Clasificación de exoplanetasdesarrollo de una estrategia didáctica para abordar la construcción de modelos observacionales en Física Educativa

  1. Leandro Chinellato 1
  2. Santiago H. Luna 2
  3. María Sol Pera 3
  4. Gabriel I. Perren 4
  5. Rodrigo Menchón 3
  6. Mauro G. Spagnuolo 5
  7. Hugo D. Navone 3
  1. 1 Universidad Nacional de Rosario
    info

    Universidad Nacional de Rosario

    Rosario, Argentina

    ROR https://ror.org/02tphfq59

  2. 2 Instituto de Estudios Andinos “Don Pablo Groeber”; Universidad Nacional de Hurlingham
  3. 3 Universidad Nacional de Rosario; Instituto de Física de Rosario
  4. 4 Universidad Nacional de Rosario; Instituto de Astrofísica de La Plata
  5. 5 Instituto de Estudios Andinos “Don Pablo Groeber”
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Revista:
Latin-American Journal of Physics Education

ISSN: 1870-9095

Año de publicación: 2022

Volumen: 16

Número: 4

Tipo: Artículo

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Otras publicaciones en: Latin-American Journal of Physics Education

Resumen

In this work, we present an educational strategy whose main purpose is to present and explore the creation of observational models in the context of a degree in Physics and related fields. This proposal relies on project-based active learning strategies, assumes the distributed character of cognitive processes and incorporates some transversal aspects of social relevance. The topics that articulate this work's development are based on the use of data mining techniques with a wide range of applications, whose ubiquity makes them especially significant. The acquisition of knowledge from an exoplanet catalog is used as motivation, proposing the categorization of these objects through the development of algorithms based on automated learning techniques of both an unsupervised and supervised nature. In conclusion we find that the educational strategy is feasible, and accessible and flexible enough to be recreated in different educational settings, and that it contributes to promote the development of skills required in academic training processes and in the world of work.

Fuente de los datos: Dialnet