Interdisciplinary Data Education: Teaching Primary and Secondary learners how to be data citizens
Interdisciplinary Data Education: Teaching Primary and Secondary learners how to be data citizens
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跨学科数据教育：教授中小学生如何成为数据公民
DOI：
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发表时间：
2019
期刊：
影响因子：
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通讯作者：
J. Robertson
中科院分区：
文献类型：
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作者：
Kate Farrell;J. Robertson
随着数据科学的使用继续渗透到商业和公民生活中，学校系统必须适应年轻人，不仅要为数据相关角色的就业做好准备，还要成为数据社会中的积极公民。本次研讨会介绍了学校数据教育项目，该项目旨在教育3-18岁的学生了解整个课程中的数据。我们将提出一个跨学科的数据教育课程框架，基于PPDAC周期的统计素养和适应苏格兰卓越课程。我们将说明如何基于价值观的真实问题解决项目相关的真实的世界数据可以整合课程成果从计算机科学，数学和社会学科。我们将解释苏格兰资格认证局现在为学校学习者提供的新数据科学资格的理由。研讨会的与会者将被邀请分享他们自己的教育环境中有关数据教育的信息和经验，并作为重要的朋友来改善学校数据教育项目。
As the use of data science continues to permeate business and civic life, school systems must adapt to prepare young people not only for employment in data related roles, but also to be active citizens within a data society. This workshop introduces the Data Education in Schools project which is designed to educate 3-18 year old learners about data across the curriculum. We will present an interdisciplinary curriculum framework for data education, based on the PPDAC cycle for statistical literacy and adapted for the Scottish Curriculum for Excellence. We will illustrate how values-based authentic problem solving projects related to real world data can integrate curriculum outcomes from computer science, mathematics and the social subjects. We will explain the rationale for the new Data Science qualification for school learners which is now offered by the Scottish Qualifications Authority. Workshop attendees be invited to share information and experiences about data education from their own educational settings and act as critical friends to improve the Data Education in Schools project.