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Digitale geletterdheid bestaat uit 4 vaardigheden namelijk: ICT basisvaardigheden: de basis van ICT. Om kunnen gaan met apparatuur en software. Informatievaardigheden: opzoeken van informatie (zowel online als offline!). Mediawijsheid: omgaan met alle media die we gebruiken en op ons afkomen. Computational thinking: problemen oplossen met behulp van de computer. Hieronder valt programmeren, het maken

Deze online workshop is ontwikkeld voor leerkrachten. Computational thinking maakt onderdeel uit van de eenentwintigste eeuwse vaardigheden. Kennisnet introduceert je in de workshop …

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Songs and games can be used to teach the basics of computer science to young students in age-appropriate ways—without a screen.

Four of the skills used to solve computer science problems can be applied in other classes as well.

The workshop focuses on the development of complex geometries developed through simple processes based on Voronoi distributions.

From the team behind Computer Science for Fun (cs4fn), The Power of Computational Thinking shows that learning to think can be fascinating fun.Yes, and this book shows you how.Computational thinkin...

NGSS science and engineering practices number 5. Using Mathematics & Computational Thinking

We define computational thinking [ CT ] as a problem solving process that is grounded in advances in Computer Science. Although well-illustrated by the computer science field, those skills are...

This peek into computational thinking provides a fun series of lessons and games for children in grades K-12, specifically elementary students. We hope to show that even without instructions you can figure out anything if you are willing to think for yourself! That's what computational thinking is all about!

Center for Computational Thinking, Carnegie Mellon

Buy Computational Thinking: First Algorithms, Then Code 1st ed. 2018 by Ferragina, Paolo, Luccio, Fabrizio (ISBN: 9783319979397) from Amazon's Book Store. Everyday low prices and free delivery on eligible orders.

Visualization of CT as “connecting tissue” between CS/programming and disciplinary knowledge of the world

Computational thinking will provide the platform for students to make deep learning connections with the content areas they are studying.

Claudia Haines, librarian at Homer Public Library in Homer, Alaska, describes a recent Storytime with Robots event that she hosted in which children and their parents had the opportunity to think about computational thinking along with early literacy. This post was originally published on Claudia's

This paper explores the uniqueness of computational thinking and its roots in theoretical, engineering and scientific traditions of computing and distinguishes what is an aspect in one or more of these traditions and what is unique for computer science. The concept of computational thinking is timely. It is widely agreed that in order to benefit and thrive in a digital world, more than digital literacy is required. Computational thinking promises understanding of information technology and its utilization without necessarily knowing how to write code. According to many authors, skills in computational thinking include the ability to evaluate and design solutions to problems. However, the vision for computational thinking, laid out by a number of scholars, is even bigger than this. It proposes that thinking habits from computer science are beneficial for any kind of problem solving and that those thinking habits form a central part of modern sciences. It might be that components of computational thinking are indeed useful in problem solving and that they play an important part in other sciences. However, computer science combines three types of thinking traditions: theoretical (mathematical) tradition, engineering tradition and scientific tradition, and it is important to differentiate between what is an aspect in one or more of these traditions and what is unique for computer science. This clarification will support the application and teaching of computational thinking. This paper explores the uniqueness of computational thinking and its roots in theoretical, engineering and scientific traditions of computing.

This course will help inspire the integration of computer science and computational thinking into core content.

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