Computational Thinking Framework

The Computational Thinking Framework is a problem-solving approach that involves breaking down complex issues into smaller, manageable parts. It encourages understanding a problem, identifying patterns, creating step-by-step solutions, and evaluating outcomes. This method isn't just for computer scientists; it applies to everyday scenarios, helping individuals think logically and systematically. Key components include decomposition (dividing a problem), pattern recognition (finding similarities), abstraction (focusing on essential details), and algorithms (developing clear instructions). Overall, it's a valuable way to tackle challenges in various fields, enhancing analytical and critical thinking skills.