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Miguel Ángel Martín Tardío

Biographic Data

ID6746072
NAMEMiguel Ángel Martín Tardío
GIVEN NAMESMiguel Ángel Martín
FAMILY NAMETardío
SIGNATURETARDÍO M Á M
AFFILIATIONSUniversidad de Extremadura
ORCID0000-0002-2575-6934
VERIFIEDYes
TOTAL WORKS2
TOTAL CITATIONS1
WORKS AS AUTHOR2
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2017
LATEST PUBLICATION YEAR2024
H-INDEX1
  • Analysis of Gender Issues in Computational Thinking Approach in Science and Mathematics Learning in Higher Education

    Open Access•Alejandro De la Hoz Serrano, Lina Viviana Melo Niño et al.•ARTICLE•European Journal of Investigation…•2024

    In the contemporary era, Computational Thinking has emerged as a crucial skill for individuals to possess in order to thrive in the 21st century. In this context, there is a need to develop a methodology for cultivating these skills within a science and mathematics content education framework, particularly among pre-service teachers. This study aimed to investigate the impact of Educational Robotics on the development of Computational Thinking sk…

  • A method of downscaling temperature maps based on analytical hillshading for use in species distribution modelling

    Ángel Manuel Felicísimo, Miguel Ángel Martín Tardío•ARTICLE•Cartography and Geographic…•2017•Cited by: 1

    Climate maps have been widely used for the construction of species distribution models. These maps derive from interpolation of data collected by meteorological stations. The sparse distribution of stations generates maps with coarse spatial resolution that are unable to detect microclimates or areas that can serve as plant or animal refuges. This work proposes a method for downscaling temperature maps using the solar radiation falling upon hills…

  • A method of downscaling temperature maps based on analytical hillshading for use in species distribution modelling

    Ángel Manuel Felicísimo, Miguel Ángel Martín Tardío•ARTICLE•Cartography and Geographic…•2017•Cited by: 1

    Climate maps have been widely used for the construction of species distribution models. These maps derive from interpolation of data collected by meteorological stations. The sparse distribution of stations generates maps with coarse spatial resolution that are unable to detect microclimates or areas that can serve as plant or animal refuges. This work proposes a method for downscaling temperature maps using the solar radiation falling upon hills…

  • A method of downscaling temperature maps based on analytical hillshading for use in species distribution modelling

    Ángel Manuel Felicísimo, Miguel Ángel Martín Tardío•ARTICLE•Cartography and Geographic…•2017•Cited by: 1

    Climate maps have been widely used for the construction of species distribution models. These maps derive from interpolation of data collected by meteorological stations. The sparse distribution of stations generates maps with coarse spatial resolution that are unable to detect microclimates or areas that can serve as plant or animal refuges. This work proposes a method for downscaling temperature maps using the solar radiation falling upon hills…

  • Analysis of Gender Issues in Computational Thinking Approach in Science and Mathematics Learning in Higher Education

    Open Access•Alejandro De la Hoz Serrano, Lina Viviana Melo Niño et al.•ARTICLE•European Journal of Investigation…•2024

    In the contemporary era, Computational Thinking has emerged as a crucial skill for individuals to possess in order to thrive in the 21st century. In this context, there is a need to develop a methodology for cultivating these skills within a science and mathematics content education framework, particularly among pre-service teachers. This study aimed to investigate the impact of Educational Robotics on the development of Computational Thinking sk…

Biology (1 work) · Cartography (1 work) · Climate variability and models (1 work) · Computational Thinking (1 work) · Computer Science (1 work) · Digital elevation model (1 work) · Downscaling (1 work) · Ecology and Vegetation Dynamics Studies (1 work) · Elevation (ballistics (1 work) · Environmental Science (1 work)

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