EDUCON 2021_Promoting Computational Thinking through Visual Block Programming Tools

1. Promoting Computational Thinking
through Visual Block Programming
Tools
Authors:
PEDRO PLAZA, MANUEL CASTRO, JOSE MANUEL SÁEZ-LÓPEZ, ELIO
SANCRISTOBAL, ROSARIO GIL, ANTONIO MENACHO, FÉLIX GARCÍA-LORO,
BLANCA QUINTANA, SERGIO MARTÍN, MANUEL BLÁZQUEZ, ALEJANDRO
MACHO, PABLO BAIZÁN, FRANCISCO MUR, GERMÁN CARRO, CLARA PÉREZ,
RAMÓN CARRASCO, ÁFRICA LÓPEZ-REY, MIGUEL RODRIGUEZ-ARTACHO and
JOSE A. RUIPÉREZ-VALIENTE
APRIL 2021

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Promoting Computational Thinking
through Visual Block Programming Tools
Computational Thinking
Formulating problems
Organizing
information
Representing
information
Automate solutions
Identify, analyze, and
implement solutions
Generalize and
transfer this problem-
solving process

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Digital Twin with Arduino and mBlock
Scratch as the first contact with educational robotics
Scratch Day 2020 Faculty
Scratch Day 2020 Projects
Machine Learning with visual block programming language
Introduction to micro:bit
Promoting Computational Thinking
through Visual Block Programming
Tools
Series of sessions

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Digital Twin with Arduino and
mBlock
3
Promoting Computational Thinking
through Visual Block Programming
Tools

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4
Promoting Computational Thinking
through Visual Block Programming Tools
Scratch as the first contact with
educational robotics

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5
Promoting Computational Thinking
through Visual Block Programming Tools
Scratch Day
2020 Faculty Scratch Day 2020
Projects

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6
Promoting Computational Thinking
through Visual Block Programming Tools
Machine Learning with visual block
programming language

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7
Promoting Computational Thinking
through Visual Block Programming Tools
Introduction to micro:bit

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8
Promoting Computational Thinking
through Visual Block Programming Tools
OUTCOMES

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Tools suitable to work with
Computational Thinking.
Promoting Computational Thinking
through Visual Block Programming Tools
CONCLUSIONS (I)

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CONCLUSIONS (II)
Promoting Computational Thinking
through Visual Block Programming Tools

12. ACKNOWLEDGMENT:
The authors acknowledge the support provided by the UNED Industrial School of Engineering,
the project 2021-IEQ13, the project "Techno-Museum: Discovering the ICTs for Humanity" (IEEE
Foundation Grant #2011-118LMF).
This work has been co-funded by the Madrid Regional Government, through the project e-
Madrid-CM (P2018/TCS-4307). The e-Madrid-CM project is also co-financed by the Structural
Funds (FSE and FEDER) as well as to the Teaching Innovation Group of the UNED GID2016-17,
G-TAEI.
Thanks for the special support of I4EU project - Key Competences for an European Model of
Industry 4.0, Erasmus+ Strategic Partnership nº 2019-1-FR01-KA202-06296.