Data Detectives: Using Real Data to Solve Real Community Health Problems

摘要 数据科学代表着科学和健康的多个发现领域的关键进展。然而，尽管 数据科学中如此巨大的创新，就像其他STEM领域的情况一样，关键群体显著低于- 在当前和预计的劳动力中占有一席之地，特别是女性和任职人数不足的少数群体 (西班牙裔或黑人)。此外，来自农村社区和较低社会经济背景的个人 不太可能从事STEM职业和学习数据科学。我们假设为学生提供一个 课程重点是使用人口级别的大数据进行社区卫生需求评估、规划、 分析、评价和应用将提高学生对科学和大的重要性的理解 实验室或教室以外的数据。我们设想这样一个项目将通过创造科学来吸引学生。 更适用。解决文献中的空白和缺乏实用工具来教会学生如何 在使用和应用基于人口的大数据方面，我们将为我们的新SEPA实现以下具体目标 计划，数据侦测：使用真实数据解决真实的社区健康问题：1)实施 新颖的、以问题为基础的体验式学习课程，面向代表性不足的中学生 直接应用于社区卫生的科学和数学内容和数据科学原理 问题；2)对项目进行强有力的评估，测量学生的知识、态度、自我 有效性和对未来STEM职业的追求；以及3)为广泛传播课程做准备 在佐治亚州和美国。该项目将为K-12学生使用真实数据提供基础 解决真正的问题，重点是改善社区的健康结果。建议的SEPA计划 满足NIGMS的三个优先领域：a)教学生使用大数据灌输需要计算和 量化技能；b)课程通过使用以问题为基础的学习展示了对现实世界的适用性 (PBL)挑战学生使用真实的基于人口的数据解决真正的社区层面的卫生问题；以及 C)该方案遵循一项强有力的混合方法评价计划，以量化和定性衡量 结果。研究教育方案计划涉及三个具体目标，并包括 适应以问题为基础的学习模式；符合MS NGSS的详细课程；明确 确定要使用的基于总体的数据集；明确的PBL场景示例；彻底的多样性 招聘计划，能够接触到大量不同的学生申请者；以及来自专家社区的明确意见 合作伙伴和评价专家。传播计划将在佐治亚州各地共享课程和材料 以及美国在一群中学生中评估这门课程的能力，以衡量其效果 关于未来STEM职业的潜力，然后最终在全国范围内传播到学校和非正式科学 教育方案，有能力以新的和重要的方式影响K-12教育方法。

Abstract Data sciences represent key advances for multiple areas of discovery in science and health. However, despite such vast innovations in data science, as is the case with other STEM fields, key groups are significantly under- represented in the current and projected workforce, particularly female and under-represented minority groups (Hispanic or Black). In addition, individuals from rural communities and lower socio-economic backgrounds are less likely to pursue STEM careers and study data sciences. We hypothesize that providing students with a curriculum focused on using population-level Big Data for community health needs assessment, planning, analysis, evaluation, and application will improve students’ understanding of the importance of science and Big Data beyond the laboratory or classroom. We envision such a program will engage students by making science more applicable. To address the gaps in the literature and the lack of practical tools to teach students how to both use and apply population-based Big Data, we will pursue the following Specific Aims for our new SEPA program, Data Detectives: Using Real Data to Solve Real Community Health Problems: 1) to implement a novel, problem-based, experiential learning curriculum to teach under-represented middle school students science and mathematics content and data science principles with direct application to community-based health issues; 2) to conduct a robust evaluation of the program with measures of student knowledge, attitudes, self- efficacy, and pursuit of future STEM careers; and 3) to prepare for broad dissemination of the curriculum throughout Georgia and the US. This program will provide the foundation for K-12 students to use real data to solve real problems focusing on improving health outcomes for communities. The proposed SEPA program meets three NIGMS priority areas: A) teaching students to use Big Data instills needed computational and quantitative skills; B) the curriculum demonstrates applicability to the real world by using problem-based learning (PBL) to challenge students to solve real community-level heath problems using real population-based data; and C) the program follows a robust mixed methods evaluation plan to measure both quantitative and qualitative outcomes. The Research Education Program plan addresses the three Specific Aims and includes rationale for adaptation of the Problem-Based Learning model; a detailed curriculum aligned with MS NGSS; clear identification of population-based datasets to be used; explicit examples of PBL scenarios; a thorough diversity recruitment plan with access to a large, diverse student applicant pool; and clear input from expert community partners and evaluation experts. The Dissemination Plan will share the curriculum and materials across Georgia and the U.S. The ability to evaluate this curriculum in a cohort of middle school students, to measure its effect on potential for future STEM careers, and then ultimately disseminate it nationally to schools and informal science education programs, has the capacity to impact K-12 educational approaches in new and important ways.