Informatics in Education

This study aims to explain the relationships between secondary school students' digital literacy, computer programming self-efficacy and computational thinking self-efficacy. The study group consists of 204 secondary school students. A relational survey model was used in the research method and three different data collection tools were used to collect data. The structural equation model was used in data analysis to reveal a model that explains and predicts the relationships between variables. According to the results of the research, it was determined that digital literacy of secondary school students affected their computer programming self-efficacy, digital literacy affected their computational thinking self-efficacy, and computer programming self-efficacy affected their computational thinking self-efficacy. It was also found that digital literacy skills have an indirect effect on secondary students' computational thinking self-efficacy on computational thinking self-efficacy.

The aim of this study is to develop a self-efficacy measuring tool that can predict the computational thinking skill that is seen as one of the 21st century's skills. According to literature review, an item pool was established and expert opinion was consulted for the created item pool. The study group of this study consists of 319 students educated at the level of secondary school. As a result of the exploratory factor analysis, the scale consisted of 18 items under four factors. The factors are Reasoning, Abstraction, Decomposition and Generalization. As a result of applied reliability analysis, the Cronbach Alpha reliability coefficient can be seen to be calculated as .884 for the whole self-efficacy scale consisting of 18 items. Confirmative factor analysis results and fit indexes were checked, and fit indexes of the scale were seen to have good and acceptable fits. Based on these findings, the Computational Thinking Self-efficacy Scale is a valid and reliable tool that may be used in measuring to predict Computational Thinking.