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Integrating Mathematical Thinking, Abstract Thinking, and Computational Thinking

机译:整合数学思维,抽象思维和计算思维

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In recent years, several groups of Computer Science educators have made a sustained effort to capture the essence of CS apart from programming. Three of these approaches are Mathematical Thinking, Abstract Thinking, and Computational Thinking. Each approach tries to clarify areas of CS that are not directly tied to writing computer programs. In a separate line of research, the current authors have been examining different ways to teach mathematics to CS students. We developed a Computational Math scale that measures the level of problem-solving gestalt exhibited by textbook authors. In this study, we relate our Computational Math framework to current research on Mathematical, Abstract, and Computational (MAC) Thinking. We counted words used frequently in research articles and compared them to words that form the Computational Math scale. Our results suggest an overall MAC Thinking framework that integrates a wide range of topics relevant to computing and programming.
机译:近年来,除编程外,几组计算机科学教育工作者一直在努力捕捉CS的本质。这些方法中的三种是数学思维,抽象思维和计算思维。每种方法都试图弄清楚CS的与编写计算机程序没有直接联系的领域。在另一项研究中,目前的作者一直在研究针对CS学生进行数学教学的不同方法。我们开发了计算数学量表,用于衡量教科书作者所展示的解决问题的格式塔的水平。在这项研究中,我们将计算数学框架与关于数学,抽象和计算(MAC)思维的最新研究相关。我们计算了研究文章中经常使用的单词,并将它们与构成计算数学量表的单词进行了比较。我们的结果提出了一个整体的MAC思维框架,该框架整合了与计算和编程相关的广泛主题。

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