Cómo mejorar el pensamiento computacional: un estudio de caso

IF 1.9 Q2 EDUCATION & EDUCATIONAL RESEARCH
J. Figueiredo
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引用次数: 10

Abstract

One of the best skills for everyone, for now, and for the future, is problem-solving. Computational thinking is the way to help us to develop that skill. Computational Thinking can be defined as a set of skills for problemsolving based on computer techniques. Computational thinking is needed everywhere and is going to be a key to success in almost all careers, not only for a scientist but for many professionals, like doctors, lawyers, teachers or farmers. For many problems it is a good idea to make a plan for its resolution using some of the techniques of computer science, such as: breaking down a complex problem into smaller parts that are more manageable and easier to understand, or solve—decomposition; looking for similarities among and within problems and others experiences—pattern recognition; focusing on the important information only, and pulling out specific differences to make one solution work for multiple problems: abstraction; developing a step-by-step solution to the problem: algorithms. This plan can be used by everyone, regardless of their area of knowledge, task or age. It is essential that these techniques are practiced and developed very early. In recent years we have to see the proliferation of numerous projects with the specific objective of encouraging the study of Computational thinking. The projects of massification of computational thinking and coding are now starting to be implemented in our education system in Portugal. Most students of the first year of the Computer Engineering course, from the IPG, mostly did not have the opportunity to develop computational thinking throughout their student life. In this paper, we present the results of a case study using follow and give instructions to improve their capacities in Computational Thinking..
如何提高计算思维:一个案例研究
对每个人来说,无论是现在还是未来,最好的技能之一就是解决问题。计算思维是帮助我们发展这种技能的方法。计算思维可以定义为一套基于计算机技术解决问题的技能。计算思维在任何地方都是必要的,它将成为几乎所有职业生涯成功的关键,不仅对于科学家,而且对于许多专业人士,如医生、律师、教师或农民。对于许多问题,使用计算机科学的一些技术来制定解决方案是一个好主意,例如:将复杂的问题分解为更易于管理和理解的较小部分,或者分解;在问题和其他经历之间、内部寻找相似之处——模式识别;只关注重要信息,并找出具体的差异,使一个解决方案适用于多个问题:抽象;开发一个循序渐进的解决方案:算法。每个人都可以使用此计划,无论他们的知识领域、任务或年龄如何。至关重要的是,这些技术要尽早实践和发展。近年来,我们看到了许多项目的激增,这些项目的具体目标是鼓励对计算思维的研究。计算思维和编码的大规模化项目现在开始在葡萄牙的教育系统中实施。IPG计算机工程课程第一年的大多数学生在整个学生生涯中都没有机会发展计算思维。在本文中,我们展示了一个使用follow的案例研究的结果,并给出了提高他们计算思维能力的指示。。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Education in the Knowledge Society
Education in the Knowledge Society EDUCATION & EDUCATIONAL RESEARCH-
自引率
10.30%
发文量
27
审稿时长
4 weeks
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