Abstract:

The process of evaluating and making sense of big data brings some skill levels to the forefront. Depending on this increasing need in the global world, generation Z needs to understand the functional structure and flow chart of the computational thinking processes correctly and transfer it to their learning. In gaining this competence, firstly, the students' current thinking skill levels should be determined. Within the framework of this requirement, it aimed to determine the students' computational thinking skills levels studying at the science high school. The study group of the study consists of 203 students studying in a science high school in Ankara. The data were collected using the Computer Thinking Skills Scale (CAPS), composed of 22 questions. When the research findings were examined, the students' computational thinking skills' average point value was found to be 77 out of 100. The value found shows that students' computational thinking skill level is high. Besides, statistical significance in the sub-dimensions of the scale, such as creativity, algorithmic thinking, collaborative, critical thinking, problem-solving, and computational thinking skill levels, gender, and grade level of students studying at science high schools was determined in this study. According to these results, it can be said that there is a significant difference according to gender in the critical thinking dimension. As a result, it is vital to understand the thinking skill processes that come to the forefront as learning goals and construct these processes correctly. The computational thinking skill, which is a thinking skill process, is also evaluated within this framework. The need for application-oriented studies that will contribute to this process's development is increasing day by day

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