State of The Art Review: Building Computational Thinking on Science Education

Industrial Revolution 4.0 requires individuals to have the ability in the field of technology and use it to solve existing problems. Computational Thinking (CT) is one of the skills needed in dealing with technological developments through a problem-solving process. Many research developments in the...

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Main Authors: Y. I. Tanjung, M. Azhar, A. Razak, Y. Yohandri, F. Arsih, T. Wulandari, B. Nasution, R. H. Lubis
Format: Article
Language:English
Published: Universitas Negeri Semarang 2023-06-01
Series:Jurnal Pendidikan Fisika Indonesia
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Online Access:https://journal.unnes.ac.id/nju/JPFI/article/view/41745
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author Y. I. Tanjung
M. Azhar
A. Razak
Y. Yohandri
F. Arsih
T. Wulandari
B. Nasution
R. H. Lubis
author_facet Y. I. Tanjung
M. Azhar
A. Razak
Y. Yohandri
F. Arsih
T. Wulandari
B. Nasution
R. H. Lubis
author_sort Y. I. Tanjung
collection DOAJ
description Industrial Revolution 4.0 requires individuals to have the ability in the field of technology and use it to solve existing problems. Computational Thinking (CT) is one of the skills needed in dealing with technological developments through a problem-solving process. Many research developments in the field of CT have been carried out, but the theoretical studies presented are still limited to the ability in solving problems using a computer. Whereas in its development, CT theory must be adapted to the scope and purpose of building it. Based on that, new research is needed which aims to test and analyze the truth of these findings and examine the stages of building appropriate CT for science students with state-of-the-art review method. By taking a specific scope that has not been studied by many researchers, namely science education, it is found that CT is the ability in dividing a problem into sub-steps, carry out deeper investigations, analyze and criticize and test the truth of something so that the right solution is obtained. This definition is more specific than the definition of CT in theory because it is adapted to the characteristics of science. Whereas from a state-of-the-art review of the stages of building CT, it was found that the stages of task decomposition, abstraction, generalization, data structures and algorithms were considered to optimalize the CT construction for science students. It is because students could identify tasks or problems and divide the problem into small parts at the task decomposition stage. Therefore, they can be completed one by one.
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institution OA Journals
issn 1693-1246
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language English
publishDate 2023-06-01
publisher Universitas Negeri Semarang
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series Jurnal Pendidikan Fisika Indonesia
spelling doaj-art-9276341b2d8e45768f3ade12f9c52ba32025-08-20T01:58:19ZengUniversitas Negeri SemarangJurnal Pendidikan Fisika Indonesia1693-12462355-38122023-06-01191657510.15294/jpfi.v19i1.4174513958State of The Art Review: Building Computational Thinking on Science EducationY. I. Tanjung0M. Azhar1A. Razak2Y. Yohandri3F. Arsih4T. Wulandari5B. Nasution6R. H. Lubis7Universitas Negeri Medan, IndonesiaUniversitas Negeri Padang, IndonesiaUniversitas Negeri Padang, IndonesiaUniversitas Negeri Padang, IndonesiaUniversitas Negeri Padang, IndonesiaUniversitas Muhammadiyah Muara Bungo, IndonesiaUniversitas Negeri Medan, IndonesiaUniversitas Negeri Medan, IndonesiaIndustrial Revolution 4.0 requires individuals to have the ability in the field of technology and use it to solve existing problems. Computational Thinking (CT) is one of the skills needed in dealing with technological developments through a problem-solving process. Many research developments in the field of CT have been carried out, but the theoretical studies presented are still limited to the ability in solving problems using a computer. Whereas in its development, CT theory must be adapted to the scope and purpose of building it. Based on that, new research is needed which aims to test and analyze the truth of these findings and examine the stages of building appropriate CT for science students with state-of-the-art review method. By taking a specific scope that has not been studied by many researchers, namely science education, it is found that CT is the ability in dividing a problem into sub-steps, carry out deeper investigations, analyze and criticize and test the truth of something so that the right solution is obtained. This definition is more specific than the definition of CT in theory because it is adapted to the characteristics of science. Whereas from a state-of-the-art review of the stages of building CT, it was found that the stages of task decomposition, abstraction, generalization, data structures and algorithms were considered to optimalize the CT construction for science students. It is because students could identify tasks or problems and divide the problem into small parts at the task decomposition stage. Therefore, they can be completed one by one.https://journal.unnes.ac.id/nju/JPFI/article/view/41745computation thinkingscience educationstate of the art review
spellingShingle Y. I. Tanjung
M. Azhar
A. Razak
Y. Yohandri
F. Arsih
T. Wulandari
B. Nasution
R. H. Lubis
State of The Art Review: Building Computational Thinking on Science Education
Jurnal Pendidikan Fisika Indonesia
computation thinking
science education
state of the art review
title State of The Art Review: Building Computational Thinking on Science Education
title_full State of The Art Review: Building Computational Thinking on Science Education
title_fullStr State of The Art Review: Building Computational Thinking on Science Education
title_full_unstemmed State of The Art Review: Building Computational Thinking on Science Education
title_short State of The Art Review: Building Computational Thinking on Science Education
title_sort state of the art review building computational thinking on science education
topic computation thinking
science education
state of the art review
url https://journal.unnes.ac.id/nju/JPFI/article/view/41745
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