Powered by OpenAIRE graph
Found an issue? Give us feedback
ZENODOarrow_drop_down
ZENODO
Thesis . 2024
License: CC BY
Data sources: Datacite
ZENODO
Thesis . 2024
License: CC BY
Data sources: Datacite
versions View all 2 versions
addClaim

COMPUTATIONAL THINKING IN BASIC EDUCATION: A Teaching Methodology for Early Years of Elementary Education

Authors: da Silva, Andreia Rita; Silva, Alexandre do Nascimento;

COMPUTATIONAL THINKING IN BASIC EDUCATION: A Teaching Methodology for Early Years of Elementary Education

Abstract

Computational Thinking has emerged as an essential skill in Basic Education to address thechallenges of the 21st century, fostering abilities such as logical thinking, critical reasoning,and problem-solving. Its implementation in early grades prepares students for an increasinglytechnological job market, as highlighted by the World Economic Forum and the BrazilianComputing Society (SBC), which emphasize its importance beyond programming. This studyproposes a methodology for teaching Computational Thinking in the early years of ElementaryEducation, integrating Problem-Based Learning (PBL) and the use of Game Design Document(GDD) as pedagogical tools. The research is based on a systematic literature review, analysis ofofficial documents such as the BNCC and Resolutions CNE/CP 02/2017 and CNE/CP 04/2018,as well as theoretical foundations like Piaget’s Genetic Epistemology and neuroscientific evidenceon learning. Additionally, the author’s empirical experience contributed to the developmentof the proposed methodology. It is expected that the proposed methodology will support theteaching of Computational Thinking in public and private schools, fostering the developmentof essential skills for the comprehensive education of students.

Keywords

Computational Thinking. Neuroscience. Basic Education. Problem-Based Learning (PBL). Game Design Document (GDD)

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Upload OA version
Are you the author of this publication? Upload your Open Access version to Zenodo!
It’s fast and easy, just two clicks!