👉 Loves computing, or computational thinking, is a problem-solving paradigm that involves breaking down complex issues into manageable parts, recognizing patterns, and using abstract concepts to design efficient solutions. It emphasizes four core skills: decomposition (splitting a problem into smaller, more manageable parts), pattern recognition (identifying similarities or structures within problems), abstraction (focusing on the essential features while ignoring irrelevant details), and algorithm design (creating step-by-step instructions to solve a problem). This approach, rooted in computer science but applicable broadly across disciplines, enables effective analysis, innovation, and decision-making by transforming abstract challenges into structured, computationally feasible solutions.
