Engaging Rural Students in Advancement Opportunities through the Field of Data Analytics

通过数据分析领域让农村学生获得进步机会

• 批准号: 2202077
• 负责人: Cheryl Keymer
• 金额: $ 46.21万
• 依托单位: North Arkansas College
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-07-01 至 2025-06-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2202077&HistoricalAwards=false
• 关键词: Engaging; Rural; Students; Advancement; Opportunities

The geographical region served by this project supports a large number of students from groups which have been historically underrepresented in STEM career pathways. This project will emphasize recruitment, retention, and graduation of students from groups underrepresented in STEM disciplines, thus providing women and Hispanics in Northark’s service area with increased access to well-paying careers in data analytics. The project will serve regional and national interests by developing an Associate of Applied Science (AAS) degree in Data Analytics. The proposed degree program will prepare graduates to quickly and effectively enter the workplace. The students will work on case studies using real-world data. The proposed project plans to integrate communication, collaboration, professional ethics, critical thinking, and employability skills into course content. Data sources for projects will include data from Oceans of Data, DataCamp and anonymized North Arkansas College data generated from undergraduate research projects. The project team will collaborate with an active and engaged Business and Industry Leadership Team (BILT). The key activities of this proposal has the potential to be scaled and adapted by other two-year colleges and applied to other STEM disciplines. The project team intends to (1) immerse students in case studies and real-world data, (2) integrate communication, collaboration, critical thinking, and employability skills into data analytics content, (3) collaborate with local industry using a BILT, and (4) focus on development of a more diverse STEM community. Coupled with a concurrent credit pathway for high school students, this project team will lead to an increase in the number and diversity of highly prepared data analytics technicians. Best practices from the National Center for Women in Technology will be adapted to recruit and retain women and other students from underrepresented groups into the data analytics fields. This project is funded by the Advanced Technological Education program that focuses on the education of technicians for the advanced-technology fields that drive the Nation's economy.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.

该项目所服务的地理区域支持大量来自STEM职业道路历史上代表性不足的群体的学生。该项目将强调从STEM学科代表性不足的群体中招聘，保留和毕业学生，从而为Northark服务领域的女性和西班牙裔提供更多的数据分析高薪职业。该项目将通过开发数据分析应用科学（AAS）副学士学位来服务于区域和国家利益。拟议的学位课程将准备毕业生快速，有效地进入工作场所。学生将使用真实世界的数据进行案例研究。拟议的项目计划将沟通，协作，职业道德，批判性思维和就业技能纳入课程内容。项目的数据源将包括来自数据海洋、数据营和匿名北阿肯色州学院的数据，这些数据是从本科研究项目中产生的。项目团队将与积极参与的商业和工业领导团队（BILT）合作。该提案的主要活动有可能被其他两年制学院扩展和调整，并应用于其他STEM学科。项目团队打算（1）让学生沉浸在案例研究和现实世界数据中，（2）将沟通、协作、批判性思维和就业技能整合到数据分析内容中，（3）使用BILT与当地行业合作，（4）专注于发展更多元化的STEM社区。再加上高中生的并行信贷途径，这个项目团队将导致高度准备的数据分析技术人员的数量和多样性的增加。国家技术妇女中心的最佳做法将被调整，以招募和留住来自代表性不足群体的妇女和其他学生进入数据分析领域。该项目由先进技术教育计划资助，该计划侧重于推动国家经济的先进技术领域的技术人员的教育。该奖项反映了NSF的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准进行评估，被认为值得支持。