Data Science for All: Designing the Successful Inclusion of Data Science in High School Computer Science

纽约科学馆与哥伦比亚大学数据科学研究所/东北大数据创新中心和圣地亚哥超级计算机中心/西部大数据创新中心合作，将举办一个研讨会，探讨在高中计算机科学（CS）课程中纳入真实数据科学课程和实践项目的潜力。虽然通过全国CSforAll运动将计算机科学带给所有学习者已经取得了很大的进展，但将数据科学作为这一努力的一部分的尝试尚未成功。这些尝试受到了缺乏强有力的课程、资源和教师培训的限制，也许更重要的是，还受到缺乏可用工具和数据来源的限制。本次研讨会将利益相关者聚集在一起，考虑这些限制不再存在或可以克服的程度，以回答这个问题：数据科学是否为K-12做好了准备？为期两天的现场研讨会将讨论高中数据科学的现状，重点关注学生和教师的需求。参与者将包括高中学生及其教师，CSforAll项目开发人员，数据库和数据科学工具开发人员，实践数据科学家和学习科学，评估和评估专家，沿着来自学术界，工业界和州/地方政府的利益相关者。讲习班将： - 讨论在高中阶段将数据科学及其应用纳入计算机科学教育的障碍; - 提供由工具、数据库和软件开发人员、实践数据科学家准备的演示和演示， 学习研究人员描述经验证的做法; --举办一次合作性的头脑风暴会议，以确定适当的数据科学学习资源、工具和数据集， 为他们的应用制定路线图。结果将在一份白色文件中报告，其中阐明了前进的道路。该论文将在东北大数据创新中心数据素养网站上发布，并将成为部署建议的基础，以及将数据科学融入高中计算机科学的轨迹。该奖项反映了NSF的法定使命，并被认为值得通过使用基金会的智力价值和更广泛的影响审查标准。

The New York Hall of Science, in collaboration with the Columbia University Data Science Institute/Northeast Big Data Innovation Hub and the San Diego Supercomputer Center/West Big Data Innovation Hub, will run a workshop exploring the potential for including authentic data science curricula and hands-on projects in high school Computer Science (CS) courses. While there has been great progress in bringing computer science to all learners through the national CSforAll movement, attempts to introduce data science as part of that effort have not yet been successful. These attempts have been limited by a lack of robust curricula, resources, and teacher training and - perhaps more importantly - by a lack of accessible tools and data sources. This workshop brings together stakeholders to consider the extent to which these limitations either no longer exist or can be overcome in order to answer the question: Is data science ready for K-12?The 2-day in-person workshop will address the state of data science in high schools, focusing on the needs of students and teachers. Participants will include high school students and their teachers, CSforAll project developers, database and data science tool developers, practicing data scientists and specialists in learning sciences, assessment and evaluation, along with stakeholders from academia, industry, and state/local government. The workshop will: -- discuss impediments to the inclusion of data science and its applications in CS education at the high school level; -- provide presentations and demonstrations prepared by tool, database and software developers, practicing data scientists, and learning researchers to describe validated practices; and -- host a collaborative brainstorming session to identify appropriate data science learning resources, tools and data sets, and a draft roadmap for their application. The result will be reported in a white paper that articulates a path forward. The paper will be made available on the Northeast Big Data Innovation Hub data literacy website, and will form the basis for deployment recommendations and a trajectory for infusing data science into computer science at the high school level, and ultimately throughout formal education in the United States.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.