Expanding the Data Analytics Technician Pipeline from High School into College and High Demand Jobs in Southwest Ohio

将数据分析技术人员的管道从高中扩展到俄亥俄州西南部的大学和高需求工作

• 批准号: 2055411
• 负责人: Paul Hansford
• 金额: $ 57.63万
• 依托单位: Sinclair Community College
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-07-01 至 2024-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2055411&HistoricalAwards=false
• 关键词: Expanding; Data; Analytics; Technician; Pipeline

Data analytics is having an enormous impact on society and the economy. As the field of data analytics evolves, there will be an increasing need for technicians with skills in data analytics who can work in a wide range of job roles. Unfortunately, the number of students pursuing careers in data analytics is not keeping pace with workforce demand, particularly among populations underrepresented in science, technology, engineering, and mathematics. This project aims to prepare the future workforce by establishing pathways that generate interest in data analytics careers, support the transfer of data literate high school students into postsecondary programs, and prepare them to fill the growing demand for data analytics technicians. Project activities will provide multiple opportunities for high school students to explore and begin a data analytics pathway. The project will leverage several strategies for attracting and retaining populations typically underrepresented in STEM careers and support student success. These strategies include equitable and inclusive instructional design, experiential learning, accelerated credential completion, affordability, and comprehensive student support. In this project, Sinclair Community College will partner with local industry in southwest Ohio to develop a data analytics technician pathway for students that will facilitate their transfer into college and support their postsecondary credential completion in preparation for careers in data analytics. A stackable certificate model will be developed to prepare students for entry-level data analytics jobs and be beneficial to those who need to earn a credential quickly to enter the job market. The model will also provide clear pathways to further education that can lead to higher-paying jobs. The project will share data literacy concepts and information about data science careers with high school students and teachers. Dual high school/college credit courses will be offered to accelerate college credential completion while students are still in high school. The project will engage high school teachers in data literacy professional development opportunities to increase learning in statistics using R and Python for data analytics. College students will benefit from enhanced experiential learning opportunities designed to increase data career-related technical skills and connections with potential employers.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.

数据分析正在对社会和经济产生巨大影响。随着数据分析领域的发展，将越来越需要具有数据分析技能的技术人员，他们可以在各种工作岗位上工作。不幸的是，从事数据分析职业的学生数量跟不上劳动力需求的步伐，特别是在科学、技术、工程和数学领域代表性不足的人群中。该项目旨在通过建立对数据分析职业产生兴趣的途径，为未来的劳动力做好准备，支持将具有数据素养的高中生转移到中学后课程，并为他们做好准备，以满足对数据分析技术人员日益增长的需求。项目活动将为高中生提供多种机会，探索并开始数据分析途径。该项目将利用几种策略来吸引和留住通常在STEM职业中代表性不足的人群，并支持学生的成功。 这些策略包括公平和包容性的教学设计，体验式学习，加速证书完成，负担能力和全面的学生支持。在这个项目中，Sinclair Community College将与俄亥俄州西南部的当地行业合作，为学生开发一个数据分析技术人员途径，这将有助于他们转入大学，并支持他们完成中学后的证书，为数据分析职业做准备。将开发一个可堆叠的证书模型，为学生从事入门级数据分析工作做好准备，并对那些需要快速获得证书才能进入就业市场的人有益。该模式还将为进一步教育提供明确的途径，从而可以获得高薪工作。该项目将与高中学生和教师分享数据素养概念和数据科学职业信息。双高中/大学学分课程将提供，以加快大学文凭完成，而学生仍在高中。该项目将让高中教师参与数据素养专业发展机会，以增加使用R和Python进行数据分析的统计学学习。大学生将受益于增强的体验式学习机会，旨在提高数据职业相关的技术技能和与潜在雇主的联系。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。