O ensino do pensamento computacional em séries finais do ensino fundamental: uma proposta embasada na neurociências

Authors

  • Douglas Furtado Felix Programa de Pós-Graduação em Modelagem Computacional da Universidade Federal do Rio Grande (PPGMC/FURG)
  • Cleo Zanella Billa Centro de Ciências Computacionais da Universidade Federal do Rio Grande (C3/FURG)
  • Diana Francisca Adamatti Centro de Ciências Computacionais Universidade Federal do Rio Grande

DOI:

https://doi.org/10.5335/rbca.v11i1.9084

Keywords:

Education, Learning, Neurosciences, Technology

Abstract

It is of relevance to research about computational thinking and its possible physiological changes in the brains of elementary school students. This paper presents a part of the data collected from a research that aims to identify areas of the brain that are activated before and after a course of learning of computational logic through an educational background tool with interactive structure, called Scratch, with target audience in primary school children. For this, the BCI (Brain Computer Interface) system is used, an interface between the brain and the computer, through which processes and mental states are mapped. In addition, the ActiCHamp tool, an active channel amplifier with auxiliary channels used for a full range of Biosynthetic sensors, will be used. OpenVibe will also be used to design, test and use BCI systems to collect pre and post learning data. The theoretical basis is based on researches of the neurosciences, education, learning and technology. The study was carried out in a group of primary school students, and it was possible to conclude that computational thinking causes physiological changes in the brains of students in the final grades of elementary school in a public school, with the purpose of improving problem solving.

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Published

2019-04-15

Issue

Section

Artigos selecionados em Conferências - VIII MCSul (2018)

How to Cite

[1]
2019. O ensino do pensamento computacional em séries finais do ensino fundamental: uma proposta embasada na neurociências. Brazilian Journal of Applied Computing. 11, 1 (Apr. 2019), 88–95. DOI:https://doi.org/10.5335/rbca.v11i1.9084.