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

Pattern-spotting and decomposition are two of the six fundamental skills required for computational thinking. Marc Faulder examines how they best fit with what is already practised in the early years ...

The main principles of computational thinking include decomposition (breaking problems down into smaller parts), pattern recognition (finding similarities between pieces), abstraction (generalizing ...

We suggest that computational thinking — which applies concepts from computer science — provides a framework for pre-K-12 educators to integrate and apply computational methods to solve ...

PRESENTER: Groups will write instructions using the four steps of computational thinking. On-screen text reads 'decomposition, pattern location, abstraction, algorithms'.

They outlined four strategies that make up the computational thinking process: Decomposition - breaking a complex problem into smaller parts or questions Pattern recognition - identifying trends, ...

Learn how to use two key skills – computational thinking and design thinking – if you want to take advantage of everything modern technology offers.