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 Abstraction | ||
# explain Decomposition | # explain Decomposition | ||
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# construct algorithms that address a given problem | # construct algorithms that address a given problem | ||
# evaluate whether a given algorithm would solve a given problem | # evaluate whether a given algorithm would solve a given problem | ||
== References == | == References == |
Revision as of 10:27, 4 December 2022
![](/images/c/c6/Computation.png)
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):
Computational thinking is essential for the development of computational solutions which may or may not be computer-based.
Students must be able to demonstrate:
- 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:
- 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.
Standards[edit]
- 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