Computational Thinking: Difference between revisions

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# [[algorithms]] that address a given problem and evaluate whether a given algorithm would solve a given problem.
# [[algorithms]] that address a given problem and evaluate whether a given algorithm would solve a given problem.
== standards ==
# explain Abstraction
# explain Decomposition
# explain pattern recognition
# explain algorithms
# demonstrate an approach to any given problem from a computational thinking point of view
# apply computational thinking to non-computer-based activities
# construct algorithms that address a given problem
# evaluate whether a given algorithm would solve a given problem





Revision as of 10:27, 4 December 2022

Computational thinking, problem-solving and programming[1]

Understandings[edit]

Computational thinking (abbreviated to CT) is an analytical process. 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:

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

standards[edit]

  1. explain Abstraction
  2. explain Decomposition
  3. explain pattern recognition
  4. explain algorithms
  5. demonstrate an approach to any given problem from a computational thinking point of view
  6. apply computational thinking to non-computer-based activities
  7. construct algorithms that address a given problem
  8. evaluate whether a given algorithm would solve a given problem


References[edit]