Pacific Excellence in Analytics through Research and Learning in Data Science

该项目将通过支持有经济需求的高成就、低收入学生的留校和毕业，为国家对受过良好教育的科学家、数学家、工程师和技术人员的需求做出贡献。具体来说，檀香山夏米纳德大学的这个项目将为20名攻读数据科学学士学位的学生提供奖学金。该项目以使用太平洋数据解决太平洋问题为主题，旨在使学生能够找到数据驱动的解决方案，以应对太平洋盆地的挑战。为此，它将实施以项目为基础的课程和实习，以企业、机构、社区和基层组织联盟提供的数据为中心。该项目希望培养一批太平洋数据科学专业人员，他们将进入区域研究和专业实践，并促进夏威夷经济部门以数据为导向的决策支持文化。该项目的目标是：(1)为高才华、低收入的太平洋学生减少参与数据科学的财务和学术障碍；(2)承认和解决太平洋学生在坚持和实现STEM方面面临的文化和非学术障碍；以及(3)开发新的课程和课外最佳做法，反映与学生需求、优势和文化期望相一致的数据科学培训。分层课程将通过强调从Python到人工智能、决策支持、数据可视化、数据伦理和数据通信的编码技能，解决直接和元学术成果。该项目将通过开发一套经过调整的高影响力的新实践，将数据科学计划与太平洋认识论联系起来，为STEM教育知识做出贡献。该项目旨在发展学生、地方、社区和雇主之间的联系，目的是减轻夏威夷的人才流失。该项目将进行研究，探索太平洋文化和西方方法在STEM学习中的整合、分离和协同作用。该项目由NSF的科学、技术、工程和数学奖学金项目资助，该项目旨在增加在STEM领域获得学位的低收入学术天才学生的数量。它还旨在改善未来STEM工作者的教育，并产生关于低收入学生的学业成功、留住、转移、毕业和学术/职业道路的知识。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。

This project will contribute to the national need for well-educated scientists, mathematicians, engineers, and technicians by supporting the retention and graduation of high-achieving, low-income students with demonstrated financial need. Specifically, this project at Chaminade University of Honolulu will provide scholarships to 20 students pursuing a bachelor’s degree in data science. Themed around using Pacific data to solve Pacific problems, the project aims to empower students to find data-driven solutions to challenges in the Pacific basin. To do so, it will implement project-based courses and internships centered on data provided by a coalition of businesses, agencies, and community and grassroots organizations. The project expects to produce a cohort of Pacific data science professionals who will enter regional research and professional practice, as well as contribute to a data-driven culture of decision support across Hawai'i’s economic sectors.The goals of the project are to: (1) Mitigate financial and academic barriers to data science participation for high talent, low-income Pacific students; (2) Acknowledge and address cultural and non-academic barriers to STEM persistence and attainment faced by Pacific students; and (3) Develop new curricular and extracurricular best practices that reflect data science training aligned with student needs, strengths, and cultural expectations. Layered curricula will address direct and meta-academic outcomes by emphasizing coding skills from Python to AI, decision support, data visualization, data ethics, and data communication. The project will contribute to STEM education knowledge through the development of an adapted suite of new high impact practices that will connect a data science program to Pacific epistemology. The project intends to develop connections between students, place, community, and employers, with the goal of mitigating Hawai'i’s talent drain. The project will conduct research to explore integration, separation, and synergism of Pacific cultural and Western approaches to STEM learning. This project is funded by NSF’s Scholarships in Science, Technology, Engineering, and Mathematics program, which seeks to increase the number of low-income academically talented students with demonstrated financial need who earn degrees in STEM fields. It also aims to improve the education of future STEM workers, and to generate knowledge about academic success, retention, transfer, graduation, and academic/career pathways of low-income students.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.