Implications of Computational Thinking in the Initial Training of Future Primary and Pre-School Teachers

In an increasingly digitised society, the development of computational thinking has become essential for everyone. Computational thinking is defined as a process of breaking down a problem into steps that are simple enough to understand, identifying solutions that can lead to automation. New generations should have the opportunity to develop this skill from early childhood, so future teachers need to develop the skills to create innovative learning contexts. This study explores the need for initial training of students majoring in elementary and early childhood education to create learning contexts that facilitate the development of students' computational thinking. Both quantitative and qualitative data collection methods were used to identify future teachers' perceptions of the need for initial student training to build the skills required to design learning settings that aid the advancement of computational thinking in toddlers and students. In terms of qualitative methods, the focus group method was used, discussing with students based on the questions How would you describe the concept of computational thinking? Can computational thinking be included in the teaching process? What types of activities could be carried out? As quantitative methods of data collection, a questionnaire survey was used, applying a questionnaire consisting of 24 items. The results showed that the introduction of a course based on computational thinking can significantly influence the way future teachers teach.

Authors

Publication Details

Journal
Educatia 21
Published
2024-11-29
DOI
https://doi.org/10.24193/ed21.2024.28.21
Citations
1
Primary Topic
Teaching and Learning Programming
Type
article
Field-Weighted Citation Impact
0.41
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Implications of Computational Thinking in the Initial Training of Future Primary and Pre-School Teachers

Horațiu Catalano, Ana Martínez Rus, Gabriela Mestic, Anca Ani-Rus et al.
1 citations
Educatia 21
Teaching and Learning Programming
0.41
article

Implications of Computational Thinking in the Initial Training of Future Primary and Pre-School Teachers

Horațiu Catalano, Ana Martínez Rus, Gabriela Mestic, Anca Ani-Rus, Andreea-Ionela Dohotaru
article en
1 citations

Abstract

In an increasingly digitised society, the development of computational thinking has become essential for everyone. Computational thinking is defined as a process of breaking down a problem into steps that are simple enough to understand, identifying solutions that can lead to automation. New generations should have the opportunity to develop this skill from early childhood, so future teachers need to develop the skills to create innovative learning contexts. This study explores the need for initial training of students majoring in elementary and early childhood education to create learning contexts that facilitate the development of students' computational thinking. Both quantitative and qualitative data collection methods were used to identify future teachers' perceptions of the need for initial student training to build the skills required to design learning settings that aid the advancement of computational thinking in toddlers and students. In terms of qualitative methods, the focus group method was used, discussing with students based on the questions How would you describe the concept of computational thinking? Can computational thinking be included in the teaching process? What types of activities could be carried out? As quantitative methods of data collection, a questionnaire survey was used, applying a questionnaire consisting of 24 items. The results showed that the introduction of a course based on computational thinking can significantly influence the way future teachers teach.

Educatia 21(28)
Quality Education
Openalex Percentile: Top 24%
Teaching and Learning Programming
0.41
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.