Article Gold Open Access 2024

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

Qubahan Academic Journal
Journal · Vol. 4 · Issue 3 · pp. 14-33
Abstract

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. © 2024, Qubahan. All rights reserved.

Keywords

Author Keywords

Computational thinking abstraction algorithm thinking decomposition evaluation, & generalization experiment

Index Keywords

Author Affiliations
Department of Educational Technology, Universitas Negeri Malang, Malang, East Java, Indonesia, Department of Physical Education, Universitas Halu Oleo, Kendari, Southeast Sulawesi, Indonesia
Master Program of Physics Education, Universitas Negeri Yogyakarta, Yogyakarta, Yogyakarta, Indonesia
Funding & Acknowledgements
No funding information
References 10 References
1 Nouri, Jalal, Development of computational thinking, digital competence and 21st century skills when learning programming in K-9, Education Inquiry, 11, 1, pp. 1-17, (2020)
2 Yadav, Aman, Computational thinking in elementary and secondary teacher education, ACM Transactions on Computing Education, 14, 1, (2014)
3 Grover, Shuchi, Computational Thinking in K-12: A Review of the State of the Field, Educational Researcher, 42, 1, pp. 38-43, (2013)
4 Int J Eng Res, (2017)
5 Odden, Tor Ole B., Physics computational literacy: An exploratory case study using computational essays, Physical Review Physics Education Research, 15, 2, (2019)
6 Handayani, Rif'Ati Dina, Bringing Computational Thinking Skills Into Physics Classroom Through Project-Based Learning, Proceedings - International Conference on Education and Technology, ICET, 2022-October, pp. 76-80, (2022)
7 Bufasi, Ergi, Developing Student’s Comprehensive Knowledge of Physics Concepts by Using Computational Thinking Activities: Effects of a 6-Week Intervention, International Journal of Emerging Technologies in Learning, 17, 18, pp. 161-176, (2022)
8 Anderson, Nicole D., A Call for Computational Thinking in Undergraduate Psychology, Psychology Learning and Teaching, 15, 3, pp. 226-234, (2016)
9 Kumar, Indrajeet Narender, Ways of using computational thinking to improve students' ability to think critically, Infrastructure Possibilities and Human-Centered Approaches With Industry 5.0, pp. 253-266, (2024)
10 Saidin, Noor Desiro, Benefits and challenges of applying computational thinking in education, International Journal of Information and Education Technology, 11, 5, pp. 248-254, (2021)
Quick Actions
Full Text via DOI
Citation Metrics
3
Times Cited (Scopus)

References 10
Document Identifiers