Data science for youth in the time of COVID

J. Mokros, Jacob Sagrans, P. Noyce
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引用次数: 1

Abstract

Through the “COVID-Inspired Data Science through Epidemiology Education” project, 400 underserved middle-school youth across the United States are engaging in a 20-hour out-of-school data club centered on a novel. The narrative is integrated with hands-on data activities and modeling (e.g., creating graphs of infections over time in CODAP; modeling disease transmission rates in NetLogo). Youth learn to: 1) Use data tools to track the spread of a variety of infectious diseases; 2) Ask and address their own questions of data; and 3) Use data to communicate to local audiences about epidemiological patterns and challenges. The project breaks new ground in integrating data science with epidemiology education for 11–14-year-old youth.
新冠肺炎时代的青年数据科学
通过“流行病学教育中受新冠病毒启发的数据科学”项目,美国各地400名缺乏服务的中学生正在参加一个以小说为中心的20小时校外数据俱乐部。叙述与实际数据活动和建模相结合(例如,在CODAP中创建随时间变化的感染图表;在NetLogo中模拟疾病传播率)。青少年学会:1)使用数据工具跟踪各种传染病的传播情况;2)提出并解决他们自己的数据问题;3)利用数据向当地受众传达流行病学模式和挑战。该项目在将数据科学与11 - 14岁青少年的流行病学教育相结合方面开辟了新天地。
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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