Computational thinking definition

Computational thinking means the set of problem-solving skills and techniques that software engineers use to write programs that underlie computer applications, including decomposition, pattern recognition, pattern generalization, and algorithm design.
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Computational thinking means the thought process involved in
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Computational thinking means problem-solving skills and techniques commonly used by software engineers when writing programs for computer applications. Such skills and techniques include, without limitation, decomposition, pattern recognition, pattern generalization and designing algorithms.
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Examples of Computational thinking in a sentence

  • These standards contain five strands: Computational thinking, Collaboration, Computing Prac- tice and Programming, Computers and Communication De- vices, and Community, Global and Ethical Impacts.

  • Computational thinking (CT) was probably first intro- duced in connection with children’s education by Seymour Papert in his book Mindstorms, while referring to the initial attempts to “integrate computational thinking into everyday life” [72] (p.

  • Computational thinking and tinkering: Exploration of an early childhood robotics curriculum.

  • Computational thinking is not primarily about the development of electronic computer systems.

  • Computational thinking was only recently popularised as a concept in 2006 by Wing (2006), although the original definition stems from Papert (1996).

  • Computational thinking is currently mainly associated with problem-solving, but this may limit the opportunities for getting the most from it, as well as limiting those who might be attracted to using it.

  • Computational thinking is a problem solving process that requires people to think in new ways to enable effective use of computing to solve problems and create solutions.

  • Computational thinking also has the potential to foster creativity in the classroom by allowing students to move from consumers of technology to building tools that benefit society [Mishra et al.

  • Computational thinking is especially relevant for future electrical and computer engineers in the modern AI era since it underlies the various topics (abstraction, data science, algorithms, pattern recognition, optimization) that have become indispensable for the modern information era[23] [43].

  • These include:- CS Unplugged (csunplugged.org)- Teaching London Computing (teachinglondoncomputing.org)- Barefoot (barefootcas.org.uk)- ISTE's Computational Thinking Toolkit (Sykora, 2014)- Google’s Exploring Computational Thinking (Google, n.d.)- Bebras (Bebras, n.d.)- Dr Scratch (www.drscratch.org)- Digital Schoolhouse (www.digitalschoolhouse.org.uk)- Computational thinking rubric (Dorling & Stephens, 2016)There are many more such resources and resource collections with more being developed all the time.


More Definitions of Computational thinking

Computational thinking means problem-solving skills and techniques commonly used by software engineers when writing programs for computer applications. Such skills and techniques include, without limitation, decomposition, pattern recognition, pattern generalization, and designing algorithms. “Computer coding” means the process of writing script for a computer program or mobile electronic device. (SB 313, 80th Legislative Session, 2019)
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Computational thinking means the thought processes
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Computational thinking means problem-solving skills and techniques commonly used by software engineers when writing programs for computer applications. Such skills and techniques include, without limitation, decomposition,
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Computational thinking means the thought process
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Computational thinking. In traditional organization when workers face a problem in completing a task they have to inform the supervisor that will handle it personally. Makers use instead computational thinking to overcome difficulties. Computational thinking aims at training people to think like computer scientists when facing a problem. This practice could be effective also in organizational contexts to spread problem solving and independence in the production line. The questions to be addressed with the empirical investigation are: “how the introduction of computational thinking could be efficient in a production line environment?” and: “which computational tools could be helpful in doing this?” (Wing 2010; Rode 2015).
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Related to Computational thinking

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