Determining the Level of Computational Thinking Skills of Science Teacher Candidates

Abstract

In this study, it was aimed to compare the computational thinking skills of science teacher candidates, according to some variables (gender, class level, having a computer, daily average computer usage time, following technological developments and monthly income level of families). In the study, the survey model, one of the quantitative research methods, was used. The study group of the research consists of Science Teacher Candidates studying at the Faculty of Education of a state university in Türkiye during the 2021-2022 academic year. The data collection tool of the research is the "Computational Thinking Skills Scale" developed by Dolmacı and Akhan (2020). When the results of the study were examined, it was seen that the computational thinking skills of pre-service teachers were generally high. According to the gender variable, it is seen that the statistically significant difference in sub-factors is in favour of male teacher candidates. According to the family monthly income level variable, it has been understood that the statistically significant difference is in favour of the pre-service teachers whose income level is 8001TL and above.