Computational Thinking Skills Level of Student in Statistics using Computational Thinking Scale Harsa Wara Prabawa- Rizky Rosjanuardi- Elah Nurlaelah
Universitas Pendidikan Indonesia
Abstract
A review of the literature on Computational Thinking has revealed the importance of computational thinking (CT) as an effective approach to problem-solving, especially when associated with the presence of technology as a means to formulate solutions to problems. Using the Computational Thinking Scale (CTS), the purpose of this study is to map the development of students^ computational thinking ability. This research is descriptive in nature. To determine the validity of the scale, a confirmatory factor analysis calculation was conducted. Similarly, the power of differentiation, internal consistency, and the level of stability. The Computational Thinking Scale (CTS) was determined as a valid and reliable instrument to determine the computational thinking ability of undergraduate students, based on the results of data processing. Students^ ability to think computationally was in the medium range, with ^Problem-solving^ and ^Creativity^ as the most dominant factors. In contrast, ^Algorithmic Thinking^ was the factor that was felt to need more attention. This indicates that students should be exposed to more non-routine and non-procedural problem-solving case studies, in order to become more familiar with algorithmic patterns in problem-solving
