A collaborative data collection and analysis for inquiry-based experiential learning for health sciences related STEM education

针对健康科学相关 STEM 教育的基于探究的体验式学习的协作数据收集和分析

• 批准号: 10016382
• 负责人: Dirk Swart
• 金额: $ 72.33万
• 依托单位: WICKED DEVICE, LLC
• 依托单位国家: 美国
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-09-11 至 2022-09-10
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10016382
• 关键词: Active Learning; Acute; Address; Age; American; Area; Awareness; Bachelor' s Degree; Belief; Benchmarking; Big Data; Breathing; Collaborations; Commerce; Computer software; Data; Data Analyses; Data Analytics; Data Collection; Development; Devices; Doctor' s Degree; Education; Educational Curriculum; Engineering; Environment; Epidemiology; Evaluation; Exposure to; Fostering; Funding; Geography; Happiness; Health; Health Sciences; High School Student; Infrastructure; Investigation; Learning; Master' s Degree; Methodology; Minority; Minority Groups; Occupations; Pathway interactions; Persons; Phase; Preparation; Principal Investigator; Research; Robin bird; STEM career; Schools; Science; Science, Technology, Engineering and Mathematics; Science, Technology, Engineering and Mathematics Education; Scientific Evaluation; Scientific Inquiry; Self Efficacy; Small Business Innovation Research Grant; Structure; Students; Surveys; System; Technology; Testing; Time; Training; United States National Institutes of Health; Universities; Videoconferencing; Wages; Work; Youth; base; career; cloud based; college; cost; data literacy; data sharing; demographics; design; education research; ethnic diversity; experience; experimental study; falls; flexibility; high school; higher education; innovation; interest; literacy; peer; programs; project-based learning; prototype; racial and ethnic; racial and ethnic disparities; scale up; scientific literacy; shared database; skills; stem; tool; usability; web site; workforce needs

Abstract The U.S. Department of Commerce predicts that STEM (science, technology, engineering, and math) jobs occupations will grow by 8.9 % from 2014 to 2024, compared to 6.4% for non-STEM occupations. STEM wages are generally higher than non-STEM, with a 29% difference in 2015. Yet, current approaches to STEM education are falling significantly short. In 2016, 64% of U.S. high school students underwent American College Testing (ACT). Of these, only 20% attained the benchmark or higher for STEM scores, with percentages considerably lower for those in underrepresented racial/ethnic minority groups. Lack of racial/ethnic diversity persists into higher education. There is an acute need for educational opportunities that will not only enhance STEM literacy, but also increase the likelihood that students of diverse backgrounds will go on to pursue scientific careers. To date, there are no tools that allow student to tailor exploration to their own interests. For this SBIR proposal, Wicked Device will collaborate with Robin Taylor Wilson, the Principal Investigator of the Early Preparation and Inspiration for Careers in the Biomedical Sciences (EPIC) Program, to create a uniquely accessible and potentially transformative STEM education opportunity. Dr. Wilson's team has demonstrated that using epidemiologic principles for STEM education can increase interest and ability in related fields. Wicked Device's core innovation, a shared, cloud-based data collection and analysis platform for collaborative STEM and big data research and education, will be adapted to experiential learning opportunities in health sciences that use survey collected data (e.g. epidemiology). The resulting platform will create a fuller, real time, highly collaborative and highly engaging scientific experience that aligns with how scientific research is conducted in the real world. Wicked Device's technology will be the first educational platform to allow users to collaborate via a global multi-school network to develop innovative experiments and share findings, and will fulfill the need for educational platforms to expose students to big data collection and analytics. Most significantly, the platform allows students to conduct large scale experiments that stimulate their personal interests in health sciences. In Phase I, Wicked Device will develop the infrastructure and software applications to successfully create an innovative proof-of-concept educational, data collection and analysis platform for STEM education. Dr. Wilson's team will then evaluate the platform and associated curricula in secondary students for usability and feasibility. For Phase II, Wicked Device will build out the full system, including inter-school collaborative features such as videoconferencing to share and present data. Dr. Wilson's team will then conduct an expanded-scale, inter-school evaluation of the platform's ability to promote greater learning and more positive attitudes toward science in an education setting. At a high level, the proposed work aims to help effect the following societal improvements: increased data literacy; increased scientific collaboration in education, across geographic and interdisciplinary lines; and increased scientific literacy and interest across demographics.

摘要 美国商务部预测，STEM（科学，技术，工程和数学）工作 从2014年到2024年，非STEM职业将增长8.9%，而非STEM职业将增长6.4%。STEM工资 普遍高于非STEM，2015年差异为29%。然而，目前的STEM教育方法 明显不足。2016年，64%的美国高中生接受了美国大学测试。 （ACT）。其中，只有20%的学生达到了STEM分数的基准或更高， 代表性不足的种族/族裔少数群体的比例较低。缺乏种族/民族多样性持续存在， 高等教育迫切需要教育机会，不仅可以提高STEM素养， 而且也增加了不同背景的学生继续追求科学事业的可能性。到 迄今为止，还没有工具可以让学生根据自己的兴趣进行探索。对于SBIR提案， Wicked Device将与早期的首席研究员Robin Taylor Wilson合作。 准备和灵感的职业生涯在生物医学科学（EPIC）计划，创造一个独特的 可访问的和潜在的变革性STEM教育机会。威尔逊博士的团队 研究表明，使用流行病学原则进行STEM教育可以提高相关知识的兴趣和能力。 领域的Wicked Device的核心创新是一个共享的、基于云的数据收集和分析平台， 协作STEM和大数据研究和教育，将适应体验式学习机会 使用调查收集的数据的健康科学（例如流行病学）。由此产生的平台将创造一个更完整， 真实的时间，高度协作和高度参与的科学经验，与科学研究如何 是在真实的世界中进行的。Wicked Device的技术将成为第一个允许用户 通过全球多学校网络合作，开发创新实验和分享成果，并将实现 需要教育平台让学生接触大数据收集和分析。最重要的是 平台允许学生进行大规模的实验，激发他们对健康的个人兴趣 以理工科为重在第一阶段，Wicked Device将开发基础设施和软件应用程序， 为STEM教育创建一个创新的概念验证教育、数据收集和分析平台。博士 威尔逊的团队随后将评估该平台和中学生相关课程的可用性， 可行性在第二阶段，Wicked Device将构建完整的系统，包括校际协作功能 例如视频会议以共享和呈现数据。威尔逊博士的团队将进行扩大规模的， 校际评估平台促进更多学习和更积极态度的能力， 教育环境中的科学。在高层次上，拟议的工作旨在帮助实现以下社会 改进：提高数据素养;加强跨地域和跨部门的教育科学合作 跨学科路线;提高科学素养和对人口统计的兴趣。