A data analytics certificate for non-computing majors.

非计算机专业的数据分析证书。

• 批准号: 2245960
• 负责人: Sambit Bhattacharya
• 金额: $ 40.32万
• 依托单位: Fayetteville State University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-07-01 至 2027-06-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2245960&HistoricalAwards=false
• 关键词: data; analytics; certificate; non; computing

This project aims to serve the national interest by creating and testing an innovative pathway for non-computing majors to stack micro credentials in technical skills, towards an academic certificate aligned to real-world career applications and providing students the skills needed for data-driven investigations in their respective disciplines. The resulting curriculum will feature a gentle introduction to programming using a no-code to low-code to high-code approach, to make it appealing to students from a broad-cross section of disciplines. The curriculum will be situated within the social justice context, making it appealing to historically marginalized communities in computing. This project will make data science more widely accessible, more relevant, and of greater interest to students in fields outside of Computer Science. The curriculum will be developed and tested within a rigorous research design which includes assessing the efficacy of the approach at raising awareness, access, and interest in data science. Research activities will inform the emerging data science for social justice certificate pathway within courses for non-computing majors, measure the efficacy of the certification innovation and its impacts on participants, and provide a means to produce fundamental, structural change in the computer science training landscape. The project team will assess (i) the utility and benefit of such a certification from practitioners’ perspectives using the Design Based Research approach (DBR), (ii) the efficacy of the approach in increasing the foundational knowledge of data science, shaping identities, perceptions, sense of abilities, and career choices of students, particularly from historically marginalized communities using the Social Cognitive Career Theory (SCCT) framework, and (iii) the ability of the proposed innovation to transform undergraduate computing education by identifying factors and supports that enable replication and sustainability using system mapping to study system-level change.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.

该项目旨在为国家利益服务，为非计算专业的学生创造和测试一条创新途径，让他们在技术技能方面积累微证书，获得与现实世界职业应用相一致的学术证书，并为学生提供各自学科中数据驱动调查所需的技能。由此产生的课程将以温和的编程入门为特色，使用从无代码到低代码再到高代码的方法，使其对来自不同学科的学生具有吸引力。课程将位于社会正义的背景下，使其对计算机领域历史上被边缘化的社区具有吸引力。这个项目将使数据科学更广泛地获得，更相关，并对计算机科学以外的领域的学生更感兴趣。该课程将在严格的研究设计中开发和测试，其中包括评估该方法在提高对数据科学的认识、获取和兴趣方面的有效性。研究活动将向非计算机专业课程中新兴的数据科学促进社会正义证书途径提供信息，衡量认证创新的效力及其对参与者的影响，并提供一种手段，在计算机科学培训领域产生根本性的结构性变化。项目小组将评估(I)从从业者的角度使用基于设计的研究方法(DBR)的这种认证的效用和好处，(Ii)该方法在增加数据科学的基础知识、塑造学生的身份、认知、能力意识和职业选择方面的有效性，特别是使用社会认知职业理论(SCCT)框架的来自历史边缘化社区的学生，以及(Iii)拟议的创新通过确定因素和支持来改变本科计算机教育的能力，使用系统映射来研究系统级别的变化，从而实现复制和可持续发展。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。