Introductory Guide

Computational thinking is a fundamental skill for everyone, not just for computer scientists.[1]Computational Thinking is not only the ability of mathematical calculation, but also the ability to use computers. According to my understanding, Computational Thinking is a series of thinking activities such as problem solving, system design, and mathematical modeling using the thinking mode of computer science.

Computational Thinking is a way of thinking. It is a way of modeling the problems to be solved, even the world. Although its name is' Computational Thinking ', this kind of thinking is essentially human thinking. It is a thinking process, which can be used to help us control and operate computing equipment, so as to complete related tasks more efficiently. Because human beings are not as powerful as computers in computing ability, storage ability and memory ability, we need to understand that computers are operating principles, and we must well master the way of thinking related to computers to solve problems. This can solve problems that could not be imagined before the computer was invented.

This kind of thinking has great potential, which can stimulate people to maximize the use of computing resources. When we can understand Computational Thinking very well, we can better let machines assist humans. Therefore, it is important within the context of my program of study In addition, Computational Thinking will also bring us great help in our future study and work. Therefore, Computational Thinking is worth learning.

References

[1].Wing, J. M. (2006). Computational thinking. Communications of the ACM, 49(3), 33-35.

[2].Lu, J. J., & Fletcher, G. H. (2009, March). Thinking about computational thinking. In Proceedings of the 40th ACM technical symposium on Computer science education (pp. 260-264).

[3].Selby, C., & Woollard, J. (2014). Refining an understanding of computational thinking.

[4].Wing, J. M. (2008). Computational thinking and thinking about computing. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 366(1881), 3717-3725.

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