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

摘要 数据科学代表了科学和健康领域多个发现领域的关键进步。但尽管 在数据科学的如此巨大的创新，与其他STEM领域的情况一样，关键群体显着不足- 在现有和预计的劳动力队伍中的代表性，特别是女性和代表性不足的少数群体 （西班牙裔或黑人）。此外，来自农村社区和社会经济背景较低的个人也受到歧视。 不太可能追求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科学重要性的理解。 实验室或教室之外的数据。我们设想这样一个项目将通过使科学 更适用。为了解决文献中的空白和缺乏实用工具来教学生如何 在使用和应用基于人口的大数据方面，我们将为新的SEPA实现以下具体目标 数据检测：使用真实的数据解决真实的社区健康问题：1）实施一个 一个新颖的，以问题为基础的，体验式学习课程，以教授代表性不足的中学生 科学和数学内容以及数据科学原理，直接应用于社区卫生 问题; 2）对该计划进行强有力的评估，衡量学生的知识，态度，自我， 有效性，追求未来的STEM职业;以及3）为课程的广泛传播做准备 整个格鲁吉亚和美国。该计划将为K-12学生使用真实的数据， 解决真实的问题，重点是改善社区的健康成果。SEPA计划 满足三个NIGMS优先领域：A）教学生使用大数据灌输所需的计算和 量化技能; B）课程通过使用基于问题的学习来展示对真实的世界的适用性 (PBL)鼓励学生利用基于真实的人口数据解决真实的社区一级的健康问题; C）该计划遵循一个强大的混合方法评估计划，以衡量定量和定性 结果。研究教育计划计划涉及三个具体目标，并包括以下基本原理： 适应基于问题的学习模式;与MS NGSS保持一致的详细课程;明确 确定将使用的基于人口的数据集; PBL情景的明确示例;全面的多样性 招聘计划可获得庞大、多元化的学生申请人库;以及专家社区的明确意见 合作伙伴和评价专家。传播计划将在整个格鲁吉亚共享课程和材料 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向学校和非正式科学传播 教育计划，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.