PACT: A Citizen Science Project for Computing Education

Braz Araujo da Silva, S. Cavalheiro, Luciana Foss, A. Pernas, A. Garcez
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引用次数: 1

Abstract

This innovative practice full paper proposes a model for centralizing, categorizing and organizing Computational Thinking resources and knowledge. The term “Computational Thinking” usually refers to problem solving skills related to Computer Science. Yet, there is neither: a consensual definition of what exactly is this term about; nor which skills are involved. Even under these conditions, several studies are conducted regarding this theme around the world, as well as informal activities applied by non-researchers enthusiasts. Thus, a model to reunite both, academic and non-scientific community, around the Computational Thinking is proposed: the Partnership for Advancing Computational Thinking, PACT. On one hand it is an effort to guide convergence in the literature, leading to more standardized definitions and spotting similarities or disagreements between authors. And on the other hand, it is a platform for sharing resources and experiences between the communities, an initiative to bring the model of research with public participation (Citizen Science) to education. An expandable ontology that is able to consider the perspective of multiple authors over the subjects is used to implement the model. Three different author views and resources are instantiated to illustrate the range, expressiveness and operation of the ontology. It is revealed able to model author views from previous models, frameworks and even discursive texts, as well as linking resources of different natures by their purpose and subjects approached.
PACT:计算机教育公民科学计划
本文提出了一种集中、分类和组织计算思维资源和知识的模型。“计算思维”这个术语通常指的是与计算机科学相关的解决问题的能力。然而,两者都没有:对于这个术语究竟是什么,人们有一个共识的定义;也不知道涉及哪些技能。即使在这些条件下,世界各地也进行了一些关于这一主题的研究,以及由非研究人员爱好者应用的非正式活动。因此,提出了一个围绕计算思维重新团结学术界和非科学界的模型:推进计算思维伙伴关系,PACT。一方面,它是一种引导文献趋同的努力,导致更标准化的定义,并发现作者之间的相似或分歧。另一方面,它是社区之间共享资源和经验的平台,是将公众参与的研究模式(公民科学)引入教育的一项倡议。一个可扩展的本体,能够考虑多个作者对主题的看法,用于实现模型。实例化了三种不同的作者视图和资源,以说明本体的范围、表达能力和操作。它可以从先前的模型、框架甚至话语文本中对作者的观点进行建模,并根据其目的和所接近的主题将不同性质的资源联系起来。
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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