Computational thinking is a problem-solving process that involves several key concepts from computer science. It is a way of approaching problems so that they can be solved with algorithms and computational methods. The core concepts of computational thinking include: Decomposition: Breaking down a complex problem into smaller, more manageable parts. Pattern Recognition: Identifying patterns or similarities within the problem to make solving it easier. Abstraction: Focusing on the important information only, and ignoring irrelevant details. Algorithms: Developing step-by-step solutions or rules to solve the problem. These concepts are not limited to computer science; they can be applied to problems in many fields, helping individuals to understand and solve problems more effectively by thinking logically and systematically. Computational thinking is fundamental to programming and is a critical skill for anyone looking to work in technology-related fields.