Computational thinking is a problem-solving approach used by computer scientists. It involves breaking down complex problems into smaller, more manageable parts and creating a step-by-step solution (algorithm) to solve them.

Key aspects of computational thinking include problem decomposition, which means breaking down big problems into smaller parts, pattern recognition to identify repeating patterns, abstraction to focus on important aspects, algorithmic thinking to create step-by-step instructions, and debugging to identify and fix errors.

This skill can be applied to various areas of life, not just computer science. It helps develop logical and systematic thinking, as well as better problem-solving skills.

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