Which term refers to the process of breaking down problems for solutions?

The correct term for the process of breaking down problems for solutions is computational thinking. This concept encompasses various strategies used to analyze and solve problems effectively, particularly in computing and programming. It involves several key skills, such as decomposition (breaking a complex problem into smaller, more manageable parts), pattern recognition (identifying trends or similarities in problems), abstraction (focusing on the important information and ignoring the irrelevant details), and algorithm design (developing step-by-step instructions to solve the problem).

By engaging in computational thinking, individuals can tackle intricate issues systematically and develop robust solutions, making it essential for problem-solving in computer science and beyond.

The other terms do not encapsulate this specific problem-solving process as effectively. Structural thinking often refers to organizing and structuring information, informatics is generally concerned with the processing and management of information, and systematic analysis pertains to methodically examining data or problems, but does not inherently focus on the broader methodology of breaking down problems as computational thinking does.