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

Elif Taşlıbeyaz, Engin Kurşun, Selçuk Karaman

2020Informatics in Education41 citationsDOIOpen Access PDF

Abstract

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.

Topics & Concepts

Computer scienceEmpirical researchProcess (computing)Computational thinkingAttractivenessConstraint (computer-aided design)Content analysisMathematics educationKnowledge managementData scienceManagement scienceArtificial intelligencePsychologyEngineeringMathematicsStatisticsMechanical engineeringPsychoanalysisSocial scienceOperating systemSociologyTeaching and Learning ProgrammingGender and Technology in EducationOnline Learning and Analytics
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