Proceedings of the 9th Mathematics, Science, and Computer Science Education International Seminar (MSCEIS 2023)

Computational Thinking Level of Student in Statistics Using Computational Thinking Scale

Authors
Harsa Wara Prabawa1, *, Rizky Rosjanuardi2, Elah Nurlaelah2
1Computer Science Education, Universitas Pendidikan Indonesia, Bandung, Indonesia
2Mathematics Education, Universitas Pendidikan Indonesia, Bandung, Indonesia
*Corresponding author. Email: harsawara@upi.edu
Corresponding Author
Harsa Wara Prabawa
Available Online 3 September 2024.
DOI
10.2991/978-2-38476-283-5_9How to use a DOI?
Keywords
Computational Thinking; Computational Thinking Scale (CTS); Confirmatory Factor Analysis (CFA)
Abstract

A review of the literature on Computational Thinking has revealed the importance of computational thinking (CT) as an effective approach in problem-solving, especially when associated with the presence of technology as a means to formulate problem solutions. Using the Computational Thinking Scale (CTS), the purpose of this study is to map the development of students’ CT as an impact of learning statistics. This research is descriptive. To determine the validity of the scale, a confirmatory factor analysis (CFA) calculation was conducted. As well as the power of difference, internal consistency, and the level of stability. The Computational Thinking Scale (CTS) was determined as a valid and reliable instrument to determine the CT ability of undergraduate students, based on the results of data processing. Students’ ability in CT is in the medium range, with “Problem Solving” and “Creativity” as the most dominant factors. In contrast, “Algorithmic Thinking” is a factor that needs more attention. This indicates that students should be exposed to more non-routine and non-procedural problem-solving case studies, to be more familiar with algorithmic patterns in problem-solving.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 9th Mathematics, Science, and Computer Science Education International Seminar (MSCEIS 2023)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
3 September 2024
ISBN
978-2-38476-283-5
ISSN
2352-5398
DOI
10.2991/978-2-38476-283-5_9How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Harsa Wara Prabawa
AU  - Rizky Rosjanuardi
AU  - Elah Nurlaelah
PY  - 2024
DA  - 2024/09/03
TI  - Computational Thinking Level of Student in Statistics Using Computational Thinking Scale
BT  - Proceedings of the  9th Mathematics, Science, and Computer Science Education International Seminar (MSCEIS 2023)
PB  - Atlantis Press
SP  - 82
EP  - 92
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-283-5_9
DO  - 10.2991/978-2-38476-283-5_9
ID  - Prabawa2024
ER  -