The long quest for computational thinking
The long quest for computational thinking
复制标题
对计算思维的长期追求
DOI：
10.1145/2999541.2999542
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发表时间：
2016
期刊：
影响因子：
--
通讯作者：
P. Denning
中科院分区：
文献类型：
--
作者：
M. Tedre;P. Denning
计算思维（CT）是一个流行的短语，它是指一系列计算思想和思想习惯，即计算学科中的人们通过设计机械执行的程序，软件，模拟和计算的工作来获得计算学科的人们。最近，针对K-12运动的计算思维催生了整个教育部门的举措，许多国家正在进行教育改革。但是，现代的CT计划应该充分了解计算思维的广阔和深刻历史，或冒着重复已经被驳斥的索赔，过去的错误以及已经解决的问题，或者失去了CT中一些最富有，最雄心勃勃的想法。本文概述了CT开发的三个重要历史流：计算的纪律方式的演变，在计算方面的思维和实践，教育研究和努力以及计算科学和社会数字化的出现。本文研究了对CT计划的许多威胁：缺乏野心，教条主义，知道与做事，夸张的主张，狭窄的计算观点，对配方的过度强调以及对计算模型的视线失去。
Computational thinking (CT) is a popular phrase that refers to a collection of computational ideas and habits of mind that people in computing disciplines acquire through their work in designing programs, software, simulations, and computations performed by machinery. Recently a computational thinking for K-12 movement has spawned initiatives across the education sector, and educational reforms are under way in many countries. However, modern CT initiatives should be well aware of the broad and deep history of computational thinking, or risk repeating already refuted claims, past mistakes, and already solved problems, or losing some of the richest and most ambitious ideas in CT. This paper presents an overview of three important historical currents from which CT has developed: evolution of computing's disciplinary ways of thinking and practicing, educational research and efforts in computing, and emergence of computational science and digitalization of society. The paper examines a number of threats to CT initiatives: lack of ambition, dogmatism, knowing versus doing, exaggerated claims, narrow views of computing, overemphasis on formulation, and lost sight of computational models.