Robótica DIYpensamiento computacional para mejorar la resolución de problemas

  1. Beatriz Ortega Ruipérez 1
  2. Mikel Asensio 2
  1. 1 Universidad Internacional de La Rioja
    info

    Universidad Internacional de La Rioja

    Logroño, España

    ROR https://ror.org/029gnnp81

  2. 2 Universidad Autónoma de Madrid
    info

    Universidad Autónoma de Madrid

    Madrid, España

    ROR https://ror.org/01cby8j38

Revista:
RELATEC: Revista Latinoamericana de Tecnología Educativa

ISSN: 1695-288X

Año de publicación: 2018

Volumen: 17

Número: 2

Páginas: 129-143

Tipo: Artículo

DOI: 10.17398/1695-288X.17.2.129 DIALNET GOOGLE SCHOLAR lock_openAcceso abierto editor

Otras publicaciones en: RELATEC: Revista Latinoamericana de Tecnología Educativa

Objetivos de desarrollo sostenible

Resumen

Programming is being included in educational curricula around the world to develop computational thinking. However, there is no consensus on what processes this thought implies, nor on how to intervene and evaluate its development. Therefore, the objective is to propose a teaching strategy for programming and robotics, which really develops this thinking and can be applied to solve problems, from a maker perspective that facilitates the transfer of knowledge to real contexts. To this end, a robotics course has been taught, insisting on the cognitive processes of this thinking that are commonly used in problem solving (abstraction, data processing, creation of an algorithm), and encouraging the use of a computational strategy, using the processes of this thought not employed in problem solving (decomposition of the problem, automation, parallelism, simulation). To measure it, digital tests have been created based on the multiple complex-systems approach, used in PISA 2012. The results indicate that computational thinking is applied more easily to the execution of the algorithm than to the representation of the problem. This finding allows us to establish a programming learning process that facilitates the development of computational thinking, to solve any problem by applying a computational strategy: focusing first on applying this strategy to the creation of the algorithm and then to the representation of the problem

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Fuente de los datos: Dialnet