What is computational thinking?

Computational thinking refers to a set of problem-solving methods that involve formulating problems in a way that a computer can effectively execute solutions. This approach is not limited to programming; it encompasses various skills such as thinking logically, breaking down complex problems into manageable parts, recognizing patterns, and devising step-by-step procedures to solve a problem.

By using computational thinking, individuals can tackle problems in a structured manner, making it easier to develop algorithms or use computational tools to arrive at a solution. This framework is foundational for understanding how computers solve problems, which is critical in fields such as computer science, data analysis, and software development. The focus is on the thought process behind problem-solving, often independent of specific programming languages or debugging techniques.

In contrast, the other options do not encapsulate the broader, more conceptual nature of computational thinking. While option A refers to specific programming languages, it does not encompass the overall thought process. Option B simplifies the idea to mere basic thinking about computers, and option D narrows the concept down to just debugging, omitting the essential elements of problem-solving and algorithm development that are fundamental to computational thinking.