Data y el proceso judicial electrónico y, finalmente, el re-diseño, apertura e Innovación en la Justicia

Application of a Neural Network classifier for the generation of clean Small Magellanic Cloud stellar samples

Context. Previous attempts to separate Small Magellanic Cloud (SMC) stars from the Milky Way (MW) foreground stars are based only on the proper motions of the stars. Aims. In this paper we develop a statistical classification technique to effectively separate the SMC stars from the MW stars using a wider set of Gaia data. We aim to reduce the possible contamination from MW stars compared to previous strategies. Methods. The new strategy is based on neural network classifier, applied to the bulk of the Gaia DR3 data. We produce three samples of stars flagged as SMC members, with varying levels of completeness and purity, obtained by application of this classifier. Using different test samples we validate these classification results and we compare them with the results of the selection technique employed in the Gaia Collaboration papers, which was based solely on the proper motions. Results. The contamination of MW in each of the three SMC samples is estimated to be in the 10-40%; the "best case" in this range is obtained for bright stars (G > 16), which belong to the Vlos sub-samples, and the "worst case" for the full SMC sample determined by using very stringent criteria based on StarHorse distances. A further check based on the comparison with a nearby area with uniform sky density indicates that the global contamination in our samples is probably close to the low end of the range, around 10%. Conclusions. We provide three selections of SMC star samples with different degrees of purity and completeness, for which we estimate a low contamination level and have successfully validated using SMC RR Lyrae, SMC Cepheids and SMC/MW StarHorse samples.Comment: arXiv admin note: substantial text overlap with arXiv:2210.0172