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Computational Thinking in Education: A Pedagogical Perspective - Ethan Durant - Bog

Bag om Computational Thinking in Education: A Pedagogical Perspective

Computational thinking refers to the set of cognitive skills for the application of fundamental concepts and reasoning derived from computer science and computing in order to solve a diverse range of problems. In the field of education, computational thinking refers to a group of problem-solving methods that encompass the automation of processes, while using computing for analyzing, exploring and understanding the processes. There are certain characteristics that describe computational thinking, including pattern recognition, decomposition, algorithms, and generalization or abstraction. It is used to approach a problem with problem solving techniques, such as symbolic representation, iteration, and logical operations. This book is compiled in such a manner, that it will provide in-depth knowledge about computational thinking in education from a pedagogical perspective. Coherent flow of topics, student-friendly language and extensive use of examples make this book an invaluable source of knowledge.

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  • Sprog:
  • Engelsk
  • ISBN:
  • 9781647284763
  • Indbinding:
  • Hardback
  • Sideantal:
  • 381
  • Udgivet:
  • 19. september 2023
  • Størrelse:
  • 152x22x229 mm.
  • Vægt:
  • 676 g.
  • 2-3 uger.
  • 13. december 2024
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  • BLACK WEEK

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Prøv i 30 dage for 45 kr.
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Beskrivelse af Computational Thinking in Education: A Pedagogical Perspective

Computational thinking refers to the set of cognitive skills for the application of fundamental concepts and reasoning derived from computer science and computing in order to solve a diverse range of problems. In the field of education, computational thinking refers to a group of problem-solving methods that encompass the automation of processes, while using computing for analyzing, exploring and understanding the processes. There are certain characteristics that describe computational thinking, including pattern recognition, decomposition, algorithms, and generalization or abstraction. It is used to approach a problem with problem solving techniques, such as symbolic representation, iteration, and logical operations. This book is compiled in such a manner, that it will provide in-depth knowledge about computational thinking in education from a pedagogical perspective. Coherent flow of topics, student-friendly language and extensive use of examples make this book an invaluable source of knowledge.

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