Computational thinking and thinking about computing
TLDR
In thinking about computing, the authors need to be attuned to the three drivers of their field: science, technology and society, to revisit the most basic scientific questions of computing.Abstract:
Computational thinking will influence everyone in every field of endeavour. This vision poses a new educational challenge for our society, especially for our children. In thinking about computing, we need to be attuned to the three drivers of our field: science, technology and society. Accelerating technological advances and monumental societal demands force us to revisit the most basic scientific questions of computing.read more
Citations
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Review on teaching and learning of computational thinking through programming
Sze Yee Lye,Joyce Hwee Ling Koh +1 more
TL;DR: The current trends of empirical research in the development of computational thinking through programming is presented and a constructionism-based problem-solving learning environment could be designed to foster computational practices and computational perspectives and suggests possible research and instructional implications.
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Demystifying computational thinking
TL;DR: Examples of CT definitions, interventions, assessments, and models across a variety of disciplines are shown, with a call for more extensive research in this area.
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Which cognitive abilities underlie computational thinking? Criterion validity of the Computational Thinking Test
TL;DR: In this paper, a Computational Thinking Test (CTt) is administered on a sample of 1,251 Spanish students from 5th to 10th grade, so its descriptive statistics and reliability are reported in this paper.
Computational Thinking 計算論的思考
Jeannette M. Wing,翻訳：中島 秀之 +1 more
TL;DR: In this article, a universally applicable attitude and skill set for computer science is presented, which is a set of skills and attitudes that everyone would be eager to learn and use, not just computer scientists.
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Big Data: Survey, Technologies, Opportunities, and Challenges
Nawsher Khan,Ibrar Yaqoob,Ibrahim Abaker Targio Hashem,Zakira Inayat,Waleed Kamaleldin Mahmoud Ali,Muhammad Alam,Muhammad Shiraz,Abdullah Gani +7 more
TL;DR: This study comprehensively surveys and classifies the various attributes of Big data, including its nature, definitions, rapid growth rate, volume, management, analysis, and security, and proposes a data life cycle that uses the technologies and terminologies of Big Data.
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