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Computational Thinking is Critical Thinking: Connecting to University Discourse, Goals, and Learning Outcomes

机译:计算思维是批判性思考:连接到大学话语,目标和学习成果

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Computational thinking complements critical thinking as a way of reasoning to solve problems, make decisions and interact with our world. It draws concepts and techniques such as abstraction, decomposition, algorithmic design, generalization, evaluation and iteration from computer and information science, but has broad application in the arts, sciences, humanities and social sciences. This paper compares computational and critical modes of thinking, identifying concepts and terminology that support cross disciplinary discourse, inform faculty and curriculum development efforts, and interconnect learning outcomes at the course, program and university level, thus helping programs better articulate contributions to institutional goals. A better understanding of each mode can enrich what we teach aspiring information professionals about computational and critical thinking, how we teach it, and how we apply these skills in our professional work.
机译:计算思维将批判性思维作为一种推理解决问题,做出决策并与我们的世界互动的方式。 它借鉴了计算机和信息科学的抽象,分解,算法设计,泛化,评估和迭代等概念和技术,但在艺术,科学,人文和社会科学中具有广泛的应用。 本文比较了计算和批判性模式,识别支持跨学科话语的概念和术语,为教师和课程开发努力提供信息,以及在课程,方案和大学层面互连的学习成果,从而更好地阐明对机构目标的贡献。 更好地了解每种模式都可以丰富我们教导有抱负的信息专业人员关于计算和批判性思维,我们如何教导它,以及我们如何在我们的专业工作中应用这些技能。

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