Computational Thinking

Computational thinking, problem-solving and programming

Understandings

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:

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

Separate into simpler constituents.

Give a detailed account including reasons or causes.

The circumstances that form the setting for an event, statement, or idea, and in terms of which it can be fully understood and assessed.

Break down in order to bring out the essential elements or structure. To identify parts and relationships, and to interpret information to reach conclusions.

Prove or make clear by reasoning or evidence, illustrating with examples or practical application.

Use an idea, equation, principle, theory or law in relation to a given problem or issue.

Develop information in a diagrammatic or logical form.

Assess the implications and limitations; make judgments about the ideas, works, solutions or methods in relation to selected criteria.