Data Science for Everyone Starts in Kindergarten: Strategies and Initiatives from the American Statistical Association

Data Science for Everyone Starts in Kindergarten: Strategies and Initiatives from the American Statistical Association
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每个人的数据科学从幼儿园开始:美国统计协会的策略和举措

DOI:
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发表时间:
2020
期刊:
Harvard data science review
影响因子:
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通讯作者:
D. LaLonde
D. LaLonde
中科院分区:
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文献类型:
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作者:
Wendy Martinez;D. LaLonde

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美国统计协会 (ASA) 致力于支持和加强从低年级到博士学位的各个级别的统计和数据科学教育。对统计和数学的态度很早就形成,因此确保小学年级的学生拥有积极且有意义的统计和数据科学教育经历至关重要。如果提供适当的资源和支持,基础教育工作者将能够创建数据丰富的学习环境,并为未来的成功奠定基础。这就是当前教育计划重点关注 K-6 年级的动机,在美国,该计划是指幼儿园(5 岁)至六年级(11 至 12 岁)年级。在本文中,我们探讨了 ASA 的一些成就以及当前通过扩展基础教育资源来激励未来数据科学家的努力。
The American Statistical Association (ASA) is committed to supporting and enhancing statistics and data science education at all levels, from early grades to the PhD. Attitudes about statistics and mathematics form early, so it is critical to ensure that students in the elementary grades have positive and meaningful statistics and data science education experiences. Provided with the appropriate resources and support, elementary educators will be able to create data-rich learning environments and establish the foundation for future success. This is the motivation for the focus on grades K-6 for the current education initiative, which in the United States is kindergarten (age 5) through sixth (age 11 to 12) grade levels. In this article we explore some of the ASA’s achievements and current efforts to inspire future data scientists by expanding elementary education resources.