ACE Implementation Project: Data Science and Analytics Advancing STEM Education at North Carolina A&T State University

在历史悠久的黑人学院和大学实现卓越竞争力的实施项目-本科课程（HBCU-UP）提供支持，以设计，实施，研究和评估全面的机构努力，通过加强科学，技术，工程和数学（STEM）教育和研究来增加学生人数和他们的准备质量。北卡罗来纳州农业技术州立大学的这个项目旨在开发和实施一个创新的数据科学和分析教育和研究计划，以培养下一代本科生应对计算和数据科学的挑战。该项目将伴随着一项教育研究，该研究将研究教师发展的影响和通过实践社区对HBCU教师的支持结构。该项目的具体目标是：创造一个综合的教育和研究培训环境;提高教师在研究和奖学金方面的竞争力，并为学生在数据科学和分析方面的研究生学习和职业生涯做好准备;培养具有全球竞争力的学生;促进和支持教师在研究，教学和学习方面的学术研究;并与其他机构联系和合作。该计划将开发一个数据科学和分析证书课程，一个统计计算实验室和一个分析咨询中心，以扩大学生的参与和加强学生的准备，并支持教育和健康分析研究开发和推广。该项目将通过促进研究的专业发展和促进合作研究的机会，促进教师的研究增长。通过与两所中国研究型大学的合作，研究和留学经历将使学生接触到中国的数据科学研究社区。教师通过奖学金计划，半年度教育研究研讨会，研讨会和研究务虚会参与教育分析和发展的学术调查，将改变教学法和机构教学。 该计划有可能成为其他类似机构的本科数据科学和分析教育，研究和培训的可复制模型。

Achieving Competitive Excellence Implementation Projects in the Historically Black Colleges and Universities - Undergraduate Program (HBCU-UP) provide support to design, implement, study and assess comprehensive institutional efforts to increase the numbers of students and the quality of their preparation by strengthening science, technology, engineering and mathematics (STEM) education and research. This project at North Carolina Agricultural and Technical State University seeks to develop and implement an innovative data science and analytics education and research program to train the next generation of undergraduate students to confront the challenges in computational and data-enabled science. The project will be accompanied by an educational research study which will study the impact of faculty development and structures of support through communities of practice on faculty at the HBCU. The project is guided and informed by an on-going evaluation.Specific objectives of the project are: to create an integrated education and research training environment; to increase faculty competitiveness in research and scholarship and prepare student readiness for graduate studies and professional careers in data science and analytics; to prepare globally competitive students; to facilitate and support faculty scholarly inquiries in research, teaching and learning; and to reach out to and collaborate with other institutions. The program will develop a data science and analytics certificate program, a statistical computing laboratory, and an analytical consulting center to broaden the participation and enhance preparation of students as well as support education and health analytics research development and outreach. The project will facilitate faculty research growth by contributing to professional development in research and by promoting collaborative research opportunities. Research and study abroad experiences through partnerships with two Chinese research universities will expose students to the data science research communities in China. Faculty engagement in scholarly inquiries in education analytics and development through a fellowship program, semi-annual education research symposia, workshops and research retreats will transform pedagogy and institutional teaching and learning. The program has the potential to be a replicable model in undergraduate data science and analytics education, research and training for other similar institutions.