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| Autor/inn/en | Gülgün Afacan Adanir; Ibrahim Delen; Yasemin Gulbahar |
|---|---|
| Titel | Research Trends in K-5 Computational Thinking Education: A Bibliometric Analysis and Ideas to Move Forward |
| Quelle | In: Education and Information Technologies, 29 (2024) 3, S. 3589-3614Infoseite zur Zeitschrift
PDF als Volltext |
| Zusatzinformation | ORCID (Gülgün Afacan Adanir) |
| Sprache | englisch |
| Dokumenttyp | gedruckt; online; Zeitschriftenaufsatz |
| ISSN | 1360-2357 |
| DOI | 10.1007/s10639-023-11974-4 |
| Schlagwörter | Forschungsbericht; Early Childhood Education; Elementary Education; Computation; Thinking Skills; Computer Science Education; Educational Research; Research Reports |
| Abstract | Computational thinking is a relatively new field for teachers and educational researchers, where new pedagogical approaches emerge to teach various aspects of computational thinking that covers various thinking abilities and techniques for solving problems. Computational thinking concept received great attention from researchers and instructors with an increasing interest related to teaching of computational thinking in K-5 education, as well as the role of computational thinking in kids' gaining of thinking skills and digital competences. Various studies have been conducted related to the implementation of computational thinking activities in schools. However, there is a lack of study that analyzes the trends of these studies. In this respect, this study aims to conduct a bibliometric analysis and content analysis to investigate the computational thinking studies in K-5 level to explore the current research trends in the field. The analysis covers a total of 156 studies conducted between years 2009 and 2021. The analysis separately provides results for early childhood and elementary levels. The analysis mainly revealed that mostly used pedagogical approaches are robotics, block-based programming, stem, unplugged and gaming activities. In addition, the analysis explored the findings based on four aspects of computational thinking; decomposition, abstraction, pattern recognition and algorithm design. (As Provided). |
| Anmerkungen | Springer. Available from: Springer Nature. One New York Plaza, Suite 4600, New York, NY 10004. Tel: 800-777-4643; Tel: 212-460-1500; Fax: 212-460-1700; e-mail: customerservice@springernature.com; Web site: https://link.springer.com/ |
| Begutachtung | Peer reviewed |
| Erfasst von | ERIC (Education Resources Information Center), Washington, DC |
| Update | 2025/2/06 |
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