Teaching data science to secondary students: the mobilize introduction to data science curriculum
Teaching data science to secondary students: the mobilize introduction to data science curriculum
复制标题
中学生数据科学教学：数据科学课程介绍的动员
DOI：
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发表时间：
2016
期刊：
影响因子：
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通讯作者：
Linda Zanontian
中科院分区：
文献类型：
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作者：
R. Gould;Suyen Machado;Christine Ong;T. Johnson;J. Molyneux;S. Nolen;H. Tangmunarunkit;L. Trusela;Linda Zanontian
理解数据是复杂的，理解“大数据”所需的知识和技能-以及许多开放数据源-超出了传统的入门统计课程所教授的知识和技能。Mobilize项目为中学生创建并实施了一门课程，即数据科学入门（IDS），旨在培养计算和统计思维技能，使学生能够访问和分析来自各种传统和非传统来源的数据。虽然该课程没有直接涉及开源数据，但这些数据在课程中使用，该项目的成果是培养技能和思维习惯，使学生能够使用开源数据来了解他们的社区。本文介绍了该课程，并描述了在其实施的一些挑战。
Making sense of data is complex, and the knowledge and skills required to understand "Big Data" - and many open data sources - go beyond those taught in traditional introductory statistics courses. The Mobilize project has created and implemented a course for secondary students, Introduction to Data Science (IDS), that aims to develop computational and statistical thinking skills so that students can access and analyze data from a variety of traditional and non-traditional sources. Although the course does not directly address open source data, such data are used in the curriculum, and an outcome of the project is to develop skills and habits of mind that allow students to use open source data to understand their community. This paper introduces the course and describes some of the challenges in its implementation.