Dal computational thinking al systemic learning
收藏Mendeley Data2024-01-31 更新2024-06-29 收录
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The information and communication technologies (ICT) are the bearers of a transformational change in society. For a sustainable society is necessary, however, to transform the way we think as well as what to order, store and interact with information. The professionals of computer science (CS) already have a conceptual tool kit aimed at the solution of their problems. This kit, at times, is defined generically as "computational thinking". The computational thinking, however, tends to see the world in terms of a number of problems (or problems-type) that have computational solutions or however can be traced to known model solutions. In this paper, we try to argue in support of an idea of necessary bridge that unites computational thinking to the practice of sustainability. Sustainability, understood in a systemic way, it's an approach that allows you to recognize the close inter-interdependence between technology, human behavior and the environment. In the following pages we will try to develop, even as a sketch, an idea that provides a pedagogical regional ontology of the sustainable relationship between the community, the environment and technology ("mereology" Putnam, Varzi Ferraris). In particular we will investigate some of the issues raised by the computational thinking (CT) in the development of intelligence.
信息与通信技术(Information and Communication Technologies,ICT)是推动社会变革性转型的核心载体。然而,若要构建可持续社会,我们不仅需要转变思维模式,还需革新信息整理、存储与交互的方式。计算机科学(Computer Science,CS)领域的从业者已拥有一套用于解决专业问题的概念工具包,这套工具包有时被笼统地称为“计算思维(Computational Thinking)”。然而,计算思维往往将世界视为一系列可通过计算手段解决,或可归约至已知模型解法的问题(或问题类)。本文旨在论证搭建一座联结计算思维与可持续发展实践的必要桥梁的合理性。从系统视角理解的可持续性,是一种能够让人们认识到技术、人类行为与环境之间紧密相互依存关系的研究路径。在后续章节中,我们将尝试勾勒出一套理念框架,即便仅作为初步构想,为社区、环境与技术之间的可持续关系构建教育学视角下的区域本体论(引用了普特南(Putnam)、瓦尔齐(Varzi)与费拉里(Ferraris)提出的“分体论(mereology)”概念)。具体而言,我们将探讨计算思维(CT)在智能发展过程中所引发的若干议题。
创建时间:
2024-01-31



