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HOW WE CAN ALL LEARN TO THINK CRITICALLY ABOUT DATA

机译:我们如何学会批判性地思考数据

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摘要

"Critical thinking with data" aims to teach undergraduate students to review and evaluate critically statistical information and arguments, to convince them of the relevance of statistical literacy, and to imbue them with the disposition of an enquiring statistical consultant. We use diverse strategies for engagement and broad content. Our materials are relevant, accessible, rich, interesting and varied; many are taken from the general media and are media rich. Presentation of statistical content is enriched through the use of eminent guest lecturers, case studies, and many real world examples. We do not rely on mathematics but present multiple perspectives on ideas, concepts and principles. Our abstract building block concepts are first presented through appealing and concrete case studies. Once students grasped the ideas in one context, they generalise these concepts through repeated exposure to manageable open-ended interpretative tasks using on-line and standard assessment tools. We provide illustrations of our approach.
机译:“与数据的批判性思维”旨在教授本科生审查和评估统治信息和论点,以说服他们统计素养的相关性,并以询问统计顾问的处理拟订。我们使用各种策略进行参与和广泛的内容。我们的材料相关,可访问,富裕,有趣,有所不同;许多人从普通媒体上占据,媒体富裕。统计含量的介绍通过使用知名客座讲师,案例研究和许多真实世界的例子来丰富。我们不依赖数学,但在想法,概念和原则上呈现多种观点。我们的抽象构建块概念首先通过吸引力和具体的案例研究介绍。一旦学生在一个语境中掌握了想法,他们会通过使用在线和标准评估工具通过重复接触可管理的开放式解释任务来概括这些概念。我们提供了我们的方法的插图。

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