Computational thinking has four subsets: decomposition, pattern recognition, algorithms, and abstraction. Together, these valuable areas form the benefits of computational thinking.

This video discusses a lesson on Computational Thinking, designed to show you how to take a big difficult problem and turn it into several simpler problems.

Computational Thinking: The process of solving problems by breaking them down into smaller, more manageable parts, using abstraction, algorithm design, decomposition, and iterative testing.

Education and the Future: Computational Thinking as an Educational Policy Ticmas organized two days in Montevideo to address educational transformation strategies in the country. Emiliano Pereiro ...

Blending movement and computer programming supports girls in building computational thinking skills, according to an ongoing study. This is important research, as even with increasing demands for ...

Computational thinking involves breaking down a problem into tiny bits, and finding out a repeatable path for solving them. Essentially, it involves designing algorithms to perform tasks, and is a ...

When students are able to develop solutions with step-by-step instructions, they’re in turn creating an algorithm to use for future problems. Bringing computational thinking into the classroom is an ...

Researchers adapt model predictive control from engineering to epidemic response, balancing health and economic costs under ...

Empower your students with computational thinking. Learn how to integrate these skills into your teaching and boost student engagement.