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

Don't Miss Computational Thinking in Your Digital Literacy Program A Q&A with Mark Frydenberg By Mary Grush 03/09/20 Most colleges and universities have, for what seems like a very long time, ...

One of the eight Next Generation Science Standards (NGSS) scientific practices is using mathematics and computational thinking (CT). CT is not merely a data analysis tool, but also a problem-solving ...

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

In this example and others, Gomez said that algorithms help students acknowledge the steps they are following during a task and increase their awareness of their work processes. Gomez works with ...

Refining with colors Mathematicians have developed various strategies to compare graphs. Since the 1970s, algorithms have been able to test graph isomorphism, but in exponential time.

The 1996 algorithm required a number of computational steps that was roughly proportional to the square root of the number of nodes in the graph. “ [It’s] much better than just doing it from scratch ...

You might not have heard of computational thinking before, but computer scientists and educators have discussed similar concepts since the 1960s. But it was Jeannette Wing, an MIT-trained computer ...

Network scientists at Indiana University have developed a new computational method that can leverage any body of knowledge to aid in the complex human task of fact-checking.

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 Biology is an interdisciplinary field that develops and applies computational methods to understand and predict biological systems, and to address societal challenges. The Computational ...