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  2. There are four key techniques to computational thinking123:
    • Decomposition: breaking down a complex problem or system into smaller, more manageable parts.
    • Pattern recognition: looking for similarities among and within problems.
    • Abstraction: focusing on the important information only, ignoring irrelevant detail.
    • Algorithms: developing a step-by-step solution to the problem, or the rules to follow to solve the problem.
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    There are four key techniques (cornerstones) to computational thinking:

    • decomposition - breaking down a complex problem or system into smaller, more manageable parts
    • pattern recognition – looking for similarities among and within problems
    www.bbc.co.uk/bitesize/guides/zp92mp3/revision/1
    Explain to learners that the four stages of computational thinking are decomposition, pattern recognition, pattern generalisation and abstraction, and algorithm design.
    qualifications.pearson.com/content/dam/pdf/btec-in…
    There are four principles of computational thinking, they are: Decomposition Pattern recognition Abstraction Algorithm design
    teachcomputerscience.com/computational-thinking/
     
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    Computational thinking - Wikipedia

    Computational thinking (CT) refers to the thought processes involved in formulating problems so their solutions can be represented as computational steps and algorithms. In education, CT is a set of problem-solving methods that involve expressing problems and their solutions in ways that a computer … See more

    The history of computational thinking as a concept dates back at least to the 1950s but most ideas are much older. Computational thinking involves ideas like abstraction, data … See more

    The characteristics that define computational thinking are decomposition, pattern recognition / data representation, generalization See more

    Carnegie Mellon University in Pittsburgh has a Center for Computational Thinking. The Center's major activity is conducting PROBEs or … See more

    Computational logic is an approach to computing that includes both computational thinking and logical thinking. It is based on a view of computing as the application of general-purpose logical reasoning to domain-specific knowledge … See more

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    Similar to Seymour Papert, Alan Perlis, and Marvin Minsky before, Jeannette Wing envisioned computational thinking becoming an essential part of every child's education. However, integrating computational thinking into the K–12 curriculum and See more

    The concept of computational thinking has been criticized as too vague, as it's rarely made clear how it is different from other forms of thought. The … See more

     
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  5. What is computational thinking? - Introduction to …

    WEBLearn about the four cornerstones of computational thinking including decomposition, pattern recognition, abstraction and algorithms.

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    WEBComputational thinking is built on four pillars: decomposition, pattern recognition, data representation and abstraction, and algorithms. This module introduces you to the four pillars of computational thinking and …

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