Robótica educativa para o desenvolvimento do pensamento computacional: um estudo numa escola rural da Colômbia

The purpose of this study is to examine the progress of computational thinking skills using educational robotics through teaching-learning activities in students in a rural area of Colombia. The intervention involved 19 children in the third, fourth, and fifth grade of primary school, aged between 7 and 12 years, with a single group of students, building and programming robots with the Lego Education WeDo 2.0 robotics kit under the active learning approach “Learning by doing”. An instrument was applied before and after the implementation of a workshop to collect data on the skills observed in the students, using a non-probabilistic sampling, by convenience. To determine the progress of the students, a Wilcoxon signed-rank test for paired samples, a non-parametric test, was performed, which revealed a significant improvement in the computational thinking skills of the rural school students, especially pattern recognition, decomposition and generalization. In the case of data analysis, and algorithmic thinking, slower progress was evidenced, taking into account the degree of difficulty in appropriating totally new concepts that require more time of pedagogical mediation to achieve optimal results in the process, also taking into consideration that the children had no previous experience in computer programming and robotics.

Publication Details

Journal
Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT)
Published
2025-07-25
Primary Topic
Teaching and Learning Programming
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Robótica educativa para o desenvolvimento do pensamento computacional: um estudo numa escola rural da Colômbia

Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT)
Teaching and Learning Programming
article

Robótica educativa para o desenvolvimento do pensamento computacional: um estudo numa escola rural da Colômbia

article en

Abstract

The purpose of this study is to examine the progress of computational thinking skills using educational robotics through teaching-learning activities in students in a rural area of Colombia. The intervention involved 19 children in the third, fourth, and fifth grade of primary school, aged between 7 and 12 years, with a single group of students, building and programming robots with the Lego Education WeDo 2.0 robotics kit under the active learning approach “Learning by doing”. An instrument was applied before and after the implementation of a workshop to collect data on the skills observed in the students, using a non-probabilistic sampling, by convenience. To determine the progress of the students, a Wilcoxon signed-rank test for paired samples, a non-parametric test, was performed, which revealed a significant improvement in the computational thinking skills of the rural school students, especially pattern recognition, decomposition and generalization. In the case of data analysis, and algorithmic thinking, slower progress was evidenced, taking into account the degree of difficulty in appropriating totally new concepts that require more time of pedagogical mediation to achieve optimal results in the process, also taking into consideration that the children had no previous experience in computer programming and robotics.

Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT)
Quality Education
Openalex Percentile: Top 42%
Teaching and Learning Programming
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.