Teaching data science to secondary students: the mobilize introduction to data science curriculum

R. Gould, Suyen Machado, Christine Ong, T. Johnson, J. Molyneux, S. Nolen, H. Tangmunarunkit, L. Trusela, Linda Zanontian
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引用次数: 17

Abstract

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.
中学生数据科学教学:数据科学课程的动员导论
理解数据是复杂的,理解“大数据”和许多开放数据源所需的知识和技能超出了传统统计学入门课程所教授的知识和技能。动员项目为中学生创建并实施了数据科学入门(IDS)课程,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。虽然课程不直接涉及开源数据,但课程中使用了这些数据,项目的一个结果是培养技能和思维习惯,使学生能够使用开源数据来理解他们的社区。本文介绍了这门课程,并描述了在实施过程中遇到的一些挑战。
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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