Computational Thinking Process

Decomposition is important in computational thinking because it helps make a problem more manageable, helps problem solvers better define and understand the problem being solved, and enables them to simplify the problem through pattern recognition and abstraction.

Computational thinking is the process of identifying a clear, defined, step-by-step solution to a complex problem. Its definition includes breaking down a problem into smaller pieces, recognizing patterns and eliminating extraneous details so that the step-by-step solution can be replicated by humans or computers.

The four parts or steps of computational thinking are decomposition, pattern recognition, abstraction, and algorithm design.

<p>Pattern recognition in computational thinking is the process of identifying patterns or connections between different parts of a bigger problem in order to simplify the problem by finding where details may be similar or different, and to build a continued understanding of the more complex problem.</p> Signup and view all the answers

<p>Abstraction in computational thinking is the process of extracting the most relevant information from each decomposed problem, thus simplifying the problem and focusing on the key aspects for further analysis and solution.</p> Signup and view all the answers