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Identification of Problem-Solving Techniques in Computational Thinking Studies: Systematic Literature Review

Author

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  • Ting-Ting Wu
  • Andik Asmara
  • Yueh-Min Huang
  • Intan Permata Hapsari

Abstract

Problem-solving skills are an ability that must be cultivated to equip students with the skills needed to deal with today’s increasingly complex and volatile environment. Computational thinking represents a new paradigm in problem-solving skills. After Wing proposed Computational Thinking as problem-solving skills in 2006, other scholars investigated this topic; nevertheless, the link between Computational Thinking and problem-solving has not been clearly discussed in previous studies. To uncover evidence for the connection between Computational Thinking and problem-solving skills, we conduct a systematic literature review of 37 papers collected from Web of Science database. The results indicate that (a) problem-solving is discussed in the 37 articles in the context of Computational Thinking, (b) the most frequently employed Computational Thinking stages in problem-solving skills are decomposition, pattern recognition, abstraction, and algorithm, (c) Computational Thinking is closely linked to problem-solving, and (d) Computational Thinking and problem-solving stages serve the same functions in solving problems. The results of this study will encourage the development of education research, particularly in the application of CT as a problem-solving tool in various real-life scenarios.

Suggested Citation

  • Ting-Ting Wu & Andik Asmara & Yueh-Min Huang & Intan Permata Hapsari, 2024. "Identification of Problem-Solving Techniques in Computational Thinking Studies: Systematic Literature Review," SAGE Open, , vol. 14(2), pages 21582440241, May.
    • Handle: RePEc:sae:sagope:v:14:y:2024:i:2:p:21582440241249897
    DOI: 10.1177/21582440241249897
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    References listed on IDEAS

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    1. David Moher & Alessandro Liberati & Jennifer Tetzlaff & Douglas G Altman & The PRISMA Group, 2009. "Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement," PLOS Medicine, Public Library of Science, vol. 6(7), pages 1-6, July.
    2. Henry Small, 1999. "Visualizing science by citation mapping," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 50(9), pages 799-813.
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