Keywords
Computational thinking skills; computer programming subject; vocational high school; data theorization; grounded theory
Document Type
Article
Abstract
The purpose of the study is to compile concepts related to computational thinking skills in the context of computer programming subject. The research design used is data theorization (grounded theory) with open coding and axial coding data analysis techniques. Three types of data collection protocols are used: interview protocols, observation protocols, and recording protocols. The characteristics informants used are students who have experience learning computer programming in the vocational high school. The research produced several concepts, namely the problem concept, which then gave rise to the computational thinking skills concept. The problem concept consists of three sub-concepts: the common problem sub-concept, the medium problem sub-concept, and the high problem sub-concept. The concept of computational thinking skills is a set of skills required in the problem-solving process in computer programming. Computational thinking is not just a thought process but an expression of skills that others can observe. In the computer programming subject context, two concepts influence the process of mastering computational thinking skills: the guidance strategies concept and the information sources concept. The concept of success becomes a mediator in developing computational thinking skills. The theory produced in this study can be used as a basis for conducting research with quantitative designs related to deductive proof of the theory.
First Page
64
Last Page
75
Page Range
12
Issue
ISSN 2580-6424 (printed) | ISSN 2477-2399 (online)
Volume
Vol 9, No 1(2024)
Digital Object Identifier (DOI)
10.21831/elinvo.v9i1.64501
DOI Link
http://dx.doi.org/10.21831/elinvo.v9i1.64501
Recommended Citation
A. D. Herlambang and A. Rachmadi, "Computational Thinking Skills Theorization in The Vocational High School Computer Programming Subject Context,", vol. Vol 9, No 1(2024), no. ISSN 2580-6424 (printed) | ISSN 2477-2399 (online), pp. 64 - 75, May 2024.
The definitive version is available at https://doi.org/10.21831/elinvo.v9i1.64501
References
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