How to Develop Computational Thinking: A Systematic Review of Empirical Studies

ArticleAçık Erişim

Özet

The primary purpose of this study is to investigate CT skills development process in learning environments. It is also aimed to determine the conceptual understanding and measurement approaches in the studies. To achieve these aims, a systematic research review methodology was implemented as the research design. Empirical studies on computational thinking indexed in the Web of Science and ERIC databases were selected without constraint on the publication dates. The studies found were examined and a pre-analysis was conducted by the researchers. Following the pre-analysis, 29 articles were selected to be included in the study. Content analysis was applied in order to determine and evaluate the common codes and themes related to the findings. In conclusion, instead of relying on attractiveness, functionality, market share of educational tools (robotic sets, software packets etc.), availability of qualified learning activities focused on problem solving is the main point practitioners should consider. © 2020. All Rights Reserved.

Anahtar Kelimeler

RDL Kalıcı Bağlantı (PID)
https://rdlopen.rawdatalibrary.net/r/ebyu/13936Resmi atıflarda kullanılan kalıcı adres
DOI
https://doi.org/10.15388/infedu.2020.30Yayıncı resmi DOI adresi
Tam Kayıt
AlanDeğerDil
dc.contributor.authorTASLIBEYAZ, Elif
dc.contributor.authorKURSUN, Engin
dc.contributor.authorKARAMAN, Selcuk
dc.date.accessioned2026-10-18T20:28:44.324172891Z
dc.date.available2026-10-18T20:28:44.324172891Z
dc.date.issued2020
dc.description.abstractThe primary purpose of this study is to investigate CT skills development process in learning environments. It is also aimed to determine the conceptual understanding and measurement approaches in the studies. To achieve these aims, a systematic research review methodology was implemented as the research design. Empirical studies on computational thinking indexed in the Web of Science and ERIC databases were selected without constraint on the publication dates. The studies found were examined and a pre-analysis was conducted by the researchers. Following the pre-analysis, 29 articles were selected to be included in the study. Content analysis was applied in order to determine and evaluate the common codes and themes related to the findings. In conclusion, instead of relying on attractiveness, functionality, market share of educational tools (robotic sets, software packets etc.), availability of qualified learning activities focused on problem solving is the main point practitioners should consider. © 2020. All Rights Reserved.
dc.identifier.doi10.15388/infedu.2020.30
dc.identifier.eissn2335-8971
dc.identifier.endpage719
dc.identifier.issn1648-5831
dc.identifier.issue4
dc.identifier.scopus2-s2.0-85098479362
dc.identifier.startpage701
dc.identifier.urihttps://rdlopen.rawdatalibrary.net/r/ebyu/13936
dc.identifier.volume19
dc.identifier.wosWOS:000599664300009
dc.language.isoen
dc.publisherVilnius University Institute of Data Science and Digital Technologies
dc.relation.ispartofInformatics in Education
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectcomputational thinking
dc.subjectcomputational thinking interventions
dc.subjectempirical studies
dc.subjectsystematic review
dc.titleHow to Develop Computational Thinking: A Systematic Review of Empirical Studies
dc.typeArticle
dspace.entity.typePublication
rdl.citation.scopus36
rdl.citation.wos28
rdl.oa.statusgold
rdl.source.indexSCOPUS
rdl.source.indexWOS
rdl.wos.indexEmerging Sources Citation Index (ESCI)