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

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 ...

Using an appropriate representation or abstraction for problem-solving is a crucial piece of computational thinking. Just as algorithms written in psuedo-code or flowcharts help learners take the step ...

Bringing computational thinking into education would outfit students to undertake problem solving where the problems are complex and have many interrelated parts (like a computational model does); to ...

Bentley University's Senior Lecturer of Computer Information Systems and Director of that university's CIS Sandbox considers computational thinking in relation to digital literacy. How can we adjust ...

A new journalism is emerging, grounded in computational thinking, that mimics the values and processes of knowledge production in the information age — what some experts call remix culture.

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

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

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