This study aims to determine the predictive role of cognition in computational thinking. In this context, the research has two problem situations. The first one is the development of a computational thinking scale for prospective teachers. The second is to determine the predictive role of metacognition in computational thinking with this scale. In Study-1, the computational thinking scale was developed with (N= 365) participants. In Study-2 (N=306), the role of metacognition in computational thinking was explained with structural equation modeling. These findings show that, the computational thinking scale consisting of 28 items in Study-1 explained 48% of the total variance with a single factor structure and the internal consistency coefficient was found to be .985. In Study-2, the role of metacognition in computational thinking was tested with structural equation modeling. Accordingly, the planning, debugging and procedural knowledge sub-dimensions of metacognition explained 47% of the variance of computational thinking.
computational thinking metacognition higher-order thinking skills structural equation model
Birincil Dil | İngilizce |
---|---|
Konular | Eğitimde Program Geliştirme |
Bölüm | Thinking Skills |
Yazarlar | |
Erken Görünüm Tarihi | 2 Ekim 2023 |
Yayımlanma Tarihi | 2 Ekim 2023 |
Yayımlandığı Sayı | Yıl 2023 Cilt: 11 Sayı: 3 - September 2023 |
By introducing the concept of the "Gifted Young Scientist," JEGYS has initiated a new research trend at the intersection of science-field education and gifted education.