Abstract:

The aim of the study is to determine the distribution of studies on computational thinking in Turkish literature between 2015 and 2020, according to the variables of year, subject area, study type, method used, data collection tool, data analysis method, sample characteristics, results and recommendations. TR Dizin and National Thesis Center database were used to reach studies on computational thinking. In these databases, the keywords "computational thinking" was used and a total of 45 studies, 10 articles and 35 theses, were examined. While the publication classification form was used as a data collection tool, content analysis was used as data analysis methods. According to the results, the number of researches on computational thinking has increased in recent years. It was observed that the most studies were carried out in 2019 and the subject with the most studies was programming education. Almost half of the studies consist of experimental studies. The most selected sample level is middle school students. The frequently used sample size is 31-100 people and the sample selection method is purposive sampling. Likert type tests, were mostly used as data collection tools in the studies. According to the results, the most observed outcome is the increase in computational thinking skills with programming education. Conducting new studies at various levels and with large samples is the most frequently expressed recommendation. As a result of the research, it can be suggested that the solution of real life problems with an interdisciplinary approach should be taken as the basis for the development of the CT skill.

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