Emerging Researchers National (ERN) Conference

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Data Science and Analytics Advancing STEM Education at North Carolina A&T State University

Faculty #54
Discipline: Mathematics & Statistics
Subcategory: STEM Research
- North Carolina A&T State University
Co-Author(s): Goldie S. Byrd, Margaret I. Kanipes and Dorothy Yuan North Carolina A&T State University, Greensboro, NC


In this poster presentation we will present project design and implementation progress on our NSF HBCU-UP ACE Implementation Project entitled, “Data Science and Analytics Advancing STEM Education at North Carolina A&T State University.” The overarching goal of this integrated, multidisciplinary undergraduate program is to use data science and analytics (DSA) to create an incubator for engaging URM students in computationally intensive tools training, data-enabled critical-thinking skills development, and global research and education experiences. Further, this project will transform institutional teaching and learning through evidence-based STEM gateway course reform and data-informed assessment and intervention. The program emphasizes curriculum and research infrastructure development, undergraduate research and global experience, faculty and student engagement, academic advising/mentoring, local HBCU and community health outreach, and education and research partnerships; it is guided by an education research project investigating these approaches’ efficacy in NCA&T’s environment. Through engaging students in cutting-edge research, coupled with close course and curricular ties and professional development among the STEM departments at NCA&T, the ACE project will increase exposure and extend benefits to many students and faculty from NCA&T and other HBCUs. It will broaden the DSA curriculum and education opportunities for undergraduate students at NCA&T and other HBCUs, fostering and nurturing students’ interest in this emerging discipline. It will help student participants at NCAT and other HBCUs to be more competitive in the global workforce and for graduate study in DSA. It will broaden faculty members’ expertise and skills in DSA, leading to improved and enhanced curricula at NCAT and other HBCUs as well as exciting and timely data science and analytics concepts introduced during and after the project period.

Funder Acknowledgement(s): This work is supported by the National Science Foundation under grant HRD 1719498

Faculty Advisor: None Listed,

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This material is based upon work supported by the National Science Foundation (NSF) under Grant No. DUE-1930047. Any opinions, findings, interpretations, conclusions or recommendations expressed in this material are those of its authors and do not represent the views of the AAAS Board of Directors, the Council of AAAS, AAAS’ membership or the National Science Foundation.