Meta-Analysis of Computational Thinking Studies in Science Education: Descriptive Statistics*
| dc.contributor.author | Gülbin KIYICI | |
| dc.contributor.author | Havva YAMAK | |
| dc.date.accessioned | 2024-07-24T09:14:32Z | |
| dc.date.available | 2024-07-24T09:14:32Z | |
| dc.date.issued | 2021 | |
| dc.description.abstract | This study aims is to examine the studies on computational thinking in the field of science education descriptive analysis with a holistic approach. Primary studies were determined according to compliance with inclusion and exclusion criteria through document review and national and international database review. The studies included in the scope of the research were evaluated according to the keywords they used, type of publication, year, the language of publication, research methods, sample characteristics, the subject area, and applications covered, and the characteristics of data collection tools used. Findings from 32 primary studies were analyzed under 9 sub-titles. Keywords, which have an important place in the findings, were visualized with word cloud in accordance with the nature of the data. Findings from 32 primary studies were analyzed under 9 sub-titles. Keywords, which have an important place in the findings, were visualized with word cloud in accordance with the nature of the data. According to the determination in the related literature review, researches to develop computational thinking focus on Computer Education and Instructional Technologies, and mathematics. The findings of this research reveal that it is a necessity to use science fields, which are very suitable for developing computational thinking, and to make the necessary changes in the curriculum. | |
| dc.identifier.DOI-ID | 10.19126/suje.975108 | |
| dc.identifier.uri | http://akademikarsiv.cbu.edu.tr:4000/handle/123456789/26128 | |
| dc.language.iso | eng | |
| dc.title | Meta-Analysis of Computational Thinking Studies in Science Education: Descriptive Statistics* | |
| dc.type | Araştırma Makalesi |