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Education and Characteristics of Computational Thinking: A Systematic Literature Review

  • M. Juca-Aulestia,
  • E. Cabrera-Paucar,
  • V. Sánchez-Burneo

摘要

The purpose of this research paperwork is to learn about computational thinking (CT) in terms of its characteristics. How it influences teaching and learning through a systematic implementation of a literature review is also a part of this research. The implemented SLR methodology is oriented toward education and engineering, selecting 71 articles from the Scopus database. The results allow identifying the characteristics that influence computational thinking to generate skills and to solve problems with the application of software, block programming, and artifact design. On the other hand, how the results influence the teaching-learning of computational thinking for teachers and students to generate programming skills working in some environments such as Scratch or Snap, 3D technology to solve problems of industry 4.0 is also relevant. Thus, working on computer science principles become viable. Moreover, computational thinking allows students to decompose, generalize, and recognize patterns for the development of the industry. This is of utmost importance for problem-solving through digital tools, technology to produce ideas, and innovative and systematic solutions.