Computational Thinking

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Computational thinking, problem-solving and programming[1]


Wing (2006, 2011) defined computational thinking as the thought processes involved in formulating problems and their solutions so that the solutions are represented in a form that can be effectively carried out by a computer. [2]

Essential question[edit]

How can a complex real-world problem be analysed computationally?

Understandings[edit]

Computational thinking (abbreviated to CT) is an analytical process that can be broken down into four elements: Abstraction; Decomposition; Algorithms; and Pattern recognition.

Students must be able to explain (in the context of Computational thinking to analyse a given problem):

  1. Abstraction
  2. Decomposition
  3. Algorithms
  4. Pattern recognition


Computational thinking is essential for the development of computational solutions which may or may not be computer-based.

Students must be able to demonstrate:

  1. an approach to any given problem from a computational thinking point of view.


Computational thinking is a problem-solving process used across multiple disciplines, and not just in computer science.

Students must be able to apply:

  1. computational thinking to non-computer-based activities.


Computational thinking includes algorithmic thinking. Algorithmic thinking is the basis of solving problems through developing algorithms.

Students must be able to construct:

algorithms that address a given problem and evaluate whether a given algorithm would solve a given problem.