The Analyze Comparative of Physics Computational Thinking Skill (CTs) in Experiment Laboratory

Objective: This study aimed to analyze students' response to the use of computational thinking from the perspective of computational tools and to analyze the influence of gender on students' computational thinking skills. Method: Research design using a comparative approach with data coll...

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Main Authors: Suritno Fayanto, Sul Daeng Naba, Aris Kurniawan, Utami Putri, Veronika Dua Padang
Format: Article
Language:English
Published: Qubahan 2024-07-01
Series:Qubahan Academic Journal
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Online Access:https://journal.qubahan.com/index.php/qaj/article/view/699
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author Suritno Fayanto
Sul Daeng Naba
Aris Kurniawan
Utami Putri
Veronika Dua Padang
author_facet Suritno Fayanto
Sul Daeng Naba
Aris Kurniawan
Utami Putri
Veronika Dua Padang
author_sort Suritno Fayanto
collection DOAJ
description Objective: This study aimed to analyze students' response to the use of computational thinking from the perspective of computational tools and to analyze the influence of gender on students' computational thinking skills. Method: Research design using a comparative approach with data collection techniques involved a survey using a Likert scale questionnaire comprising 25 items, covering five dimensions of computational thinking skills: abstraction, decomposition, algorithm thinking, evaluation, and generalization. The study subjects involved five classes: physics, physics education, geography, mining engineering, and vocational-technical education, focusing on students' ability to analyze data using JASP and IBM SPSS. The data analyze methods included: (1). Comparative Analyze; (2). Correlation analyzes (Spearman); (3). Chi-square test. Finding: The results showed that the computational thinking skills of students from various classes varied, with significant correlations between the skill dimensions. Physics and Physics Education stood out with exemplary achievements, while Geography and Mining Engineering also showed good progress. The vocational-technical education program displayed nearly perfect correlations in all aspects of computational thinking skills. Meanwhile, from the gender aspect, gender significantly influenced computational thinking skills (Sig<0.00). The analyze highlighted the differences in computational thinking skills between classes and the significant influence of gender. Implication: This emphasized the importance of developing computational thinking skills in higher education and the need for inclusive approaches to enhance computational excellence among students. The implications of this study give valuable insights for improving the teaching of computational thinking in physics education. Steps that might be addressed include identifying and enhancing weak components, such as abstraction and generalization, and using particular tactics to increase students' knowledge.
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spelling doaj-art-c1cca7f4282640c985e08dcfcce40fa02025-02-03T10:11:51ZengQubahanQubahan Academic Journal2709-82062024-07-014310.48161/qaj.v4n3a699699The Analyze Comparative of Physics Computational Thinking Skill (CTs) in Experiment Laboratory Suritno Fayanto0Sul Daeng Naba1Aris Kurniawan2Utami Putri3Veronika Dua Padang4Department of Education Technology, State University of Malang, Malang, IndonesiaDepartment of Master in Physics Education, Yogyakarta State University, Yogyakarta, IndonesiaDepartment of Master in Physics Education, Yogyakarta State University, Yogyakarta, IndonesiaDepartment of Master in Physics Education, Yogyakarta State University, Yogyakarta, IndonesiaDepartment of Master in Physics Education, Yogyakarta State University, Yogyakarta, Indonesia Objective: This study aimed to analyze students' response to the use of computational thinking from the perspective of computational tools and to analyze the influence of gender on students' computational thinking skills. Method: Research design using a comparative approach with data collection techniques involved a survey using a Likert scale questionnaire comprising 25 items, covering five dimensions of computational thinking skills: abstraction, decomposition, algorithm thinking, evaluation, and generalization. The study subjects involved five classes: physics, physics education, geography, mining engineering, and vocational-technical education, focusing on students' ability to analyze data using JASP and IBM SPSS. The data analyze methods included: (1). Comparative Analyze; (2). Correlation analyzes (Spearman); (3). Chi-square test. Finding: The results showed that the computational thinking skills of students from various classes varied, with significant correlations between the skill dimensions. Physics and Physics Education stood out with exemplary achievements, while Geography and Mining Engineering also showed good progress. The vocational-technical education program displayed nearly perfect correlations in all aspects of computational thinking skills. Meanwhile, from the gender aspect, gender significantly influenced computational thinking skills (Sig<0.00). The analyze highlighted the differences in computational thinking skills between classes and the significant influence of gender. Implication: This emphasized the importance of developing computational thinking skills in higher education and the need for inclusive approaches to enhance computational excellence among students. The implications of this study give valuable insights for improving the teaching of computational thinking in physics education. Steps that might be addressed include identifying and enhancing weak components, such as abstraction and generalization, and using particular tactics to increase students' knowledge. https://journal.qubahan.com/index.php/qaj/article/view/699computational thinking, abstraction, decomposition, algorithm thinking, evaluation, & generalization, experiment
spellingShingle Suritno Fayanto
Sul Daeng Naba
Aris Kurniawan
Utami Putri
Veronika Dua Padang
The Analyze Comparative of Physics Computational Thinking Skill (CTs) in Experiment Laboratory
Qubahan Academic Journal
computational thinking, abstraction, decomposition, algorithm thinking, evaluation, & generalization, experiment
title The Analyze Comparative of Physics Computational Thinking Skill (CTs) in Experiment Laboratory
title_full The Analyze Comparative of Physics Computational Thinking Skill (CTs) in Experiment Laboratory
title_fullStr The Analyze Comparative of Physics Computational Thinking Skill (CTs) in Experiment Laboratory
title_full_unstemmed The Analyze Comparative of Physics Computational Thinking Skill (CTs) in Experiment Laboratory
title_short The Analyze Comparative of Physics Computational Thinking Skill (CTs) in Experiment Laboratory
title_sort analyze comparative of physics computational thinking skill cts in experiment laboratory
topic computational thinking, abstraction, decomposition, algorithm thinking, evaluation, & generalization, experiment
url https://journal.qubahan.com/index.php/qaj/article/view/699
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